Reviewing once more the c-myc and Ras collaboration

The c-myc is a proto-oncogene that manifests aberrant expression at high frequencies in most types of human cancer. C-myc gene amplifications are often observed in various cancers as well. Ample studies have also proved that c-myc has a potent oncogenicity, which can be further enhanced by collaborations with other oncogenes such as Bcl-2 and activated Ras. Studies on the collaborations of c-myc with Ras or other genes in oncogenicity have established several basic concepts and have disclosed their underlying mechanisms of tumor biology, including “immortalization” and “transformation”. In many cases, these collaborations may converge at the cyclin D1-CDK4 complex. In the meantime, however, many results from studies on the c-myc, Ras and cyclin D1-CDK4 also challenge these basic concepts of tumor biology and suggest to us that the immortalized status of cells should be emphasized. Stricter criteria and definitions for a malignantly transformed status and a benign status of cells in culture also need to be established to facilitate our study of the mechanisms for tumor formation and to better link up in vitro data with animal results and eventually with human cancer pathology.     

Milking the stroma in triple-negative breast cancer

Comment on: Witkiewicz AK, et al. Cell Cycle 2012; 1108–1117Investment in the post-genomic molecular dissection of breast cancer has resulted in an emphasis on prognostic and predictive markers, signatures derived to stratify the disease and the drive to generate targeted therapies. However, there remain significant challenges to individualize therapeutic targeting and improve the prognosis for the thousands of women who die each year from the heterogeneous range of breast cancers. This is particularly true for poor prognosis “triple-negative” breast cancers (TNBC), most prevalent in young and African American women, lacking the established therapeutic targets of estrogen receptor, progesterone receptor or HER2.Research has largely focused on the epithelial component of breast cancer rather than the tumor microenvironment, now recognized as a key hallmark of cancer.¹ In vitro, animal models and observations on clinical material² are now moving to consider physiological mechanisms by which stromal cells may influence breast epithelial and carcinoma cells.Witkiewicz et al.³ build on published evidence from the Lisanti group that cancer cells secrete hydrogen peroxide, initiating oxidative stress and aerobic glycolysis in tumor stroma, with L-lactate secretion from cancer-associated fibroblasts fueling oxidative mitochondrial metabolism in epithelial cancer cells: the “reverse Warburg effect.”They demonstrate stromal monocarboxylate transporter 4 (MCT4), detected by immunohistochemistry, as a functional marker of stromal hypoxia, oxidative stress, aerobic glycolysis and L-lactate efflux. High stromal MCT4 expression (but, critically, not epithelial MCT4) was associated with poor prognosis in TNBC patients. Combined high stromal MCT4 and loss of stromal caveolin-1 identify particularly poor prognostic TNBC.Thus, development of cancer may not lie solely in genetic or epigenetic epithelial changes, but with acquired functional changes in the stromal infrastructure of the breast. This supports the concept of epithelial malignant changes consequent with ecological and evolutionary opportunity.⁴ The “parasitic” character of tumor cells feeding off stromal cells highlights the need to seriously consider both ecological and biophysical concepts.⁵ We need to think beyond “intraspecific” competition among clonal subpopulations in the tumor and to consider tumor and stromal cells as distinct populations in a cancer ecosystem, with a range of “interspecific” competitive, exploitative and opportunistic interactions. Furthermore, the reverse Warburg effect relies on the inefficient diffusion of nutrients from stromal cells to tumor cells in a complex three-dimensional space. The extracellular space is brought to the foreground, and physical properties of molecular transport in this space may have as much impact on tumor growth as intricate cellular processes. The importance of the spatial arena is also apparent when contrasting the reverse Warburg effect with angiogenesis. In the former, tumor cells are exploiting their local environment, which will presumably be of limited yield, whereas angiogenesis taps the nutrients of the entire organism—­an effectively infinite reservoir for a growing tumor. In the reverse Warburg effect, a balance of ecological and biophysical factors underpins the sustainability of this mode of cancer nutrition. A two-compartment model coupling oxidative epithelial cells with glycolytic fibroblasts reflects increased expression of hypoxia-associated genes as a component part of prognostic stromal signatures.⁶ Further evidence of stromal/epithelial interaction comes from evidence that the effects of radiation on normal breast epithelium in vivo is at least partially dependent on the stromal context.⁷Manipulation of the tumor microenvironment to promote an anticancer phenotype challenges the cancer treatment paradigm. The long-established antidiabetes biguanide drugs offer a low-toxicity opportunity to disrupt the reverse Warburg effect. Metformin may target the cancer mitochondria³ and phenformin induce stromal sclerosis, at least in a breast cancer xenograft model,⁸ in addition to in vivo AMPK pathway and insulin-mediated systemic effects of metformin in women with breast cancer.⁹ The reverse Warburg effect challenges our therapeutic focus on breast cancer epithelium. Stromal MCT4 expression with caveolin-1 loss identifies poor prognostic TNBC patients and emphasizes the roles of the tumor microenvironment and ecological interactions between distinct populations of cells. The challenges now revolve around therapeutic manipulation of the stroma/epithelial interaction and the extracellular space, and testing these concepts in pre-invasive and metastatic settings where stromal changes may provide tissue niches of evolutionary opportunity for malignant cells.     

Fasting and differential chemotherapy protection in patients

Chronic calorie restriction has been known for decades to prevent or retard cancer growth, but its weight-loss effect and the potential problems associated with combining it with chemotherapy have prevented its clinical application. Based on the discovery in model organisms that short term starvation (STS or fasting) causes a rapid switch of cells to a protected mode, we described a fasting-based intervention that causes remarkable changes in the levels of glucose, IGF-I and many other proteins and molecules and is capable of protecting mammalian cells and mice from various toxins, including chemotherapy. Because oncogenes prevent the cellular switch to this stress resistance mode, starvation for 48 hours or longer protects normal yeast and mammalian cells and mice but not cancer cells from chemotherapy, an effect we termed Differential Stress Resistance (DSR). In a recent article, ten patients who fasted in combination with chemotherapy, reported that fasting was not only feasible and safe but caused a reduction in a wide range of side effects accompanied by an apparently normal and possibly augmented chemotherapy efficacy. Together with the remarkable results observed in animals, these data provide preliminary evidence in support of the human application of this fundamental biogerontology finding, particularly for terminal patients receiving chemotherapy. Here we briefly discuss the basic, pre-clinical and clinical studies on fasting and cancer therapy.Key words: fasting, cancer, chemotherapy, calorie restriction, stress resistanceAfter decades of slow progress in the identification of treatments effective on a wide range of malignancies, cancer treatment is now turning to personalized therapies based in part on pharmacogenomics. By contrast, aging research is moving in the opposite direction by searching for common ways to prevent, postpone and treat a wide range of age-related diseases, based on the modulation of genetic pathways that are conserved from yeast to mammals.¹ In fact, it may be a solid evolutionary and comparative biology-foundation, which makes this ambitious goal of biogerontologists a realistic or at least a promising one. On the other hand, the progress of biogerontology is viewed by many clinicians as too fundamental and far from translational applications. In most cases, it is not clear how aging research will be translated into FDA approved drugs or treatments that have effects that are superior to those already available or being developed. For example, it is not clear how the long-term 20–30% reduction in calorie intake (dietary restriction, DR) that we and many others before us have shown to be effective in extending the life span of model organisms will make humans live longer or healthier.^1–3 Furthermore, despite the fact that long-term DR was confirmed to reduce cancer and cardiovascular disease in monkeys⁴ and to be effective in preventing obesity, type 2 diabetes, inflammation, hypertension and atherosclerosis, as indicated by the early results in humans studies,⁵ it is highly unlikely to be adopted in its more extreme and effective version by even a small portion of the population. For example, the 20 to 40% chronic reduction in daily calorie intake shown to be effective in retarding cancer growth in mice would not be feasible for cancer therapy for multiple reasons: (1) the effects of chronic DR in patients with a clinically evident tumor is expected to delay but not stop the progression of the disease^6–8 and this delay may only occur for a portion of the malignancies,⁹ (2) although weight loss and cachexia in the early stages of treatment are less prevalent than commonly thought,^10–12 the ∼15% loss of BMI and ∼30% long-term loss of body fat caused by a moderate (20%) calorie restriction¹³ may be tolerated by only a very small portion of cancer patients receiving treatment, (3) Because this long-term restriction is accompanied by delayed wound healing and immunologic impairment in rodents,^1,14,15 it is not clear what risks it may impose on cancer patients receiving treatment.¹⁶ Our studies of DSR, which were triggered by our fundamental findings that switching yeast cells to water protected them against a wide range of toxins, started as a way to address these concerns but also as an attempt to achieve a much more potent therapeutic effect than that achieved by DR.^17,18 Because starvation-induced protection can increase many fold when combined with modulation of pro-aging pathways and since it is in principle blocked by the expression of any oncogene, it has the potential to provide a method to allow common chemotherapy to selectively kill cancer cells, independently of the type of cancer.^19–21 The DSR experiments in mammals were also based on our hypothesis that stress resistance and aging regulatory pathways were conserved from yeast to mammals.We found that fasting for 48 or more hours or in vitro starvation conditions that mimic fasting protected mice and/or normal cells but not cancer cells from various chemotherapy drugs and other deleterious agents.²¹ This effect was shown to depend in part on the reduction of circulating IGF-I and glucose levels.^21,22 Although a differential regulation of cell division in normal and cancer cells^23,24 is likely to contribute to DSR, much of it appears to be dependent on protective systems which are normally maintained in an inactive or low activity state even in non-dividing cells.^1,25 In fact, in non-dividing yeast and mice, deficiencies in glucose or IGF-I signaling that match those observed after starvation promote resistance to doxorubicin, a chemotherapy drug that specifically targets muscle cells in the heart.^21,22As expected, many clinicians were skeptical of our hypothesis that cancer treatment could be improved not by a “magic bullet” but by a “not so magic DSR shield” as underlined by Leonard Saltz, an oncologist at Memorial Sloan-Kettering Cancer Center: “Would I be enthusiastic about enrolling my patients in a trial where they''re asked not to eat for 2.5 days? No.”²⁶ However, ten oncologists did allow their patients, suffering from malignancies ranging from stage II breast cancer to stage IV esophageal, prostate and lung malignancies to undergo a 48–140 hours pre-chemotherapy and a 5–56 hours post chemotherapy water-only fast. The six patients who received chemotherapy with or without fasting reported a reduction in fatigue, weakness and gastrointestinal side effects while fasting²⁷ (Fig. 1). A trend for a reduction of many additional side effects was also reported by the group of patients who always fasted before chemotherapy.²⁷ In those patients whose cancer progression was assessed, chemotherapy was effective and in some cases it was highly effective.²⁷ A clinical trial sponsored by the V-Foundation for Cancer Research, aimed at testing the safety and efficacy of a 24 hour fast in combination with chemotherapy, is in its safety stage. Because it was originally limited to patients diagnosed with bladder cancer the clinical trial progressed slowly. However, its recent expansion to include patients receiving platinum-based chemotherapy (breast, ovarian, lung cancer), is expected to expedite it. Conclusive results for the effect of a 3–4 day fast on chemotherapy-dependent side effects and possibly therapeutic index are not expected to become available for several years. Even if a more modest effect than the 1,000-fold differential protection against oxidative stress and chemotherapy observed in normal and cancer-like yeast cells was achieved in humans, this method could result in long-term survival for many patients with metastatic cancers, particularly those in which malignant cells have not acquired multidrug resistance.Open in a separate windowFigure 1Average self-reported severity of symptoms in patients that have received chemotherapy with or without fasting.     

ATG7 contributes to plant basal immunity towards fungal infection

Autophagy has an important function in cellular homeostasis. In recent years autophagy has been implicated in plant basal immunity and assigned negative (“anti-death”) and positive (“pro-death”) regulatory functions in controlling cell death programs that establish sufficient immunity to microbial infection. We recently showed that Arabidopsis mutants lacking the autophagy-associated (ATG) genes ATG5, ATG10 and ATG18a are compromised in their resistance towards infection with necrotrophic fungal pathogens but display an enhanced resistance towards biotrophic bacterial invaders. Thus, the function of autophagy as either being pro-death or anti-death depends critically on the lifestyle and infection strategy of invading microbes. Here we show that ATG7 contributes to resistance to fungal pathogens. Genetic inactivation of ATG7 results in elevated susceptibility towards the necrotrophic fungal pathogen, Alternaria brassicicola, with atg7 mutants developing spreading necrosis accompanied by production of reactive oxygen intermediates. Likewise, treatment with the fungal toxin fumonisin B1 causes spreading lesion formation in the atg7 mutant. We conclude that ATG7-dependent autophagy constitutes an “anti-death” (“pro-survival”) plant mechanism to control the containment of cell death and immunity to necrophic fungal infection.Key words: autophagy, ATG7, basal immunity, fungal resistance, arabidopsisPlants have evolved a bipartite plant immune system to cope with microbial infections. The first layer of defense relies on the recognition of pathogen-associated molecular patterns (PAMP) by pattern-recognition receptors (PAMP-triggered immunity, PTI).^1,2 To overcome this defense strategy, successful pathogens deliver so-called effector proteins into plant cells to modify host cellular processes and to suppress immune responses to enhance virulence. The presence or activities of these microbial effectors is sensed by plant resistance proteins and triggers the second layer of defense, the effector-triggered immunity (ETI).^1,2 In contrast to PTI, ETI is most often accompanied by programmed host cell death (PCD) at the site of attempted microbial invasion; however the molecular basis of this apoptosis-like hypersensitive response (HR) is largely unknown.In recent years evidence accumulated that a non-apoptotic form of cell death called autophagy is not only involved in animal PCD and innate immunity³ but is also an important component in the plant basal immune response.⁴ Generally, autophagy (auto, meaning “self” and phagy, “to eat”) is a cytoplasmic bulk degradation process in which cellular components are targeted to lysosomal or vacuolar degradation. This process is ubiquitous in eukaryotic organisms and is considered to aid cellular survival, differentiation, development and homeostasis by nutrient recycling or removal of damaged or toxic materials.^5–7     

Trichomes as sensors: Detecting activity on the leaf surface

The dramatic movements of some carnivorous plants species are triggered by sensory structures derived from trichomes. While unusual plant species such as the Venus fly trap and sundews may be expected to have elaborate sensors to capture their insect prey, more modest plant species might not be expected to have similar sensory capabilities. Our recent work, however, has revealed that glandular trichomes on tomato (Solanum lycopersicum) appear to have a function similar to trigger hairs of carnivorous species, acting as “early warning” sensors. Using a combination of behavioral, molecular, and biochemical techniques, we determined that caterpillars, moths and mechanical disruption upregulate signaling molecules and defensive genes found in glandular trichomes. Importantly, we discovered that plants whose trichomes have been broken respond more vigorously when their defenses were induced. Taken together, our results suggest that glandular trichomes can act as sensors that detect activity on the leaf surface, and ready plants for herbivore attack.Key words: glandular trichome, induced responses, jasmonic acid, plant-insect interactions, sensor, Solanum lycopersicum, tomatoCertain plant species are renowned for their ability to respond to contact. The Venus fly trap (Dionaea muscipula) and sundew (Drosera) species come to mind quickly as obviously thigmotropic species. When an insect lands on these carnivorous plant species, dramatic movements ensue once the prey is detected. Some Drosera species respond to contact by bending their “tentacles” toward their trapped prey to further ensnare the victim and begin the process of digestion. These dramatic plant species have captured the attention of many scientists, including Darwin, who remarked on the “extraordinary sensitiveness of [their] glands to slight pressure” and surmised that the tentacles of sundew plants “existed primordially as glandular hairs.”¹ As is often the case, Darwin appears to have been quite right. Indeed, morphological and molecular work supports the notion that sundew tentacles and the trigger hairs of the Venus fly trap are homologous sensory structures likely derived from trichomes.^2,3Given Darwin’s appreciation of these trichome-derived sensory organs, he perhaps would not have been surprised by mounting evidence that suggests that trichomes may play even a broader sensory role for plants. We have recently found evidence that glandular trichomes can act as early detection sensors for some plant species.⁴ These trichomes can be disrupted by the footsteps of walking moths and caterpillars (and other forms of light touching), and this apparently minor plant damage leads to a state of defensive readiness that allows plants to respond to herbivory more quickly than undamaged plants. While this level of trichome-mediated detection does not result in the conspicuous responses of some carnivorous plant species, it still results in significant physiological changes that prepare plants for attack.In our recent effort, we worked with tomato (Solanum lycopersicum), using a combination of behavioral, molecular, and biochemical techniques to understand the role of trichomes in detecting activity on the leaf surface.⁴ Defense signaling has been well studied in tomato and there exists a variety of mutants whose defensive responses have been compromised. Moreover, it has been known that tomatoes have a variety of trichome types, including two types of glandular trichomes that burst upon contact with insects, releasing their cellular contents and physically impeding insects (Fig. 1).^5,6Open in a separate windowFigure 1Surface of a tomato leaf showing (A) intact rounded heads of glandular trichomes (black arrows) and (B) trichomes disrupted with a gloved hand (absence of rounded heads except for a few in the upper left corner [black arrows]). Images were captured at 36x magnification and were taken from different parts of the same leaf.To determine if plant defense pathways were induced by insect contact, we allowed three species of caterpillar (Manduca sexta, Heliothis virescens and Helicoverpa zea) and one species of moth (H. zea) to crawl over tomato leaves for ten minutes. As a positive control, we also lightly rubbed leaves with a gloved hand or a metal rod. Within time frames ranging from three to twenty-four hours all treatments, insect and otherwise, significantly induced defensive genes as measured by qRT-PCR. Using a combination of RT-PCR and in situ hybridization, we confirmed that JA-signaling and defensive genes are expressed in trichomes. A GC-MS-based technique then confirmed that JA was present in trichomes of undamaged plants and DAB staining, in combination with catalase treatment, provided evidence that hydrogren peroxide and JA are key signals mediating defensegene induction. These conclusions were further reinforced by experiments with def1 mutants, a line of tomato impaired in JA signaling, and accession LA3610, a tomato variety with reduced numbers of trichomes. Lastly, we conducted a factorial experiment both disrupting trichomes and treating tomato plants with methyl jasmonate (MeJA), which induces plant defenses and increases densities of trichomes.⁷ Results of this final experiment indicated that plants that received both treatments (i.e., MeJA and disruption) had greater defensive gene induction than plants that were only treated with MeJA or plants whose trichomes remained intact, suggesting that increases in trichomes may contribute to greater sensitivity to touch-induced responses.Taken together, our results are highly suggestive that trichomes can act as “early warning” detectors for plants. Moths seeking to lay eggs on tomato are likely to break trichomes as they explore leaves, upregulating plant defenses in anticipation of egg hatch and feeding by neonate caterpillars. Similarly, herbivores colonizing a new host plant and breaking trichomes on their way across a leaf also appear to “tip the plant off” to impending attack. Considering the drastic response of carnivorous plants to touch, perhaps it should not be surprising that trichomes can function more broadly as sensors. In an evolutionary context, it seems logical that trichomes took on this role. For many plant species, “hairy” varieties receive less herbivory,⁸ so within a population there could have been a fitness advantage in having more trichomes. Once established, this hairy phenotype could then have been refined via mutation and selection for trichome varieties that had functions adaptive for the plant, perhaps driving the evolution of glandular trichomes and their role as sensors.Granted, the generalized nature of our results would appear to indicate that plants could be “primed” by nearly any arthropod species that crosses one of their leaves. This would, of course, include natural enemies, which are capable of decreasing herbivore pressure and improving plant fitness.^9,10 However, it has been hypothesized that priming evolved due to high fitness costs associated with defensive induction following threats of only minor severity.¹¹ Priming provides an advantage by settling plants into an intermediate “ready” state that allows them to deploy strong defense responses more quickly and the fitness cost associated with being “primed” are lower than full defensive induction.¹² Presumably, fitness costs following priming due to natural enemyinduced trichome disruption would also be less than the cost incurred from a bout of unanticipated herbivory and, over the life of the plant, it would be worth the effort to prepare for attack even if the perceived risk is from a natural enemy and not a foe.Our results build on previously reported priming mechanisms that prepare plants for attack.^13,14 And they reveal an additional level of sophistication in the sensory capabilities of plants, which have already been shown to be able to detect nearby threats of herbivory and increase their defenses in response.^15,16 It seems that trichomes may have played a much wider role in shaping the nature of plant-animal interaction than previously recognized and we look forward to further work elaborating their function.     

CTGF-mediated autophagy-senescence transition in tumor stroma promotes anabolic tumor growth and metastasis

Comment on: Capparelli C, et al. Cell Cycle 2012; 11:2272-84 and Capparelli C, et al. Cell Cycle 2012; 11:2285-302.Otto Warburg first observed that cancer cells preferentially undergo glycolysis instead of the mitochondrial TCA cycle even under oxygen-rich conditions. This form of energy metabolism in cancer cells is called “aerobic glycolysis” or the “Warburg effect.”¹ Lisanti and colleagues have previously proposed an alternative model called the “the reverse Warburg effect,” in which aerobic glycolysis predominantly occurs in stromal fibroblasts.² During this process, cancer cells secrete oxidative stress factors, such as hydrogen peroxide, into the tumor microenvironment, which induces autophagy. This leads to degradation of mitochondria (mitophagy) and elevated glycolysis in cancer-associated fibroblasts.³ Aerobic glycolysis results in the elevated production of pyruvate, ketone bodies and L-lactate, which can be utilized by cancer cells for anabolic growth and metastasis. At the molecular level, stromal fibroblasts lose expression of caveolin-1 and activate HIF-1a (Fig. 1), TGFβ and NFκB signaling.⁴ Stromal caveolin-1 expression predicts clinical outcome in breast cancer patients.⁵Open in a separate windowFigure 1. CTGF-mediated autophagy-senescence transition in tumor stroma promotes anabolic tumor growth and metastasis. Cancer cells secrete oxidative stress factors (H₂O₂) that induce autophagy in cancer-associated fibroblasts. Additionally, caveolin-1 (cav-1) loss leads to activation of connective tissue growth factor (CTGF) and HIF-1α that mediate autophagy and senescence in these stromal cells. This is called the autophagy-senescence transition (AST). AST leads to mitophagy and elevated glycolysis in cancer-associated fibroblasts. Aerobic glycolysis results in the elevated production of several nutrients (pyruvate, ketone bodies and L-lactate), which can be utilized by cancer cells for tumor growth and metastasis.In the June 15, 2012 issue of Cell Cycle, two studies by Capparelli et al. further validate the “autophagic tumor stroma model of cancer” described above, as well as identify novel mechanisms involved in this process.^6,7 Autophagy and senescence are induced by the same stimuli and are known to occur simultaneously in cells. In the first study, the authors hypothesize that the onset of senescence in the tumor stroma in response to autophagy/mitophagy contributes to mitochondrial dysfunction and aerobic glycolysis. In order to genetically validate this process of autophagy-senescence transition (AST) (Fig. 1), Capparelli et al. overexpressed several autophagy-promoting factors (BNIP3, cathepsin B, Beclin-1 and ATG16L1) in hTERT fibroblasts to constitutively induce autophagy. Autophagic fibroblasts lost caveolin-1 expression and displayed enhanced tumor growth and metastasis when co-injected with breast cancer cells in mice, without an increase in angiogenesis. In contrast, constitutive activation of autophagy in breast cancer cells inhibited in vivo tumor growth. Autophagic fibroblasts also showed mitochondrial dysfunction, increased production of nutrients (L-lactate and ketone bodies) and features of senescence (β-galactosidase activity and p21 activation). AST was also demonstrated in human breast cancer patient samples.⁷ In the second study, using a similar experimental approach, the authors evaluated the role of the TGFβ target gene, connective tissue growth factor (CTGF), in the induction of AST and aerobic glycolysis in cancer-associated fibroblasts. CTGF would be activated in the tumor stroma upon loss of caveolin-1. CTGF overexpression in fibroblasts induced autophagy/mitophagy, glycolysis and L-lactate production in a HIF-1α-dependent manner along with features of senescence and oxidative stress. CTGF overexpression in fibroblasts also promoted tumor growth when co-injected with breast cancer cells in mice (Fig. 1), independent of angiogenesis. As expected, CTGF overexpression in breast cancer cells inhibited tumor growth. CTGF is known to be involved in extracellular matrix synthesis; however, the effects of CTGF overexpression in fibroblasts and tumor cells were found to be independent of this function.⁶Overall, the authors have identified a novel mechanism by which CTGF promotes AST and aerobic glycolysis in cancer-associated fibroblasts. In turn, the stromal cells stimulate anabolic tumor growth and metastasis. The authors also genetically validate the two-compartment model of cancer metabolism, whereby autophagy genes and CTGF have differential effects in stromal cells and tumor cells. The current studies have several implications for cancer therapy. The finding that HIF-1 activation is necessary for the induction of autophagy and senescence downstream of caveolin-1 loss and CTGF activation in stromal fibroblasts is intriguing. Activation of HIF-1 in the hypoxic tumor microenvironment is known to promote tumor cell growth, survival and therapeutic resistance.⁸ Therefore, targeting HIF-1 has the potential to block tumor progression through dual inhibitory effects on hypoxic cancer cell growth and survival as well as the induction of autophagy in stromal fibroblasts. CTGF and AST in the tumor stroma could serve as biomarkers for predicting clinical outcome, therapy response and metastasis. The two-compartment model of tumor metabolism raises further questions regarding the use of antioxidants and autophagy inhibitors/inducers for cancer therapy. The use of these agents in the clinic should be carefully evaluated considering their differential effects on stromal cells and cancer cells.     

Integrin switching modulates adhesion dynamics and cell migration

When cells are stimulated to move, for instance during development, wound healing or angiogenesis, they undergo changes in the turnover of their cell-matrix adhesions. This is often accompanied by alterations in the expression profile of integrins—the extracellular matrix receptors that mediate anchorage within these adhesions. Here, we discuss how a shift in expression between two different types of integrins that bind fibronectin can have dramatic consequences for cell-matrix adhesion dynamics and cell motility.Key words: integrin, fibronectin, migration, cytoskeleton, dynamicsCells attach to the extracellular matrix (ECM) that surrounds them in specialized structures termed “cell-matrix adhesions.” These come in different flavors including “focal complexes” (small adhesions found in membrane protrusions of spreading and migrating cells), “focal adhesions” (larger adhesions connected by F-actin stress fibers that are derived from focal complexes in response to tension), “fibrillar adhesions” (elongated adhesions associated with fibronectin matrix assembly), and proteolytically active adhesions termed “podosomes” or “invadopodia” found in osteoclasts, macrophages and certain cancer cells. Common to all these structures is the local connection between ECM proteins outside- and the actin cytoskeleton within the cell through integrin transmembrane receptors. The intracellular linkage to filamentous actin is indirect through proteins that concentrate in cell-matrix adhesions such as talin, vinculin, tensin, parvins and others.¹Cell migration is essential for embryonic development and a number of processes in the adult, including immune cell homing, wound healing, angiogenesis and cancer metastasis. In moving cells, cell-matrix adhesion turnover is spatiotemporally controlled.² New adhesions are made in the front and disassembled in the rear of cells that move along a gradient of motogenic factors or ECM proteins. This balance between formation and breakdown of cell-matrix adhesions is important for optimal cell migration. Several mechanisms regulate the turnover of cell-matrix adhesions. Proteolytic cleavage of talin has been identified as an important step in cell-matrix adhesion disassembly³ and FAK and Src family kinases are required for cell-matrix adhesion turnover and efficient cell migration.^4,5 Besides regulating phospho-tyrosine-mediated protein-protein interactions within cell-matrix adhesions, the FAK/Src complex mediates signaling downstream of integrins to Rho GTPases, thus controlling cytoskeletal organization.^6,7 The transition from a stationary to a motile state could involve (local) activation of such mechanisms.Interestingly, conditions of increased cell migration (development, wound healing, angiogenesis, cancer metastasis) are accompanied by shifts in integrin expression with certain integrins being lost and others gained. Most ECM proteins can be recognized by various different integrins. For instance, the ECM protein, fibronectin (Fn) can be recognized by nine different types of integrins and most of these bind to the Arg-Gly-Asp (RGD) motif in the central cell-binding domain. Thus, cell-matrix adhesions formed on Fn contain a mixture of different integrins and shifts in expression from one class of Fn-binding integrins to another will alter the receptor composition of such adhesions. This may provide an alternative means to shift from stationary to motile.Indeed, we have found that the type of integrins used for binding to Fn strongly affects cell migration. We made use of cells deficient in certain Fn-binding integrins and either restored their expression or compensated for their absence by overexpression of alternative Fn-binding integrins. This allowed us to compare in a single cellular background cell-matrix adhesions containing α5β1 to those containing αvβ3. Despite the fact that these integrins support similar levels of adhesion to Fn, only α5β1 was found to promote a contractile, fibroblastic morphology with centripetal orientation of cell-matrix adhesions⁸ (Fig. 1). Moreover, RhoA activity is high in the presence of α5β1 and these cells move in a random fashion with a speed of around 25 mm/h. By contrast, in cells using αvβ3 instead, adhesions distribute across the ventral surface, RhoA activity is low, and these cells move with similar speed but in a highly persistent fashion.^8,9 Finally, photobleaching experiments using GFP-vinculin and GFP-paxillin demonstrated that cell-matrix adhesions containing α5β1 are highly dynamic whereas adhesions containing αvβ3 are more static.⁹Open in a separate windowFigure 1Immunofluorescence images. GE11 cells, epithelial β1 knockout cells derived from mouse embryos chimeric for the integrin β1 subunit endogenously express various av integrins, including low levels of αvβ3 and αvβ5. Ectopic expression of β1 leads to expression of α5β1 and induced α5β1-mediated adhesion to Fn (left image) whereas ectopic expression of β3 (in the β1 null background) leads to strong expression of αvβ3 and induced αvβ3-mediated adhesion to Fn (right image). Adhesions containing either α5β1 or αvβ3 show distinct distribution and dynamics (paxillin; green) and cause different F-actin organization (phalloidin; red). Cartoons: Differences in cell-matrix adhesion dynamics may be explained by differential binding of soluble Fn molecules (blue) or different molecular determinants of the interaction with immobilized Fn (red). See text for details.It has been observed that α5β1 and αvβ3 use different recycling routes. Interfering with Rab4-mediated recycling of αvβ3 causes increased Rab11-mediated recycling of α5β1 to the cell surface. In agreement with our findings, the shift to α5β1 leads to increased Rho-ROCK activity and reduced persistence of migration.¹⁰ One possible explanation for the different types of migration promoted by these two Fn-binding integrins might involve different signaling and/or adaptor proteins interacting with specific amino acids in their cytoplasmic tails. However, this appears not to be the case: α5β1 in which the cytoplasmic tails of α5 or β1 are replaced by those of αv or β3, respectively, behaves identical to wild type α5β1: it promotes a fibroblast-like morphology with centripetal orientation of cell-matrix adhesions and it drives a non-persistent mode of migration.^8,11 Together, these findings point to differences between α5β1 and αvβ3 integrins in the mechanics of their interaction with Fn, which apparently modulates intracellular signaling pathways in control of cell-matrix adhesion dynamics and cell migration.How might this work? It turns out that although α5β1 and αvβ3 similarly support cell adhesion to immobilized (stretched) Fn, only α5β1 efficiently binds soluble, folded (“inactive”) Fn.¹¹ We have proposed that such interactions with soluble Fn molecules (possibly secreted by the cell itself) may weaken the interaction with the immobilized ligand thereby causing enhanced cell-matrix adhesion dynamics in the presence of α5β1,¹¹ (Fig. 1). Preferential binding of soluble Fn by α5β1 could be explained by differences in accessibility of the RGD binding pocket between α5β1 (more exposed) and αvβ3 (more hidden) as suggested by others.¹² If this is the case, immobilization (“stretching”) of Fn apparently leads to reorientation of the RGD motif in such a way that it is easily accessed by both integrins.The issue is considerably complicated by the fact that other recognition motifs are present in the Fn central cell-binding domain. In addition to the RGD sequence in the tenth Fn type 3 repeat (IIIFn10), binding of α5β1, but not αvβ3, also depends on the PHSRN “synergy” sequence in IIIFn9.^13–15 The relative contribution of these motifs is controversial and there is structural data pointing either towards a model in which IIIFn9 interacts with α5β1 or towards a model in which IIIFn9 exerts long-range electrostatic steering resulting in a higher affinity interaction without contacting the integrin.^16,17 Cell adhesion studies have suggested that an interaction of α5β1 with the synergy region stabilizes the binding to RGD.^14,18 Such a two-step interaction may facilitate binding to full length, folded Fn for instance by altering the tilt angle between IIIFn9 and IIIFn10 leading to optimal exposure of the RGD loop, perhaps explaining why αvβ3 (which may not interact with the synergy site) poorly binds soluble Fn.Others have shown that the RGD motif alone is sufficient for mechanical coupling of αvβ3 to Fn whereas the synergy region is required to provide mechanical strength to the α5β1-Fn bond.¹⁹ It appears that the interaction of α5β1 with Fn is particularly dynamic with various conformations of α5β1 interacting with different Fn binding surfaces, including the RGD and synergy sequences as well as other regions in IIIFn9. Thus, besides the above model based on differential binding to soluble Fn molecules, differences in the complexity and dynamics of interactions with immobilized Fn that determine functional binding strength could also underlie the different dynamics of cell-matrix adhesions containing either α5β1 or αvβ3 (Fig. 1).Precisely how mechanical differences in receptor-ligand interactions result in such remarkably distinct cellular responses is poorly understood. In addition to effects on cell-matrix adhesion dynamics and cytoskeletal organization it is also associated with different activities of Rho GTPases, indicating that mechanical differences between these two integrins must translate into differential activation of intracellular signaling pathways.^8,9,11 Possibly, different adhesion dynamics due to distinct mechanisms of receptor-ligand interaction result in different patterns of F-actin organization, which, in turn, affects the formation of signaling platforms. It is also possible that differences in the extent of integrin clustering have an impact on the conformation of one or more cytoplasmic components of the cell-matrix adhesions containing either α5β1 or αvβ3. This could lead to hiding or exposing binding sites for signaling molecules (e.g., upstream regulators of Rho GTPases) or substrates. Whatever the mechanism involved, altering the integrin composition of cell-matrix adhesions through shifts in integrin expression as observed during development, angiogenesis, wound healing and cancer progression may be a driving force in the enhanced cell migration that characterizes those processes.     

Terminology for plant polarity: Progress and difficulties

The recent attempts to establish a “natural” terminology for plant polarity^1–3 are significant as they have identified various problems in the classic terminology of polarity,⁴ and arrived at a logical and simple terminology (shootward and rootward).³ The related issue of polarity changes was also addressed while assuming that cell polarity is conserved throughout the development.²Key words: auxin, axiality, development, differentiation, epiphylly, plant architectureWhile the shootward and rootward terminology is very appealing and seems to describe “normal” plant development precisely, like in the model plant Arabidopsis thaliana, there are many instances in vascular plants that only partly fit the suggested terminology. I demonstrate it by describing three types of common rootward-shootward polarity changes in mature Angiosperm plants (out of a longer list), which are not solved by the new terminology.

1. Epiphylly of plantlets with roots formed on the margins of young leaves in Bryophyllum and other taxa.⁵ These roots result in a mixed polarity. For instance, the lower stem parts that had for a while only one rootward polarity acquire two contrasting directions of rootward polarity following the formation of many plantlet roots on leaf margins. Similarly, for the original roots, the young shoot was initially purely shootward but become at least partly of rootward polarity because of the formation of new plantlet roots on the leaves. Thus, in such plants a situation of rootward and shootward polarities originating from the same direction is found.
2. Aerial roots of many trees, e.g., of many Ficus species.⁵ These roots, which sometimes become larger than the original root system, must influence polarity to a large extent as discussed in the above example of much smaller roots.
3. Shoots emerging from roots of Populus, Rubus and many other taxa.⁵ Such shoots, formed at the rootward position relative to the root parts positioned closer to the original shoot, greatly alter the polarity status of the plants. They result in shootward and rootward polarities arriving from the same direction. Since many such shoots may develop along the root system, they result in an increasing complication of a mosaic of rootward and shootward polarities.

For all three above cases there is no data about where these opposite polarities meet, how they interact, and if there are physiological or developmental consequences to their signal cross-talk.I conclude that while the new shootward and rootward terminology³ is perfect in many cases throughout a plant''s life cycle and for practically all young vascular plants. However, this terminology needs some modifications or additions to fit other developmental situation found in many thousands of species that naturally or even artificially form ectopic roots or shoots. I therefore propose to distinguish between primary, secondary, tertiary and so on, ranks of shootward and rootward polarities.     

“Double hit” makes the difference

Comment on: Menendez JA, et al. Cell Cycle 2012; 11:2782–92.Metformin (N’, N’-dimethylbiguanide) is an anti-diabetic drug prescribed to more than 100 million patients in the world. In addition to its efficacy for the treatment of diabetes, several recent studies have shown that it has anti-tumoral properties.¹ We and others have shown that metformin targets cancer cell metabolism by inhibiting mitochondrial complex 1 activity.^2,3 This energetic stress leads to a decrease of intracellular ATP concentration, and cancer cells will increase their rate of glycolysis.² This compensatory response is not sufficient to restore ATP levels, but is adequate to maintain viable cells in most of the cancer cells. Indeed, metformin blocks cell growth but can also induce apoptosis in some cancer cell models.⁴ The increase of glycolysis induced by metformin is somehow inconsistent with the observed inhibition of proliferation, since cancer cells use preferentially glycolysis to grow faster. This switch to glycolysis, also known as the “Warburg effect,” is linked to oncogenic transformation⁵ and is accompanied by the hyperactivation of the mTOR pathway. In cancer cells, the increase of glycolysis induced by metformin is associated with a strong inhibition of the mTOR pathway via the AMPK. This new metabolic order established by metformin may explain the paradoxical effect of metformin. In view of the above scenario, Menendez et al. decided to test the synthetic lethality of metformin and combined metformin treatment with glucose starvation. They showed that the treatment of breast cancer cells with metformin alone does not induce apoptosis but arrests cells in G₀/G₁. Glucose starvation by itself induces few apoptosis, but the combination of metformin with the absence of glucose induces massive apoptosis. This is not altogether surprising, since the dual action of metformin and glucose starvation block the two main ways of production of ATP (i.e., mitochondrial respiration and glycolysis) (Fig. 1). This is an interesting observation, which could be valuable for future anticancer therapy; however, glucose starvation is not therapeutically feasible. Thus, the use 2-deoxyglucose (2-DG), an inhibitor of glycolysis, could be useful. We and others found that the combination of 2-DG and metformin inhibits prostate cancer cell proliferation and breast tumor growth in xenograft models.^2,6 Although it induces a slight apoptotic response in vitro, 2-DG alone is not efficient in vivo to alter tumor growth⁶ but improves the curative action of radiotherapy;⁷ similarly, it reinforces metformin action. Another interesting issue raised by Menendez et al. is the use of such dual therapy to target cancer stem cells. Metformin has been shown to selectively kill cancer stem cells and the chemotherapy-resistant subpopulation of cancer stem cells.^8,9 Cancer stem cells greatly depend on aerobic glycolysis to sustain their stemness and immortality. The synthetic lethality induced by metformin and glucose starvation may help to improve chemotherapy action and avoid cancer relapse. In conclusion, targeting cancer cell metabolism with a “dual hit therapy” opens new avenues for the future treatment of cancer.Open in a separate windowFigure 1. The combination of metformin and glucose starvation induces a strong energetic stress. Metformin inhibits the mitochondrial complex 1 and glucose starvation, or 2-DG inhibits ATP production from glycolysis. The combination of the two energetic stresses induces a massive energetic stress and leads to a strong apoptotic response.     

Plant Neurobiology as a Paradigm Shift Not Only in the Plant Sciences

Plants are complex living beings, extremely sensitive to environmental factors, continuously adapting to the ever changing environment. Emerging research document that plants sense, memorize, and process experiences and use this information for their adaptive behavior and evolution. As any other living and evolving systems, plants act as knowledge accumulating systems. Neuronal informational systems are behind this concept of organisms as knowledge accumulating systems because they allow the most rapid and efficient adaptive responses to changes in environment. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants. The journal, Plant Signaling & Behavior, was launched as a platform for exchanging information and fostering research on plant neurobiology in order to allow our understanding of plants in their whole integrated, communicative, and behavioral complexity.

I always go by official statistics because they are very carefully compounded and, even if they are false, we have no others …∼ Jaroslav Hašek, 1911

Key Words: plant neurobiology, sensory biology, behavior, biological complexity, evolution, signal integrationThis quotation of writer and mystificator Jaroslav Hašek is from his electorial speech aimed to get a seat in the Austro-Hungarian parliament for his imaginary political party ‘Moderate Progress within the Limits of the Law’ in 1911. It indicates how statistics can be misused for manipulation of public opinion, sometimes allegedly for general good. This quotation is partially relevant also for recent biology which is passing through a critical cross-road from reductionist-mechanistic concepts and methodologies towards the post-genomic, holistic, systems-based analysis of integrated and communicative hierarchic networks known as life processes.There is a message hidden in this Hašek''s aphorism. All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.¹Despite the indisputable success of the reductionistic approach in providing many discoveries regarding single cells and their components, it is increasingly clear that promises of ‘mechanistic’ genocentric biology were just chimeras and that living organisms are much more complex than the sum of their constituents. Ernst Mayr, in his final opus, almost a testament published at his age of 100, strongly opposed the belief that the reductionism at the molecular level could help to explain the complexity of life. He stressed that the concept of biological “emergence”, which deals with the occurrence of unexpected features in complex living systems, is not fully accessible using only physical and chemical approaches.²Themes of hierarchy, continuity, and order dominated biology before the turn of the century, but these have in many cases been replaced by images of the workshop. Examples include such terms as ‘machineries’, ‘mechanistic understanding’, ‘mechanistic explanation’, ‘motors’, ‘machines’, ‘clocks’ etc. This shift may well reflect the characteristic style of our age. These concepts, although useful for mining of details, do not reveal the true complexity of life and can be misleading. Even a one-celled organism is made up of ‘millions’ of subcellular parts. Concerning the great complexity of unicellular creatures Ilya Prigogine (1973) wrote: “… but let us have no illusions, our research would still leave us quite unable to grasp the extreme complexity of the simplest of organism.”³ Moreover, eukaryotic cell proved to be, in fact, ‘cells within cell’,^4–8 while there are numerous supracellular situations, the most dramatic one is represented by plants when all cells are interconnected via plasmodesmata into supracellular organism.⁶ All this collectively indicate that the currently valid ‘Cell Theory’ dogma is approaching its replacement with a new updated concept of a basic unit of eukaryotic life.^6–8All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.Furthermore, genomes are much more complex and dynamic as we ever anticipated.^9,10 They often have as much as 99% of non-coding DNA sequences,¹¹ which is not ‘junk DNA’ but rather DNA which is part of multitask networks integrating coding DNA.¹² In genomes exposed to stress (like mutations), changes are scored preferentially in non-coding sequences which regain a new balance by complex changes in genome composition and activity.^9,10,13,14 There are several definitions regarding what is gene¹¹ and molecular biologists and genetics are learning to be careful not to make strong conclusions from under-expression, knocking-out, or overexpression of any particular gene. It is increasingly clear that mutations in single genes are accompanied with altered expressions of other genes and non-coding DNA sequences too, and even subtle re-arrangements of chromatin structure and genome architecture are possible. The dynamic genome actively regains the lost balance, also via extensive re-shufflings of non-coding DNA.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of the genomics era some 60 years ago. Yet, it is also obvious that living systems, whether single cells or whole complex organisms like animals and plants, are not machines and automata which respond to external signals via a limited set of predefined responses and automatic reflexes. While humans and other animals, even insects, are already out of this ‘mechanistic’ trap^15,16 which can be traced back to Descartes,¹⁷ plants are still considered to act only in predetermined automatic fashions, as mechanical devices devoid of any possibility for choice and planning of their activities. In contrast to machines, life systems are based on wet chemistry, being systems of hierarchical and dynamic integration, communication and emergence.^1,18Recently, a critical mass of data has accumulated demanding reconsideration of this mechanistic view of plants.^19,20 Plants are complex living beings, extremely sensitive to environmental factors and continuously adapting to the ever changing environment.²¹ In addition, plants respond to environmental stimuli as integrated organisms. Often, plants make important decisions, such as onset or breakage of dormancy and onset of flowering, which implicate some central or decentralized command center. Moreover, roots and shoots act in an integrated manner allowing dynamic balance of above-ground and below-ground organs. The journal, Plant Signaling & Behavior, was launched as a platform for exchange of information about the integration of discrete processes, including subcellular signalling integrated with higher-level processes. Signal integration and communication results in adaptive behavior of whole supracellular organisms, encompassing also complex, and still elusive, plant-plant, plant-insect, and plant-animal communications. Coordinated behavior based on sensory perception is inherent for neurobiological systems.²² Therefore, plants can be considered for neuronal individuals. Moreover, plants are also able to share knowledge perceived from environment with other plants, communicating both private and public messages.^23,24 This implicates social learning and behavioral inheritance in plants too.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of genomics era some 60 years ago.

Behavior

1. An activity of a defined organism: observable activity when measurable in terms of quantitative effects of the environment whether arising from internal or external stimuli.
2. Anything that an organism does that involves action and response to stimulation.

(Webster Third New International Dictionary 1961).Neuronal informational systems allow the most rapid and efficient adaptive responses. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants.Some of our colleagues assert that plants do not exhibit any integrated neuronal principles.²⁵ They maintain that plants do not show complex experience- or learning-based behavior. Plants, they aver, act rather as machines manifesting predefined reflexes. Yet recent studies indicate that even prokaryotic bacteria exhibit cognitive behavior^26,27 and posses linguistic communication and rudimentary intelligence.^28–30 Therefore, it should not be too surprising that plants also show features of communication and even plant-specific cognition.^{19,20,31,32–35} As any other living systems, plants act as ‘knowledge accumulating systems’.¹ In fact, in order to adapt, all organisms continuously generate hypotheses about their environment via well formulated ‘questions’ which are solved by an increasing set of possible ‘answers’ in order to adapt.¹ Neuronal informational systems are behind this concept of organisms as ‘knowledge accumulating systems’ because they allow the most rapid and efficient adaptive responses.²² As a consequence, neuronal computation is not limited to animal brains but is used also by bacteria and plants.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior. We trust that Plant Signaling & Behavior, will become an important platform for exchange of these ideas. With progress of sciences, plants show more and more similarities to animals despite obviously plant-specific evolutionary origins, cellular basis, and multicellularity. We can just mention sexuality and sex organs, embryos, stem cells, immunity, circadian rhythms, hormonal and peptide signaling, sensory perception and bioelectricity including action potentials, communication and neurobiological aspects of signal integration. The whole picture strongly suggest that convergent evolution is much more important^36,37 than currently envisioned in evolutionary theories.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior.We have started with Jaroslav Hašek and we close with him as well. His quotation from 1911 is also a warning for future that we should stay open-minded. We should not slip into dogmatic ‘traps’ which have been so characteristic for the mechanistic and genocentric biology. Mathematics and computational biology are important tools, and surely will play decisive role in systems biology in the future. But they can be easily misinterpreted, and even misused. Plant systems biology, and the whole biology in general, must overcome dogmas of mechanistic genocentric biology. We hope that characterizing plants in their whole behavioral and communicative complexity will allow us to better understand what is life and how it emerged from chemical and biochemical complex systems.     

PrP assemblies: Spotting the responsible regions in prion propagation

The “protein only” hypothesis states that the key phenomenon in prion pathogenesis is the conversion of the host protein (PrP^C) into a β-sheet enriched polymeric and pathogenic conformer (PrP^Sc). However the region of PrP bearing the information for structural transfer is still controversial. In a recent report, we highlighted the role of the C terminal part i.e., the helixes H2 and H3, using mutation approaches on recombinant PrP. The H2H3 was shown to be the minimal region necessary to reproduce the oligomerization pattern of the full-length protein. The oligomers produced from isolated H2H3 domain presented the same structural characteristics as the oligomers formed from the full-length PrP. Combining other groups'' results, this paper further discusses the relative, direct or indirect role of different PrP regions in assembly. The H2H3 region represents the core of PrP oligomers and fibrils, whereas the N terminus could explain divergences among different aggregates. Finally this review evocates the possibility to separate the domain involved in prion information transference (i.e., prion replication) from the domain bearing the cytotoxicity properties.Key words: prion, H2H3, amyloid, domain of replication, unfolding, strain, polymer, fibersTransmissible spongiform encephalopathies (TSE), fatal neurodegenerative diseases affecting humans and other mammalians, induce in most cases loss of motor control and dementia. PrP is a protein physiologically present in parts of the animal kingdom (in mammals, birds, reptiles and fishes). According to the “protein-only” hypothesis,^1,2 the key phenomenon in the pathogenesis is the conversion of the α-helix rich host-encoded PrP form (PrP^C) into a pathogenic conformer (PrP^Sc) characterized by a higher content in β-sheet and a polymeric state. The conversion to an enriched β-sheet structure is supposed to be due to the modification—induced only by a PrP^Sc-like state acting as a template- of PrP^C into the PrP^Sc conformer. This hypothesis was first proposed by Griffith in 1967³ and revisited by Lansbury et al. in 1993.⁴ The prion hypothesis has now found increasing support from experimental evidence based on the synthetic production of β-sheeted recombinant PrP which shows pathogenic properties in a wide variety of physico-chemical conditions.^5–7 However, the molecular basis of prion conversion remains unclear, especially the various structural landscape of the PrP^Sc, which is the basis of the strain phenomenon.⁸To understand the mechanisms of transfer of the structural information, two mains issues have to be addressed: (1) we need to understand which region(s) of the protein act as template for conversion and (2) what is the “pathogenic” state of this domain. In this review, we shall assume that the region bearing the infectious information for replication and the region responsible for polymerization are identical. However, the link between the propensity of a domain to form aggregates and the ability to contain the necessary information for prion replication is far from being trivial. Generally the formation of amyloid assemblies results from the aggregation of disordered peptides or in some cases from disordered regions of a folded protein.⁸ If we consider that prion replication is only supported by the globular part of PrP⁹ the currently available model involves the folded domain. Since all structural transitions need at least a partial unfolding and refolding process, pre-required structural events should be considered prior to the conversion process.     

Rapid stomatal closure triggered by a short ozone pulse is followed by reopening to overshooting values

Stomatal pores, surrounded by the pairs of guard cells, regulate plant gas exchange. Correct stomatal regulation is crucial for plant survival under various stress conditions. We have recently utilized the air pollutant ozone (O₃) to study stomatal signaling and showed that application of O₃ induces rapid decrease in stomatal conductance. Here we have addressed the recovery of stomatal conductance and show that after exposures of plants to high O₃ pulses stomatal conductance recovered faster, reaching higher, “overshooting” values than were the pre-exposure values. We propose the hypothetical mechanism for this phenomenon and discuss it in the frames of current stomatal signaling models.Key words: ozone, stomata, signaling, Arabidopsis, overshooting, guard cells, stressRapid progress in understanding structural and molecular mechanisms of the core abscisic acid (ABA) signaling pathway and subsequent stomatal closure (reviewed in ref. ¹) has been achieved by using a variety of mostly in vitro technologies and approaches. Data on early induction of stomatal response by a brief ABA pulse in vivo is almost absent, largely due to difficulties in rapid removal of ABA from intact guard cells. Application of O₃, an air pollutant efficiently utilized to study stomatal signaling,^2–4 lacks this disadvantage and allows monitoring stomatal responses to brief, clean-cut, strictly dosed pulses of this powerful oxidant in planta. Application of O₃ for 1 min to intact Arabidopsis rosette triggered a Rapid Transient Decrease (RTD) in stomatal conductance which, after lasting for 8–10 min, was followed by a 3–4 times slower recovery.³ The entire RTD, lasting for up to 40–50 min, is a conserved response in plants; to date it is found to be present in about 90 Arabidopsis ecotypes/mutants³ and also in tobacco and birch (unpublished results). Absence of RTD in protein phosphatase ABI1 and ABI2 mutants (abi1-1 and abi2-1) which are unable to form complex with PYR/PYL ABA receptors, in protein kinase OST1 and in guard cell plasma membrane anion channel SLAC1 mutants, indicates that O₃-triggered signal propagates through the same phosphatase/kinase pair as does the signal triggered by ABA.³ Results of mostly proteomic, pharmacological and electrophysiological studies allow to suggest that the most likely reason for the rapid stomatal closure during RTD is the ABI1, ABI2 and OST1 mediated alterations in a battery of plasma membrane ion channels, including the outward-rectifying anion channel SLAC1 and the depolarization-activated K⁺ channel GORK1 which after their sequential activation result in efflux of osmotica, turgor loss and stomatal closure.Physiological background of the recovery during RTD which takes place also under continuous exposure to ozone² is less understood. To study this process further we exposed whole rosettes of intact 22–25 day old Arabidopsis plants to different O₃ concentrations for 3 min as described earlier³ and observed that after exposures to high concentration O₃ pulses stomatal conductance recovered faster and reached higher values than were the preexposure values. We term this phenomenon “overshooting”.Ozone concentration of 70 nl l⁻¹ did not induce RTD (Fig. 1A). At higher concentrations O₃ induced intense decrease in stomatal conductance within 4–6 min after application. This was followed by rapid stoppage of the closure, a brief transition period and a sluggish, almost linear recovery where the pre-exposure value of stomatal conductance was reached about 30 min after the onset of O₃ (Fig. 1A). The rates and extents of the O₃-induced stomatal closure, as well as rates of reopening were concentration dependent. Continuation of the linear increase in stomatal conductance after reaching the pre-exposure value resulted in almost two-fold higher values at 50 min after the onset of 385 nl l⁻¹ of O₃. Overshootings were dependent on ozone concentration (Fig. 1B) and on the extent of the initial decrease in stomatal conductance (Fig. 1C). Both dependencies were exponential indicating a presence of threshold at 150–200 nl l⁻¹ of O₃ and at 20% of initial O₃-induced decrease in stomatal conductance, respectively.Open in a separate windowFigure 1Ozone-triggered rapid decrease in stomatal conductance is followed by recovery to higher “overshooting” values. (A) Typical asymmetric time patterns of stomatal conductance after exposure of 22–25 day old Arabidopsis plant leaf rosettes to different concentrations of ozone as described in Kollist et al.² In (B and C) O₃-induced “overshooting” is plotted against O₃ concentration and O₃-induced decrease in stomatal conductance, respectively.What could be the reason and mechanistic explanation for described O₃-induced “overshooting” in stomatal conductance? The protein kinase OST1 is required for induction of rapid closure phase of the O₃-triggered RTD.³ Besides phosphorylating SLAC1,^3,5 OST1 has been shown to phosphorylate also the inward-rectifying K⁺ channel KAT1 resulting in its inhibition.⁶ Inhibition of K⁺ uptake, which allows faster membrane depolarization and stomatal closure, has been shown to occur under various stresses.⁷ Presumably, H⁺-ATPase activity and proton pumping, tightly coupled to K⁺ uptake via channel energization⁸ are also suppressed by O₃. It has been shown that in depolarized guard cell, plasma membrane proton pumping may precede volume and turgor increase.⁹ We speculate that in the O₃-triggered, SLAC1- and GORK-mediated stomatal closure, when ion efflux and turgor loss proceed at high rates, reactivation of H⁺-ATPase and proton pumping and associated recovery of K⁺ uptake are induced to avoid guard cell plasmolysis.¹⁰ Guard cells begin to regain turgor and stomata reopen. At the same time outward-rectifying ion channels are transiently locked (inactivated) as stomata become completely insensitive to repeated O₃-pulses during recovery phase.³ This interpretation is supported by our observation that the recovery in stomatal opening is heavily suppressed in kincless mutant³ where the inward rectifying K⁺ current is abolished.¹¹ In addition, peak densities of inward K⁺ currents (2–4 µA/cm² membrane⁹) are shown to be much lower than those for outward anion and K⁺ currents (17–20 µA/cm).^2,8,12,13 This could be a reason why stomatal reopening is much slower than the initial O₃-induced closure. Our findings (Fig. 1) suggest that the faster and deeper the O₃-triggered turgor loss, the faster and extensive is its recovery. The “overshootings” suggest plasma membrane hyperpolarization and predict a viable oscillation-like stomatal behavior where the system tends to restore the initial equilibrium. Longer experiments are needed to address whether such an oscillating response exists in Arabidopsis elicited by O₃.Taken together, our data suggest the presence of a “security” mechanism in plant guard cells which avoids the excessive dehydration and precipitous turgor loss by reswitching the reaccumulation of osmotica ultimately leading to stomatal opening. Molecular mechanism(s) linking feedback from low turgor to activation of plasma membrane proton pumping and subsequent ion uptake are obscure. Irrespective of mechanism(s), our data indicate that stomata tend to recover from stress the faster the stronger has been the perturbation at its onset. Undoubtedly, rapid O₃-induced transient decrease in stomatal conductance is one of countless expressions of the Le Chatelier''s principle having numerous wordings like: “any change in status quo prompts an opposing reaction in the responding system,” or paraphrased on the basis of our results—the stronger the stimulus (O₃ concentration) the stronger the response (“overshooting”).     

HdmX overexpression inhibits oncogene induced cellular senescence

Cellular senescence is an irreversible state of terminal growth arrest that requires functional p53. Acting to block tumor formation, induction of senescence has also been demonstrated to contribute to tumor clearance via the immune system following p53 reactivation.^1,2 the Hdm2-antagonist, Nutlin-3a, has been shown to reactivate p53 and induce a quiescent state in various cancer cell lines,^3,4 similar to the G₁ arrest observed upon RNAi targeting of Hdm2 in MCF7 breast cancer.⁵ In the present study we show that HdmX, a negative regulator of p53, impacts the senescence pathway. Specifically, overexpression of HdmX blocks Ras mediated senescence in primary human fibroblasts. the interaction of HdmX with p53 and the re-localization of HdmX to the nucleus through Hdm2 association appear to be required for this activity. Furthermore, inhibiting HdmX in prostate adenocarcinoma cells expressing wild-type p53, mutant Ras and high levels of HdmX-induced cellular senescence as measured by an increase in irreversible β-galactosidase staining. Together these results suggest that HdmX overexpression may contribute to tumor formation by blocking senescence and that targeting HdmX may represent an attractive anti-cancer therapeutic approach.Key words: HdmX, p53, Ras, senescence, LNCaP