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1.
2.
Kathrin S. Grassme Acely Garza-Garcia Jean-Paul Delgado James W. Godwin Anoop Kumar Phillip B. Gates Paul C. Driscoll Jeremy P. Brockes 《PloS one》2016,11(4)
Anterior gradient (AG) proteins have a thioredoxin fold and are targeted to the secretory pathway where they may act in the ER, as well as after secretion into the extracellular space. A newt member of the family (nAG) was previously identified as interacting with the GPI-anchored salamander-specific three-finger protein called Prod1. Expression of nAG has been implicated in the nerve dependence of limb regeneration in salamanders, and nAG acted as a growth factor for cultured newt limb blastemal (progenitor) cells, but the mechanism of action was not understood. Here we show that addition of a peptide antibody to Prod1 specifically inhibit the proliferation of blastema cells, suggesting that Prod1 acts as a cell surface receptor for secreted nAG, leading to S phase entry. Mutation of the single cysteine residue in the canonical active site of nAG to alanine or serine leads to protein degradation, but addition of residues at the C terminus stabilises the secreted protein. The mutation of the cysteine residue led to no detectable activity on S phase entry in cultured newt limb blastemal cells. In addition, our phylogenetic analyses have identified a new Caudata AG protein called AG4. A comparison of the AG proteins in a cell culture assay indicates that nAG secretion is significantly higher than AGR2 or AG4, suggesting that this property may vary in different members of the family. 相似文献
3.
Christos E. Zois Anne M. Hendriks Syed Haider Elisabete Pires Esther Bridges Dimitra Kalamida Dimitrios Voukantsis B. Christoffer Lagerholm Rudolf S. N. Fehrmann Wilfred F. A. den Dunnen Andrei I. Tarasov Otto Baba John Morris Francesca M. Buffa James S. O. McCullagh Mathilde Jalving Adrian L. Harris 《Cell death & disease》2022,13(6)
Channelling of glucose via glycogen, known as the glycogen shunt, may play an important role in the metabolism of brain tumours, especially in hypoxic conditions. We aimed to dissect the role of glycogen degradation in glioblastoma (GBM) response to ionising radiation (IR). Knockdown of the glycogen phosphorylase liver isoform (PYGL), but not the brain isoform (PYGB), decreased clonogenic growth and survival of GBM cell lines and sensitised them to IR doses of 10–12 Gy. Two to five days after IR exposure of PYGL knockdown GBM cells, mitotic catastrophy and a giant multinucleated cell morphology with senescence-like phenotype developed. The basal levels of the lysosomal enzyme alpha-acid glucosidase (GAA), essential for autolysosomal glycogen degradation, and the lipidated forms of gamma-aminobutyric acid receptor-associated protein-like (GABARAPL1 and GABARAPL2) increased in shPYGL U87MG cells, suggesting a compensatory mechanism of glycogen degradation. In response to IR, dysregulation of autophagy was shown by accumulation of the p62 and the lipidated form of GABARAPL1 and GABARAPL2 in shPYGL U87MG cells. IR increased the mitochondrial mass and the colocalisation of mitochondria with lysosomes in shPYGL cells, thereby indicating reduced mitophagy. These changes coincided with increased phosphorylation of AMP-activated protein kinase and acetyl-CoA carboxylase 2, slower ATP generation in response to glucose loading and progressive loss of oxidative phosphorylation. The resulting metabolic deficiencies affected the availability of ATP required for mitosis, resulting in the mitotic catastrophy observed in shPYGL cells following IR. PYGL mRNA and protein levels were higher in human GBM than in normal human brain tissues and high PYGL mRNA expression in GBM correlated with poor patient survival. In conclusion, we show a major new role for glycogen metabolism in GBM cancer. Inhibition of glycogen degradation sensitises GBM cells to high-dose IR indicating that PYGL is a potential novel target for the treatment of GBMs.Subject terms: Cancer metabolism, CNS cancer 相似文献
4.
Michael Marina Kathrin Ulrich Alexander Martin Christoph 《Journal of electromyography and kinesiology》2009,19(5):e353-e361
The aim of this study was to investigate the cervicocephalic kinaesthesia of healthy subjects for gender and age effects and its reliability in a new virtual reality test procedure. 57 healthy subjects (30 male, 27 females; 18-64 years) were immersed into a virtual 3D scene via a headmounted display, which generated specific head movements. The joint repositioning error was determined in a static and dynamic test at the times T0, T1 (T0 + 10 minutes) and T2 (T0 + 24 hours). The intrasession reliability (T0-T1) and the intersession reliability (T0-T2) were analysed. In both tests no gender- or age-specific effects were found. In the overall group the means of the static test were 6.2°-6.9° and of the dynamic test were 4.5°-4.9°. The intratest difference in the static test was -0.16° and the intertest difference was 0.47°. The intratest difference in the dynamic test was 0.42° and the intertest difference was 0.37°. The static and dynamic test was reproducible in healthy subjects, with minor deviations, irrespective of gender and age. The smaller interindividual differences in the dynamic test could be beneficial in the comparison of healthy individuals and individuals with cervical spine disorders. 相似文献
5.
Background and aims
The feather moss Pleurozium schreberi (Brid.) Mitt. is colonized by cyanobacteria, which fix substantial amounts of atmospheric nitrogen (N) in pristine and N-poor ecosystems. Cyanobacterial N2 fixation is inhibited by N deposition. However, the threshold of N input that leads to the inhibition of N2 fixation has not been adequately investigated. Further, the ability of N2 fixation to recover in mosses from high N deposition areas has not been studied to date.Methods
We conducted two laboratory studies in which we (1) applied a range of concentrations of N as NH4NO3 to mosses from low N-deposition areas, and (2) we deprived mosses from a high N-deposition area of N to test their ability to recover N2 fixation.Results
Higher addition rates (up to 10 kg N ha?1) did not systematically inhibit N2 fixation in P. schreberi. Conversely, upon weeks of N deprivation of mosses from a high N environment, N2 fixation rates increased.Conclusions
The threshold of total N deposition above which N2 fixation in P. schreberi is inhibited is likely to be > 10 kg N ha?1. Further, cyanobacteria are able to recover from high N inputs and are able to fix atmospheric N2 after a period of N deprivation. 相似文献6.
Stephanie Holst Kathrin Stavenhagen Crina I. A. Balog Carolien A. M. Koeleman Liam M. McDonnell Oleg A. Mayboroda Aswin Verhoeven Wilma E. Mesker Rob A. E. M. Tollenaar André M. Deelder Manfred Wuhrer 《Molecular & cellular proteomics : MCP》2013,12(11):3081-3093
Cancer is a leading cause of death and alterations of glycosylation are characteristic features of malignant cells. Colorectal cancer is one of the most common cancers and its exact causes and biology are not yet well understood. Here, we compared glycosylation profiles of colorectal tumor tissues and corresponding control tissues of 13 colorectal cancer patients to contribute to the understanding of this cancer. Using MALDI-TOF(/TOF)-MS and 2-dimensional LC-MS/MS we characterized enzymatically released and 2-aminobenzoic acid labeled glycans from glycosphingolipids. Multivariate data analysis revealed significant differences between tumor and corresponding control tissues. Main discriminators were obtained, which represent the overall alteration in glycosylation of glycosphingolipids during colorectal cancer progression, and these were found to be characterized by (1) increased fucosylation, (2) decreased acetylation, (3) decreased sulfation, (4) reduced expression of globo-type glycans, as well as (5) disialyl gangliosides. The findings of our current research confirm former reports, and in addition expand the knowledge of glycosphingolipid glycosylation in colorectal cancer by revealing new glycans with discriminative power and characteristic, cancer-associated glycosylation alterations. The obtained discriminating glycans can contribute to progress the discovery of biomarkers to improve diagnostics and patient treatment.Worldwide, cancer is a leading cause of death. With estimated 1.2 million diagnoses in 2008, colorectal cancer is the third most common cancer in the world and the fourth most common cause of death with an annual mortality of ∼600 000 (1). The exact causes of colorectal cancer are unknown, but different risk factors such as age, polyps, personal and family history, ulcerative colitis, or Crohn''s colitis have been proposed (2). Standard screening procedures include flexible sigmoidoscopy, colonoscopy, and immunological fecal occult blood testing. Each of them has its advantages and drawbacks such as invasiveness or low sensitivity and specificity (3). The method of choice for the treatment of colorectal cancer is surgery and therapeutic decisions are based on the tumor, lymph node, and metastasis staging-system as a prognostic factor (4). Current research has led to improved treatment strategies of colorectal cancer, however, the clinical outcome, the progression of the disease, and the response to the treatment remain variable among individuals. The heterogeneity of colorectal cancer at the molecular level—caused by accumulation of multiple genetic changes—may be one of the main reasons for this variability (5). Genetic factors such as instabilities, but also expression levels (6) can explain part of the cancer biology, but glycomics is gaining importance to complement the overall picture as aberrant glycosylation of proteins and lipids has been shown to be correlated with disease and malignancy (7, 8).Glycosylation is involved in many biological processes and especially its functional role in cellular interaction with respect to adhesion, cell growth, and signaling is prone to be affected in cancer progression, invasion, and metastasis (9). Several cancer-associated alterations in protein glycosylation have been reported: (1) increased branching of N-glycans, (2) higher density of O-glycans, and (3) incomplete synthesis of glycans. More particularly, an increased or induced expression of GlcNAc transferase V resulting in N-glycan structures with β1–6GlcNAc antennae (5, 10), and the expression of (sialyl) Tn-antigens (11) as aberrant O-glycosylation have been reported (10).Altered glycosphingolipid (GSL)1 glycosylation of the cell surface membrane during malignancy can affect cell recognition, adhesion, and signal transduction (12) and is found to reflect: (1) incomplete synthesis with or without precursor accumulation, (2) neosynthesis (9), (3) increased sialylation, and (4) increased fucosylation (13). In many cancers, including colorectal cancer, an overexpression of the (sialyl) Lewis X antigen (10, 14) and the expression of (sialyl) Lewis A (15) are considered to be related to malignant transformation—reflecting incomplete synthesis of sialyl 6-sulfo Lewis X and disialyl Lewis A (16) as well as neosynthesis (17). Studies on gangliosides showed an overexpression of these sialylated GSLs in human malignant melanoma (18). Furthermore, the involvement of gangliosides in cell adhesion and motility was reported, which contributes to tumor metastasis (19). Specifically, the gangliosides GD3 (Hex2NeuAc2ceramide) and GM2 (Hex2HexNAc1NeuAc1ceramide) have been found to be associated with tumor-angiogenesis (19). The up-regulation of fucosyltransferases in cancer was shown to cause a higher degree of fucosylation in malignant tissues (20) and Moriwaki et al. proposed that the increase in the fucosylation for GSLs was an early event in cancer (21). Misonou et al. investigated glycans derived from GSLs in colorectal cancer tissues showing aberrant glycan structures based on linkage differences as well as increased sialylation and fucosylation compared with control tissue (22), which is in line with observed changes in GSL glycosylation with regard to cancer progression (9, 13).Recently, we investigated the N-glycosylation profiles of colorectal tumors and correlating control tissues for biomarker discovery. Statistical analyses revealed an increase of sulfated glycan structures as well as paucimannosidic glycans and glycans containing sialylated Lewis type epitopes in the tumor tissue, whereas structures with bisecting GlcNAc were found to be decreased in malignancy (23). To further progress the understanding of colorectal cancer biology and the improvement of diagnostic tools and patient treatment, we complemented this recent study on N-glycosylation by an investigation of the glycosphingolipid-derived glycans (named GSL-glycans in the following) from frozen tumor tissues and corresponding control tissues from the same 13 colorectal cancer patients. GSL-glycans were enzymatically released, labeled with 2-aminobenzoic acid (AA) and analyzed by hydrophilic interaction liquid chromatography (HILIC) with fluorescence detection as well as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Employing multivariate statistical analysis, this approach revealed an intricate GSL-glycosylation pattern of tumor tissues and specific glycosylation differences in comparison to the corresponding control tissue. 相似文献
7.
8.
Guo W Schafer S Greaser ML Radke MH Liss M Govindarajan T Maatz H Schulz H Li S Parrish AM Dauksaite V Vakeel P Klaassen S Gerull B Thierfelder L Regitz-Zagrosek V Hacker TA Saupe KW Dec GW Ellinor PT MacRae CA Spallek B Fischer R Perrot A Özcelik C Saar K Hubner N Gotthardt M 《Nature medicine》2012,18(5):766-773
9.
Background
Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic and rhetoric categories (e.g., Background, Methods, Results, Conclusions) have been devised, with recent state-of-the-art results reported for a complex deep learning model. Recent evidence showed that shallow and wide neural models such as fastText can provide results that are competitive or superior to complex deep learning models while requiring drastically lower training times and having better scalability. We analyze the efficacy of the fastText model in the classification of biomedical sentences in the PubMed 200k RCT benchmark, and introduce a simple pre-processing step that enables the application of fastText on sentence sequences. Furthermore, we explore the utility of two unsupervised pre-training approaches in scenarios where labeled training data are limited.Results
Our fastText-based methodology yields a state-of-the-art F1 score of.917 on the PubMed 200k benchmark when sentence ordering is taken into account, with a training time of only 73 s on standard hardware. Applying fastText on single sentences, without taking sentence ordering into account, yielded an F1 score of.852 (training time 13 s). Unsupervised pre-training of N-gram vectors greatly improved the results for small training set sizes, with an increase of F1 score of.21 to.74 when trained on only 1000 randomly picked sentences without taking sentence ordering into account.Conclusions
Because of it’s ease of use and performance, fastText should be among the first choices of tools when tackling biomedical text classification problems with large corpora. Unsupervised pre-training of N-gram vectors on domain-specific corpora also makes it possible to apply fastText when labeled training data are limited.10.