A phase I/II trial of hydroxychloroquine in conjunction with radiation therapy and concurrent and adjuvant temozolomide in patients with newly diagnosed glioblastoma multiforme

Preclinical studies indicate autophagy inhibition with hydroxychloroquine (HCQ) can augment the efficacy of DNA-damaging therapy. The primary objective of this trial was to determine the maximum tolerated dose (MTD) and efficacy of HCQ in combination with radiation therapy (RT) and temozolomide (TMZ) for newly diagnosed glioblastoma (GB). A 3 + 3 phase I trial design followed by a noncomparative phase II study was conducted in GB patients after initial resection. Patients received HCQ (200 to 800 mg oral daily) with RT and concurrent and adjuvant TMZ. Quantitative electron microscopy and immunoblotting were used to assess changes in autophagic vacuoles (AVs) in peripheral blood mononuclear cells (PBMC). Population pharmacokinetic (PK) modeling enabled PK-pharmacodynamic correlations. Sixteen phase I subjects were evaluable for dose-limiting toxicities. At 800 mg HCQ/d, 3/3 subjects experienced Grade 3 and 4 neutropenia and thrombocytopenia, 1 with sepsis. HCQ 600 mg/d was found to be the MTD in this combination. The phase II cohort (n = 76) had a median survival of 15.6 mos with survival rates at 12, 18, and 24 mo of 70%, 36%, and 25%. PK analysis indicated dose-proportional exposure for HCQ. Significant therapy-associated increases in AV and LC3-II were observed in PBMC and correlated with higher HCQ exposure. These data establish that autophagy inhibition is achievable with HCQ, but dose-limiting toxicity prevented escalation to higher doses of HCQ. At HCQ 600 mg/d, autophagy inhibition was not consistently achieved in patients treated with this regimen, and no significant improvement in overall survival was observed. Therefore, a definitive test of the role of autophagy inhibition in the adjuvant setting for glioma patients awaits the development of lower-toxicity compounds that can achieve more consistent inhibition of autophagy than HCQ.     

Impacts of nitrogen addition on plant biodiversity in mountain grasslands depend on dose,application duration and climate: a systematic review

Although the influence of nitrogen (N) addition on grassland plant communities has been widely studied, it is still unclear whether observed patterns and underlying mechanisms are constant across biomes. In this systematic review, we use meta‐analysis and metaregression to investigate the influence of N addition (here referring mostly to fertilization) upon the biodiversity of temperate mountain grasslands (including montane, subalpine and alpine zones). Forty‐two studies met our criteria of inclusion, resulting in 134 measures of effect size. The main general responses of mountain grasslands to N addition were increases in phytomass and reductions in plant species richness, as observed in lowland grasslands. More specifically, the analysis reveals that negative effects on species richness were exacerbated by dose (ha^?1 year^?1) and duration of N application (years) in an additive manner. Thus, sustained application of low to moderate levels of N over time had effects similar to short‐term application of high N doses. The climatic context also played an important role: the overall effects of N addition on plant species richness and diversity (Shannon index) were less pronounced in mountain grasslands experiencing cool rather than warm summers. Furthermore, the relative negative effect of N addition on species richness was more pronounced in managed communities and was strongly negatively related to N‐induced increases in phytomass, that is the greater the phytomass response to N addition, the greater the decline in richness. Altogether, this review not only establishes that plant biodiversity of mountain grasslands is negatively affected by N addition, but also demonstrates that several local management and abiotic factors interact with N addition to drive plant community changes. This synthesis yields essential information for a more sustainable management of mountain grasslands, emphasizing the importance of preserving and restoring grasslands with both low agricultural N application and limited exposure to N atmospheric deposition.     

Expression of Distinct Self-Incompatibility Specificities in Arabidopsis thaliana

The interplay of balancing selection within a species and rapid gene evolution between species can confound our ability to determine the functional equivalence of interspecific and intergeneric pairs of alleles underlying reproduction. In crucifer plants, mating specificity in the barrier to self-fertilization called self-incompatibility (SI) is controlled by allele-specific interactions between two highly polymorphic and co-evolving proteins, the S-locus receptor kinase (SRK) and its S-locus cysteine rich (SCR) ligand. These proteins have diversified both within and between species such that it is often difficult to determine from sequence information alone if they encode the same or different SI specificity. The self-fertile Arabidopsis thaliana was derived from an obligate outbreeding ancestor by loss of self-incompatibility, often in conjunction with inactivation of SRK or SCR. Nevertheless, some accessions of A. thaliana can express self-incompatibility upon transformation with an SRK–SCR gene pair isolated from its self-incompatible close relative A. lyrata. Here we show that several additional and highly diverged SRK/SCR genes from A. lyrata and another crucifer plant, Capsella grandiflora, confer self-incompatibility in A. thaliana, either as intact genes isolated from genomic libraries or after manipulation to generate chimeric fusions. We describe how the use of this newly developed chimeric protein strategy has allowed us to test the functional equivalence of SRK/SCR gene pairs from different taxa and to assay the functionality of endogenous A. thaliana SRK and SCR sequences.MATING reactions in plants, fungi, and animals are strongly influenced by molecular recognition machineries that act as gauges of genetic relatedness (Brown and Casselton 2001; Nasrallah 2005; Yamazaki and Beauchamp 2007). Many plants with hermaphroditic flowers have evolved inbreeding avoidance mechanisms, known as self-incompatibility (SI) systems. These systems are based on the ability of the female reproductive apparatus (the pistil) to discriminate among genetically distinct pollen grains, resulting in the failure of self-pollination despite functional female and male reproductive structures. In the Brassicaceae (crucifers), specific recognition of pollen by the epidermal cells of the stigma (a structure located at the tip of the pistil) is controlled by haplotypes of the S locus, and activation of the SI response leading to inhibition of pollen tube growth occurs if pollen and stigma are derived from plants that express the same S-locus haplotype (S haplotype). Within self-incompatible crucifer species, the number of S haplotypes and corresponding SI specificities is usually high, with >50 reported in some species (Watanabe et al. 2000), and SI dictates that self-incompatible plants are typically heterozygous and carry two S haplotypes. Each S haplotype is composed of two highly polymorphic genes that are the determinants of SI specificity in stigma and pollen (Stein et al. 1991; Schopfer et al. 1999). The S-locus receptor kinase (SRK) gene encodes a single-pass transmembrane serine/threonine kinase localized on the surface of stigma epidermal cells, and the S-locus cysteine-rich protein (SCR) gene encodes a small peptide localized in the pollen coat. SCR is the ligand for SRK and will bind to the extracellular domain of SRK (hereafter eSRK) only if both proteins are encoded by the same S-locus haplotype (Kachroo et al. 2001; Takayama et al. 2001; Chookajorn et al. 2004). The binding of SCR to its cognate eSRK triggers an intracellular phosphorylation cascade that results in pollen rejection by a poorly understood mechanism.A mechanistic understanding of the recognition phase of SI requires detailed structure–function analyses of SRK and SCR aimed at identifying the amino acid residues that determine their allele-specific interaction and explaining the puzzling dominance/recessive interactions exhibited by different SRK alleles in the heterozygous stigmas of self-incompatible plants (Hatakeyama et al. 2001; Mable et al. 2003; Prigoda et al. 2005). Such structure–function studies require an experimental system that allows efficient in vivo functional analysis of large numbers of SRK and SCR sequence variants generated in vitro by site-directed mutagenesis or domain swapping between proteins that determine different SI specificities. The recent transfer of the SI trait into Arabidopsis thaliana has established this species as a model organism for mechanistic and evolutionary studies of mating systems in crucifers (Nasrallah et al. 2002, 2004). However, to date, only one SI specificity, that which is determined by the Sb haplotype of A. lyrata, has been successfully introduced into A. thaliana and shown to alter the plant''s mating reaction from strict autogamy to full SI. To exploit fully the A. thaliana transgenic SI model, additional S haplotypes must be introduced into this species. In addition to facilitating mechanistic studies of the SRK–SCR interaction and dominance relationships, the expression of multiple SI specificities in A. thaliana promises to shed light on processes underlying the diversification of SRK and SCR genes. For example, expression in A. thaliana of SI specificities derived from different crucifer species will allow direct assays of the functional equivalence or nonequivalence of the corresponding S haplotypes, an issue that is difficult to resolve on the basis of sequence information alone.Although conceptually simple, expressing different SI specificities by transformation with different SRK/SCR gene pairs is not a straightforward proposition. Difficulties stem largely from the availability of appropriate cloned SRK/SCR variants for use in transformation experiments. A large number of SRK/SCR gene pairs are available from Brassica species as a result of extensive and long-standing studies of SI. However, attempts to restore SI in transgenic A. thaliana using Brassica S-locus genes had met with failure (Bi et al. 2000; J. B. Nasrallah, unpublished data), possibly because of the inability of Brassica SRKs to interact productively with A. thaliana components of the SI signal transduction pathway. In the past few years, studies of SI were initiated in self-incompatible species more closely related to A. thaliana, such as A. lyrata, A. halleri, and Capsella grandiflora. However, with a few exceptions, these studies produced only partial SRK and SCR sequences amplified from genomic DNA (Schierup et al. 2001; Prigoda et al. 2005; Bechsgaard et al. 2006; Paetsch et al. 2006). The challenging task of cloning the very highly polymorphic SCR sequences and complete SRK and SCR genes, which requires genomic library construction and in many cases chromosome walking, has only been accomplished for two S haplotypes of A. lyrata, Sb (hereafter AlSb, which was used in previous transformation studies (Nasrallah et al. 2002, 2004), and Sa (AlSa; Kusaba et al. 2001), and for the S7 haplotype of C. grandiflora (CgS7; Nasrallah et al. 2007).In this article, we report the isolation of two new SRK/SCR gene pairs from genomic libraries of A. lyrata and expression of the corresponding SI specificities in A. thaliana. We also describe a novel strategy for rapid and efficient transfer of several distinct SI specificities into A. thaliana, which only requires knowledge of the eSRK sequence and SCR second-exon sequences that encode the mature SCR protein.     

Spatial and temporal variation in malaria transmission in a low endemicity area in northern Tanzania

Background

Current detection or screening for malaria infection necessitates drawing blood by fingerprick or venipuncture, which poses risks and limitations for repeated measurement. This study presents PCR detection of Plasmodium falciparum in human urine and saliva samples, and illustrates this potential application in genotyping malaria infections.

Methods

Urine and saliva were obtained from 47 thick film positive and 4 negative individuals one day after collection of blood slides and filter paper blood spots. P. falciparum DNA was extracted from blood, urine and saliva, in separate groups, using the Chelex method or Qiagen DNEasy^® kit (urine and saliva only). Blood, urine and saliva extracts were subjected to PCR in separate batches. Amplicons from the various sample types were examined for MSP2 polymorphisms and restriction fragment patterns on DHFR amino acid codon 59.

Results and discussion

Malaria infections exhibited primarily low-grade parasite densities, with a geometric mean of 775 asexual parasites/μl. Regularly matching polymorphic MSP2 genotypes were found between the corresponding urine, saliva and peripheral blood amplicons of each individual, with different inter-individual polymorphic genotypes. Amplicon yields were significantly dependent on DNA extraction method, parasite density and primer set (p < 0.001). A Qiagen^® kit extraction had more than 2× higher amplicon yield than the Chelex method, for both urine and saliva. Amplicon yields were 1.6 fold higher from saliva than urine. For each unit increase in log parasite density, the probability of amplicon enhanced 1.8 fold. Highest amplicon yields were obtained from the primer set with the shortest PCR product.

Conclusion

P. falciparum infection is detectable by PCR on human urine and saliva samples. Subject to further refinement of extraction technique and amplicon yields, large-scale malaria parasite screening and epidemiological surveys could be possible without the need to collect blood and use of needles or sharps.     

RNA synthetic biology

RNA molecules play important and diverse regulatory roles in the cell by virtue of their interaction with other nucleic acids, proteins and small molecules. Inspired by this natural versatility, researchers have engineered RNA molecules with new biological functions. In the last two years efforts in synthetic biology have produced novel, synthetic RNA components capable of regulating gene expression in vivo largely in bacteria and yeast, setting the stage for scalable and programmable cellular behavior. Immediate challenges for this emerging field include determining how computational and directed-evolution techniques can be implemented to increase the complexity of engineered RNA systems, as well as determining how such systems can be broadly extended to mammalian systems. Further challenges include designing RNA molecules to be sensors of intracellular and environmental stimuli, probes to explore the behavior of biological networks and components of engineered cellular control systems.     

BIGSdb: Scalable analysis of bacterial genome variation at the population level

Background  

The opportunities for bacterial population genomics that are being realised by the application of parallel nucleotide sequencing require novel bioinformatics platforms. These must be capable of the storage, retrieval, and analysis of linked phenotypic and genotypic information in an accessible, scalable and computationally efficient manner.