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Regulation of adenylyl cyclase 5 in striatal neurons confers the ability to detect coincident neuromodulatory signals

Long-term potentiation and depression of synaptic activity in response to stimuli is a key factor in reinforcement learning. Strengthening of the corticostriatal synapses depends on the second messenger cAMP, whose synthesis is catalysed by the enzyme adenylyl cyclase 5 (AC5), which is itself regulated by the stimulatory Golf and inhibitory Gi proteins. AC isoforms have been suggested to act as coincidence detectors, promoting cellular responses only when convergent regulatory signals occur close in time. However, the mechanism for this is currently unclear, and seems to lie in their diverse regulation patterns. Despite attempts to isolate the ternary complex, it is not known if Golf and Gi can bind to AC5 simultaneously, nor what activity the complex would have. Using protein structure-based molecular dynamics simulations, we show that this complex is stable and inactive. These simulations, along with Brownian dynamics simulations to estimate protein association rates constants, constrain a kinetic model that shows that the presence of this ternary inactive complex is crucial for AC5s ability to detect coincident signals, producing a synergistic increase in cAMP. These results reveal some of the prerequisites for corticostriatal synaptic plasticity, and explain recent experimental data on cAMP concentrations following receptor activation. Moreover, they provide insights into the regulatory mechanisms that control signal processing by different AC isoforms.\n\nAuthor summaryAdenylyl cyclases (ACs) are enzymes that can translate extracellular signals into the intracellular molecule cAMP, which is thus a 2nd messenger of extracellular events. The brain expresses nine membrane-bound AC variants, and AC5 is the dominant form in the striatum. The striatum is the input stage of the basal ganglia, a brain structure involved in reward learning, i.e. the learning of behaviors that lead to rewarding stimuli (such as food, water, sugar, etc). During reward learning, cAMP production is crucial for strengthening the synapses from cortical neurons onto the striatal principal neurons, and its formation is dependent on several neuromodulatory systems such as dopamine and acetylcholine. It is, however, not understood how AC5 is activated by transient (subsecond) changes in the neuromodulatory signals. Here we combine several computational tools, from molecular dynamics and Brownian dynamics simulations to bioinformatics approaches, to inform and constrain a kinetic model of the AC5-dependent signaling system. We use this model to show how the specific molecular properties of AC5 can detect particular combinations of co-occuring transient changes in the neuromodulatory signals which thus result in a supralinear/synergistic cAMP production. Our results also provide insights into the computational capabilities of the different AC isoforms.

neuroscience

Translation and Transforming Activity of a Circular RNA from Human Papillomavirus

Bioinformatics and in vitro studies have revealed that single-stranded circular RNAs (circRNAs), generated through backsplicing, occur more extensively than initially appreciated. While the functions of most circRNAs are unknown, binding of microRNAs (miRNA), regulation of splicing and transcription, and translation into proteins have all been demonstrated for specific circRNAs. Virally-derived circRNAs have recently been described in gamma-herpesviruses. Here, we report that oncogenic human papillomaviruses (HPV) generate circRNAs, including ones which encompass the entire coding region of the E7 oncogene (circE7). HPV16 circE7 can be detected by both inverse RT-PCR and Northern blots of HPV16-transformed cell lines. CircE7 is N6-methyladenosine (m6A) modified, preferentially localized to the cytoplasm, and can be translated to produce E7 oncoprotein. Specific disruption of circE7 in CaSki cervical carcinoma cells decreased E7 protein levels, inhibited cell proliferation, and inhibited the ability of the cells to form colonies in soft agar. Analysis of TCGA RNA-seq data demonstrates that HPV-positive cancers have abundant circE7 RNAs. These results provide evidence that virally-derived, protein-encoding circular RNAs have biologically important functions with relevance to the transforming properties of HPV.

molecular biology

Multi-disease associated risk locus in IL6 represses the anti-inflammatory gene GPNMB through chromatin looping and recruiting MEF2-HDAC complex

We have previously revealed a genetic association between Takayasu arteritis and a non-coding genetic variant in an enhancer region within IL6 (rs2069837 A/G). The risk allele in this variant (allele A) has a protective effect against chronic viral infection and cancer. Using a combination of experimental and bioinformatics tools, we identified the monocyte/macrophage anti-inflammatory gene GPNMB, [~]520kb away, as a target gene regulated by rs2069837. We revealed preferential recruitment of myocyte enhancer factor 2-histone deacetylase (MEF2-HDAC) repressive complex to the Takayasu arteritis risk allele. Further, we demonstrated suppression of GPNMB expression in monocyte-derived macrophages from healthy individuals with the AA compared to AG genotype, which was reversed by histone deacetylase inhibition. Our data suggest that the A allele in rs2069837 represses the expression of GPNMB by recruiting MEF2-HDAC complex, enabled through a long-range intra-chromatin looping mediated by CTCF. Suppression of this anti-inflammatory gene might mediate increased susceptibility in Takayasu arteritis and enhance protective immune responses in chronic infection and cancer. Our data highlight long-range chromatin interactions in functional genomic studies.

genetics

Exploring the link between adenine DNA methylation and 3D genome organization in the parasite Trichomonas vaginalis

Trichomonas vaginalis is a common sexually transmitted parasite that colonizes the human urogenital tract causing infections that range from asymptomatic to highly inflammatory. Recent works have highlighted the importance of histone modifications in the regulation of transcription and parasite pathogenesis. However, the nature of DNA methylation in the parasite remains unexplored. Using a combination of immunological techniques and UHPLC, we analyzed the abundance of DNA methylation in strains with differential pathogenicity demonstrating that N6-methyladenine (6mA), and not 5-methylcytosine (5mC), is the main DNA methylation mark in T. vaginalis. Genome-wide distribution of 6mA reveals that this mark is enriched at intergenic regions, with a preference for certain super-families of DNA transposable elements. We show that 6mA in T. vaginalis is associated with silencing when present on genes. Interestingly, bioinformatics analysis revealed the presence of transcriptionally active or repressive intervals flanked by 6mA-enriched regions and results from chromatin conformation capture (3C) experiments suggest these 6mA flanked regions are in close spatial proximity. These associations were disrupted when parasites were treated with the demethylation activator ascorbic acid. This finding revealed a new role for 6mA in modulating 3D chromatin structure and gene expression in this divergent member of the Excavata.\n\nSIGNIFICANCE STATEMENTTrichomonas vaginalis causes the most common non-viral sexually transmitted infection yet little is known about the regulation of gene expression in this eukaryotic parasite. We demonstrate that N6-methyladenine (6mA) is the main methylation mark in the T. vaginalis genome. 6mA is widespread in DNA of eubacterial genera, but uncommon in genomes of most eukaryotes. Examination of the genome-wide distribution of 6mA reveals a preference for intergenic regions. Transcriptionally active or repressive intervals are found to be flanked by 6mA-enriched regions and data suggest 6mA flanked regions are in close 3D spatial proximity. Our findings describe for the first time the presence of DNA methylation in T. vaginalis and reveal a new role for 6mA in modulating 3D chromatin architecture.

microbiology

Start from Scratch: Precisely Identify Massive Active Enhancers by Sequencing

Enhancer loci identified by ChIP-Seq or other experimental methods occupy hundreds of base pairs on the genome. It is the paradox comparing with the motif analysis, which usually contains only a few or tens nucleotides, achieved by bioinformatics analysis. To address this issue, we develop an experimental method, termed as massive active enhancer sequencing (MAE-Seq), to designate active enhancer sequences from arbitrary sources of 25bp random DNA libraries. These sequences are constructed in a mini-promoter vector with fluorescent reporter. After transfection, positive cells are sorted out and for sequencing. With the results, we successfully identify hundreds known accurate active enhancer sequences as expected. Besides that, large amounts of unmarked regulatory elements (UREs) without epigenetic features are also been spotted. In conclusion, MAE-Seq would be useful to refine enhancer sequences and precisely annotate the genome in eukaryotes.

genomics

MiR-219 deficiency in Alzheimer’s disease contributes to neurodegeneration and memory dysfunction through post-transcriptional regulation of tau-kinase network

Intracellular accumulation of hyperphosphorylated misfolded tau proteins is one of the main neuropathological hallmarks in Alzheimers disease (AD) and related tauopathies. Hence, knowledge and understanding of disease mechanisms altering tau proteostasis and inducing cytotoxicity is critical. MicroRNAs (miRNAs) are capable of binding to and silencing many target transcripts, providing an additional level of regulation that complements canonical transcriptional pathways. Therefore, observed abnormalities in their expression patterns in neurodegeneration suggest alterations of microRNA-target networks as drivers of cellular dysfunction in the disease. Strikingly, here we have found in autopsy brain tissue that miRNA miR-219 expression levels are decreased in a brain region early affected in AD patients, the entorhinal cortex. Our bioinformatics analysis indicates miR-219 is predicted to target Calcium/calmodulin-dependent protein kinase 2 gamma subunit (CAMK2{gamma}), Tau tubulin kinase 1 (TTBK1) and Glycogen synthase kinase 3 beta (GSK3{beta}), which are all implicated in the generation of abnormal hyperphosphorylated tau. We reveal human proteomic data supporting dysregulation in the levels of predicted miR-219 targets in the entorhinal cortex. In mammalian cellular models, we found that downregulation of miR-219 de-repress synthesis of three tau kinases, CAMK2{gamma}, TTBK1 and GSK3{beta} on the post-transcriptional level resulting in tau phosphorylation and cell toxicity. Finally, we show that deficiency of miR-219 in vivo promotes age dependent neurodegeneration in the adult brain, with enhanced alterations in tau proteostasis, presynaptic terminals and memory impairment. Taken together, our data implicate miRNA dysregulation central to AD etiopathogenesis and suggest potential targets for the treatment of AD and related tauopathies.

neuroscience

THE PROTO-ONCOGENE FYN INHIBITS THE ANTI-GLIOBLASTOMA IMMUNE RESPONSE

BackgroundHigh grade gliomas are aggressive and immunosuppressive brain tumors. Molecular mechanisms that regulate the inhibitory immune tumor microenvironment (TME) and glioma progression remain poorly understood. FYN tyrosine kinase is a downstream target of the oncogenic receptor tyrosine kinases pathway and is overexpressed in human gliomas. FYNs role in vivo in glioma growth remains unknown. We investigated whether FYN regulates glioma initiation, growth and invasion. MethodsWe evaluated the role of FYN using genetically engineered mouse glioma models (GEMM). We also generated FYN knockdown stem cells to induce gliomas in immune-competent and immune-deficient mice (NSG, CD8-/-, CD4-/-). We analyzed molecular mechanism by RNA-Seq and bioinformatics analysis. Flow cytometry was used to characterize immune cellular infiltrates in the FYN knockdown glioma TME. ResultsWe demonstrate that FYN knockdown in diverse immune-competent GEMMs of glioma reduced tumor progression and significantly increased survival. Gene ontologies (GOs) analysis of differentially expressed genes in wild type vs. FYN knockdown gliomas showed enrichment of GOs related to immune reactivity. However, in NSG, CD8-/- and CD4-/- immune-deficient mice, FYN knockdown gliomas failed to show differences in survival. These data suggest that the expression of FYN in glioma cells reduces anti-glioma immune activation. Examination of glioma immune infiltrates by flow-cytometry displayed reduction in the amount and activity of immune suppressive myeloid derived cells (MDSCs) in the FYN glioma TME. ConclusionsGliomas employ FYN mediated mechanisms to enhance immune-suppression and promote tumor progression. We propose that FYN inhibition within glioma cells could improve the efficacy of anti-glioma immunotherapies. Key pointsInhibition of FYN tyrosine kinase in genetically engineered mouse glioma models delays tumor initiation and progression. The oncogenic effects of FYN in vivo are mediated by downregulation of anti-glioma immunity. Importance of the StudyFYN is an effector of receptor tyrosine kinases (RTK) signaling in glioma. However, its role in vivo remains unknown. Our study demonstrates that FYN tyrosine kinase is a novel regulator of the anti-glioma immune response. We show that FYN inactivation suppresses glioma growth, increases survival, and enhances anti-tumor immune reactivity. Our findings suggest that suppressing the expression of FYN in glioma cells could provide a novel therapeutic target.

cancer biology

PSX: Protein-Solvent Exchange - Software for calculation of deuterium-exchange effects in SANS measurements from protein coordinates

Recent developments in neutron scattering instrumentation and sample handling have enabled studies of more complex biological samples and measurements at shorter exposure times. The experiments are typically conducted in D2O-based buffers to emphasize or diminish scattering from a particular components or to minimize background noise in the experiment. To extract most information from such experiments it is thus desirable to determine accurate estimates of how and when closely bound hydrogen atoms from the biomolecule exchange with the deuterium in the solvent. We introduce and document software, PSX, for exploring the effect of hydrogen-deuterium exchange for proteins solubilized in D2O as well as the underlying bioinformatical models. The software aims to be generally applicable for any atomistic structure of a protein and its surrounding environment, and thus captures effects of both heterogenous exchange rates throughout the protein structure and by varying the experimental conditions such as pH and temperature. The paper concludes with examples of applications and estimates of the effect in typical scenarios emerging in small-angle neutron scattering on biological macromolecules in solution. Our analysis suggests that the common assumption of 90% exchange is in many cases an overestimate with the rapid sample handling systems currently available, which leads to fitting and calibration issues when analysing the data. Source code for the presented software is available from an online repository in which it is published under version 3 of the GNU publishing license.

biophysics

Metrics for Graph Comparison: A Practitioner’s Guide

Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience [1], cyber security [2], social network analysis [3], and bioinformatics [4], among others. Discovery and comparison of structures such as modular communities, rich clubs, hubs, and trees in data in these fields yields insight into the generative mechanisms and functional properties of the graph.\n\nOften, two graphs are compared via a pairwise distance measure, with a small distance indicating structural similarity and vice versa. Common choices include spectral distances (also known as{lambda} distances) and distances based on node affinities (such as DeltaCon [5]). However, there has of yet been no comparative study of the efficacy of these distance measures in discerning between common graph topologies and different structural scales.\n\nIn this work, we compare commonly used graph metrics and distance measures, and demonstrate their ability to discern between common topological features found in both random graph models and empirical datasets. We put forward a multi-scale picture of graph structure, in which the effect of global and local structure upon the distance measures is considered. We make recommendations on the applicability of different distance measures to empirical graph data problem based on this multi-scale view. Finally, we introduce the Python library NetComp which implements the graph distances used in this work.

neuroscience

Single cell RNA sequencing reveals cellular diversity of trisomy 21 retina

Retina is a crucial tissue for the capturing and processing of light stimulus. Characterization of the retina at single cell level is essential for the understanding of its biological functions. A variety of abnormalities in terms of morphology and function were reported in T21 retina. To evaluate the effects of chromosome aneuploidy on retina development, we characterized single cell transcriptional profiles of a T21 fetus and performed comprehensive bioinformatic analyses. Our data revealed the diversity and heterogeneity of cellular compositions in T21 retina. In total, we identified seven major cell types, and detected several subtypes within each cell type, followed by the detection of corresponding molecular markers including previously reported ones and a series of novel markers. Our analyses identified extensive communication networks between distinct cellular types, among which a few ligand-receptor interactions were associated with the development of retina and immunoregulatory interactions. Taken together, our data provided the first single cell transcriptome profile for human T21 retina which facilitates our understanding on the dosage effects of chromosome 21 on the development of retina.

cell biology

Integrated analysis of the miRNA-mRNA network associated with LMP1 gene in nasopharyngeal carcinoma

Epstein-Barr virus oncogenic latent membrane protein 1 (LMP1) has been known to play important roles in nasopharyngeal carcinoma (NPC). LMP1 gene also induced a variety of microRNAs (miRNAs) which bear pivotal roles in regulation of mRNAs expression. However, little was known about the global change of mRNAs and miRNAs induced by LMP1 gene in NPC. In our study, one NPC tissue microarray profile and two LMP1-associated microarray expression profiles data were downloaded from the Gene Expression Omnibus database. A protein-protein interaction network was constructed by using bioinformatics platform Gene-Cloud of Biotechnology Information (GCBI). 78 differentially expressed miRNAs and 3322 differentially expressed genes were identified in order to generate a macroscopic network between miRNAs and mRNAs associated with LMP1 gene. In addition, two significant models were generated to illustrate the expression tendency. Our study provided a way to reveal the interaction between miRNAs and mRNAs in LMP1 axis, bringing insights into the pathogenesis of NPC.

microbiology

Raw wastewater irrigation for urban agriculture in Africa increases the diversity of transferable antibiotic resistances genes in soil, including those encoding ESBLs

A metagenomic study was conducted to investigate the impact of raw wastewater use for irrigation in urban agriculture on the development of bacterial resistance in soil. Soil samples were collected in two African countries, from three different cities (each with irrigated and non-irrigated plots). Basic physical and chemical analysis were conducted, and the presence of selected antibiotic residues was assessed. Microbial DNA was extracted, quantified and sequenced. Microbial population structure and function, presence of horizontally transferable antibiotic resistance genes and Enterobacteriaceae plasmids replicons were analysed using bioinformatics. The relative prevalence of Proteobacteria and Bacteroidetes and sequence reads coding for microbial adaptation and growth were higher in irrigated fields; 33 and 26 transferable ARGs were found in irrigated and non-irrigated fields sequence reads, respectively. Extended spectrum {beta}-lactam genes identified in irrigated fields included blaCARB-3, blaOXA-347, blaOXA-5 and blaRm3. Concentration of sulfamethoxazole, ciprofloxacin and enrofloxacin in soils influenced the selection of antibiotic resistance genes encoding resistance against amphenicol, {beta}-lactams, and tetracyclines. Ten Enterobacteriaceae plasmid amplicon groups were identified in the fields, five were common to both, two (IncW and IncP1) and three (IncY, IncFIB and IncFIA) were found in irrigated and non-irrigated fields, respectively.\n\nIn conclusion, wastewater irrigation affected both soil microbial diversity and functions. Irrigated fields have more diverse transferable antibiotic resistance genes, including ESBL genes that encode resistance to {beta}-lactams antibiotics, except cephamycins and carbapenems. Even more, critical concentrations of antibiotic residues select for multiple and cross resistance. The findings from African cities show that wastewater irrigation in urban agriculture presents a serious public health risk for farmworkers and consumers by spread of bacterial resistance.

microbiology

Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/ adenine methylation changes

Methods for investigating DNA methylation nowadays either require a reference genome and high coverage, or investigate only CG methylation. Moreover, no large-scale analysis can be performed for N6-methyladenosine (6mA). Here we describe the methylation content sensitive enzyme double-digest restriction-site-associated DNA (ddRAD) technique (MCSeEd), a reduced-representation, reference-free, cost-effective approach for characterizing whole genome methylation patterns across different methylation contexts (e.g., CG, CHG, CHH, 6mA). MCSeEd can also detect genetic variations among hundreds of samples. MCSeEd is based on parallel restrictions carried out by combinations of methylation insensitive and sensitive endonucleases, followed by next-generation sequencing. Moreover, we present a robust bioinformatic pipeline (available at https://bitbucket.org/capemaster/mcseed/src/master/) for differential methylation analysis combined with single nucleotide polymorphism calling without or with a reference genome.

genomics

Small RNA Mcr11 regulates genes involved in the central metabolism of Mycobacterium tuberculosis and requires 3 sequence along with the transcription factor AbmR for stable expression

Mycobacterium tuberculosis (Mtb), the etiologic agent of tuberculosis, must adapt to host-associated environments during infection by modulating gene expression. Small regulatory RNAs (sRNAs) are key regulators of bacterial gene expression, but their roles in Mtb are not well understood. Here, we address the expression and function of the Mtb sRNA Mcr11, which is associated with slow bacterial growth and latent infections in mice. We found, by using biochemical and genetic approaches, that the AbmR transcription factor and an extended region of native sequence 3 to the mcr11 gene enhance production of mature Mcr11. Additionally, we found that expression of Mcr11 was unstable in the saprophyte Mycobacterium smegmatis, which lacks an mcr11 orthologue. Bioinformatic analyses used to predict regulatory targets of Mcr11 identified 9-11 nucleotide regions immediately upstream of Rv3282 and lipB with potential for direct base-pairing with Mcr11. mcr11-dependent regulation of Rv3282, lipB, Rv2216 and pknA was demonstrated using qRT-PCR in wild type versus mcr11-deleted Mtb and found to be responsive to the presence of fatty acids. These studies establish that Mcr11 has roles in regulating growth and central metabolism in Mtb that warrant further investigation. In addition, our finding that multiple factors are required for production of stable, mature Mcr11 emphasizes the need to study mechanisms of sRNA expression and stability in TB complex mycobacteria to understand their roles in TB pathogenesis.\n\nAuthor SummaryBacterial pathogens must continuously modulate their gene expression in response to changing conditions to successfully infect and survive within their hosts. Transcription factors are well known regulators of gene expression, but there is growing recognition that small RNAs (sRNAs) also have critically important roles in bacterial gene regulation. Many sRNAs have been identified in M. tuberculosis (Mtb), but little is known about their expression, regulatory targets or roles in Mtb biology. In this study, we found that the Mtb sRNA Mcr11, which is expressed at high levels in slowly replicating Mtb and during mouse infection, regulates expression of several target genes involved in central metabolism. Importantly, we also discovered that mcr11 has unexpected requirements for stable expression in mycobacteria. In particular, we identified RNA sequence elements immediately downstream of mcr11 that enhance transcription termination and production of mature Mcr11 RNA in TB-complex mycobacteria. Meanwhile, ectopic expression of Mcr11 was unstable in a non-pathogenic strain of mycobacteria, suggesting that factors specific to pathogenic mycobacteria are required for the stable production of Mcr11. These studies identify sRNA stability as a new frontier for understanding gene expression in Mtb.

microbiology

Polyglutamine-expanded androgen receptor disrupts muscle triad, calcium dynamics and the excitation-contraction coupling gene expression program

Spinal and bulbar muscular atrophy (SBMA) is caused by polyglutamine (polyQ) expansions in the androgen receptor (AR) gene. Although clinical and experimental evidence highlight a primary role for skeletal muscle in the onset, progression, and outcome of disease, the pathophysiological and molecular processes underlying SBMA muscle atrophy are poorly understood. Here we show that polyQ-expanded AR alters intrinsic muscle force generation before denervation. Reduced muscle force was associated with a switch in fiber-type composition, disrupted muscle striation, altered calcium (Ca++) dynamics in response to muscle contraction, and aberrant expression of excitation-contraction coupling (ECC) machinery genes in transgenic, knock-in and inducible SBMA mice and patients. Importantly, treatment to suppress polyQ-expanded AR toxicity restored ECC gene expression back to normal. Suppression of AR activation by surgical castration elicited similar ECC gene expression changes in normal mice, suggesting that AR regulates the expression of these genes in physiological conditions. Bioinformatic analysis revealed the presence of androgen-responsive elements on several genes involved in muscle function and homeostasis, and experimental evidence showed AR-dependent regulation of expression and promoter occupancy of the most up-regulated gene from transcriptomic analysis in SBMA muscle, i.e. sarcolipin, a key ECC gene. These observations reveal an unpredicted role for AR in the regulation of expression of genes involved in muscle contraction and Ca++ dynamics, a level of muscle function regulation that is disrupted in SBMA muscle, yet restored by pharmacologic treatment.

neuroscience

Origin of a novel CYP20A1 lncRNA through 23 Alu exaptations in the human lineage creates a potential multi-miRNA sponge

BackgroundPrimate-specific Alus contribute to transcriptional novelties in conserved gene regulatory networks. Alu RNAs are present at elevated levels in stress conditions and consequently leads to transcript isoform specific functional role modulating the physiological outcome. One of the possible mechanisms could be Alu nucleated mRNA-miRNA interplay. ResultUsing combination of bioinformatics and experiments, we report a transcript isoform of an orphan gene, CYP20A1 (CYP20A1_Alu-LT) through exaptation of 23 Alus in its 9kb 3UTR. CYP20A1_Alu-LT, confirmed by 3RACE, is an outlier in length and expressed in multiple cell lines. We demonstrate its presence in single nucleus RNA-seq of [~]16000 human cortical neurons (including rosehip neurons). Its expression is restricted to the higher primates. Most strikingly, miRanda predicts [~]4700 miRNA recognition elements (MREs; with threshold< -25kcal/mol) for [~]1000 miRNAs, which have majorly originated within the 3UTR-Alus post exaptation. We hypothesized that differential expression of this transcript could modulate mRNA-miRNA networks and tested it in primary human neurons where CYP20A1_Alu-LT is downregulated during heat shock response and upregulated upon HIV1-Tat treatment. CYP20A1_Alu-LT could possibly function as a miRNA sponge as it exhibits features of a sponge RNA such as cytosolic localization and [&ge;]10 MREs for 140 miRNAs. Small RNA-seq revealed expression of nine miRNAs that can potentially be sponged by CYP20A1_Alu-LT in neurons. Additionally, CYP20A1_Alu-LT expression was positively correlated (low in heat shock and high in Tat) with 380 differentially expressed genes that contain cognate MREs for these nine miRNAs. This set is enriched in genes involved in neuronal development and hemostasis pathways. ConclusionWe demonstrate a potential role for CYP20A1_Alu-LT as miRNA sponge through preferential presence of MREs within Alus in a transcript isoform specific manner. This highlights a novel component of Alu-miRNA mediated transcriptional modulation leading to physiological homeostasis.

evolutionary biology

The diversity of the immunogenic components of the melanoma immunopeptidome.

Antigen-recognition by CD8+ T cells is governed by the pool of peptide antigens presented on the cell surface in the context of HLA class I complexes. Recent studies have shown not only a high degree of plasticity in the immunopeptidome, but also that a considerable fraction of all presented peptides is generated through proteasome-mediated splicing of non-contiguous regions of proteins to form novel peptide antigens. Here we used high-resolution mass-spectrometry combined with new bioinformatic approaches to characterize the immunopeptidome of melanoma cells in the presence or absence of interferon-{gamma}. In total, we identified more than 60,000 peptides from a single patient derived cell line (LM-MEL-44) and demonstrated that interferon-{gamma} induced marked changes in the peptidome with an overlap of only [~]50% between basal and treated cells. Around 6-8% of the peptides were identified as cis-spliced peptides, and 2213 peptides (1827 linear, 386 cis-spliced peptides) were derived from known melanoma-associated antigens. These peptide antigens were equally distributed between the constitutive and interferon-{gamma} induced peptidome. We next examined additional HLA-matched patient derived cell lines to investigate how frequently these peptides were identified and found that a high proportion of both linear and spliced peptides were conserved between individual patient tumors, drawing on data amassing to over 100,000 peptide sequences from these extended data sets. Moreover, several of these peptides showed in vitro immunogenicity across multiple melanoma patients. These observations highlight the breadth and complexity of the repertoire of immunogenic peptides that can be exploited therapeutically and suggest that spliced peptides are a major new class of tumor antigens.

immunology

Computational and experimental analysis of the glycophosphatidylinositol-anchored proteome of the human parasitic nematode Brugia malayi

Further characterization of essential systems in the parasitic filarial nematode Brugia malayi is needed to better understand its biology, its interaction with its hosts, and to identify critical components that can be exploited to develop novel treatments. The production of glycophosphatidylinositol-anchored proteins (GPI-APs) is essential in humans, yeast, and the nematode Caenorhabditis elegans. In addition, GPI-APs perform many important roles for cells. In this study, we characterized the B. malayi GPI-anchored proteome using both computational and experimental approaches. We used bioinformatic strategies to show the presence or absence of B. malayi GPI-AP biosynthetic pathway genes and to compile a putative B. malayi GPI-AP proteome using available prediction programs. We verified these in silico analyses using proteomics to identify GPI-AP candidates prepared from the surface of intact worms and from membrane enriched extracts. Our study represents the first description of the GPI-anchored proteome in B. malayi and lays the groundwork for further exploration of this essential protein modification as a target for novel anthelmintic therapeutic strategies.

molecular biology