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Nersisyan, S.

Publications and source records attributed to Nersisyan, S..

8 recordsLinked to original sources

Comprehensive profiling of small RNAs and their changes and linkages to mRNAs in schizophrenia and bipolar disorder

We investigated small non-coding RNAs (sncRNAs) from the prefrontal cortex of 93 individuals diagnosed with schizophrenia (SCZ) or bipolar disorder (BD) and 77 controls. We uncovered recurring complex sncRNA profiles, with 98% of all sncRNAs being accounted for by miRNA isoforms (60.6%), tRNA-derived fragments (17.8%), rRNA-derived fragments (11.4%), and Y RNA-derived fragments (8.3%). In SCZ, 15% of all sncRNAs exhibit statistically significant changes in their abundance. In BD, the fold changes (FCs) are highly correlated with those in SCZ but less acute. Non-templated nucleotide additions to the 3'-ends of many miRNA isoforms determine their FC independently of miRNA identity or genomic locus of origin. In both SCZ and BD, disease- and age-associated sncRNAs and mRNAs reveal accelerated aging. Co-expression modules between sncRNAs and mRNAs align with the polarities of SCZ changes and implicate sncRNAs in critical processes, including synaptic signaling, neurogenesis, memory, behavior, and cognition.

neuroscience↗

CorrAdjust unveils biologically relevant transcriptomic correlations by efficiently eliminating hidden confounders

Correcting for confounding variables is often overlooked when computing RNA-RNA correlations, even though it can profoundly affect results. We introduce CorrAdjust, a method for identifying and correcting such hidden confounders. CorrAdjust selects a subset of principal components to residualize from expression data by maximizing the enrichment of "reference pairs" among highly correlated RNA-RNA pairs. Unlike traditional machine learning metrics, this novel enrichment-based metric is specifically designed to evaluate correlation data and provides valuable RNA-level interpretability. CorrAdjust outperforms current state-of-the-art methods when evaluated on 25,063 human RNA-seq datasets from The Cancer Genome Atlas, the Genotype-Tissue Expression project, and the Geuvadis collection. In particular, CorrAdjust excels at integrating small RNA and mRNA sequencing data, significantly enhancing the enrichment of experimentally validated miRNA targets among negatively correlated miRNA-mRNA pairs. CorrAdjust, with accompanying documentation and tutorials, is available through GitHub at https://tju-cmc-org.github.io/CorrAdjust.

bioinformatics↗

All ribosomal RNAs and 45S spacers from humans to worms are packed with organism-specific motifs whose other copies are found predominantly in numerous nervous system genes including many associated with human disorders

The nucleotide sequences of ribosomal RNAs (rRNAs) and the spacers of 45S are tuned to fulfill optimally their respective roles during ribosome biosynthesis and function. We report that these sequences satisfy additional genome-wide constraints in humans, mice, fruit flies, and worms. In all four organisms, the rRNAs and 45S spacers are densely packed with organism-specific nucleotide motifs with many additional identical copies throughout the genome. The human rRNAs and 45S spacers contain 1,723 motifs whose sequences are unique to the rRNAs/spacers of primates. These motifs have numerous additional exact intronic and exonic copies whose genomic placement is also unique to primates. Specific combinations of the motifs appear exclusively in 3,430 human nervous system and developmental genes, including 1,046 risk genes for autism, schizophrenia, and bipolar disorder. RNA/RNA crosslinking experiments show that the rRNA/spacer motifs are contact points for rRNA-mRNA and mRNA-mRNA heteroduplexes. RNA binding protein (RBP) assays show that these motifs are also in the binding sites of 113 RBPs. RNA sequencing reveals that rRNAs and spacers produce endogenous small non-coding RNAs (sncRNAs) that carry the same primate-specific motifs. Lastly, the motifs intergenic and intronic copies overlap 131 GWAS polymorphisms associated with neuropathologies (p-val<3.9e-12). The findings suggest that the motifs facilitate RNA/RNA and RBP/RNA interactions that are affected by polymorphisms and modulated by rRNA- and spacer-derived sncRNAs carrying the same motifs. Our study also genetically links for the first time rRNAs and 45S spacers to autism and other typically human neurological disorders. Mutation panels based on these motifs can lead to new molecular diagnostics for these disorders, whereas snRNAs carrying these motifs can serve as drugs or potential therapeutic targets. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/627812v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@146feadorg.highwire.dtl.DTLVardef@1fa501corg.highwire.dtl.DTLVardef@a17f14org.highwire.dtl.DTLVardef@9e2053_HPS_FORMAT_FIGEXP M_FIG C_FIG The human ribosomal RNAs and the 45S spacers share primate-specific motifs with thousands of nervous system genes, including risk genes for autism and other neurological disorders. Similar links between rRNAs/spacers and nervous system genes exist in mice, fruit flies, and worms but are achieved through motifs that are unique to each organism. In humans, the motifs are at the contact points of endogenous gene-gene and rRNA-gene heteroduplexes, as well as the binding sites of RNA binding proteins (RBPs) in genes and rRNAs/spacers. Endogenous small RNAs carrying these shared motifs modulate these endogenous interactions and are disrupted by mutations at the motifs genomic copies. Mutation panels based on these motifs can lead to new diagnostics for autism and other disorders, while the small RNAs carrying the motifs can serve as drugs or potential therapeutic targets.

neuroscience↗

Differential co-expression network analysis with DCoNA reveals isomiR targeting aberrations in prostate cancer

We developed DCoNA - a statistical tool that allows one to identify pair interactions, which correlation significantly changes between two conditions. Comparing DCoNA with the state-of-the-art analog, we showed that DCoNA is a faster, more accurate, and less memory-consuming tool. We applied DCoNA to prostate mRNA/miRNA-seq data collected from The Cancer Genome Atlas (TCGA) and compared predicted regulatory interactions of miRNA isoforms (isomiRs) and their target mRNAs between normal and cancer samples. As a result, almost all highly expressed isomiRs lost negative correlation with their targets in prostate cancer samples compared to ones without the pathology. One exception to this trend was the canonical isomiR of hsa-miR-93-5p acquiring cancerspecific targets. Further analysis showed that cancer aggresiveness increased with the expression of this isomiR in both TCGA primary tumor samples and 153 blood plasma samples of own patients cohort analyzed by miRNA microarrays.

bioinformatics↗

Alterations in SARS-CoV-2 Omicron and Delta peptides presentation by HLA molecules

The T-cell immune response is a major determinant of effective SARS-CoV-2 clearance. Here, using the recently developed T-CoV bioinformatics pipeline (https://t-cov.hse.ru) we analyzed the peculiarities of the viral peptide presentation for the Omicron, Delta and Wuhan variants of SARS-CoV-2. First, we showed the absence of significant differences in the presentation of SARS-CoV-2-derived peptides by the most frequent HLA class I/II alleles and the corresponding HLA haplotypes. Then, the analysis was limited to the set of peptides originating from the Spike proteins of the considered SARS-CoV-2 variants. The major finding was the destructive effect of the Omicron mutations on PINLVRDLPQGFSAL peptide, which was the only tight binder from the Spike protein for HLA-DRB1*03:01 allele and some associated haplotypes. Specifically, we predicted a dramatical decline in binding affinity of HLA-DRB1*03:01 and this peptide after N211 deletion, L212I substitution and EPE 212-214 insertion. The computational prediction was experimentally validated by ELISA with the use of corresponding thioredoxin-fused peptides and recombinant HLA-DR molecules. Another finding was the significant reduction in the number of tightly binding Spike peptides for HLA-B*07:02 HLA class I allele (both for Omicron and Delta variants). Overall, the majority of HLA alleles and haplotypes was not significantly affected by the mutations, suggesting the maintenance of effective T-cell immunity against the Omicron and Delta variants. Finally, we introduced the Omicron variant to T-CoV portal and added the functionality of haplotype-level analysis to it.

immunology↗

ExhauFS: exhaustive search-based feature selection for classification and survival regression

MotivationFeature selection is one of the main techniques used to prevent overfitting in machine learning applications. The most straightforward approach for feature selection is exhaustive search: one can go over all possible feature combinations and pick up the model with the highest accuracy. This method together with its optimizations were actively used in biomedical research, however, publicly available implementation is missing. ResultsWe present ExhauFS - the user-friendly command-line implementation of the exhaustive search approach for classification and survival regression. Aside from tool description, we included three application examples in the manuscript to comprehensively review the implemented functionality. First, we executed ExhauFS on a toy cervical cancer dataset to illustrate basic concepts. Then, a multi-cohort microarray and RNA-seq breast cancer datasets were used to construct gene signatures for 5-year recurrence classification. Finally, Cox survival regression models were used to fit isomiR signatures for overall survival prediction for patients with colorectal cancer. AvailabilitySource codes and documentation of ExhauFS are available on GitHub: https://github.com/s-a-nersisyan/ExhauFS. Contactsnersisyan@hse.ru

bioinformatics↗

T-CoV: a comprehensive portal of HLA-peptide interactions affected by SARS-CoV-2 mutations

Rapidly appearing SARS-CoV-2 mutations can affect T cell epitopes, which can help the virus to evade either CD8 or CD4 T-cell responses. We developed T-cell COVID-19 Atlas (T-CoV, https://t-cov.hse.ru) - the comprehensive web portal, which allows one to analyze how SARS-CoV-2 mutations alter the presentation of viral peptides by HLA molecules. The data are presented for common virus variants and the most frequent HLA class I and class II alleles. Binding affinities of HLA molecules and viral peptides were assessed with accurate in silico methods. The obtained results highlight the importance of taking HLA alleles diversity into account: mutation-mediated alterations in HLA-peptide interactions were highly dependent on HLA alleles. For example, we found that the essential number of peptides tightly bound to HLA-B*07:02 in the reference Wuhan variant ceased to be tight binders for the Indian (Delta) and the UK (Alpha) variants. In summary, we believe that T-CoV will help researchers and clinicians to predict the susceptibility of individuals with different HLA genotypes to infection with variants of SARS-CoV-2 and/or forecast its severity.

bioinformatics↗

The potential role of miR-21-3p in coronavirus-host interplay

ABSTRACTHost miRNAs are known as important regulators of virus replication and pathogenesis. They can interact with various viruses by several possible mechanisms including direct binding the viral RNA. Identification of human miRNAs involved in coronavirus-host interplay is becoming important due to the ongoing COVID-19 pandemic. In this work we performed computational prediction of high-confidence direct interactions between miRNAs and seven human coronavirus RNAs. In order to uncover the entire miRNA-virus interplay we further analyzed lungs miRNome of SARS-CoV infected mice using publicly available miRNA sequencing data. We found that miRNA miR-21-3p has the largest probability of binding the human coronavirus RNAs and being dramatically up-regulated in mouse lungs during infection induced by SARS-CoV. Further bioinformatic analysis of binding sites revealed high conservativity of miR-21-3p binding regions within RNAs of human coronaviruses and their strains.Competing Interest StatementThe authors have declared no competing interest.View Full Text

bioinformatics↗