Biology subjects

Pervouchine, D. D.

Publications and source records attributed to Pervouchine, D. D..

10 recordsLinked to original sources

bioRxiv2026

Estimation of splicing metrics for NMD-sensitive transcripts

Alternative splicing is commonly quantified using the Percent-Spliced-In (PSI) metric, which measures the relative abundances of alternatively spliced isoforms. However, some transcript isoforms are targeted by the nonsense-mediated decay (NMD) pathway, introducing a strong bias that leads to underestimation of their true splicing rates. To correct for this bias, we developed an analytical framework and a set of statistical models employing a linear fractional transformation depending on a single parameter capturing the degradation rate of NMD-sensitive transcripts relative to normal mRNA decay. Using Gaussian mixture models, we demonstrated a clear separation of splicing events into two classes, responders and non-responders, with the former exhibiting strong upregulation upon NMD inhibition and the latter showing little or no response. Moreover, non-responders displayed higher coding potential and stronger translation signals both upstream and downstream of the stop codon, which are characteristic of NMD escape through translational readthrough. We further showed that incorporation of event-specific relative decay rates improves the interpretation of differential splicing patterns for NMD-sensitive transcripts. In sum, our results provide a solid framework for unbiased estimation of splicing metrics in NMD-sensitive transcripts from short-read RNA-seq data, without requiring NMD inhibition experiments.

bioinformatics↗

bioRxiv2025

Global changes in unproductive splicing and the NMD system efficiency in tumors

The Nonsense-Mediated Decay (NMD) pathway is a mRNA quality control mechanism, which not only degrades deleterious transcripts but also orchestrates a large number of post-transcriptional regulatory programs through unproductive splicing. Here, we developed a robust metric derived from the quantification of splicing in the RNA-seq data to measure NMD efficiency at a sample level. We demonstrate that NMD efficiency varies substantially both between and within tissues, with the magnitude of variation comparable to that observed upon knockdown of the core NMD factor UPF1. By analyzing TCGA cancer cohorts, we further show that, in many tumors, unproductive splicing events exhibit coordinated changes towards either collective suppression or collective activation of NMD isoforms, which is indicative of a global deregulation of the NMD pathway activity. Consistently, we observed a striking divergence of NMD efficiency in cancers from the tissue-specific baseline level suggesting that tumors partially erase the NMD signature of their tissue of origin. The application of the developed metric to RNA-binding protein knockdowns allowed identification of several novel potential regulators of NMD efficiency. In sum, this study provides a solid framework for NMD efficiency quantification, describes its biological and clinical relevance, and opens new avenues for dissecting mechanisms of post-transcriptional gene expression regulation by the NMD pathway.

bioinformatics↗

bioRxiv2025

Novel examples of NMD escape through alternative intronic polyadenylation

The nonsense-mediated mRNA decay (NMD) surveillance system detects and selectively eliminates transcripts with premature stop codons. A stop codon is considered premature if it is followed by an exon-exon junction more than 50 nucleotides downstream. Pruning of the 3-untranslated region containing such junctions through alternative polyadenylation may provide a mechanism of NMD escape. Here, we systematically examine a subclass of poison exons that carry a premature stop codon for the presence of polyadenylation sites in the downstream intron. Using data from the GTEx consortium, we observed that poison exons are more often followed by an active polyadenylation site compared with cassette exons. We also identified tissue-specific switches between NMD-targeted and NMD-escape isoforms in several human genes, including the vaccinia-related kinase VRK3, nuclear transcription factor NFX1, Notch pathway regulator TM2D3, and RNA helicase DDX31. Blocking the cleavage and polyadenylation sites in these genes using antisense oligonucleotides in human cells led to a switch from NMD-escape to NMD-target isoform, accompanied by a decrease in gene expression levels. This study reveals that NMD escape via alternative polyadenylation is a widespread, yet currently overlooked post-transcriptional mechanism of gene expression regulation.

bioinformatics↗

bioRxiv2022

RNAcontacts, a pipeline for predicting contacts from RNA proximity ligation assays

BackgroundHigh-throughput RNA proximity ligation assays are molecular methods that simultaneously analyze spatial proximity of many RNAs in living cells. Their principle is based on cross-linking, fragmentation, and consequent religation of RNAs followed by high-throughput sequencing. The generated fragments have two distinct types of splits, one resulting from pre-mRNA splicing, and the other resulting from ligating spatially close RNA strands. FindingsHere, we present RNAcontacts, a universal pipeline for detecting RNA-RNA contacts in high-throughput RNA proximity ligation assays. It circumvents the inherent problem of mapping sequences with two distinct split types using a two-pass alignment, in which splice junctions are inferred from a control RNA-seq experiment on the first pass and then provided to the aligner on the second pass as bona fide introns. This approach allows for a more sensitive detection of RNA contacts and has higher specificity with respect to splice junctions that are present in the biological sample in comparison to previously developed methods. RNAcontacts extracts contacts, clusters their ligation points, computes the read support, and generates tracks for the visualization through the UCSC Genome Browser. It is implemented in a reproducible and scalable workflow management system Snakemake that allows fast and uniform processing of multiple datasets. ConclusionsRNAcontacts represents a generic pipeline for the detection of RNA contacts that can be used with any proximity ligation method as long as one of the interacting partners is RNA. RNAcontacts is available via github at https://github.com/smargasyuk/RNAcontacts/

bioinformatics↗

bioRxiv2022

TransCistor reveals the landscape of cis-regulatory long noncoding RNAs

A key attribute of some long noncoding RNAs (lncRNAs) is their ability to regulate expression of neighbouring genes in cis. However, such cis-lncRNAs are presently defined using ad hoc criteria that, we show, are prone to false-positive predictions. The resulting lack of cis-lncRNA catalogues hinders our understanding of their extent, characteristics and mechanisms. Here, we introduce TransCistor, a framework for defining and identifying cis-lncRNAs based on enrichment of targets amongst proximal genes. TransCistors simple and conservative statistical models are compatible with functionally-defined target gene maps generated by existing and future technologies. Using transcriptome-wide perturbation experiments for 268 human and 134 mouse lncRNAs, we provide the first large-scale survey of cis-lncRNAs. Known cis-lncRNAs are correctly identified, including XIST, LINC00240 and UMLILO, and predictions are consistent across analysis methods, perturbation types and independent experiments. Our results indicate that cis-activity is detected in a minority of lncRNAs, primarily involving activators over repressors. Cis-lncRNAs are detected by both RNA interference and antisense oligonucleotide perturbations. Mechanistically, cis-lncRNA transcripts are observed to physically associate with their target-genes, and are weakly enriched with enhancer-elements. In summary, TransCistor establishes a quantitative foundation for cis-lncRNAs, opening a path to elucidating their molecular mechanisms and biological significance.

genomics↗

bioRxiv2022

Tissue-specific regulation of gene expression via unproductive splicing

Eukaryotic gene expression is regulated post-transcriptionally by a mechanism called unproductive splicing, in which mRNA is triggered to degradation by the nonsense-mediated decay (NMD) pathway as a result of regulated alternative splicing (AS). Only a few dozen unproductive splicing events (USEs) are currently documented, and many more remain to be identified. Here, we analyzed RNA-seq experiments from the Genotype-Tissue Expression (GTEx) Consortium to identify USEs, in which an increase in the NMD isoform splicing rate is accompanied by tissue-specific downregulation of the host gene. Further, to characterize RBPs that regulate USEs, we superimposed these results with RNA-binding protein (RBP) footprinting data and experiments on the response of the transcriptome to the perturbation of expression of a large panel of RBPs. Concordant tissue-specific changes between the expression of RBP and USE splicing rate revealed a high-confidence regulatory network including 27 tissue-specific USEs with strong evidence of RBP binding. Among them, we found previously unknown PTBP1-controlled events in the DCLK2 and IQGAP1 genes, for which we confirmed the regulatory effect using siRNA-knockdown experiments in the A549 cell line. In sum, we present a transcriptomic pipeline that allows the identification of tissue-specific USEs, potentially many more than we have reported here using stringent filters.

bioinformatics↗

bioRxiv2022

Transcriptome sequencing suggests that pre-mRNA splicing counteracts premature intronic polyadenylation

Alternative splicing (AS) and alternative polyadenylation (APA) are two crucial steps in the post-transcriptional regulation of eukaryotic gene expression. Protocols capturing and sequencing RNA 3-ends have uncovered widespread intronic polyadenylation (IPA) in normal and disease conditions, where it is currently attributed to stochastic variations in the pre-mRNA processing. Here, we took advantage of the massive amount of RNA-seq data generated by the Genotype Tissue Expression project (GTEx) to simultaneously identify and match tissue-specific expression of intronic polyadenylation sites with tissue-specific splicing. A combination of computational methods including the analysis of short reads with non-templated adenines revealed that APA events are more abundant in introns than in exons. While the rate of IPA in composite terminal exons and skipped terminal exons expectedly correlates with splicing, we observed a considerable fraction of IPA events that lack AS support and attributed them to spliced polyadenylated introns (SPI). We hypothesize that SPIs represent transient byproducts of a dynamic coupling between APA and AS, in which the spliceosome removes an intron after cleavage and polyadenylation have already occurred in it. These findings indicate that cotranscriptional pre-mRNA splicing could serve as a rescue mechanism to suppress premature transcription termination at intronic polyadenylation sites.

bioinformatics↗

bioRxiv2021

Transcriptome analysis reveals high tumor heterogeneity with respect to re-activation of stemness and proliferation programs

Significant alterations in signaling pathways and transcriptional regulatory programs together represent major hallmarks of many cancers. These, among all, include the reactivation of stemness, which is registered by the expression of pathways that are active in the embryonic stem cells (ESCs). Here, we assembled gene sets that reflect the stemness and proliferation signatures and used them to analyze a large panel of RNA-seq data from The Cancer Genome Atlas (TCGA) Consortium in order to specifically assess the expression of stemness-related and proliferation-related genes across a collection of different tumor types. We introduced a metric that captures the collective similarity of the expression profile of a tumor to that of ESCs, which showed that stemness and proliferation signatures vary greatly between different tumor types. We also observed a high degree of intertumoral heterogeneity in the expression of stemness- and proliferation-related genes, which was associated with increased hazard ratios in a fraction of tumors and mirrored by high intratumoral heterogeneity across cancer cells in single cell RNA-seq datasets. Taken together, these results indicate that the expression of stemness signatures is highly heterogeneous and cannot be used as a universal determinant of cancer. This calls into question the universal validity of diagnostic tests that are based on stem cell markers. Author summaryCancer is a deadly human disease which is characterized by uncontrolled proliferation of abnormal cells. Stemness, or the expression of stem cell markers, has been identified as a key feature for cancer progression and in many cases correlates with patient survival. In this work, we reanalyzed a large cohort of cancers from TCGA (The Cancer Genome Atlas) collection and single-cell cancer data, and found that the degree of stemness reactivation varies greatly between different tumor types, between different tumors of the same type, and also different cells within a tumor. The observed stemness heterogeneity implies that the expression of stemness markers cannot be used as a universal determinant of cancer and calls into question the validity of stemness-based tests that are frequently used for cancer diagnostics.

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bioRxiv2020

Conserved long-range RNA structures associated with pre-mRNA processing of human protein-coding genes

The ability of nucleic acids to form double-stranded structures is essential for all living systems on Earth. While DNA employs it for genome replication, RNA molecules fold into complicated secondary and tertiary structures. Current knowledge on functional RNA structures in human protein-coding genes is focused on locally-occurring base pairs. However, chemical crosslinking and proximity ligation experiments have demonstrated that long-range RNA structures are highly abundant. Here, we present the most complete to-date catalog of conserved long-range RNA structures in the human transcriptome, which consists of 916,360 pairs of conserved complementary regions (PCCRs). PCCRs tend to occur within introns proximally to splice sites, suppress intervening exons, circumscribe circular RNAs, and exert an obstructive effect on cryptic and inactive splice sites. The double-stranded structure of PCCRs is supported by a significant decrease of icSHAPE nucleotide accessibility, high abundance of A-to-I RNA editing sites, and frequent occurrence of forked eCLIP peaks nearby. Introns with PCCRs show a distinct splicing pattern in response to RNA Pol II slowdown suggesting that splicing is widely affected by co-transcriptional RNA folding. Additionally, transcript starts and ends are strongly enriched in regions between complementary parts of PCCRs, leading to an intriguing hypothesis that RNA folding coupled with splicing could mediate co-transcriptional suppression of premature cleavage and polyadenylation events. PCCR detection procedure is highly sensitive with respect to bona fide validated RNA structures at the expense of having a high false positive rate, which cannot be reduced without loss of sensitivity. The catalog of PCCRs is visualized through a UCSC Genome Browser track hub.

bioinformatics↗

bioRxiv2019

A limited set of transcriptional programs define major histological types and provide the molecular basis for a cellular taxonomy of the human body

We have produced RNA sequencing data for a number of primary cells from different locations in the human body. The clustering of these primary cells reveals that most cells in the human body share a few broad transcriptional programs, which define five major cell types: epithelial, endothelial, mesenchymal, neural and blood cells. These act as basic components of many tissues and organs. Based on gene expression, these cell types redefine the basic histological types by which tissues have been traditionally classified. We identified genes whose expression is specific to these cell types, and from these genes, we estimated the contribution of the major cell types to the composition of human tissues. We found this cellular composition to be a characteristic signature of tissues, and to reflect tissue morphological heterogeneity and histology. We identified changes in cellular composition in different tissues associated with age and sex and found that departures from the normal cellular composition correlate with histological phenotypes associated to disease. One Sentence SummaryA few broad transcriptional programs define the major cell types underlying the histology of human tissues and organs.

genomics↗