scholarly journals AS-Quant: Detection and Visualization of Alternative Splicing Events with RNA-seq Data

2021 ◽  
Vol 22 (9) ◽  
pp. 4468
Author(s):  
Naima Ahmed Fahmi ◽  
Heba Nassereddeen ◽  
Jaewoong Chang ◽  
Meeyeon Park ◽  
Hsinsung Yeh ◽  
...  

(1) Background: A simplistic understanding of the central dogma falls short in correlating the number of genes in the genome to the number of proteins in the proteome. Post-transcriptional alternative splicing contributes to the complexity of the proteome and is critical in understanding gene expression. mRNA-sequencing (RNA-seq) has been widely used to study the transcriptome and provides opportunity to detect alternative splicing events among different biological conditions. Despite the popularity of studying transcriptome variants with RNA-seq, few efficient and user-friendly bioinformatics tools have been developed for the genome-wide detection and visualization of alternative splicing events. (2) Results: We propose AS-Quant, (Alternative Splicing Quantitation), a robust program to identify alternative splicing events from RNA-seq data. We then extended AS-Quant to visualize the splicing events with short-read coverage plots along with complete gene annotation. The tool works in three major steps: (i) calculate the read coverage of the potential spliced exons and the corresponding gene; (ii) categorize the events into five different categories according to the annotation, and assess the significance of the events between two biological conditions; (iii) generate the short reads coverage plot for user specified splicing events. Our extensive experiments on simulated and real datasets demonstrate that AS-Quant outperforms the other three widely used baselines, SUPPA2, rMATS, and diffSplice for detecting alternative splicing events. Moreover, the significant alternative splicing events identified by AS-Quant between two biological contexts were validated by RT-PCR experiment. (3) Availability: AS-Quant is implemented in Python 3.0. Source code and a comprehensive user’s manual are freely available online.

Author(s):  
Naima Ahmed Fahmi ◽  
Hsin-Sung Yeh ◽  
Jae-Woong Chang ◽  
Heba Nassereddeen ◽  
Deliang Fan ◽  
...  

AbstractA simplistic understanding of the central dogma falls short in correlating the number of genes in the genome to the number of proteins in the proteome. Post-transcriptional alternative splicing contributes to the complexity of proteome and are critical in understanding gene expression. mRNA-sequencing (RNA-seq) has been widely used to study the transcriptome and provides opportunity to detect alternative splicing events among different biological conditions. Despite the popularity of studying transcriptome variants with RNA-seq, few efficient and user-friendly bioinformatics tools have been developed for the genome-wide detection and visualization of alternative splicing events. We have developed AS-Quant (Alternative Splicing Quantitation), a robust program to identify alternative splicing events and visualize the short-read coverage with gene annotations. AS-Quant works in three steps: (i) calculate the read coverage of the potential splicing exons and the corresponding gene; (ii) categorize the splicing events into five different types based on annotation, and assess the significance of the events between two biological conditions; (iii) generate the short reads coverage plot with a complete gene annotation for user specified splicing events. To evaluate the performance, two significant alternative splicing events identified by AS-Quant between two biological contexts were validated by RT-PCR.ImplementationAS-Quant is implemented in Python. Source code and a comprehensive user’s manual are freely available at https://github.com/CompbioLabUCF/AS-Quant


2018 ◽  
Author(s):  
Luca Denti ◽  
Raffaella Rizzi ◽  
Stefano Beretta ◽  
Gianluca Della Vedova ◽  
Marco Previtali ◽  
...  

AbstractBackground: While the reconstruction of transcripts from a sample of RNA-Seq data is a computationally expensive and complicated task, the detection of splicing events from RNA-Seq data and a gene annotation is computationally feasible. The latter task, which is adequate for many transcriptome analyses, is usually achieved by aligning the reads to a reference genome, followed by comparing the alignments with a gene annotation, often implicitly represented by a graph: the splicing graph.Results: We present ASGAL (Alternative Splicing Graph ALigner): a tool for mapping RNA-Seq data to the splicing graph, with the main goal of detecting novel alternative splicing events. ASGAL receives in input the annotated transcripts of a gene and an RNA-Seq sample, and it computes (1) the spliced alignments of each read, and (2) a list of novel events with respect to the gene annotation.Conclusions: An experimental analysis shows that, by aligning reads directly to the splicing graph, ASGAL better predicts alternative splicing events when compared to tools requiring spliced alignments of the RNA-Seq data to a reference genome. To the best of our knowledge, ASGAL is the first tool that detects novel alternative splicing events by directly aligning reads to a splicing graph.Availability: Source code, documentation, and data are available for download at http://asgal.algolab.eu.


2019 ◽  
Author(s):  
Jing Leng ◽  
Christopher JF Cameron ◽  
Sunghee Oh ◽  
James P Noonan ◽  
Mark B Gerstein

Alternative splicing, which can be observed genome-wide by RNA-Seq, is important in cellular development and evolution. Comparative RNA-Seq experiments between different cellular conditions allow alternative splicing signatures to be detected. However, inferring alternative splicing signatures from short-read technology is unreliable and still presents many challenges before biologically significant signatures may be identified. To enable the robust discovery of differential alternative splicing, we developed the Local Event-based analysis of alternative Splicing using RNA-Seq (LESSeq) pipeline. LESSeq utilizes information of local splicing events (i.e., the partial structures in genes where transcript-splicing patterns diverge) to identify unambiguous alternative splicing. In addition, LESSeq quantifies the abundance of these alternative events using Maximum Likelihood Estimation (MLE) and provides their significance between different cellular conditions. The utility of LESSeq is demonstrated through two case studies relevant to human variation and evolution. Using an RNA-Seq data set of lymphoblastoid cell lines in two human populations, we examined within-species variation and discovered population-differential alternative splicing events. With an RNA-Seq data set of several tissues in human and rhesus macaque, we studied cross-species variation and identified lineage-differential alternative splicing events. LESSeq is implemented in C++ and R, and made publicly available on GitHub at: https://github.com/gersteinlab/LESSeq


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 978-978
Author(s):  
Harold Pimentel ◽  
Jie Li ◽  
Marilyn Parra ◽  
Dana Ghanem ◽  
Sherry Gee ◽  
...  

Abstract Abstract 978 Alternative pre-mRNA splicing plays a major role in development and differentiation by re-modeling the transcriptome to generate mRNAs that encode the biologically appropriate cell type-specific proteome. Earlier studies employing RT-PCR and exon microarrays demonstrated a small number of splicing changes during erythroid differentiation, one of which (in protein 4.1R) is critical for mechanical stability of the membrane skeleton. Here we report that the landscape of splicing changes executed during terminal erythropoiesis is far more extensive and highly dynamic, ultimately affecting the expression of many more proteins than previously recognized. Highly purified populations of FACS-sorted cells representing erythroblasts at distinct stages during terminal erythroid differentiation from proerythroblasts to orthochromatic erythroblasts of both human and mouse origin were used as the source of RNA for RNA-seq analysis. In total, hundreds of millions of sequence reads were obtained from three biological replicates for four (mouse) or five (human) cell populations, and reads were aligned to the Ensembl-annotated transcriptome using the Bowtie aligner. Transcript-level estimates were obtained using the streaming transcript abundance estimation tool, eXpress, expression of individual exons in “exon-inclusion” isoforms relative to total isoforms was represented as Ψ (psi), or percent spliced in, and statistical significance estimates adjusted for multiple comparisons by the Benjamini-Hochberg method. Thousands of alternative splicing events were predicted in genes with diverse functions in transcription, RNA processing, protein synthesis, membrane receptors, cytoskeletal structure, etc. Initial RT-PCR studies indicate that a high proportion of predicted alternative splicing events can be validated. Comparison of Ψ values across the differentiation series revealed that hundreds of alternative exons in erythroid transcripts exhibit substantial differences in splicing efficiency between proerythroblasts and orthrochromatic erythroblasts (ΔΨ>20%), suggesting that their splicing efficiency is regulated. Both increases and decreases in exon splicing efficiency were observed, indicating that multiple splicing regulatory pathways are active and that both splicing enhancer and splicing silencer factors are involved in the regulation. Interestingly, some of the splicing switches introduce premature translation termination codons, leading us to hypothesize that splicing-coupled nonsense mediated decay may down-regulate expression of a class of erythroid transcripts. To begin exploring mechanisms that regulate the late erythroid alternative splicing program, we used the RNA-seq data to derive differentiation stage-specific expression profiles of known splicing factors. Major changes in the expression profile of many splicing regulators were observed. hnRNPA1 was strongly down-regulated in late erythroblasts, in concert with up-regulation of the protein 4.1R splicing switch it has been shown to inhibit. Because many other exons are up-regulated with similar kinetics, hnRNPA1 may be a general inhibitor of alternative splicing in early erythroblasts. In contrast, RNA-seq data indicate that several other splicing factors including MBNL1, a known splicing factor in muscle and brain whose activity is disturbed in myotonic dystrophy, are substantially up-regulated in late erythropoiesis. We conclude that a highly dynamic alternative splicing program in terminally differentiating erythroblasts, in conjunction with the better studied transcriptional program, plays a major role in regulating gene expression to insure synthesis of the appropriate constellation of proteins both quantitatively and qualitatively as the cells are remodeled in preparation for production of mature red cells. Disclosures: No relevant conflicts of interest to declare.


2005 ◽  
Vol 6 (Suppl 4) ◽  
pp. S20 ◽  
Author(s):  
Luciano Milanesi ◽  
Mauro Petrillo ◽  
Leandra Sepe ◽  
Angelo Boccia ◽  
Nunzio D'Agostino ◽  
...  

Viruses ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2409
Author(s):  
Weiwei Liu ◽  
Yingjie Sun ◽  
Xusheng Qiu ◽  
Chunchun Meng ◽  
Cuiping Song ◽  
...  

The chicken is a model animal for the study of evolution, immunity and development. In addition to their use as a model organism, chickens also represent an important agricultural product. Pathogen invasion has already been shown to modulate the expression of hundreds of genes, but the role of alternative splicing in avian virus infection remains unclear. We used RNA-seq data to analyze virus-induced changes in the alternative splicing of Gallus gallus, and found that a large number of alternative splicing events were induced by virus infection both in vivo and in vitro. Virus-responsive alternative splicing events preferentially occurred in genes involved in metabolism and transport. Many of the alternatively spliced transcripts were also expressed from genes with a function relating to splicing or immune response, suggesting a potential impact of virus infection on pre-mRNA splicing and immune gene regulation. Moreover, exon skipping was the most frequent AS event in chickens during virus infection. This is the first report describing a genome-wide analysis of alternative splicing in chicken and contributes to the genomic resources available for studying host–virus interaction in this species. Our analysis fills an important knowledge gap in understanding the extent of genome-wide alternative splicing dynamics occurring during avian virus infection and provides the impetus for the further exploration of AS in chicken defense signaling and homeostasis.


PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e93983 ◽  
Author(s):  
Alessandra Perfetti ◽  
Simona Greco ◽  
Pasquale Fasanaro ◽  
Enrico Bugiardini ◽  
Rosanna Cardani ◽  
...  

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