scholarly journals MAJIQ-SPEL: Web-Tool to interrogate classical and complex splicing variations from RNA-Seq data

2017 ◽  
Author(s):  
Christopher J. Green ◽  
Matthew R. Gazzara ◽  
Yoseph Barash

AbstractAnalysis of RNA sequencing (RNA-Seq) data have highlighted the fact that most genes undergo alternative splicing (AS) and that these patterns are tightly regulated. Many of these events are complex, resulting in numerous possible isoforms that quickly become difficult to visualize, interpret, and experimentally validate. To address these challenges, We developed MAJIQ-SPEL, a web-tool that takes as input local splicing variations (LSVs) quantified from RNA-Seq data and provides users with visualization and quantification of gene isoforms associated with those. Importantly, MAJIQ-SPEL is able to handle both classical (binary) and complex (non-binary) splicing variations. Using a matching primer design algorithm it also suggests users possible primers for experimental validation by RT-PCR and displays those, along with the matching protein domains affected by the LSV, on UCSC Genome Browser for further downstream analysis.Availability: Program and code will be available at http://majiq.biociphers.org/majiq-spel

2017 ◽  
Vol 34 (2) ◽  
pp. 300-302 ◽  
Author(s):  
Christopher J Green ◽  
Matthew R Gazzara ◽  
Yoseph Barash

Abstract Summary Analysis of RNA sequencing (RNA-Seq) data have highlighted the fact that most genes undergo alternative splicing (AS) and that these patterns are tightly regulated. Many of these events are complex, resulting in numerous possible isoforms that quickly become difficult to visualize, interpret and experimentally validate. To address these challenges we developed MAJIQ-SPEL, a web-tool that takes as input local splicing variations (LSVs) quantified from RNA-Seq data and provides users with visualization and quantification of gene isoforms associated with those. Importantly, MAJIQ-SPEL is able to handle both classical (binary) and complex, non-binary, splicing variations. Using a matching primer design algorithm it also suggests to users possible primers for experimental validation by RT-PCR and displays those, along with the matching protein domains affected by the LSV, on UCSC Genome Browser for further downstream analysis. Availability and implementation Program and code will be available athttp://majiq.biociphers.org/majiq-spel. Supplementary information Supplementary data are available atBioinformatics online.


2018 ◽  
Author(s):  
LM Simon ◽  
G Tsitsiridis ◽  
P Angerer ◽  
FJ Theis

AbstractMotivationThe MetaMap resource contains metatranscriptomic expression data from screening >17,000 RNA-seq samples from >400 archived human disease-related studies for viral and microbial reads, so-called “metafeatures”. However, navigating this set of large and heterogeneous data is challenging, especially for researchers without bioinformatic expertise. Therefore, a user-friendly interface is needed that allows users to visualize and statistically analyse the data.ResultsWe developed an interactive frontend to facilitate the exploration of the MetaMap resource. The webtool allows users to query the resource by searching study abstracts for keywords or browsing expression patterns for specific metafeatures. Moreover, users can manually define sample groupings or use the existing annotation for downstream analysis. The web tool provides a large variety of analyses and visualizations including dimension reduction, differential abundance analysis and Krona visualizations. The MetaMap webtool represents a valuable resource for hypothesis generation regarding the impact of the microbiome in human disease.AvailabilityThe presented web tool can be accessed at https://github.com/theislab/MetaMap


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9588 ◽  
Author(s):  
Yeonhwa Jo ◽  
Hoseong Choi ◽  
Sen Lian ◽  
Jin Kyong Cho ◽  
Hyosub Chu ◽  
...  

Background Plums are a kind of stone fruit, a category that includes peaches, cherries, apricots, and almonds. In Korea, Japanese plum trees are usually cultivated as they best suit the climate. To date, there have been few studies in Korea on viruses infecting plum trees compared to those infecting peach trees. Methods To identify viruses and viroids infecting plum trees, we collected leaf samples from six different plum cultivars and subjected them to RNA-sequencing (RNA-seq). Six different plum transcriptomes were de novo assembled using the Trinity assembler followed by BLAST searching against a viral reference database. Results We identified hop stunt viroid (HSVd) and six viruses, including apple chlorotic leaf spot virus (ACLSV), little cherry virus-1 (LChV-1), peach virus D (PeVD), peach leaf pitting-associated virus (PLPaV), plum bark necrosis stem pitting-associated virus (PBNSPaV), and prunus necrotic ringspot virus (PNRSV), from six plum cultivars by RNA-seq. RT-PCR confirmed the infection of HSVd and three viruses—ACLSV, PBNSPaV, and PNRSV—in plum trees. However, RT-PCR demonstrated that plum trees in this study were not infected by LChV-1, PeVD, or PLPaV. It is likely that the three viruses LChV-1, PeVD, and PLPaV as identified by RNA-seq were contaminants from other peach libraries caused by index misassignment, which suggests that careful confirmation by other methods should be carried out in next-generation sequencing (NGS)-based virus identification. Taken together, we identified a viroid and three viruses infecting plum trees in Korea.


2019 ◽  
Author(s):  
Jian-Feng Liu ◽  
Wen Feng ◽  
Pengju Zhao ◽  
Xianrui Zheng

Abstract Background Alternative splicing (AS) is a process that mRNA precursor splices intron to form the mature mRNA. AS plays important roles in contributing to transcriptome and proteome divert. However, to date there is no research about pig AS in genome-wide level by RNA sequencing. Results To characterize the AS in pigs, herein we detected genome-wide transcripts and events by RNA sequencing technology (RNA-seq) 34 different tissues in Duroc pigs. In total, we identified 138, 403 AS events and 29, 270 expressed genes. We found alternative donor site was the most common AS form, which is accounted for 44% of the total AS events. The percentage of the other 3 AS forms are all around 19%. The results showed that the most common AS events (alternative donor site) can produce different transcripts or different proteins which affect the biological process. Among these AS events, 109, 483 were novel AS events, and the number of alternative donor splice site has increased the most (Accounting for 44% of the novel AS events).Conclusions The expression of gene with tissue specific AS events showed that the functions of these genes were consistent with the tissue function. AS increased proteome diversity and resulted in novel proteins that gained and lost important functional domains. In summary, these findings extend genome annotation and highlight roles that AS acts in tissue identity in pig.Key words: Alternative splicing; transcript; protein; SNP


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4473-4473
Author(s):  
Guangsi Zhang ◽  
Panxiang Cao ◽  
Fang Wang ◽  
Xue Chen ◽  
Yang Zhang ◽  
...  

Abstract Background CD34, a transmembrane sialoglycoprotein, is expressed in hematopoietic stem and progenitor cells, endothelial cells, and bone marrow stromal cells. Therefore, in the clinical diagnosis and classification of leukemia, high expression of CD34 is customized as a marker for the immature phenotype. Although alternative splicing is a common oncogenic mechanism in various cancers, abnormal splicing of CD34 has not been revealed in hematological malignancies. Methods Here, we investigated the transcriptional profile of CD34, including expression level and alternative splicing, by RNA sequencing (RNA-seq) analysis from hematological malignancies and normal bone marrow samples. The raw sequencing reads were aligned to human reference genome hg38 using HISAT2, followed by featureCounts quantification, and co-expressed and differentially expressed genes (DEGs) were detected by WGCNA and DESeq2, respectively. Alternative splicing events were calculated by rMATS, and further validated by reverse transcriptase PCR (RT-PCR). Results The transcriptome characteristics of hematological malignancies, including AML, B-ALL, T-ALL, and MPAL, were elaborately investigated. We found that two accompanying novel in-frame splicing isoforms of CD34 were exclusively detected in B-ALL. Furthermore, we focused on B-ALL (n = 504) to systematically explore the transcriptional profile of CD34. The two novel splicing isoforms share a common first exon at the 5' untranslated region of CD34 (Figure 1B), suggesting an alternative promoter that mediated the splicing. We further observe that the novel aberrant CD34 isoforms are mainly accompanied by IGH-DUX4 gene fusion, which has been reported characterized by high expression of CD34 and intragenic ERG deletion. All IGH-DUX4 B-ALL cases (n = 20) in our cohort were positive with the novel aberrant CD34 isoforms and validated by RT-PCR (Figure 1A). We also validated the negative result for the aberrant CD34 isoforms in ZNF384-r (n = 32) B-ALL in our cohort, which is also characterized by high CD34 expression. According to the RNA-seq based pseudo-time analysis of our B-ALL cohort, IGH-DUX4 cases mostly tended to be common-B ALL, while ZNF384-r cases presented with more Pro-B ALL, which is also in accordance with the previous report based on immunophenotype analysis. To further discover the discrepancy between DUX4-r and ZNF384-r B-ALL subtypes, we compared DEGs and functional enrichment analysis between these two subtypes with B-other ALL as control, respectively (Figure 2). Activation of JAK-STAT signaling and downregulation of SOCS2, which acts as a negative controller of JAK-STAT signaling, were observed in both subtypes (Figure 2). The hematopoietic cell lineage gene set was enriched in ZNF384-r, consistent with its more immature phenotype. The co-expression gene network for IGH-DUX4 was constructed, and the hub gene APELA was emphasized among the closely related genes (Figure 3). Discussion In this study, we firstly identified two novel in-frame CD34 isoforms that share a common alternative first exon at its 5'UTR and are highly enriched in the IGH-DUX4 subtype B-ALL. It has been reported that intragenic focal ERG deletion is characteristically co-occurred with IGH-DUX4, and ERG targets CD34 through regulates its super-enhancer to affect the transcription program. It needs further investigation whether ERG deletion contributes to the aberrant transcription of CD34 in IGH-DUX4 subtype B-ALL. We also emphasized APELA as a hub gene in the transcription regulation network of IGH-DUX4. As it currently lacks effective targeted therapy for IGH-DUX4 subtype B-ALL, the potential therapeutic significance of the closely accompanied aberrant CD34 isoforms and APELA as a hub gene deserves further investigation. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2018 ◽  
Author(s):  
Yang Liao ◽  
Gordon K. Smyth ◽  
Wei Shi

AbstractThe first steps in the analysis of RNA sequencing (RNA-seq) data are usually to map the reads to a reference genome and then to count reads by gene, by exon or by exon-exon junction. These two steps are at once the most common and also typically the most expensive computational steps in an RNA-seq analysis. These steps are typically undertaken using Unix command-line or Python software tools, even when downstream analysis is to be undertaken using R.We present Rsubread, a Bioconductor software package that provides high-performance alignment and counting functions for RNA-seq reads. Rsubread provides the ease-of-use of the R programming environment, creating a matrix of read counts directly as an R object ready for downstream analysis. It has no software dependencies other than R itself. Using SEQC data and simulations, we compare Rsubread to the popular non-R tools TopHat2, STAR and HTSeq. We also compare to counting functions provided in the Bioconductor infrastructure packages. We show that Rsubread is faster, uses less memory and produces read count summaries that more accurately correlate with true values. The results show that users can adopt the R environment for alignment and quantification without suffering any loss of performance.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jingli Yang ◽  
Wanqiu Lv ◽  
Liying Shao ◽  
Yanrui Fu ◽  
Haimei Liu ◽  
...  

In eukaryotes, alternative splicing (AS) is a crucial regulatory mechanism that modulates mRNA diversity and stability. The contribution of AS to stress is known in many species related to stress, but the posttranscriptional mechanism in poplar under cold stress is still unclear. Recent studies have utilized the advantages of single molecular real-time (SMRT) sequencing technology from Pacific Bioscience (PacBio) to identify full-length transcripts. We, therefore, used a combination of single-molecule long-read sequencing and Illumina RNA sequencing (RNA-Seq) for a global analysis of AS in two poplar species (Populus trichocarpa and P. ussuriensis) under cold stress. We further identified 1,261 AS events in P. trichocarpa and 2,101 in P. ussuriensis among which intron retention, with a frequency of more than 30%, was the most prominent type under cold stress. RNA-Seq data analysis and annotation revealed the importance of calcium, abscisic acid, and reactive oxygen species signaling in cold stress response. Besides, the low temperature rapidly induced multiple splicing factors, transcription factors, and differentially expressed genes through AS. In P. ussuriensis, there was a rapid occurrence of AS events, which provided a new insight into the complexity and regulation of AS during cold stress response in different poplar species for the first time.


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.


2021 ◽  
Vol 22 (17) ◽  
pp. 9349
Author(s):  
Nicole Rachinger ◽  
Stefan Fischer ◽  
Ines Böhme ◽  
Lisa Linck-Paulus ◽  
Silke Kuphal ◽  
...  

Molecular analyses of normal and diseased cells give insight into changes in gene expression and help in understanding the background of pathophysiological processes. Years after cDNA microarrays were established in research, RNA sequencing (RNA-seq) became a key method of quantitatively measuring the transcriptome. In this study, we compared the detection of genes by each of the transcriptome analysis methods: cDNA array, quantitative RT-PCR, and RNA-seq. As expected, we found differences in the gene expression profiles of the aforementioned techniques. Here, we present selected genes that exemplarily demonstrate the observed differences and calculations to reveal that a strong RNA secondary structure, as well as sample preparation, can affect RNA-seq. In summary, this study addresses an important issue with a strong impact on gene expression analysis in general. Therefore, we suggest that these findings need to be considered when dealing with data from transcriptome analyses.


2017 ◽  
Author(s):  
◽  
Olha Kholod

Background: B-cell acute lymphoblastic leukemia (B-ALL) is a neoplasm of immature lymphoid progenitors and is the leading cause of cancer-related death in children. The majority of B-ALL cases are characterized by recurring structural chromosomal rearrangements that are crucial for triggering leukemogenesis, but do not explain all incidences of disease. Therefore, other molecular mechanisms, such as alternative splicing and epigenetic regulation may alter expression of transcripts that are associated with the development of B-ALL. To determine differentially expressed and spliced RNA transcripts in precursor B-cell acute lymphoblastic leukemia patients a high throughput RNA-seq analysis was performed. Methods: Eight B-ALL patients and eight healthy donors were analyzed by RNA-seq analysis. Statistical testing was performed in edgeR. Each annotated gene was mapped to its corresponding gene object in the Ingenuity KB. Analysis of RNA-seq data for splicing alterations in B-ALL patients and healthy donors was performed with custom Perl script. Results: Using edgeR analysis, 3877 DE genes between B-ALL patients and healthy donors based on TMM (trimmed mean of M-values) normalization method and false discovery rate, FDR less than 0.01, logarithmically transformed fold changes, logFC greater than 2) were identified. IPA revealed abnormal activation of ERBB2, TGFB1 and IL2 transcriptional factors that are crucial for maintaining proliferation and survival potential of leukemic 26 cells. B-ALL specific isoforms were observed for genes with roles in important canonical signaling pathways, such as oxidative phosphorylation and mitochondrial dysfunction. A mechanistic study with the Nalm 6 cell line revealed that some of these gene isoforms significantly change their expression upon 5-Aza treatment, suggesting that they may be epigenetically regulated in B-ALL. Conclusion: Our data provide new insights and perspectives on the regulation of the transcriptome in B-ALL. In addition, we identified transcript isoforms and pathways that may play key roles in the pathogenesis of B-ALL. These results further our understanding of the transcriptional regulation associated with B-ALL development and will contribute to the development of novel strategies aimed towards improving diagnosis and managing patients with B-ALL. Keywords: B-ALL, RNA-sequencing, differential gene expression, alternative splicing.


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