scholarly journals Genome-wide transcriptome analysis identifies alternative splicing regulatory network and key splicing factors in mouse and human psoriasis

2018 ◽  
Author(s):  
Jin Li ◽  
Peng Yu

AbstractPsoriasis is a chronic inflammatory disease that affects the skin, nails, and joints. For understanding the mechanism of psoriasis, though, alternative splicing analysis has received relatively little attention in the field. Here, we developed and applied several computational analysis methods to study psoriasis. Using psoriasis mouse and human datasets, our differential alternative splicing analyses detected hundreds of differential alternative splicing changes. Our analysis of conservation revealed many exon-skipping events conserved between mice and humans. In addition, our splicing signature comparison analysis using the psoriasis datasets and our curated splicing factor perturbation RNA-Seq database, SFMetaDB, identified nine candidate splicing factors that may be important in regulating splicing in the psoriasis mouse model dataset. Three of the nine splicing factors were confirmed upon analyzing the human data. Our computational methods have generated predictions for the potential role of splicing in psoriasis. Future experiments on the novel candidates predicted by our computational analysis are expected to provide a better understanding of the molecular mechanism of psoriasis and to pave the way for new therapeutic treatments.

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


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 188 ◽  
Author(s):  
Liliana Florea ◽  
Li Song ◽  
Steven L Salzberg

Alternative splicing is widely recognized for its roles in regulating genes and creating gene diversity. However, despite many efforts, the repertoire of gene splicing variation is still incompletely characterized, even in humans. Here we describe a new computational system, ASprofile, and its application to RNA-seq data from Illumina’s Human Body Map project (>2.5 billion reads).  Using the system, we identified putative alternative splicing events in 16 different human tissues, which provide a dynamic picture of splicing variation across the tissues. We detected 26,989 potential exon skipping events representing differences in splicing patterns among the tissues. A large proportion of the events (>60%) were novel, involving new exons (~3000), new introns (~16000), or both. When tracing these events across the sixteen tissues, only a small number (4-7%) appeared to be differentially expressed (‘switched’) between two tissues, while 30-45% showed little variation, and the remaining 50-65% were not present in one or both tissues compared.  Novel exon skipping events appeared to be slightly less variable than known events, but were more tissue-specific. Our study represents the first effort to build a comprehensive catalog of alternative splicing in normal human tissues from RNA-seq data, while providing insights into the role of alternative splicing in shaping tissue transcriptome differences. The catalog of events and the ASprofile software are freely available from the Zenodo repository(http://zenodo.org/record/7068; doi:10.5281/zenodo.7068) and from our web site http://ccb.jhu.edu/software/ASprofile.


2019 ◽  
Author(s):  
Junqing Wang ◽  
Yixin Chen ◽  
Keli Xu ◽  
Yin-yuan Mo ◽  
Yunyun Zhou

AbstractA number of recent studies have highlighted the findings that certain lncRNAs are associated with alternative splicing (AS) in tumorigenesis and progression. Although existing work showed the importance of linking certain misregulations of RNA splicing with lncRNAs, a primary concern is the lack of genome-wide comprehensive analysis for their associations.We analyzed an extensive collection of RNA-seq data, quantified 198,619 isoform expressions, and found systematic isoform usage changes between hepatocellular carcinoma (HCC) and normal liver tissue. We identified a total of 1375 splicing switched isoforms and further analyzed their biological functions.To predict which lncRNAs are associated with these AS genes, we integrated the co-expression networks and epigenetic interaction networks collected from text mining and database searching, linking lncRNA modulators such as splicing factors, transcript factors, and miRNAs with their targeted AS genes in HCC. To model the heterogeneous networks in a single framework, we developed a multi-graphic random walk (RWMG) network method to prioritize the lncRNAs associated with AS in HCC. RWMG showed a good performace evaluated by ROC curve based on cross-validation and bootstrapping strategy.As a summary, we identified 31 AS-related lncRNAs including MALAT1 and HOXA11-AS, which have been reported before, as well as some novel lncRNAs such as DNM1P35, HAND2-AS1, and DLX6-AS1. Survival analysis further confirmed the clinical significance of identified lncRNAs.


2019 ◽  
Vol 20 (16) ◽  
pp. 3977 ◽  
Author(s):  
Rukeia El-Athman ◽  
Dora Knezevic ◽  
Luise Fuhr ◽  
Angela Relógio

Mounting evidence points to a role of the circadian clock in the temporal regulation of post-transcriptional processes in mammals, including alternative splicing (AS). In this study, we carried out a computational analysis of circadian and ultradian rhythms on the transcriptome level to characterise the landscape of rhythmic AS events in published datasets covering 76 tissues from mouse and olive baboon. Splicing-related genes with 24-h rhythmic expression patterns showed a bimodal distribution of peak phases across tissues and species, indicating that they might be controlled by the circadian clock. On the output level, we identified putative oscillating AS events in murine microarray data and pairs of differentially rhythmic splice isoforms of the same gene in baboon RNA-seq data that peaked at opposing times of the day and included oncogenes and tumour suppressors. We further explored these findings using a new circadian RNA-seq dataset of human colorectal cancer cell lines. Rhythmic isoform expression patterns differed between the primary tumour and the metastatic cell line and were associated with cancer-related biological processes, indicating a functional role of rhythmic AS that might be implicated in tumour progression. Our data shows that rhythmic AS events are widespread across mammalian tissues and might contribute to a temporal diversification of the proteome.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 188 ◽  
Author(s):  
Liliana Florea ◽  
Li Song ◽  
Steven L Salzberg

Alternative splicing is widely recognized for its roles in regulating genes and creating gene diversity. However, despite many efforts, the repertoire of gene splicing variation is still incompletely characterized, even in humans. Here we describe a new computational system, ASprofile, and its application to RNA-seq data from Illumina’s Human Body Map project (>2.5 billion reads).  Using the system, we identified putative alternative splicing events in 16 different human tissues, which provide a dynamic picture of splicing variation across the tissues. We detected 26,989 potential exon skipping events representing differences in splicing patterns among the tissues. A large proportion of the events (>60%) were novel, involving new exons (~3000), new introns (~16000), or both. When tracing these events across the sixteen tissues, only a small number (4-7%) appeared to be differentially expressed (‘switched’) between two tissues, while 30-45% showed little variation, and the remaining 50-65% were not present in one or both tissues compared.  Novel exon skipping events appeared to be slightly less variable than known events, but were more tissue-specific. Our study represents the first effort to build a comprehensive catalog of alternative splicing in normal human tissues from RNA-seq data, while providing insights into the role of alternative splicing in shaping tissue transcriptome differences. The catalog of events and the ASprofile software are freely available from the Zenodo repository(http://zenodo.org/record/7068; doi:10.5281/zenodo.7068) and from our web site http://ccb.jhu.edu/software/ASprofile.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Christian Secchi ◽  
Paola Benaglio ◽  
Francesca Mulas ◽  
Martina Belli ◽  
Dwayne Stupack ◽  
...  

Abstract Background Adult granulosa cell tumor (aGCT) is a rare type of stromal cell malignant cancer of the ovary characterized by elevated estrogen levels. aGCTs ubiquitously harbor a somatic mutation in FOXL2 gene, Cys134Trp (c.402C < G); however, the general molecular effect of this mutation and its putative pathogenic role in aGCT tumorigenesis is not completely understood. We previously studied the role of FOXL2C134W, its partner SMAD3 and its antagonist FOXO1 in cellular models of aGCT. Methods In this work, seeking more comprehensive profiling of FOXL2C134W transcriptomic effects, we performed an RNA-seq analysis comparing the effect of FOXL2WT/SMAD3 and FOXL2C134W/SMAD3 overexpression in an established human GC line (HGrC1), which is not luteinized, and bears normal alleles of FOXL2. Results Our data shows that FOXL2C134W/SMAD3 overexpression alters the expression of 717 genes. These genes include known and novel FOXL2 targets (TGFB2, SMARCA4, HSPG2, MKI67, NFKBIA) and are enriched for neoplastic pathways (Proteoglycans in Cancer, Chromatin remodeling, Apoptosis, Tissue Morphogenesis, Tyrosine Kinase Receptors). We additionally expressed the FOXL2 antagonistic Forkhead protein, FOXO1. Surprisingly, overexpression of FOXO1 mitigated 40% of the altered genome-wide effects specifically related to FOXL2C134W, suggesting it can be a new target for aGCT treatment. Conclusions Our transcriptomic data provide novel insights into potential genes (FOXO1 regulated) that could be used as biomarkers of efficacy in aGCT patients.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pihua Han ◽  
Jingjun Zhu ◽  
Guang Feng ◽  
Zizhang Wang ◽  
Yanni Ding

Abstract Background Breast cancer (BRCA) is one of the most common cancers worldwide. Abnormal alternative splicing (AS) frequently observed in cancers. This study aims to demonstrate AS events and signatures that might serve as prognostic indicators for BRCA. Methods Original data for all seven types of splice events were obtained from TCGA SpliceSeq database. RNA-seq and clinical data of BRCA cohorts were downloaded from TCGA database. Survival-associated AS events in BRCA were analyzed by univariate COX proportional hazards regression model. Prognostic signatures were constructed for prognosis prediction in patients with BRCA based on survival-associated AS events. Pearson correlation analysis was performed to measure the correlation between the expression of splicing factors (SFs) and the percent spliced in (PSI) values of AS events. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted to demonstrate pathways in which survival-associated AS event is enriched. Results A total of 45,421 AS events in 21,232 genes were identified. Among them, 1121 AS events in 931 genes significantly correlated with survival for BRCA. The established AS prognostic signatures of seven types could accurately predict BRCA prognosis. The comprehensive AS signature could serve as independent prognostic factor for BRCA. A SF-AS regulatory network was therefore established based on the correlation between the expression levels of SFs and PSI values of AS events. Conclusions This study revealed survival-associated AS events and signatures that may help predict the survival outcomes of patients with BRCA. Additionally, the constructed SF-AS networks in BRCA can reveal the underlying regulatory mechanisms in BRCA.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 37-38
Author(s):  
Hussein A Abbas ◽  
Feng Wang ◽  
Yue Wei ◽  
Hui Yang ◽  
Guillermo Montalban Bravo ◽  
...  

Background: Aberrant mRNA splicing occurs in myeloid malignancies and affects genes involved in tumor suppression, heme biosynthesis and mitochondrial iron metabolism. Functional studies demonstrated impaired cellular differentiation upon targeting of aberrant splice variants. Hypomethylating agents (HMA) constitute the backbone of therapy of myeloid malignancies. Whether HMA treatment in myeloid malignancies alters the novel splicing transcriptional landscape and whether it correlates with responses remain largely unexplored. Methods: Total RNA sequencing was done on CD34+ cells from 79 patients bone marrow samples involved by acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), chronic myelomonocytic leukemia (CMML), TF1 cell lines and CD34+ murine bone marrow cells. Novel alternatively spliced transcripts were detected using SplAdder and included the following splicing events: alterative 3' splice junction, alternative 5' splice junction, exon skipping, intron retention, multiple exon skipping and mutually exclusive exons. All alternatively splicing events were normalized to total transcript count in order to correct for total transcript levels. A false discovery rate of &lt;0.1 was used to identify significant events. Results: A total of 79 myeloid disease patients (27.8% females, 72.1% males) with a median age of 70 years (range, 31-87 years) were included in this study. In aggregate analysis of all 79 myeloid malignancies (39.2% (n=31) pre-treatment and 60.8% (n=48) post-treatment), there were 160 versus 37 (4.3 folds), 112 versus 40 (2.8 folds), 292 versus 51 (5.7 folds), 172 versus 80 (2.1 folds) and 29 versus 9 (3.2 folds) and 2 versus 0 novel splicing events occurring in pre- versus post- HMA treatment, respectively, in alterative 3' splice junction, alternative 5' splice junction, exon skipping, intron retention, multiple exon skipping and mutually exclusive exons, respectively. This suggested that treatment with HMA led to downregulation of novel alternative splicing events after normalization to total transcripts. However, upon excluding AML patients from the analysis, there were no significant events associated with treatment suggesting that the findings could be due to random events. To further explore whether HMA therapy influenced novel splicing events, we examined the novel splicing pattern in 7 MDS patients with paired BM samples at pre- and post-HMA and found no significant differences in alternative splicing events before and after the treatment. We then examined TF1 (human erythroleukemia) cell lines at pre- and post- HMA time points, but did not identify notable differences in the novel alternative splicing events with respect to HMA treatment. To assess whether CD34+ bone marrow cells from mice treated with hypomethylating agents have differential novel alternatively spliced events, we conducted similar analysis and did not find any discernible differences pre- and post- HMA treatment. These findings suggest that HMA does not influence novel alternative splicing events. Conclusions: Aberrant splicing has been linked to myeloid neoplasms especially myelodysplastic syndrome with mutations in splice variant genes. Our findings suggest that HMA does not influence novel alternative splicing events in myeloid malignancies. Therefore, the alternative splicing in myeloid disease is inherent to the disease and not affected by treatment. Disclosures Garcia-Manero: H3 Biomedicine: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Merck: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Onconova: Research Funding; Acceleron Pharmaceuticals: Consultancy, Honoraria; Amphivena Therapeutics: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Helsinn Therapeutics: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy; Astex Pharmaceuticals: Consultancy, Honoraria, Research Funding; AbbVie: Honoraria, Research Funding.


2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Jing Shen ◽  
Shuang Wang ◽  
Abby B. Siegel ◽  
Helen Remotti ◽  
Qiao Wang ◽  
...  

Background.Previous studies, including ours, have examined the regulation of microRNAs (miRNAs) by DNA methylation, but whether this regulation occurs at a genome-wide level in hepatocellular carcinoma (HCC) is unclear.Subjects/Methods.Using a two-phase study design, we conducted genome-wide screening for DNA methylation and miRNA expression to explore the potential role of methylation alterations in miRNAs regulation.Results.We found that expressions of 25 miRNAs were statistically significantly different between tumor and nontumor tissues and perfectly differentiated HCC tumor from nontumor. Six miRNAs were overexpressed, and 19 were repressed in tumors. Among 133 miRNAs with inverse correlations between methylation and expression, 8 miRNAs (6%) showed statistically significant differences in expression between tumor and nontumor tissues. Six miRNAs were validated in 56 additional paired HCC tissues, and significant inverse correlations were observed for miR-125b and miR-199a, which is consistent with the inactive chromatin pattern found in HepG2 cells.Conclusion.These data suggest that the expressions of miR-125b and miR-199a are dramatically regulated by DNA hypermethylation that plays a key role in hepatocarcinogenesis.


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