scholarly journals Targeted RNA-Seq profiling of splicing pattern in the DMD gene: exons are mostly constitutively spliced in human skeletal muscle

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Anne-Laure Bougé ◽  
Eva Murauer ◽  
Emmanuelle Beyne ◽  
Julie Miro ◽  
Jessica Varilh ◽  
...  

Abstract We have analysed the splicing pattern of the human Duchenne Muscular Dystrophy (DMD) transcript in normal skeletal muscle. To achieve depth of coverage required for the analysis of this lowly expressed gene in muscle, we designed a targeted RNA-Seq procedure that combines amplification of the full-length 11.3 kb DMD cDNA sequence and 454 sequencing technology. A high and uniform coverage of the cDNA sequence was obtained that allowed to draw up a reliable inventory of the physiological alternative splicing events in the muscular DMD transcript. In contrast to previous assumptions, we evidenced that most of the 79 DMD exons are constitutively spliced in skeletal muscle. Only a limited number of 12 alternative splicing events were identified, all present at a very low level. These include previously known exon skipping events but also newly described pseudoexon inclusions and alternative 3′ splice sites, of which one is the first functional NAGNAG splice site reported in the DMD gene. This study provides the first RNA-Seq-based reference of DMD splicing pattern in skeletal muscle and reports on an experimental procedure well suited to detect condition-specific differences in this low abundance transcript that may prove useful for diagnostic, research or RNA-based therapeutic applications.

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 638-638 ◽  
Author(s):  
Naim Rashid ◽  
Stephane Minvielle ◽  
Florence Magrangeas ◽  
Mehmet Kemal Samur ◽  
Alice Clynen ◽  
...  

Abstract Alternative splicing is an important post-translational change that alters gene function. Misregulation of alternative splicing has been implicated in number of disease processes including cancer. Here we have analyzed alternative splicing in myeloma using high throughput RNA-seq. Our analytic pipeline for RNA-seq data used in this investigation not only provides information on expression levels for genes, but also provides information on the expression of known splice variants of genes (isoforms), and can identify novel exon level events across individuals (i.e. exon skipping events). We conducted a study of 328 newly-diagnosed patients with multiple myeloma treated homogeneously with novel agent combination containting lenalidomide, bortezomib and dexamethsone with or without high-dose melphalan followed by lenalidomide maintenance in the IFM/DFCI study. RNA isolated from purified CD138+ MM cells collected at the time of diagnosis and from 18 normal donor plasma cells were processed by RNA-seq (100 million paired end reads on Illumina HiSeq) and analyzed using a custom computational and statistical pipeline. Following read alignment to hg19, we utilized RSEM to quantify both gene-level and isoform-level expression of known ENSEMBL transcripts. We then implemented a novel testing approach based on compositional regression to discover genes that show significant isoform switching between the 328 MM samples and 18 Normal Plasma Cell (NPC) samples from healthy donors. Using various programs and their modifications, we also identified novel alternative splicing events, such as exon skipping and mutually exclusive exon usage, among others. Patient data for MM characteristics, cytogenetic and FISH as well as clinical survival outcomes were also analyzed and correlated with genomic data. We observed over 600 genes showing significant changes in relative isoform abundances (isoform switching) between MM and normal samples. A number of previously characterized genes including MYCL1 (adj. p = 0.0014) and CCND3 (adj. p = 0.0013), and MAP kinase-related genes (MAP3K8, MAPKAPK2, MAPKAPK3, MAP4K4) exhibited significant isoform switching compared to normal, in addition to some not well characterized genes. Genes showing the greatest magnitude of isoform switching include MEFV (adj. p = 2.7 x 10-5), showing a two fold change in the relative major isoform abundance compared to normal, and has been previously shown to have a role in lymphoid neoplasms. We applied hierarchical clustering to the isoforms showing significant changes in isoform-switching and identified 4 distinct clusters, which are currently being investigated for correlation with clinical subtypes of MM. Exon level analyses of alternative splicing events, such as exon skipping, are currently underway. Clinical data including MM characteristics, cytogenetics, FISH and survival outcomes was available for a subset of 265 patients. We found that 109 genes showed significant isoform switching between t(4;14) and non-t(4;14) patients, such as CD44 (adj. p =1.8 x 10-6) and WHSC1 (adj. p =5.1 x 10-28). Comparing del17p (28 in total) and non del17p patients, we found no significant splicing changes after multiple testing adjustment. Of these genes, only a subset (40%) were shown to be differentially expressed in terms of total gene expression, suggesting the importance of examining alternative splicing events in addition to total gene expression. With respect to treatment response, we compared the expression of gene isoforms between patients achieving complete response (CR) versus others and identified 38 isoforms associated with response to treatment (adj. p value < 0.05), with SEPT9, SLC2A5, and UBX6 having the strongest associations (adj. p-value < 3 x 10-4). Using a univariate cox regression model, 4 spliced isoforms relating to 3 genes were identified as having significant correlation with event-free survival (EFS) (FDR-adjusted cox p value < 0.05). We are in the process of now integrating the gene expression data with altered splicing data to develop an integrated survival model. In summary, this study highlights the significant frequency, biological and clinical importance of alternative splicing in MM and points to the need for evaluation of not only the expression level of genes but also post-translational modifications. The genes identified here are important targets for therapy as well as possible immune modulation. Disclosures Moreau: Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Anne-Laure Bougé ◽  
Eva Murauer ◽  
Emmanuelle Beyne ◽  
Julie Miro ◽  
Jessica Varilh ◽  
...  

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.


2020 ◽  
Vol 10 (10) ◽  
pp. 3797-3810
Author(s):  
Manishi Pandey ◽  
Gary D. Stormo ◽  
Susan K. Dutcher

Genome-wide analysis of transcriptome data in Chlamydomonas reinhardtii shows periodic patterns in gene expression levels when cultures are grown under alternating light and dark cycles so that G1 of the cell cycle occurs in the light phase and S/M/G0 occurs during the dark phase. However, alternative splicing, a process that enables a greater protein diversity from a limited set of genes, remains largely unexplored by previous transcriptome based studies in C. reinhardtii. In this study, we used existing longitudinal RNA-seq data obtained during the light-dark cycle to investigate the changes in the alternative splicing pattern and found that 3277 genes (19.75% of 17,746 genes) undergo alternative splicing. These splicing events include Alternative 5′ (Alt 5′), Alternative 3′ (Alt 3′) and Exon skipping (ES) events that are referred as alternative site selection (ASS) events and Intron retention (IR) events. By clustering analysis, we identified a subset of events (26 ASS events and 10 IR events) that show periodic changes in the splicing pattern during the cell cycle. About two-thirds of these 36 genes either introduce a pre-termination codon (PTC) or introduce insertions or deletions into functional domains of the proteins, which implicate splicing in altering gene function. These findings suggest that alternative splicing is also regulated during the Chlamydomonas cell cycle, although not as extensively as changes in gene expression. The longitudinal changes in the alternative splicing pattern during the cell cycle captured by this study provides an important resource to investigate alternative splicing in genes of interest during the cell cycle in Chlamydomonas reinhardtii and other eukaryotes.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0125702 ◽  
Author(s):  
Mei Yang ◽  
Liming Xu ◽  
Yanling Liu ◽  
Pingfang Yang

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.


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.


2017 ◽  
Author(s):  
Juan P. Romero ◽  
María Ortiz-Estévez ◽  
Ander Muniategui ◽  
Soraya Carrancio ◽  
Fernando J. de Miguel ◽  
...  

AbstractRNA-seq is a reference technology for determining alternative splicing at genome-wide level. Exon arrays remain widely used for the analysis of gene expression, but show poor validation rate with regard to splicing events. Commercial arrays that include probes within exon junctions have been developed in order to overcome this problem.We compare the performance of RNA-seq (Illumina HiSeq) and junction arrays (Affymetrix Human Transcriptome array) for the analysis of transcript splicing events. Three different breast cancer cell lines were treated with CX-4945, a drug that severely affects splicing. To enable a direct comparison of the two platforms, we adapted EventPointer, an algorithm that detects and labels alternative splicing events using junction arrays, to work also on RNA-seq data. Common results and discrepancies between the technologies were validated and/or resolved by over 200 PCR experiments.As might be expected, RNA-seq appears superior in cases where the technologies disagree, and is able to discover novel splicing events beyond the limitations of physical probe-sets. We observe a high degree of coherence between the two technologies, however, with correlation of EventPointer results over 0.90. Through decimation, the detection power of the junction arrays is equivalent to RNA-seq with up to 60 million reads. Our results suggest, therefore, that exon-junction arrays are a viable alternative to RNA-seq for detection of alternative splicing events when focusing on well-described transcriptional regions.


2011 ◽  
Vol 41 (10) ◽  
pp. 1016-1023
Author(s):  
Ying ZHANG ◽  
DuanQing WANG ◽  
Tao HE ◽  
YaOu HU ◽  
YuMin WANG ◽  
...  

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