scholarly journals Multiplexed primer extension sequencing: A targeted RNA-seq method that enables high-precision quantitation of mRNA splicing isoforms and rare pre-mRNA splicing intermediates

Methods ◽  
2020 ◽  
Vol 176 ◽  
pp. 34-45 ◽  
Author(s):  
Michael A. Gildea ◽  
Zachary W. Dwyer ◽  
Jeffrey A. Pleiss
2018 ◽  
Author(s):  
Hansen Xu ◽  
Benjamin J. Fair ◽  
Zach Dwyer ◽  
Michael Gildea ◽  
Jeffrey A. Pleiss

ABSTRACTTargeted RNA-sequencing aims to focus coverage on areas of interest that are inadequately sampled in standard RNA-sequencing experiments. Here we present a novel approach for targeted RNA-sequencing that uses complex pools of reverse transcription primers to enable sequencing enrichment at user-selected locations across the genome. We demonstrate this approach by targeting hundreds to thousands of pre-mRNA splice junctions, revealing high-precision detection of splice isoforms, including rare pre-mRNA splicing intermediates.


2014 ◽  
Vol 42 (15) ◽  
pp. e121-e121 ◽  
Author(s):  
Hari Krishna Yalamanchili ◽  
Zhaoyuan Li ◽  
Panwen Wang ◽  
Maria P. Wong ◽  
Jianfeng Yao ◽  
...  

Abstract Conventionally, overall gene expressions from microarrays are used to infer gene networks, but it is challenging to account splicing isoforms. High-throughput RNA Sequencing has made splice variant profiling practical. However, its true merit in quantifying splicing isoforms and isoform-specific exon expressions is not well explored in inferring gene networks. This study demonstrates SpliceNet, a method to infer isoform-specific co-expression networks from exon-level RNA-Seq data, using large dimensional trace. It goes beyond differentially expressed genes and infers splicing isoform network changes between normal and diseased samples. It eases the sample size bottleneck; evaluations on simulated data and lung cancer-specific ERBB2 and MAPK signaling pathways, with varying number of samples, evince the merit in handling high exon to sample size ratio datasets. Inferred network rewiring of well established Bcl-x and EGFR centered networks from lung adenocarcinoma expression data is in good agreement with literature. Gene level evaluations demonstrate a substantial performance of SpliceNet over canonical correlation analysis, a method that is currently applied to exon level RNA-Seq data. SpliceNet can also be applied to exon array data. SpliceNet is distributed as an R package available at http://www.jjwanglab.org/SpliceNet.


2017 ◽  
Author(s):  
Kuan-Ting Lin ◽  
Wai-Kit Ma ◽  
Juergen Scharner ◽  
Yun-Ru Liu ◽  
Adrian R. Krainer

AbstractPre-mRNA splicing can contribute to the switch of cell identity that occurs in carcinogenesis. Here we analyze a large collection of RNA-Seq datasets and report that splicing changes in hepatocyte-specific enzymes, such as AFMID and KHK, are associated with HCC patients’ survival and relapse. The switch of AFMID isoforms is an early event in HCC development, and is associated with driver mutations in TP53 and ARID1A. Finally, we show that the switch of AFMID isoforms is human-specific and not detectable in other species, including primates. The integrative analysis uncovers a mechanistic link between splicing switches, de novo NAD+ biosynthesis, driver mutations, and HCC recurrence.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Martin Převorovský ◽  
Martina Hálová ◽  
Kateřina Abrhámová ◽  
Jiří Libus ◽  
Petr Folk

Pre-mRNA splicing represents an important regulatory layer of eukaryotic gene expression. In the simple budding yeast Saccharomyces cerevisiae, about one-third of all mRNA molecules undergo splicing, and splicing efficiency is tightly regulated, for example, during meiotic differentiation. S. cerevisiae features a streamlined, evolutionarily highly conserved splicing machinery and serves as a favourite model for studies of various aspects of splicing. RNA-seq represents a robust, versatile, and affordable technique for transcriptome interrogation, which can also be used to study splicing efficiency. However, convenient bioinformatics tools for the analysis of splicing efficiency from yeast RNA-seq data are lacking. We present a complete workflow for the calculation of genome-wide splicing efficiency in S. cerevisiae using strand-specific RNA-seq data. Our pipeline takes sequencing reads in the FASTQ format and provides splicing efficiency values for the 5′ and 3′ splice junctions of each intron. The pipeline is based on up-to-date open-source software tools and requires very limited input from the user. We provide all relevant scripts in a ready-to-use form. We demonstrate the functionality of the workflow using RNA-seq datasets from three spliceosome mutants. The workflow should prove useful for studies of yeast splicing mutants or of regulated splicing, for example, under specific growth conditions.


eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Qingqing Wang ◽  
Katharine C Abruzzi ◽  
Michael Rosbash ◽  
Donald C Rio

Although alternative pre-mRNA splicing (AS) significantly diversifies the neuronal proteome, the extent of AS is still unknown due in part to the large number of diverse cell types in the brain. To address this complexity issue, we used an annotation-free computational method to analyze and compare the AS profiles between small specific groups of Drosophila circadian neurons. The method, the Junction Usage Model (JUM), allows the comprehensive profiling of both known and novel AS events from specific RNA-seq libraries. The results show that many diverse and novel pre-mRNA isoforms are preferentially expressed in one class of clock neuron and also absent from the more standard Drosophila head RNA preparation. These AS events are enriched in potassium channels important for neuronal firing, and there are also cycling isoforms with no detectable underlying transcriptional oscillations. The results suggest massive AS regulation in the brain that is also likely important for circadian regulation.


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.


2019 ◽  
Author(s):  
Soyoung Choi ◽  
Dunrui Wang ◽  
Xiang Chen ◽  
Laura H. Tang ◽  
Akanksha Verma ◽  
...  

AbstractThe receptor for hyaluronic acid-mediated motility (RHAMM) is upregulated in various cancers. We previously screened genes upregulated in human hepatocellular carcinomas for their metastatic function in a mouse model of pancreatic neuroendocrine tumor (PNET) and identified that humanRHAMMBpromoted liver metastasis. It was unknown whetherRHAMMBis upregulated in pancreatic cancer or contributes to its progression. In this study, we found that RHAMM protein was frequently upregulated in human PNETs. We investigated alternative splicing isoforms,RHAMMAandRHAMMB, by RNA-Seq analysis of primary PNETs and liver metastases.RHAMMB, but notRHAMMA, was significantly upregulated in liver metastases. RHAMMBwas crucial forin vivometastatic capacity of mouse and human PNETs. RHAMMA, carrying an extra 15-amino acid-stretch, did not promote metastasis in spontaneous and experimental metastasis mouse models. Moreover,RHAMMBwas substantially higher thanRHAMMAin pancreatic ductal adenocarcinoma (PDAC).RHAMMB, but notRHAMMA, correlated with both higherEGFRexpression and poorer survival of PDAC patients. Knockdown of EGFR abolished RHAMMB-driven PNET metastasis. Altogether, our findings suggest a clinically relevant function ofRHAMMB, but notRHAMMA, in promoting PNET metastasis in part through EGFR signaling.RHAMMBcan thus serve as a prognostic factor for pancreatic cancer.


2019 ◽  
Vol 35 (23) ◽  
pp. 5048-5054 ◽  
Author(s):  
Kuan-Ting Lin ◽  
Adrian R Krainer

Abstract Motivation Percent Spliced-In (PSI) values are commonly used to report alternative pre-mRNA splicing (AS) changes. Previous PSI-detection tools were limited to specific AS events and were evaluated by in silico RNA-seq data. We developed PSI-Sigma, which uses a new PSI index, and we employed actual (non-simulated) RNA-seq data from spliced synthetic genes (RNA Sequins) to benchmark its performance (i.e. precision, recall, false positive rate and correlation) in comparison with three leading tools (rMATS, SUPPA2 and Whippet). Results PSI-Sigma outperformed these tools, especially in the case of AS events with multiple alternative exons and intron-retention events. We also briefly evaluated its performance in long-read RNA-seq analysis, by sequencing a mixture of human RNAs and RNA Sequins with nanopore long-read sequencers. Availability and implementation PSI-Sigma is implemented is available at https://github.com/wososa/PSI-Sigma.


Genes ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 937 ◽  
Author(s):  
Bezzecchi ◽  
Ronzio ◽  
Dolfini ◽  
Mantovani

The CCAAT box is recognized by the trimeric transcription factor NF-Y, whose NF-YA subunit is present in two major splicing isoforms, NF-YAl (“long”) and NF-YAs (“short”). Little is known about the expression levels of NF-Y subunits in tumors, and nothing in lung cancer. By interrogating RNA-seq TCGA and GEO datasets, we found that, unlike NF-YB/NF-YC, NF-YAs is overexpressed in lung squamous cell carcinomas (LUSC). The ratio of the two isoforms changes from normal to cancer cells, with NF-YAs becoming predominant in the latter. NF-YA increased expression correlates with common proliferation markers. We partitioned all 501 TCGA LUSC tumors in the four molecular cohorts and verified that NF-YAs is similarly overexpressed. We analyzed global and subtype-specific RNA-seq data and found that CCAAT is the most abundant DNA matrix in promoters of genes overexpressed in all subtypes. Enriched Gene Ontology terms are cell-cycle and signaling. Survival curves indicate a worse clinical outcome for patients with increasing global amounts of NF-YA; same with hazard ratios with very high and, surprisingly, very low NF-YAs/NF-YAl ratios. We then analyzed gene expression in this latter cohort and identified a different, pro-migration signature devoid of CCAAT. We conclude that overexpression of the NF-Y regulatory subunit in LUSC has the scope of increasing CCAAT-dependent, proliferative (NF-YAshigh) or CCAAT-less, pro-migration (NF-YAlhigh) genes. The data further reinstate the importance of analysis of single isoforms of TFs involved in tumor development.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Manjul Rana ◽  
Jianrong Dong ◽  
Matthew J. Robertson ◽  
Cristian Coarfa ◽  
Nancy L. Weigel

AbstractProstate cancer (PCa) is dependent on the androgen receptor (AR). Advanced PCa is treated with an androgen deprivation therapy-based regimen; tumors develop resistance, although they typically remain AR-dependent. Expression of constitutively active AR variants lacking the ligand-binding domain including the variant AR-V7 contributes to this resistance. AR and AR-V7, as transcription factors, regulate many of the same genes, but also have unique activities. In this study, the capacity of the two AR isoforms to regulate splicing was examined. RNA-seq data from models that endogenously express AR and express AR-V7 in response to doxycycline were used. Both AR isoforms induced multiple changes in splicing and many changes were isoform-specific. Analyses of two endogenous genes, PGAP2 and TPD52, were performed to examine differential splicing. A novel exon that appears to be a novel transcription start site was preferentially induced by AR-V7 in PGAP2 although it is induced to a lesser extent by AR. The previously described AR induced promoter 2 usage that results in a novel protein derived from TPD52 (PrLZ) was not induced by AR-V7. AR, but not AR-V7, bound to a site proximal to promoter 2, and induction was found to depend on FOXA1.


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