Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Poly(A) RNA sequencing of Silencing Defective 2 (SDE2) depletion in HeLa cells via siRNA

ABSTRACT: Pre-mRNA splicing is a complex and dynamic process that relies on the intricate coordination between a multitude of cis-elements and trans-acting factors. Here, we identify and characterize Silencing Defective 2 (SDE2) as a human RNA binding protein and trans-acting splicing-associated factor required for efficient mRNA processing. In this study, we use Poly(A) purified RNA sequencing to identify the alternative splicing profile in Hela cells following depletion of SDE2 via siRNA. Our data demonstrate that SDE2 depletion causes widespread changes in alternative splicing (AS), with increased intron retention being the most common event. These retained introns are significantly shorter, have a higher GC content, and overall maintain weaker 5' and 3' splice sites than other introns throughout the genome. Following the depletion of SDE2, increased intron retention causes catastrophic consequences for the cell, including defects in mitotic progression, global loss of protein translation, and ultimately, complete loss of cellular viability. Taken together, we define SDE2 as a previously uncharacterized RNA binding protein that functions to regulate pre-mRNA splicing and ensure cellular viability.

ORGANISM(S): Homo sapiens

PROVIDER: GSE143258 | GEO | 2021/01/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Nascent-Seq Indicates Widespread Cotranscriptional pre-mRNA Splicing in Drosophila

Project description:To determine the prevalence of cotranscriptional splicing in Drosophila, we sequenced nascent RNA transcripts from Drosophila S2 cells as well as from Drosophila heads. 87% of introns assayed manifest more than 50% cotranscriptional splicing. The remaining 13% are cotranscriptionally spliced poorly, or slowly, with ~3% being almost completely retained in nascent pre-mRNA. Although individual introns showed slight but statistically significant differences in splicing efficiency, similar global levels of splicing were seen from both sources. Importantly, introns with low cotranscriptional splicing efficiencies are present in the same primary transcript with efficiently spliced introns, indicating that splicing is intron-specific. The analysis also indicates that cotranscriptional splicing is less efficient for first introns, longer introns and introns annotated as alternative. FinallyFinally, S2 cells expressing the slow RpII215C4 mutant manifest substantially less intron retention than wild-type S2 cells. Examination of Total pA and Nascent RNA from 2 different cell populations and isolated fly heads.

2011-12-01 | E-GEOD-32950 | biostudies-arrayexpress

Nascent-Seq Indicates Widespread Cotranscriptional pre-mRNA Splicing in Drosophila

2011-12-01 | GSE32950 | GEO

The conserved ubiquitin-like protein Hub1 plays a critical role in splicing in human cells

Project description:Different from canonical ubiquitin-like proteins, Hub1 does not form covalent conjugates with substrates but binds proteins non-covalently. In Saccharomyces cerevisiae, Hub1 associates with spliceosomes and mediates alternative splicing of SRC1, without affecting pre-mRNA splicing generally. Human Hub1 is highly similar to its yeast homolog, but its cellular function remains largely unexplored. Here, we show that human Hub1 binds to the spliceosomal protein Snu66 as in yeast, however, unlike its S. cerevisiae homolog, human Hub1 is essential for viability. Prolonged in vivo depletion of human Hub1 leads to various cellular defects, including splicing speckle abnormalities, partial nuclear retention of mRNAs, mitotic catastrophe and consequently cell death by apoptosis. Early consequences of Hub1 depletion are severe splicing defects, however, only for specific splice sites leading to exon skipping and intron retention. Thus, the ubiquitin-like protein Hub1 is not a canonical spliceosomal factor needed generally for splicing, but rather a modulator of spliceosome performance and facilitator of alternative splicing. Human U2OS cells were transfected with siRNAs to specifically knockdown the ubiquitn-like protein Hub1. Cells treated with non-targeting oligos (GL2) served as negative control. Total RNAs of three biological replicates of each knockdown experiment were isolated and changes of splicing patterns were subsequently analyzed by Affymetrix GeneChip Human Exon 1.0 ST arrays

2014-05-30 | E-GEOD-56878 | biostudies-arrayexpress

Global co-transcriptional splicing in Arabidopsis and the correlation with splicing regulation in mature RNAs

Project description:RNA splicing and spliceosome assembly in eukaryotes occur mainly during transcription. However, co-transcriptional splicing has not yet been explored in plants. Here, we showed that in Arabidopsis thaliana, nearly all introns undergo co-transcriptional splicing and this occurs with higher efficiency for introns in protein-coding genes than for noncoding RNAs. Co-transcriptional splicing efficiency correlates with density of 19 epigenetic modifications. Total intron number and intron position are two predominant sequence features that correlate with co-transcriptional splicing efficiency, and introns with alternative 5′ or 3′ splice sites are less efficiently spliced. Furthermore, we found that trans-acting protein mutations lead to more introns with increased splicing defects in nascent RNAs than in mature RNAs, and that introns with increased splicing defects in mature RNAs are inefficiently spliced at the co-transcriptional level. Our results not only uncovered widespread co-transcriptional splicing in Arabidopsis, but also uncovered features that may affect or be affected by co-transcriptional splicing efficiency.

2019-11-25 | GSE126064 | GEO

Genome-wide detection of context-sensitive alternative splicing in Arabidopsis roots

Project description:To analyze context-sensitive changes in pre-mRNA splicing pattern and gene expression, we mapped the transcriptome of iron-deficient and iron-sufficient Arabidopsis roots using the RNA-seq technology. RNA-seq data were analyzed with a newly developed software package, RACKJ (Read Analysis & Comparison Kit in Java). Subsets of 460 and 1480 genes were found to be either differentially expressed or affected in their splicing patterns upon iron deficiency. The two groups showed a small, random overlap, indicating that alternative splicing and differential gene expression represent parallel, but potentially interacting regulatory mechanisms. The majority (~95%%) of the context-sensitive alternative splicing events was due to differentially retained introns. Intron retention was mostly repressed in iron-deficient plants, while exon skipping did not show a clear trend in either direction. A comparison with a similar data set for phosphate-deficient plants supported stress-repressed intron retention and revealed nutrient-specific changes of splicing patterns. It is concluded that iron and phosphate deficiency increases splicing fidelity for a subset of transcripts, probably as a means of acclimation to nutrient shortage.

2011-08-19 | E-MTAB-4472 | biostudies-arrayexpress

The splicing co-factor Barricade/Tat-SF1, is required for cell cycle and lineage progression in Drosophila neural stem cells.

Project description:Stem cells need to balance self-renewal and differentiation for correct tissue development and homeostasis. Defects in this balance can lead to developmental defects or tumor formation. In recent years, mRNA splicing has emerged as one important mechanism regulating cell fate decisions. Here we address the role of the evolutionary conserved splicing co-factor Barricade (Barc)/CUS2/Tat-SF1 in Drosophila neural stem cell (neuroblast) lineage formation. We show that Barc is required for the generation of neurons during Drosophila brain development by ensuring correct neural progenitor proliferation and differentiation. Barc associates with components of the U2 small nuclear ribonucleic proteins (snRNP), and its depletion causes alternative splicing in form of intron retention in a subset of genes. Using bioinformatics analysis and a cell culture based splicing assay, we found that Barc dependent introns share three major traits: they are short, GC rich and have weak 3’ splice sites. Our results show that Barc, together with the U2snRNP, plays an important role in regulating neural stem cell lineage progression during brain development and facilitates correct splicing of a subset of introns.

2017-11-02 | PXD006068 | Pride

The conserved ubiquitin-like protein Hub1 plays a critical role in splicing in human cells

2014-05-30 | GSE56878 | GEO

Spontaneous mutations in FgSAD1 suppress the growth defect of the Fgprp4 mutant by affecting tri-snRNP stability and its docking in Fusarium graminearum

Project description:Purpose: For detecting splicing defects in wild type PH-1 and sector S139 and transformant D10. Our results showed that S139 and D10 had similar intron retention levels (un-spliced introns). The intron retention levels in S139 were significantly higher than those in PH-1 (P<0.001,t-test). For the 15,211 introns in the 6,995 genes expressed across two strains, approximately 25% of them had an over 2-fold intron retention rate in comparison with the intron retention rate in PH-1, indicating splicing defects in S139 and D10.

2019-05-15 | GSE131206 | GEO

Gene architecture directs splicing outcome in separate nuclear spatial regions

Project description:How the splicing machinery defines exons or introns as the spliced unit has remained a puzzle for 30 years. Here we demonstrate that peripheral and central regions of the nucleus harbor genes with two distinct exon-intron GC content architectures that differ in the splicing outcome. Genes with low GC content exons, flanked by long introns with lower GC content, are localized in the periphery, and the exons are defined as the spliced unit. Alternative splicing of these genes results in exon skipping. In contrast, the nuclear center contains genes with a high GC content in the exons and short flanking introns. Most splicing of these genes occurs via intron definition, and aberrant splicing leads to intron retention. We demonstrate that the nuclear periphery and center generate different environments for the regulation of alternative splicing, and that two sets of splicing factors form discrete regulatory subnetworks for the two gene architectures. Our study connects 3D genome organization and splicing, thus demonstrating that exon and intron definition modes of splicing occur in different nuclear regions.

2021-05-14 | GSE174396 | GEO

LUC7 is an U1snRNP component that plays a role in alternative splicing and terminal introns removal in plants

Project description:Introns are removed by the spliceosome, a large complex composed of five ribonucleoprotein subcomplexes (U snRNP). In metazoans, the U1 snRNP, which binds to 5’ splice sites, also fulfills regulatory roles in splice site selection and possesses non-splicing related functions. Here, we show that an Arabidopsis U1 snRNP subunit, LUC7, affects constitutive and alternative splicing. Interestingly, LUC7 specifically promotes splicing of a subset of terminal introns. Splicing of LUC7-dependent terminal introns is a prerequisite for nuclear export and can be modulated by stress. Globally, intron retention under stress conditions occurs preferentially among first and terminal introns, uncovering an unknown bias for splicing regulation in Arabidopsis. Taken together, our study reveals that the Arabidopsis U1 snRNP is important for alternative splicing and removal of terminal introns and it suggests that Arabidopsis terminal introns fine-tune gene expression under stress conditions.

2017-05-24 | GSE98779 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data