Transcriptomics

Dataset Information

0

Alternative splicing outcomes across an RNA-binding protein concentration gradient


ABSTRACT: Alternative splicing (AS) is a dynamic RNA processing step that produces multiple RNA isoforms from a single pre-mRNA transcript and contributes to the complexity of the cellular transcriptome and proteome. This process is regulated through a network of cis-regulatory sequence elements and trans-acting factors, most-notably RNA binding proteins (RBPs). The muscleblind-like (MBNL) and RNA binding fox-1 homolog (RBFOX) are two well characterized families of RBPs that regulate fetal to adult AS transitions critical for proper muscle, heart, and central nervous system development. To better understand how the concentration of these RBPs influences AS transcriptome wide, we engineered an MBNL1 and RBFOX1 inducible HEK-293 cell line. We found that induction of exogenous RBFOX1 modulated AS outcomes, despite significant levels of endogenous RBFOX1 and RBFOX2 expression. We characterized AS outcomes by RNAseq following dose-dependent MBNL1 induction to generate transcriptome wide dose-response curves of skipped exon events. Analysis of 43 validated splicing events by RT-PCR revealed a spectrum of dose-response splicing curves with a 2-fold range for EC50 values and slope values ranging from 4 to 10. Analysis of this data suggests that exclusion events, when compared to inclusion events, regulated by MBNL1, may require higher protein concentrations to regulate, and that multiple arrangements of YGCY motifs produce similar splicing outcomes. Together these data suggest that rather than a simple association between the configuration of RBP binding sites and a specific splicing outcome, that a complex network governs both AS inclusion and exclusion events that operates in an RBP dose-dependent manner.

ORGANISM(S): Homo sapiens

PROVIDER: GSE221838 | GEO | 2023/01/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-03-25 | GSE169518 | GEO
2022-01-03 | GSE189515 | GEO
2022-01-03 | GSE189503 | GEO
2014-03-17 | E-GEOD-54794 | biostudies-arrayexpress
2023-08-14 | GSE230717 | GEO
2021-05-18 | GSE164752 | GEO
2014-03-17 | GSE54794 | GEO
2016-12-21 | GSE41987 | GEO
2019-06-27 | GSE120105 | GEO
2020-10-22 | GSE153803 | GEO