Proteomics

Dataset Information

0

Exon inclusion signatures enable accurate estimation of splicing factor activity


ABSTRACT: Splicing factors control exon inclusion in messenger RNA, shaping transcriptome and proteome diversity. Their catalytic activity is regulated by multiple layers, making single-omic measurements on their own fall short in identifying which splicing factors underlie a phenotype. Here, we propose that splicing factor activity can be estimated by interpreting changes in exon inclusion. To see if this is the case we benchmarked methods to construct splicing factor→exon networks and calculate splicing factor activity. Combining RNA-seq perturbation-based networks with VIPER (virtual inference of protein activity by enriched regulon analysis) accurately captures splicing factor activation modulated by different regulatory layers. This approach consolidates splicing factor regulation into a single score derived solely from exon inclusion signatures, allowing functional interpretation of heterogeneous conditions. As a proof of concept, we identify recurrent cancer splicing programs, revealing oncogenic- and tumor suppressor-like splicing factors missed by conventional methods. These programs correlate with patient survival and key cancer hallmarks: initiation, proliferation, and immune evasion. Altogether, we show splicing factor activity can be accurately estimated from exon inclusion changes, enabling comprehensive analyses of splicing regulation with minimal data requirements. In this dataset, we share our results from analyzing the BJ fibroblast-based model for carcinogenesis through proteomics and phosphoproteomics.

INSTRUMENT(S): Orbitrap Astral

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Fibroblast

DISEASE(S): Carcinoma

SUBMITTER: Miquel Anglada Girotto  

LAB HEAD: Luis Serrano

PROVIDER: PXD066623 | Pride | 2025-07-27

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
2025NK023_CASE_001_02_500ng.raw Raw
2025NK023_CASE_002_02_500ng.raw Raw
2025NK023_CASE_003_01_500ng.raw Raw
2025NK023_CASE_004_01_500ng.raw Raw
2025NK023_CASE_005_01_500ng.raw Raw
Items per page:
1 - 5 of 22
altmetric image

Publications

Exon inclusion signatures enable accurate estimation of splicing factor activity.

Anglada-Girotto Miquel M   Moakley Daniel F DF   Zhang Chaolin C   Miravet-Verde Samuel S   Califano Andrea A   Serrano Luis L  

bioRxiv : the preprint server for biology 20250130


Splicing factors control exon inclusion in messenger RNA, shaping transcriptome and proteome diversity. Their catalytic activity is regulated by multiple layers, making single-omic measurements on their own fall short in identifying which splicing factors underlie a phenotype. Here, we propose splicing factor activity can be estimated by interpreting changes in exon inclusion. We benchmark methods to construct splicing factor→exon networks and calculate activity. Combining RNA-seq perturbation-b  ...[more]

Similar Datasets

2014-05-14 | E-GEOD-57613 | biostudies-arrayexpress
2014-05-14 | GSE57613 | GEO
2010-12-31 | E-GEOD-24097 | biostudies-arrayexpress
2017-03-08 | GSE95778 | GEO
2022-06-01 | GSE169223 | GEO
2023-09-25 | GSE232598 | GEO
2023-09-25 | GSE232597 | GEO
2008-05-09 | GSE11344 | GEO
2023-10-02 | GSE212049 | GEO
2012-12-25 | E-GEOD-43134 | biostudies-arrayexpress