Dataset Information

Splicing factor SRSF1 promotes breast cancer progression via regulating alternative splicing

ABSTRACT: Purpose:Intensive evidence have highlighted the effect of aberrant alternative splicing (AS) events triggered by dysregulation of SR protein family on cancer progression. Nonetheless, the underlying mechanism in breast cancer (BRCA) remains elusive. Here we sought to explore the molecular function of SRSF1 and identify the key AS events regulated by SRSF1 in BRCA. Methods:We conducted comprehensive analysis for the expression and the clinical correlation of SRSF1 in BRCA based on TCGA, Metabric database, clinical tissue samples and BRCA cell lines. Functional analysis of SRSF1 in BRCA was conducted in vitro and in vivo. SRSF1-mediated AS events and its binding motif were identified by RNA-seq, RNA immunoprecipitation-PCR (RIP-PCR) and in vivo crosslinking followed by immunoprecipitation (CLIP), which was further validated by the minigene reporter assay. Finally, the expression and their clinical significance were validated in clinical samples and TCGA database. Results:SRSF1 was upregulated in BRCA samples, associated positively with tumor grade and Ki-67 index, and correlated with poor prognosis in hormone receptor positive (HR+) cohort, which facilitated tumor progression in vitro and in vivo. We identified SRSF1-mediated AS events and discovered the SRSF1 binding motif in the regulation of PTPMT1. Furthermore, PTPMT1 splice switching regulated by SRSF1 partially mediated the oncogenic role of SRSF1 via the AKT/C-MYC axis. Additionally, PTPMT1 splice switching was validated in tissue samples of BRCA patients. Conclusions:Collectively, SRSF1 exerts the oncogenic roles in BRCA partially through regulating AS of PTPMT1, which could be a candidate prognostic factor and therapeutic target in HR+ BRCA cohort.

ORGANISM(S): Homo sapiens

PROVIDER: GSE163025 | GEO | 2021/05/25

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Proteogenomics, i.e. comprehensive integration of genomics and proteomics data, is a powerful approach identifying novel protein biomarkers. This is especially the case for proteins that differ structurally between disease and control conditions. As tumor development is associated with aberrant splicing, we focus on this rich source of cancer specific biomarkers. To this end, we developed a proteogenomic pipeline, Splicify, which is able to detect differentially expressed protein isoforms. Splicify is based on integrating RNA massive parallel sequencing data and tandem mass spectrometry proteomics data to identify protein isoforms resulting from differential splicing between two conditions. Proof of concept was obtained by applying Splicify to RNA sequencing and mass spectrometry data obtained from colorectal cancer cell line SW480, before and after siRNA-mediated down-modulation of the splicing factors SF3B1 and SRSF1. These analyses revealed 2172 and 149 differentially expressed isoforms, respectively, with peptide confirmation upon knock-down of SF3B1 and SRSF1 compared to their controls. Splice variants identified included RAC1, OSBPL3, MKI67 and SYK. One additional sample was analyzed by PacBio Iso-Seq full-length transcript sequencing after SF3B1 down-modulation. This analysis verified the alternative splicing identified by Splicify and in addition identified novel splicing events that were not represented in the human reference genome annotation. Therefore, Splicify offers a validated proteogenomic data analysis pipeline for identification of disease specific protein biomarkers resulting from mRNA alternative splicing. Splicify is publicly available on GitHub (https://github.com/NKI-TGO/SPLICIFY) and suitable to address basic research questions using pre-clinical model systems as well as translational research questions using patient-derived samples, e.g. allowing to identify clinically relevant biomarkers. This dataset corresponds to a publication in Molecular & Cellular Proteomics 16: 10.1074/mcp.TIR117.000056, 1850–1863, 2017, PMID: 28747380. Mass spectrometry data corresponding to this entry is available at ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD006486.

Dataset Information

Splicing factor SRSF1 promotes breast cancer progression via regulating alternative splicing

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets