Evidence map›Paper›PMID 42079238›Full record

ArticlebioRxiv : the preprint server for biology2026

Evaluating splicing factor and kinase network crosstalk through global phosphoproteomics.

Sam Crowl, Sameek Singh, Tian Zhang, Kristen M Naegle

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sam CrowlUniversity of Virginia, Department of Biomedical Engineering and Department of Genome Sciences, Charlottesville, VA, 22903.
Sameek SinghUniversity of Virginia, Department of Biochemistry and Molecular Genetics, Charlottesville, VA, 22903.
Tian ZhangUniversity of Virginia, Department of Biochemistry and Molecular Genetics, Charlottesville, VA, 22903.
Kristen M NaegleUniversity of Virginia, Department of Biomedical Engineering and Department of Genome Sciences, Charlottesville, VA, 22903.ORCID 0000-0001-7146-9592

Funding

Systematic approaches to reveal novel regulatory functions of tyrosine phosphorylationR35GM138127 · NIGMS · UNIVERSITY OF VIRGINIA · PI NAEGLE, KRISTEN M · 2020 to 2024
$1.9M
Inferring Kinase Activity from Tumor Phosphoproteomic DataU01CA284193 · NCI · UNIVERSITY OF VIRGINIA · PI NAEGLE, KRISTEN M · 2023 to 2025
$961k
A new multi-pathway kinase activity assay applied to compound library screening in cancer biologyR00CA273170 · NCI · UNIVERSITY OF VIRGINIA · PI ZHANG, TIAN · 2023 to 2025
$747k
NCI NIH HHS R00 CA273170NCI NIH HHS U01 CA284193NIGMS NIH HHS R35 GM138127
6 · The paper itself

Abstract

Both splicing and kinase signaling are biochemical processes that fundamentally determine and shape cell physiology. Although there has been some indication that there is an interaction between the two - splicing can alter the availability of exons encoding kinase targets and kinases can phosphorylate splicing factors - it has yet to be established the extent to which altering splicing factor expression impacts kinase signaling networks. In this work, we implemented a data-driven analysis using ENCODE RNA-sequencing data and prior work mapping post-translational modifications onto splice events to identify candidate splice factor perturbations that show extensive alterations to phosphorylation-encoding protein products. We then replicated the ENCODE knockdown experiments and performed global phosphoproteomics for two candidates, U2AF1 and SRSF3, complementing the transcription-level data. Both knockdowns showed extensive changes in phosphorylation and kinase activities, both basally and upon receptor tyrosine kinase stimulation. U2AF1 knockdown drove decreased JNK-associated cell death signaling but elevated chromosome regulation through CSNK2A1, PLK, and EIF2AK4 activity. SRSF3 knockdown, on the other hand, led to decreased cell cycle signaling through CDK and HIPK2 but increased cytoskeletal signaling through various PAKs. In addition, we found a striking enrichment of phosphorylated splicing regulators in both knockdowns that were linked to their splicing activity, such as HNRNPC, suggesting potential feedback and crosstalk between splice factors through signaling pathway activation. Importantly, comparison of differential phosphorylation measurements from this study to mRNA expression and splicing measurements from ENCODE revealed significant knockdown-dependent protein regulation, not captured by transcriptomic measurements alone, underscoring the value of phosphoproteomic profiling after splice factor perturbations. Combined, the transcriptomics and phosphoproteomics reveal deep interconnection between the two processes that are relevant to understanding cell signaling in health and disease.

Identifiers

PMID42079238
PMCPMC13131819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.