Evidence map›Paper›PMID 42450557›Full record

ReviewBiology2026

c-Jun N-Terminal Kinase: A Spatiotemporal Regulator of Cell Fate and Function.

Seth Thesing, Mohammed Salahuddin, Emily Okonek, Ryan L Hanson

Abstract readReview
In one paragraph

Review in 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Seth ThesingDepartment of Biology & Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57007, USA.
Mohammed SalahuddinDepartment of Biology & Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57007, USA.
Emily OkonekDepartment of Biology & Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57007, USA.
Ryan L HansonDepartment of Biology & Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57007, USA.ORCID 0000-0002-1159-3169

Funding

Transcriptome & Networks Analysis CoreP20GM135008 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI Adam David Hoppe · 2022 to 2026
$13.5M
NIGMS NIH HHS P20 GM135008NIGMS NIH HHS P20GM135008U.S. National Science Foundation 2437396
6 · The paper itself

Abstract

c-Jun N-terminal kinase (JNK) is a highly conserved, stress-activated protein kinase that plays key roles in cellular development and cell fate. An extensive study over more than 30 years has identified roughly 100 substrates for this kinase including the transcription factor c-Jun and other cell fate effectors. These studies have shown that JNK activation is tightly regulated both spatially through recruitment to subcellular locations and temporally through specific activation dynamics. Ultimately, these two regulatory mechanisms contribute to JNK's function as a major driver of cell fate and function. A growing field of live-cell imaging, biosensor development, and other novel approaches to manipulate kinase function and localization are now providing novel insights into JNK function at the single-cell level. The purpose of this review is to illustrate our historical understanding of the spatiotemporal functions of JNK signaling within cells as well as emerging studies within the field. Ultimately, we aim to provide insight into remaining knowledge gaps within the field and how emerging technologies may help address these questions.

Indexed as

cell fategene expressionJNKspatial localizationtemporal dynamics

Identifiers

PMID42450557
PMCPMC13359962

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.