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Record W4416854382 · doi:10.1038/s42003-025-09009-4

KSR1 is a scaffold for the Hippo signaling pathway

2025· article· en· W4416854382 on OpenAlexaff
Samar Sayedyahossein, Mohammed Rizwan Babu Sait, Zhigang Li, Riddhi Banerjee, Andy D. Tran, Louise Thines, Mehdi Karimi, Mehrnoosh Bahmani, Naomi Mishan, Pooya Borzou, Sergio A. Hassan, David B. Sacks

Bibliographic record

VenueCommunications Biology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHippo pathway signaling and YAP/TAZ
Canadian institutionsWestern University
FundersNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsHippo signaling pathwayCrosstalkScaffold proteinEffectorSignal transductionKinaseTranscription factorYAP1

Abstract

fetched live from OpenAlex

The evolutionarily conserved Hippo signaling pathway regulates organ size and tissue homeostasis. Yes-associated protein (YAP) functions as a transcriptional co-activator and is a critical downstream effector of the Hippo signaling pathway. Altered crosstalk with oncogenic signaling pathways contributes to YAP dysregulation in cancer. Kinase Suppressor of Ras 1 (KSR1) scaffolds the Ras cascade. Some of the functions of the Ras and Hippo pathways in regulating cellular processes are similar. Nevertheless, the potential intersection of Ras and Hippo signaling has not been explored. Here, we identify KSR1 as a previously unrecognized scaffold of the Hippo pathway. We demonstrate that KSR1 constitutively binds to YAP and MST1 and forms a complex with LATS1. Moreover, KSR1 modulates YAP protein levels and its transcriptional activity, at least in part through the RhoA/actin axis. Our findings provide insight into the role of KSR1 as a scaffold of the Hippo signaling that could yield novel therapeutics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.324
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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