Evidence map›Paper›PMID 38746413›Full record

ArticlebioRxiv : the preprint server for biology2024

Functional selection in SH3-mediated activation of the PI3 kinase.

Safia S Aljedani, Abdullah Aldehaiman, Anandsukeerthi Sandholu, Siba Alharbi, Victor C Y Mak, Haiyan Wu, Adrien Lugari, Mariusz Jaremko, Xavier Morelli, Jonathan W Backer and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

14 authors.

Safia S AljedaniBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.
Abdullah AldehaimanBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.
Anandsukeerthi SandholuBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.
Siba AlharbiBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.
Victor C Y MakSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Haiyan WuDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, USA.
Adrien LugariCRCM, CNRS, INSERM, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.
Mariusz JaremkoBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.
Xavier MorelliCRCM, CNRS, INSERM, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.
Jonathan W BackerDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, USA.
John E LadburySchool of Molecular and Cellular Biology, and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT.
Michał NowakowskiFaculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland.
Lydia W T CheungSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Stefan T AroldBiological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 2395-56900, Kingdom of Saudi Arabia.

Funding

The Biology of Lung Metastasis in Breast CancerP01CA257885 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Maja Hrzenjak Oktay · 2022 to 2026
$11.9M
NCI NIH HHS P01 CA257885
6 · The paper itself

Abstract

The phosphoinositide-3 kinase (PI3K), a heterodimeric enzyme, plays a pivotal role in cellular metabolism and survival. Its deregulation is associated with major human diseases, particularly cancer. The p85 regulatory subunit of PI3K binds to the catalytic p110 subunit via its C-terminal domains, stabilising it in an inhibited state. Certain Src homology 3 (SH3) domains can activate p110 by binding to the proline-rich (PR) 1 motif located at the N-terminus of p85. However, the mechanism by which this N-terminal interaction activates the C-terminally bound p110 remains elusive. Moreover, the intrinsically poor ligand selectivity of SH3 domains raises the question of how they can control PI3K. Combining structural, biophysical, and functional methods, we demonstrate that the answers to both these unknown issues are linked: PI3K-activating SH3 domains engage in additional "tertiary" interactions with the C-terminal domains of p85, thereby relieving their inhibition of p110. SH3 domains lacking these tertiary interactions may still bind to p85 but cannot activate PI3K. Thus, p85 uses a functional selection mechanism that precludes nonspecific activation rather than nonspecific binding. This separation of binding and activation may provide a general mechanism for how biological activities can be controlled by promiscuous protein-protein interaction domains.

Indexed as

cancerGrb2kinaseselectivitysignallingtertiary interactions

Identifiers

PMID38746413
PMCPMC11092569

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.