Evidence map›Paper›PMID 34087075›Full record

ArticleJournal of proteome research2021

Mapping Proximity Associations of Core Spindle Assembly Checkpoint Proteins.

Yenni A Garcia, Erick F Velasquez, Lucy W Gao, Ankur A Gholkar, Kevin M Clutario, Keith Cheung, Taylor Williams-Hamilton, Julian P Whitelegge, Jorge Z Torres

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Cancers · 2025
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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

9 authors at 1 institution in 1 country.

Yenni A GarciaDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Erick F VelasquezDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Lucy W GaoPasarow Mass Spectrometry Laboratory, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, California 90095, United States.
Ankur A GholkarDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Kevin M ClutarioDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Keith CheungDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Taylor Williams-HamiltonDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Julian P WhiteleggePasarow Mass Spectrometry Laboratory, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, California 90095, United States.ORCID 0000-0003-2763-7733
Jorge Z TorresDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.ORCID 0000-0002-2158-889X
University of California, Los Angeles · US

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
TUMOR CELL SURFACES AND CHROMOSOMEST32CA009056 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Gay M Crooks, David A. Nathanson · 1985 to 2026
$10.5M
Investigating the Cell Division MachineryR35GM139539 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 2021 to 2025
$2.2M
Novel Regulatory Factors of the Spindle Assembly CheckpointR01GM117475 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 2016 to 2020
$1.7M
NCI NIH HHS T32 CA009056NIDDK NIH HHS P30 DK063491NIGMS NIH HHS R01 GM117475NIGMS NIH HHS R35 GM139539
6 · The paper itself

Abstract

The spindle assembly checkpoint (SAC) is critical for sensing defective microtubule-kinetochore attachments and tension across the kinetochore and functions to arrest cells in prometaphase to allow time to repair any errors before proceeding into anaphase. Dysregulation of the SAC leads to chromosome segregation errors that have been linked to human diseases like cancer. Although much has been learned about the composition of the SAC and the factors that regulate its activity, the proximity associations of core SAC components have not been explored in a systematic manner. Here, we have taken a BioID2-proximity-labeling proteomic approach to define the proximity protein environment for each of the five core SAC proteins BUB1, BUB3, BUBR1, MAD1L1, and MAD2L1 in mitotic-enriched populations of cells where the SAC is active. These five protein association maps were integrated to generate a SAC proximity protein network that contains multiple layers of information related to core SAC protein complexes, protein-protein interactions, and proximity associations. Our analysis validated many known SAC complexes and protein-protein interactions. Additionally, it uncovered new protein associations, including the ELYS-MAD1L1 interaction that we have validated, which lend insight into the functioning of core SAC proteins and highlight future areas of investigation to better understand the SAC.

Indexed as

M Phase Cell Cycle CheckpointsSpindle ApparatusCell Cycle ProteinsHumansKinetochoresProtein Serine-Threonine KinasesProteomicsCell Cycle ProteinsProtein Serine-Threonine KinasesBioID2cell divisionprotein associationsprotein networksproximity labelingspindle assembly checkpoint (SAC)

Identifiers

PMID34087075
PMCPMC8256817
OpenAlexW3165175966

What OpenQuestion 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 OpenQuestion graph.