Evidence map›Paper›PMID 35313706›Full record

ArticleSTAR protocols2022

Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins.

Stefan Hinz, Michael E Todhunter, Mark A LaBarge

Abstract read
In one paragraph

Article in STAR protocols, 2022. 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

3 authors.

Stefan HinzDepartment of Population Sciences, Beckman Research Institute, City of Hope, 1500 E. Duarte Road, Duarte, CA 91010, USA.
Michael E TodhunterDepartment of Population Sciences, Beckman Research Institute, City of Hope, 1500 E. Duarte Road, Duarte, CA 91010, USA.
Mark A LaBargeDepartment of Population Sciences, Beckman Research Institute, City of Hope, 1500 E. Duarte Road, Duarte, CA 91010, USA.

Funding

Geriatric Oncology Research Infrastructure to Improve Clinical CareR33AG059206 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI WILLIAM DALE, Heidi Diana Klepin · 2020 to 2026
$5.1M
Mechanical Phenotyping of Random Periaerolar Fine Needle Aspiration-Collected Cells for Early Breast Cancer DetectionR01EB024989 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI Mark A LaBarge, Lydia L Sohn · 2017 to 2026
$4.8M
Understanding breast cancer progression as a defect in the mechanics of tissue self-organizationU01CA244109 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARTNER, ZEV JORDAN, GOGA, ANDREI · 2020 to 2024
$3.0M
Involution-based biomarkers of breast cancer riskR01CA237602 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, RADISKY, DEREK C · 2020 to 2024
$2.8M
NCI NIH HHS R01 CA237602NCI NIH HHS U01 CA244109NIA NIH HHS R33 AG059206NIBIB NIH HHS R01 EB024989
6 · The paper itself

Abstract

Dysregulation of the transcriptional or translational machinery can alter the stoichiometry of multiprotein complexes and occurs in natural processes such as aging. Loss of stoichiometry has been shown to alter protein complex functions. We provide a protocol and associated code that use omics data to quantify these stoichiometric changes via statistical dispersion utilizing the interquartile range of expression values per grouping variable. This descriptive statistical approach enables the quantification of stoichiometry changes without additional data acquisition. For complete details on the use and execution of this protocol, please refer to Hinz et al. (2021).

Indexed as

ProteinsProteomicsProteinsBioinformaticsProteomicsRNAseqSystems biology

Identifiers

PMID35313706
PMCPMC8933523

What OpenQuestion holds

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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.