Evidence map›Paper›PMID 34043365›Full record

ArticleJournal of proteome research2021

Quantitative Proteomic Analysis Revealed Broad Roles of

Weili Miao, Yen-Yu Yang, Yinsheng Wang

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Weili MiaoDepartment of Chemistry, University of California, Riverside, California 92521-0403, United States.
Yen-Yu YangDepartment of Chemistry, University of California, Riverside, California 92521-0403, United States.
Yinsheng WangDepartment of Chemistry, University of California, Riverside, California 92521-0403, United States.ORCID 0000-0001-5565-283X
University of California, Riverside · US

Funding

Quantitative Adductomics Approaches for Assessing the Occurrence and Repair of DNA AdductsR01CA210072 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI WANG, YINSHENG · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA210072
6 · The paper itself

Abstract

As optimum temperature is essential for all living organisms, heat shock represents a challenging problem for their survival. Therefore, cellular response to heat shock is among the most extensively investigated stress response pathways; however, how the human proteome responds to heat shock has not been comprehensively investigated. In this study, we employed stable isotope labeling by amino acids in cell culture (SILAC), together with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, to fulfill an in-depth analysis of the alterations in the human proteome in M14 human melanoma cells in response to heat shock stress. We found that, after heat shock, 284 and 278 out of the 4319 quantified proteins were with substantially diminished and elevated expressions, respectively. We also examined the alterations in human kinome after heat shock by using our recently developed targeted proteomic method relying on parallel-reaction monitoring. Our results showed that the expression levels of 11 and 22 kinase proteins were increased and decreased, respectively, by at least 1.5-fold upon heat shock. By interrogating publicly available RNA-seq and m

Indexed as

ProteomicsTandem Mass SpectrometryAdenosineChromatography, LiquidHeat-Shock ResponseHumansProteomeAdenosineN-methyladenosineProteomeepitranscriptomicsheat shockheat shock proteinskinasekinomeN6-methyladenosineparallel-reaction monitoringquantitative proteomics

Identifiers

PMID34043365
PMCPMC8753891
OpenAlexW3164542526

What OpenQuestion holds

Textmetadata
LicenceTDM
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.