Evidence map›Paper›PMID 35128413›Full record

ArticleRSC chemical biology2022

Chemoproteomic-enabled characterization of small GTPase Rab1a as a target of an

A Katherine Hatstat, Baiyi Quan, Morgan A Bailey, Michael C Fitzgerald, Michaela C Reinhart, Dewey G McCafferty

Open access · goldAbstract read
In one paragraph

Article in RSC chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 15 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

6 authors at 1 institution in 1 country.

A Katherine HatstatDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.
Baiyi QuanDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.
Morgan A BaileyDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.
Michael C FitzgeraldDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.
Michaela C ReinhartDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.
Dewey G McCaffertyDepartment of Chemistry, Duke University Durham NC 27708 USA dewey.mccafferty@duke.edu.ORCID https://orcid.org/0000-0002-3253-9233
Duke University · US

Funding

Pharmacological Sciences Training ProgramT32GM007105 · NIGMS · DUKE UNIVERSITY · PI KUHN, CYNTHIA M · 1985 to 2019
$9.0M
Global Measurements of Protein Folding Stability for Characterization of Aging and DiseaseR01GM134716 · NIGMS · DUKE UNIVERSITY · PI FITZGERALD, MICHAEL C · 2019 to 2022
$1.2M
Chemical Biology of Ubiquitin- and Neddylation-Protein Ligases in NeurodegenerationR21NS112927 · NINDS · DUKE UNIVERSITY · PI MCCAFFERTY, DEWEY G · 2019 to 2019
$414k
NIGMS NIH HHS R01 GM134716NIGMS NIH HHS T32 GM007105NINDS NIH HHS R21 NS112927
6 · The paper itself

Abstract

The development of phenotypic models of Parkinson's disease (PD) has enabled screening and identification of phenotypically active small molecules that restore complex biological pathways affected by PD toxicity. While these phenotypic screening platforms are powerful, they do not inherently enable direct identification of the cellular targets of promising lead compounds. To overcome this, chemoproteomic platforms like Thermal Proteome Profiling (TPP) and Stability of Proteins from Rates of Oxidation (SPROX) can be implemented to reveal protein targets of biologically active small molecules. Here we utilize both of these chemoproteomic strategies to identify targets of an

Identifiers

PMID35128413
PMCPMC8729260
OpenAlexW3158765144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.