Evidence map›Paper›PMID 35213151›Full record

ArticleJournal of the American Chemical Society2022

Discovery of the Xenon-Protein Interactome Using Large-Scale Measurements of Protein Folding and Stability.

Nancy Wiebelhaus, Niven Singh, Peng Zhang, Stephen L Craig, David N Beratan, Michael C Fitzgerald

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-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

9 citing papers in PubMed, 17 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.

Nancy WiebelhausDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Niven SinghProgram in Computational Biology and Bioinformatics, Center for Genomics and Computational Biology, Duke University School of Medicine, Durham, North Carolina 27710, United States.
Peng ZhangDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Stephen L CraigDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-8810-0369
David N BeratanDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Michael C FitzgeraldDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-6719-4722
Duke University · US

Funding

Pharmacological Sciences Training ProgramT32GM007105 · NIGMS · DUKE UNIVERSITY · PI KUHN, CYNTHIA M · 1985 to 2019
$9.0M
Pharmacological Sciences Training ProgramT32GM133352 · NIGMS · DUKE UNIVERSITY · PI Cynthia M Kuhn, David M MacAlpine · 2020 to 2026
$3.8M
NIGMS NIH HHS T32 GM007105NIGMS NIH HHS T32 GM133352
6 · The paper itself

Abstract

The intermolecular interactions of noble gases in biological systems are associated with numerous biochemical responses, including apoptosis, inflammation, anesthesia, analgesia, and neuroprotection. The molecular modes of action underlying these responses are largely unknown. This is in large part due to the limited experimental techniques to study protein-gas interactions. The few techniques that are amenable to such studies are relatively low-throughput and require large amounts of purified proteins. Thus, they do not enable the large-scale analyses that are useful for protein target discovery. Here, we report the application of stability of proteins from rates of oxidation (SPROX) and limited proteolysis (LiP) methodologies to detect protein-xenon interactions on the proteomic scale using protein folding stability measurements. Over 5000 methionine-containing peptides and over 5000 semi-tryptic peptides, mapping to ∼1500 and ∼950 proteins, respectively, in the yeast proteome, were assayed for Xe-interacting activity using the SPROX and LiP techniques. The SPROX and LiP analyses identified 31 and 60 Xe-interacting proteins, respectively, none of which were previously known to bind Xe. A bioinformatics analysis of the proteomic results revealed that these Xe-interacting proteins were enriched in those involved in ATP-driven processes. A fraction of the protein targets that were identified are tied to previously established modes of action related to xenon's anesthetic and organoprotective properties. These results enrich our knowledge and understanding of biologically relevant xenon interactions. The sample preparation protocols and analytical methodologies developed here for xenon are also generally applicable to the discovery of a wide range of other protein-gas interactions in complex biological mixtures, such as cell lysates.

Indexed as

ProteomicsXenonPeptidesProtein FoldingProtein StabilityProteomePeptidesProteomeXenon

Identifiers

PMID35213151
PMCPMC10166008
OpenAlexW4214610303

What OpenQuestion holds

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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.