Evidence map›Paper›PMID 39481280›Full record

ReviewCurrent opinion in structural biology2024

Characterizing protein-protein interactions with thermal proteome profiling.

Brian C Searle

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2024. 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

1 author.

Brian C SearleDepartment of Biomedical Informatics, The Ohio State University Medical Center, Columbus, OH, 43210, USA; Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210, USA; Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, 43210, USA. Electronic address: brian.searle@osumc.edu.

Funding

Investigating the functional impact of genetic variants in the human proteomeR35GM150723 · NIGMS · OHIO STATE UNIVERSITY · PI Brian Chih-Seng Searle · 2023 to 2026
$1.6M
Using proteogenomics to assess the functional impact of alternative splicing events in glioblastomaR21CA267394 · NCI · SWEDISH MEDICAL CENTER, FIRST HILL · PI COBBS, CHARLES S, SEARLE, BRIAN CHIH-SENG · 2023 to 2024
$426k
NCI NIH HHS R21 CA267394NIGMS NIH HHS R35 GM150723
6 · The paper itself

Abstract

Thermal proteome profiling (TPP) is an innovative technique that uses the principle of protein thermal stability to identify potential protein interaction partners. Employing quantitative mass spectrometry, TPP measures protein stability across the proteome, offering a comprehensive snapshot of protein interactions in a single experiment. When studying protein-protein interactions (PPI), TPP leverages changes in apparent protein melting temperatures to identify transient and weak interactions that most traditional PPI detection methodologies struggle to measure. This review discusses current TPP methodologies, the challenges of interpreting the resulting complex datasets, and opportunities to deepen and improve PPI networks. By advancing our grasp of intricate protein interactions, TPP promises to illuminate the molecular basis of diseases and drive the discovery of novel therapeutic targets.

Indexed as

ProteomeHumansMass SpectrometryProtein BindingProtein Interaction MappingProteinsProtein StabilityProteomicsTemperatureProteinsProteomeCETSAProteomicsThermal shift assayTPP

Identifiers

PMID39481280
PMCPMC11602378

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.