Evidence map›Paper›PMID 41069150›Full record

ArticleJournal of mass spectrometry : JMS2025

Top-Down Thermal Proteome Profiling (TD-TPP) for Functional Characterization of the Intact Proteoforms in Complex Samples.

Kellye A Cupp-Sutton, Yanting Guo, Thomas Welborn, Si Wu

Abstract read
In one paragraph

Article in Journal of mass spectrometry : JMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kellye A Cupp-SuttonDepartment of Chemistry and Biochemistry, University of Alabama, Tuscaloosa, Alabama, USA.ORCID https://orcid.org/0000-0002-9859-1990
Yanting GuoDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, USA.
Thomas WelbornDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, USA.
Si WuDepartment of Chemistry and Biochemistry, University of Alabama, Tuscaloosa, Alabama, USA.ORCID https://orcid.org/0000-0002-6346-7359

Funding

Translation of immunologic technologies from basic research into pre-clinical nonU19AI062629 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI COGGESHALL, KENNETH MARK · 2004 to 2023
$56.2M
Quantitative Analysis of Serum Autoantibody Repertories in Systemic Lupus ErythematosusR01AI141625 · NIAID · UNIVERSITY OF OKLAHOMA · PI SINGH, SHANTERI, SMITH, KENNETH MICHAEL · 2019 to 2023
$2.1M
IMAT-ITCR Collaboration: Integrated Computational Framework for Validation and Quantification of Intact Proteoforms in Patient-Derived Ovarian Cancer SpheroidsR61CA297964 · NCI · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI Anthony W.G. Burgett, Si Wu · 2025 to 2026
$773k
NCI NIH HHS R61 CA297964NIAID NIH HHS R01 AI141625NIAID NIH HHS U19 AI062629NIH NIAID 2U19AI062629NIH NIAID R01AI141625Oklahoma Center for the Advancement of Science and Technology HR23-169
6 · The paper itself

Abstract

Protein function can vary due to changes in primary structure, such as post-translational modification (PTM), truncation, or amino acid replacement, and functional proteomics methods focus on elucidating changes in the function of proteins in biological pathways. Thermal proteome profiling (TPP) is a powerful functional proteomics approach that analyzes the thermal stability of proteins by exposing them to a temperature gradient to facilitate thermal denaturation, followed by analysis of the remaining folded proteins. Current TPP methods, however, utilize bottom-up methods that require protein digestion and can obscure relevant information regarding the structure of the intact proteoform. In this study, we have developed a top-down (TD) TPP approach to study intact proteoform stability as well as a high-throughput data analysis pipeline for label-free quantitative analysis and identification. We benchmarked this platform using two proteoforms of standard proteins, β-lactoglobulin A and β-lactoglobulin B (βLG-A and βLG-B), and found that βLG-A is slightly stabilized compared with βLG-B as a result of two amino acid substitutions. Additionally, we utilized this platform to detect protein thermal stability shifts induced by ligand binding, using carbonic anhydrase and its known inhibitor, acetazolamide. Our results demonstrated that the TD-TPP platform effectively detected the stabilization of a standard protein upon ligand binding. Furthermore, we adapted the TD-TPP platform for high-throughput thermal stability profiling of the intact E. coli proteome, enabling the characterization of intact proteoform-level thermal stability in complex biological samples. We performed thermal profiling of 72 identified proteoforms and 91 proteoform features (e.g., 163 total proteoforms) from intact E. coli lysate, and found that the melting points of these proteoforms correlated well with melting points determined using bottom-up TPP methods. Overall, the TD-TPP platform is capable of profiling thermal stability for standard proteins and intact proteoforms in complex biological samples.

Indexed as

ProteomeProteomicsAnimalsLactoglobulinsProtein DenaturationProtein StabilityTemperatureLactoglobulinsProteome

Identifiers

PMID41069150
PMCPMC12649780

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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.