Evidence map›Paper›PMID 40480957›Full record

ArticleJournal of proteome research2025

Unveiling the Potential Binding Targets of Celastrol in Colorectal Cancer: A Proteomic Profiling Approach Integrating Cellular Thermal Shift Assay and Pulse Proteolysis.

Ti Lin, Shang-Lin Yang, Chao-Jung Chen, Pei-Fen Liu

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Ti LinDepartment of Food Science and Biotechnology, National Chung Hsing University, Taichung City 402, Taiwan.ORCID 0009-0001-7052-223X
Shang-Lin YangDepartment of Food Science and Biotechnology, National Chung Hsing University, Taichung City 402, Taiwan.
Chao-Jung ChenGraduate Institute of Integrated Medicine, China Medical University, Taichung City 402, Taiwan.ORCID 0000-0003-3834-9243
Pei-Fen LiuDepartment of Food Science and Biotechnology, National Chung Hsing University, Taichung City 402, Taiwan.ORCID 0000-0001-9939-0202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Celastrol, a natural compound classified as a pentacyclic triterpenoid, has demonstrated efficacy in inhibiting human colorectal cancer cells' growth, adhesion, and metastasis through various signaling pathways. However, the specific protein target responsible for the effects of celastrol remains unclear, limiting its potential for further applications in colon cancer treatment and drug development. In this study, we propose a novel approach by combining a cellular thermal shift assay and pulse proteolysis techniques to identify the potential binding proteins of celastrol. Utilizing proteomic profiling on 2-dimensional electrophoresis, we successfully identified eight potential binding targets. MALDI-TOF mass spectrometry was conducted to verify these proteins as EEF2, STIP1, GAPDH, FLNA, SETSIP, GANAB, TXNDC17, and PRDX2. Our results provide valuable insights into the protein targets through which celastrol exerts its pharmacological effects, opening up new avenues for targeted therapies and drug development in colorectal cancer.

Indexed as

Colorectal NeoplasmsProteomeProteomicsTriterpenesCell Line, TumorElectrophoresis, Gel, Two-DimensionalFilaminsHumansPentacyclic TriterpenesPeroxiredoxinsProtein BindingProteolysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationcelastrolFilaminsPentacyclic TriterpenesPeroxiredoxinsPRDX2 protein, humanProteomeTriterpenescelastrolcolorectal cancerpulse proteolysistarget identificationthermal proteome profiling

Identifiers

PMID40480957
PMCPMC12235705

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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.