ArticleNature communications2023
Improved in situ characterization of protein complex dynamics at scale with thermal proximity co-aggregation.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- DT-TRAP enables accurate target recognition via simplified dosing and low-temperature incubation.Journal of pharmaceutical analysis · 2026Article
- Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling.Cell systems · 2026Review
- Discovering Glycosylation-Dependent Protein Function by Thermal Proteome Profiling.bioRxiv : the preprint server for biology · 2025Article
- MAP-X reveals distinct protein complex dynamics across Plasmodium falciparum blood stages.Nature microbiology · 2025Article
- Sequestration of ribosome biogenesis factors in HSV-1 nuclear aggregates revealed by spatially resolved thermal profiling.Science advances · 2025Article
- Thermal Proteome Profiling Reveals Meltome Upon NLRP3 Inflammasome Activation.Molecular & cellular proteomics : MCP · 2025Article
- Applications of the Cellular Thermal Shift Assay to Drug Discovery in Natural Products: A Review.International journal of molecular sciences · 2025Review
- Unraveling systemic responses to NQO1-activated IB-DNQ and Rucaparib single and dual agent therapy in triple-negative breast cancers.bioRxiv : the preprint server for biology · 2025Article
- Introducing dysfunctional Protein-Protein Interactome (dfPPI) - A platform for systems-level protein-protein interaction (PPI) dysfunction investigation in disease.Current opinion in structural biology · 2024Review
- IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data.Briefings in bioinformatics · 2024Article
- Improved in situ characterization of protein complex dynamics at scale with thermal proximity co-aggregation.Nature communications · 2023Article
- Mapping protein-protein interactions by mass spectrometry.Mass spectrometry reviewsReview
- Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
Cellular activities are carried out vastly by protein complexes but large repertoire of protein complexes remains functionally uncharacterized which necessitate new strategies to delineate their roles in various cellular processes and diseases. Thermal proximity co-aggregation (TPCA) is readily deployable to characterize protein complex dynamics in situ and at scale. We develop a version termed Slim-TPCA that uses fewer temperatures increasing throughputs by over 3X, with new scoring metrics and statistical evaluation that result in minimal compromise in coverage and detect more relevant complexes. Less samples are needed, batch effects are minimized while statistical evaluation cost is reduced by two orders of magnitude. We applied Slim-TPCA to profile K562 cells under different duration of glucose deprivation. More protein complexes are found dissociated, in accordance with the expected downregulation of most cellular activities, that include 55S ribosome and respiratory complexes in mitochondria revealing the utility of TPCA to study protein complexes in organelles. Protein complexes in protein transport and degradation are found increasingly assembled unveiling their involvement in metabolic reprogramming during glucose deprivation. In summary, Slim-TPCA is an efficient strategy for characterization of protein complexes at scale across cellular conditions, and is available as Python package at https://pypi.org/project/Slim-TPCA/ .
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Registered trials
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 Socratic graph.