ArticleNature biotechnology2014
Global analysis of protein structural changes in complex proteomes.
Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers.
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.
The trial behind it
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Who cites it
198 citing papers in PubMed.
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- Members of the RhoA subfamily of GTPases suppress the stimulatory effect of the HPV E6 oncoprotein on the ubiquitin ligase E6AP.Scientific reports · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- High-Ratio Partial Proteolysis with Carrier Proteome (HOLSER) Enables Global Structure Profiling and Site-Resolved Elucidation of Ligand-Protein Interactions.Analytical chemistry · 2026Article
- DT-TRAP enables accurate target recognition via simplified dosing and low-temperature incubation.Journal of pharmaceutical analysis · 2026Article
- Metabolite-mediated plant immunity: From traditional defenders to artificial elicitors.Journal of integrative plant biology · 2026Review
- Detecting protein higher-order structural changes using kinase as a phospho-labeler.Cell reports methods · 2026Article
- High-throughput ligand discovery in living cells using the cellular protein stability enhancement assay.Acta pharmaceutica Sinica. B · 2026Article
- Mechanism of palytoxin-induced ferroptosis in HaCaT cells via targeting TrxR1.Cell biology and toxicology · 2026Article
- Structure-function relationship of alpha-synuclein fibrillar polymorphs derived from distinct synucleinopathies.Molecular systems biology · 2026Article
- Limited Proteolysis Mass Spectrometry to Identify Protein Structural Differences in Brain Tissue.Bio-protocol · 2026Article
- Structural alterations in PPP1R13L, SAE1, ATP5A1 and PCK2 disrupt NF-κB signalling and mitochondrial metabolism in primary dermal fibroblasts in systemic sclerosis.Rheumatology (Oxford, England) · 2026Article
- 3D Proteomics: Structural, Functional, Chemical and Biomarker Discovery Proteomics With LiP-MS.Molecular & cellular proteomics : MCP · 2026Review
- Label-Free Target Discovery Strategy for Natural Active Products.Biomolecules · 2026Review
- Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026Review
- Limited proteolysis-coupled mass spectrometry captures proteome-wide protein structural alterations and biomolecular condensation in living cells.Molecular systems biology · 2026Article
- Advancing DIA-Based Limited Proteolysis Workflows: Introducing DIA-LiPA.Analytical chemistry · 2026Article
138 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Changes in protein conformation can affect protein function, but methods to probe these structural changes on a global scale in cells have been lacking. To enable large-scale analyses of protein conformational changes directly in their biological matrices, we present a method that couples limited proteolysis with a targeted proteomics workflow. Using our method, we assessed the structural features of more than 1,000 yeast proteins simultaneously and detected altered conformations for ~300 proteins upon a change of nutrients. We find that some branches of carbon metabolism are transcriptionally regulated whereas others are regulated by enzyme conformational changes. We detect structural changes in aggregation-prone proteins and show the functional relevance of one of these proteins to the metabolic switch. This approach enables probing of both subtle and pronounced structural changes of proteins on a large scale.
Indexed as
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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 OpenQuestion graph.