ArticleJournal of proteome research2025
Dynamics of Single-Cell Protein Covariation during Epithelial-Mesenchymal Transition.
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. An erratum has been issued. Cited by 12 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
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.
Who cites it
12 citing papers in PubMed.
- Decoding epithelial-mesenchymal transitions with multi-omics.Nature reviews. Genetics · 2026Review
- High-throughput label-free single-cell proteomics enabled by multicolumn NanoLC.Nature communications · 2026Article
- Single-Cell Proteomic Technologies: Tools in the Quest for Principles.Annual review of biophysics · 2026Review
- Single-cell proteomics of Arabidopsis leaf mesophyll reveals dynamic protein responses to water-deficit stress.Genome biology · 2026Article
- Reconstructing and comparing signal transduction networks from single-cell protein quantification data.Bioinformatics (Oxford, England) · 2026Article
- High-Throughput Label-free Single-Cell Proteomics Enabled by Multicolumn NanoLC with a 5-min Cycle Time.Research square · 2025Article
- Principles of protein abundance regulation across single cells in a mammalian tissue.bioRxiv : the preprint server for biology · 2025Article
- Data-Independent Acquisition Shortens the Analytical Window of Single-Cell Proteomics to Fifteen Minutes in Capillary Electrophoresis Mass Spectrometry.Journal of proteome research · 2025Article
- Trends in Mass Spectrometry-Based Single-Cell Proteomics.Analytical chemistry · 2025Review
- Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP.Nature protocols · 2024Article
- Inferring post-transcriptional regulation within and across cell types in human testis.bioRxiv : the preprint server for biology · 2024Article
- DESP demixes cell-state profiles from dynamic bulk molecular measurements.Cell reports methods · 2024Article
Corrections and comments
- Erratum issued
- Update of
Authors and funding
4 authors.
Funding
Abstract
Physiological processes, such as the epithelial-mesenchymal transition (EMT), are mediated by changes in protein interactions. These changes may be better reflected in protein covariation within a cellular cluster than in the temporal dynamics of cluster-average protein abundance. To explore this possibility, we quantified proteins in single human cells undergoing EMT. Covariation analysis of the data revealed that functionally coherent protein clusters dynamically changed their protein-protein correlations without concomitant changes in the cluster-average protein abundance. These dynamics of protein-protein correlations were monotonic in time and delineated protein modules functioning in actin cytoskeleton organization, energy metabolism, and protein transport. These protein modules are defined by protein covariation within the same time point and cluster and, thus, reflect biological regulation masked by the cluster-average protein dynamics. Thus, protein correlation dynamics across single cells offers a window into protein regulation during physiological transitions.
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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.