ArticleMolecular cell2020
Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis.
Article in Molecular cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 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.
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Who cites it
77 citing papers in PubMed, 115 citations in OpenAlex.
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- ZEB1 drives terminal erythroid maturation by controlling the GATA2-KLF1 regulatory switch.Nucleic acids research · 2026Article
- Transcription factor NF-Y complex interacts with chromatin remodeling complexes SWI/SNF and RSC to coordinately regulate gene expression.Nucleic acids research · 2026Article
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- GATA2 Mediates Macrophage Proliferation During Atherosclerosis.Journal of the American Heart Association · 2025Article
- Mechanisms of Globin Gene Regulation in Mammals.Annual review of genetics · 2025Review
- QuickProt: A Bioinformatics and Visualization Tool for DIA and PRM Mass Spectrometry-Based Proteomics Datasets.Proteomics · 2025Article
- Trimodal Single-Cell Gene Regulatory Networks Reveal Principles of Stemness Loss and Cell Fate Acquisition in Human Hematopoiesis.bioRxiv : the preprint server for biology · 2025Article
- Short activation domains control chromatin association of transcription factors.bioRxiv : the preprint server for biology · 2025Article
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- When less is more: Counterintuitive stoichiometries and cellular abundances are essential for ABC transporters' function.Science advances · 2025Article
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- Interplay between pioneer transcription factors and epigenetic modifiers in cell reprogramming.Regenerative therapy · 2025Review
- From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation.Computational and structural biotechnology journal · 2025Article
- Tailoring a CRISPR/Cas-based Epigenome Editor for Programmable Chromatin Acylation and Decreased Cytotoxicity.bioRxiv : the preprint server for biology · 2024Article
- Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024Article
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- EP300/CREBBP acetyltransferase inhibition limits steroid receptor and FOXA1 signaling in prostate cancer cells.Cellular and molecular life sciences : CMLS · 2024Article
- Cell fate decision in erythropoiesis: Insights from multiomics studies.Experimental hematology · 2024Review
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 4 countries.
Funding
Abstract
Dynamic cellular processes such as differentiation are driven by changes in the abundances of transcription factors (TFs). However, despite years of studies, our knowledge about the protein copy number of TFs in the nucleus is limited. Here, by determining the absolute abundances of 103 TFs and co-factors during the course of human erythropoiesis, we provide a dynamic and quantitative scale for TFs in the nucleus. Furthermore, we establish the first gene regulatory network of cell fate commitment that integrates temporal protein stoichiometry data with mRNA measurements. The model revealed quantitative imbalances in TFs' cross-antagonistic relationships that underlie lineage determination. Finally, we made the surprising discovery that, in the nucleus, co-repressors are dramatically more abundant than co-activators at the protein level, but not at the RNA level, with profound implications for understanding transcriptional regulation. These analyses provide a unique quantitative framework to understand transcriptional regulation of cell differentiation in a dynamic context.
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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.