ArticleCell2023
A transcription factor atlas of directed differentiation.
Article in Cell, 2023. 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 153 papers.
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.
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
153 citing papers in PubMed.
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- Programmable promoter editing for precise control of transgene expression.Nature biotechnology · 2026Article
- Characterizing and mitigating cross-library PCR chimeras in Perturb-seq using Perturb-Audit.Blood science (Baltimore, Md.) · 2026Article
- Laminin β4 is required for the development of human peripheral sensory neurons.Development (Cambridge, England) · 2026Article
- PRDM16 modulates aspects of cell cycle dynamics and maturation in human iPSC-derived cardiomyocytes.Stem cell reports · 2026Article
- Article
- Finding the perfect promoter for Cas9 in homing gene drives using single cell transcriptome data.Nature communications · 2026Article
- Generation of synthetic vascular organoids via orthogonal programming of human pluripotent stem cells.Cell regeneration (London, England) · 2026Article
- Buffering of gene dosage response curves for human complex traits.Cell genomics · 2026Article
- Synthetic developmental engineering of human liver organogenesis.Development (Cambridge, England) · 2026Review
- Protocol for identifying cellular reprogramming minimal networks using combinatorial transcription factor screening.STAR protocols · 2026Article
- Sgf29 regulates pluripotency by maintaining chromatin accessibility and promoting the expression of core transcription factors.Science China. Life sciences · 2026Article
- Highly Constrained Kinetic Models for Single-Cell Gene Expression Analysis.bioRxiv : the preprint server for biology · 2026Article
- Combinatorial transcription factor interactions drive modular gene regulatory networks.bioRxiv : the preprint server for biology · 2026Article
- Probing transcription factor subsets in gene regulatory networks.Algorithms for molecular biology : AMB · 2026Article
- Functional chromatin signatures premark future lineage-specific enhancers.Cell genomics · 2026Article
- BART-spatial unravels biologically significant transcriptional regulators from spatial omics data.bioRxiv : the preprint server for biology · 2026Article
- Comparative theranostic efficacy ofEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Tissue-specific I-Smad mechanisms revealed by structure-function analysis inLife science alliance · 2026Article
- TxPert: using multiple knowledge graphs for prediction of transcriptomic perturbation effects.Nature biotechnology · 2026Article
93 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
18 authors.
Funding
Abstract
Transcription factors (TFs) regulate gene programs, thereby controlling diverse cellular processes and cell states. To comprehensively understand TFs and the programs they control, we created a barcoded library of all annotated human TF splice isoforms (>3,500) and applied it to build a TF Atlas charting expression profiles of human embryonic stem cells (hESCs) overexpressing each TF at single-cell resolution. We mapped TF-induced expression profiles to reference cell types and validated candidate TFs for generation of diverse cell types, spanning all three germ layers and trophoblasts. Targeted screens with subsets of the library allowed us to create a tailored cellular disease model and integrate mRNA expression and chromatin accessibility data to identify downstream regulators. Finally, we characterized the effects of combinatorial TF overexpression by developing and validating a strategy for predicting combinations of TFs that produce target expression profiles matching reference cell types to accelerate cellular engineering efforts.
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What OpenQuestion holds
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.