Evidence for the digital programming of cellular differentiation: characterization of binary switches in lineage-determining transcription factors
Hongchuan LiiD, Md Ahasanur RahmaniD, Michael RueschiD, Caprice D. Eisele, Erik M. Anderson, Paul W. Wright, Jennie Cao, Shashikala RatnayakeiD, Qingrong CheniD, Chunhua YaniD, Daoud M. MeerzamaniD, Roshini Sarah AbrahamiD, Aharon G. FreudiD, Stephen K. AndersoniD
Abstract
Previous studies of the murine Ly49 and human KIR gene clusters have revealed a role for bidirectional promoters in the control of variegated gene expression. Whether or not competing promoters control other instances of cell fate determination remains an outstanding question. Although divergent transcripts within 300 bp are found in ~6% of human genes, an analysis of human transcription factor (TF) genes (1640) revealed that 33% possess stable divergent transcripts with a transcription start site (TSS) less than 300 bp upstream, with many separated by less than 30 bp, indicating an enrichment for potential binary switches in TFs. We have performed a detailed examination of putative bidirectional promoter switches in three lineage-determining TF genes: AHR, GATA3, and ROR{gamma}T. These genes also contain additional pairs of opposing promoters that would prevent simultaneous transcription of sense and antisense, and thus may represent simple on/off switches rather than probabilistic switches. In situ RNA hybridization of human tissues revealed mutually exclusive expression of sense versus antisense transcription, indicating switching between stable sense or antisense transcriptional states. Single-cell RNAseq confirmed the separate sense/antisense states, and revealed the identity of cells with active switch elements. Differential gene expression analysis of cells with antisense switch transcripts revealed an enrichment for genes found in immature/stem cells and a lack of genes associated with terminally differentiated cells. Taken together, these data indicate that there is a digital component to the differentiation program mediated by binary promoter switches in lineage-determining transcription factors.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- FWCI
- 0.53
- Field percentile
- top 42%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cell fate determination is associated with changes in competing transcriptional units in the human GATA1 and GATA2 lineage-determining transcription factors
Erik M Anderson, Hongchuan Li, … Stephen K. Anderson·bioRxiv·Nov 8, 2024
- High-resolution kinetic gene expression analysis of T helper cell differentiation reveals a STAT-dependent, unique transcriptional program in Th1/2 hybrid cells
P. Burt, M. Peine, … K. Thurley·bioRxiv·May 13, 2022
- Characterization of cell-fate decision landscapes by estimating transcription factor dynamics.
Sara Jiménez, Valérie Schreiber, … Nacho Molina·Cell Reports MethodsPeer-reviewed·Jun 22, 2023
- Identifying transcription factors driving cell differentiation
Paul Martini, Anne Hartebrodt, … David B. Blumenthal·bioRxiv·Jan 20, 2025
- RSC and GRFs confer promoter directionality by limiting divergent noncoding transcription
Andrew C.K. Wu, Claudia Vivori, … Folkert Jacobus van Werven·bioRxiv·Aug 16, 2021
- Synthetic enhancers reveal design principles of cell state specific regulatory elements in hematopoiesis
Robert Frömel, Julia Rühle, … Lars Velten·CellPeer-reviewed·May 8, 2025