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Non-linear transcriptional responses to gradual modulation of transcription factor dosage

GSE257547 Homo sapiens Expression profiling by high throughput sequencing; Other 8 samples Submitted 2024/03/02 Platform GPL18573
Summary
Genomic loci associated with common traits and diseases are typically non-coding and likely impact gene expression, sometimes coinciding with rare loss-of-function variants in the target gene. However, our understanding of how gradual changes in gene dosage affect molecular, cellular, and organismal traits is currently limited. To address this gap, we induced gradual changes in gene expression of four genes using CRISPR activation and inactivation. Downstream transcriptional consequences of dosage modulation of three master trans-regulators associated with blood cell traits (GFI1B, NFE2, and MYB) was examined using targeted single-cell multimodal sequencing. We showed that guide tiling around the TSS is the most effective way to modulate cis gene expression across a wide range of fold-changes, with further effects from chromatin accessibility and histone marks that differ between the inhibition and activation systems. Our single-cell data allowed us to precisely detect subtle to large gene expression changes in dozens of trans genes, revealing that many responses to dosage changes of these three TFs are non-linear, including non-monotonic behaviours, even when constraining the fold-changes of the master regulators to a copy number gain or loss. We found that the dosage properties are linked to gene constraint and that some of these non-linear responses are enriched for disease and GWAS genes. Overall, our study provides a straightforward and scalable method to precisely modulate gene expression and gain insights into its downstream consequences at high resolution.
Published in
Nonlinear transcriptional responses to gradual modulation of transcription factor dosage
Domingo J, Minaeva M, Morris JA et al. · bioRxiv : the preprint server for biology 2025 · PMID 38464330 · doi:10.1101/2024.03.01.582837
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Also filed as BioProject PRJNA1080204 and SRA study SRP491598. Searching any of these in the dataset finder brings you back here.

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