PreprintCited by 6Genomics and Chromatin DynamicsCRISPR and Genetic EngineeringGene Regulatory Network Analysis

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

Open access
Domingo, Júlia, Minaeva, Mariia, Morris, John A, Ghatan, Sam, Ziosi, Marcello, Sanjana, Neville E, Lappalainen, Tuuli·2024·eLife

Abstract

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) were 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 modu…

Integrity signals

Registry

Crossref · 10.7554/elife.100555.1

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Domingo, J., Minaeva, M., Morris, J. A., Ghatan, S., Ziosi, M., Sanjana, N. E., & Lappalainen, T.
Affiliations
  • New York Genome Center (US)
  • Science for Life Laboratory (SE)
Venue
eLife
Published
2024-12-17
ISSN
2050-084X (ISSN-L)
OpenAlex
W4405498103
Cited by
6
References
7
Citations by year
2026: 5 · 2025: 1
Type
posted content
Language
en
Open access
Locations
eLife (acceptedVersion, cc-by)
Funders
  • National Institute of Mental Health (R01MH106842)
  • National Institute on Aging (R01AG057422)
  • National Human Genome Research Institute (DP2HG010099, R01HG012790, K99HG012792)
  • National Institute of General Medical Sciences (R01GM122924)
  • Knut and Alice Wallenberg Foundation (KAW 2020.0239)
  • European Research Council (10.3030/101043238)
  • European Molecular Biology Organization (ALTF 345-2021)
  • Canadian Institutes of Health Research
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
transcription factor dosage, CRISPR activation, GFI1B, NF-E2, MYB, blood cell traits, chromatin accessibility, histone modifications, disease-associated genes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review