Evidence map›Paper›PMID 41473285›Full record

ArticlebioRxiv : the preprint server for biology2025

Single Nucleus MultiOmics Links Novel Transcription Factor Motifs to Murine Hepatic Sex Differences in Chromatin Accessibility and Metabolic Dysfunction-Associated Steatotic Liver Disease.

Kritika Karri, Ting-Ya Chang, Maxim Pyatkov, Shashi Gandhi, Trevor Siggers, David J Waxman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kritika KarriDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.
Ting-Ya ChangDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.
Maxim PyatkovDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.
Shashi GandhiDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.
Trevor SiggersDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.
David J WaxmanDepartment of Biology and Bioinformatics Program Boston University, Boston, MA 02215 USA.ORCID 0000-0001-7982-9206

Funding

Growth Hormone Regulation of Sex Differences in Liver MetabolismR01DK121998 · NIDDK · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WAXMAN, DAVID J · 2019 to 2023
$2.5M
NIDDK NIH HHS R01 DK121998
6 · The paper itself

Abstract

The liver exhibits striking sexual dimorphism in gene expression that impacts drug and lipid metabolism and disease susceptibility, with males showing substantially higher predisposition to metabolic dysfunction-associated steatotic liver disease (MASLD) and its complications including hepatocellular carcinoma. These sex differences are primarily controlled by sexually dimorphic pituitary growth hormone (GH) secretion patterns; however, the underlying transcriptional and epigenetic regulatory networks remain only partially understood. Here, we generated paired single-nucleus chromatin accessibility (snATAC-seq) and gene expression (snRNA-seq) profiles from 46,188 liver nuclei isolated from male, female and continuous GH-infused male mice to comprehensively map the epigenetic basis of hepatic sexual dimorphism. We identified 127,957 accessible chromatin regions genome-wide, including thousands of novel regions enriched specifically in non-parenchymal cells. Sex-biased differentially accessible chromatin regions (DARs) were almost exclusively hepatocyte-localized, and continuous GH infusion feminized their accessibility, demonstrating that plasma GH patterns alone are sufficient to reprogram sex-biased hepatocyte chromatin landscapes. Correlation-based peak-to-gene linkage analysis mapped these DARs to sex-biased gene targets and revealed that regulatory interactions are constrained by topologically associated domain boundaries. Motif enrichment analysis identified both established regulators (STAT5, CUX2, BCL6) and novel transcription factors (TFs) at sex-biased DARs. ATAC-seq footprinting revealed novel TF motifs predicted to be occupied at DARs linked to sex-biased genes implicated in MASLD, providing mechanistic insights into the male bias in fatty liver disease. Further, motif co-occurrence analysis revealed TF clusters likely cooperating to regulate sex-dependent gene expression programs. We also identified stringently cell type-specific regulatory regions with cell type-specific TF motifs that define the regulatory architecture underlying hepatocyte and non-parenchymal cell identities. This comprehensive multiOmic atlas elucidates TF networks controlling sex-dependent liver gene expression and serves as a foundational resource for understanding molecular mechanisms underlying sex disparities in MASLD and other liver diseases.

Identifiers

PMID41473285
PMCPMC12746551

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