Evidence map›Paper›PMID 40694594›Full record

ArticlePLoS genetics2025

Single-cell analysis of gene regulatory networks in the mammary glands of P4HA1-knockout mice.

Akshat Gupta, Lilin Huang, Jinpeng Liu, Ke Chen, Ren Xu, Wei Wu

Abstract read
In one paragraph

Article in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Akshat GuptaRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Lilin HuangRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID https://orcid.org/0009-0004-5579-1724
Jinpeng LiuMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Ke ChenRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Ren XuMarkey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America.
Wei WuRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID https://orcid.org/0000-0002-1411-9120

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
Roles of Hsp47 in Breast Cancer ProgressionR01CA207772 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI XU, REN · 2017 to 2025
$3.1M
Roles of mRNA Transfer in Cancer Cell-Platelet CommunicationR01CA277946 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI XU, REN · 2023 to 2025
$1.2M
The PLOD2/succinate axis in regulating cancer cell plasticity and stemnessR01CA274981 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI XU, REN · 2023 to 2025
$1.1M
NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA207772NCI NIH HHS R01 CA274981NCI NIH HHS R01 CA277946
6 · The paper itself

Abstract

Prolyl hydroxylation, catalyzed by collagen prolyl 4-hydroxylase (P4H), is a crucial post-translational modification involved in collagen biosynthesis. P4HA1, an isoform of P4H, plays a prominent role in stabilizing hypoxia-inducible factor-1α (HIF-1α). P4HA1 is frequently upregulated in highly aggressive triple-negative breast cancer, and has been implicated in tumor progression, metastasis, and chemoresistance. In this study, we investigated the role of P4HA1 in mouse mammary glands by analyzing gene regulatory networks (GRNs) in basal epithelial cells across two mouse groups: control (5Ht) and P4HA1-knockout (6Ho) mice. Specifically, we employed a single-cell network inference approach, integrating single-cell RNA sequencing with the SCENIC pipeline, and incorporated multiple validation strategies to construct gene regulatory networks (GRNs) specific to basal epithelial cells from each mouse group. Despite the inherent challenges of single-cell data, our approach identified reliable and reproducible GRN patterns across both the mouse groups. Based on these patterns, we identified subclusters of basal epithelial cells with similar regulatory profiles across the two mouse groups, as well as a unique subcluster in the control mice with a distinct regulatory pattern absent in the P4HA1-deficient 6Ho mice. This unique subcluster exhibited concurrent activation of stem cell development and inflammatory response pathways, suggesting the role of P4HA1 in regulating these biological processes linked to cancer initiation and progression. We verified these findings through multiple approaches, including in silico validation using multiple external datasets as well as experimental validation. Given that the loss of P4HA1 may disrupt stem cell development and inflammation response, our results suggest that targeting P4HA1 may offer a promising therapeutic strategy for breast cancer treatment.

Indexed as

Gene Regulatory NetworksMammary Glands, AnimalProcollagen-Proline DioxygenaseAnimalsEpithelial CellsFemaleHumansHypoxia-Inducible Factor 1, alpha SubunitMiceMice, KnockoutSingle-Cell AnalysisTriple Negative Breast NeoplasmsHypoxia-Inducible Factor 1, alpha SubunitProcollagen-Proline Dioxygenase

Identifiers

PMID40694594
PMCPMC12310035

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.