Evidence map›Paper›PMID 41074190›Full record

ArticleGenome biology2025

A novel gene expression stability metric to unveil homeostasis and regulation.

Mengjie Chen

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Mengjie ChenDepartment of Medicine, Department of Human Genetics, Department of Statistics, University of Chicago, Chicago, USA. mengjiechen@uchicago.edu.ORCID http://orcid.org/0000-0003-1579-087X

Funding

New directions in single cell genomics method developmentR01GM126553 · NIGMS · UNIVERSITY OF CHICAGO · PI Mengjie Chen · 2017 to 2026
$2.9M
Develop new bioinformatics infrastructures and computational tools for epitranscriptomics dataR01HG012927 · NHGRI · UNIVERSITY OF CHICAGO · PI Mengjie Chen · 2023 to 2026
$1.6M
Developing new computational tools for spatial transcriptomics dataR01HG011883 · NHGRI · UNIVERSITY OF CHICAGO · PI CHEN, MENGJIE, ZHOU, XIANG · 2021 to 2024
$1.5M
NHGRI NIH HHS HG011883NHGRI NIH HHS HG012927NHGRI NIH HHS R01 HG011883NHGRI NIH HHS R01 HG012927NIGMS NIH HHS GM126553NIGMS NIH HHS R01 GM126553
6 · The paper itself

Abstract

We explore the concept of gene expression stability within a homeostatic cell through the gene homeostasis Z-index, a measure that highlights genes under active regulation in response to internal and external stimuli. The Z-index uncovers distinct regulatory activities and patterns driven by a small subset of cells, providing insights that traditional mean-based methods often overlook. By capturing subtle regulatory dynamics, this approach highlights the importance of stability metrics in uncovering detailed gene regulation patterns that underpin cellular adaptation.

Indexed as

Gene Expression RegulationHomeostasisHumans

Identifiers

PMID41074190
PMCPMC12512952

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.