Evidence map›Paper›PMID 41446089›Full record

ArticlebioRxiv : the preprint server for biology2025

Glucocorticoids regulate the human non-coding genome.

Thai Tran, Robert Kwiat, Qilin Cao, Skyler Kuhn, Katherine N Howe, Manasi Gadkari, Luis M Franco

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.

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

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

7 authors.

Thai TranFunctional Immunogenomics Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Robert KwiatFunctional Immunogenomics Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Qilin CaoFunctional Immunogenomics Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Skyler KuhnIntegrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Katherine N HoweLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Manasi GadkariFunctional Immunogenomics Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.
Luis M FrancoFunctional Immunogenomics Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health. Bethesda, MD 20892. U.S.A.ORCID 0000-0002-0540-5942

Funding

Biomedical Data Science Training Program for Precision Health EquityT15LM013976 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI · 2022 to 2026
$1.9M
NLM NIH HHS T15 LM013976
6 · The paper itself

Abstract

Glucocorticoids (GCs) are widely used anti-inflammatory and immunosuppressive agents known to induce dramatic changes in gene expression, yet their effects on non-coding RNAs such as long non-coding RNAs (lncRNAs) or microRNAs (miRNAs) remain poorly characterized. We present the first comprehensive and systematic analysis of GC regulation of the non-coding genome across nine human primary cell types from both hematopoietic and non-hematopoietic lineages. In vitro GC treatment was applied to each cell type, with transcriptomic profiling (total RNA-seq and small RNA-seq) at 2 and 6 hours post-treatment. We identified over 2,000 GC-responsive non-coding transcripts, including 654 annotated lncRNAs, 1,376 novel lncRNAs, and 39 miRNAs. The non-coding RNA response to GCs was highly cell type-dependent: 80% of GC-responsive lncRNAs and 97% of miRNAs were unique to a single cell type. Hematopoietic cells exhibited a greater magnitude of lncRNA induction than non-hematopoietic cells. Notably, dozens of facultative lncRNAs (undetectable at baseline) were induced de novo by GC. GC-responsive transcripts spanned diverse lncRNA classes, with enrichment of host lncRNAs. By contrast, only a limited number of miRNAs were GC-responsive. GC regulation of transcript abundance for miRNAs and their host lncRNAs appears to be independent. Our results, which are accessible through an interactive web application, establish a framework for studying how non-coding transcription contributes to physiological and clinical heterogeneity in GC responses. The newly identified GC-responsive non-coding transcripts could represent biomarkers of GC exposure, determinants of GC sensitivity or resistance, or candidate regulators of tissue-specific GC effects.

Indexed as

CorticosteroidsGlucocorticoidsHumanLong Noncoding RNAMicroRNAmiRNARNA sequencingSmall RNASteroids

Identifiers

PMID41446089
PMCPMC12724699

What OpenQuestion holds

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LicenceCC0
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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.