Evidence map›Paper›PMID 37442575›Full record

ArticleGenome research2023

Genetic control of the dynamic transcriptional response to immune stimuli and glucocorticoids at single-cell resolution.

Justyna A Resztak, Julong Wei, Samuele Zilioli, Edward Sendler, Adnan Alazizi, Henriette E Mair-Meijers, Peijun Wu, Xiaoquan Wen, Richard B Slatcher, Xiang Zhou and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  13. Single-cell genomics meets human genetics.Nature reviews. Genetics · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Justyna A Resztak *Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA.
Julong Wei *Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA.
Samuele ZilioliDepartment of Psychology, Wayne State University, Detroit, Michigan 48201, USA.
Edward SendlerCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA.
Adnan AlaziziCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA.
Henriette E Mair-MeijersCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA.
Peijun WuDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Xiaoquan WenDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0001-8990-2737
Richard B SlatcherDepartment of Psychology, University of Georgia, Athens, Georgia 30602, USA.
Xiang ZhouDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Francesca LucaCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA; fluca@wayne.edu rpique@wayne.edu.ORCID 0000-0001-8252-9052
Roger Pique-RegiCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA; fluca@wayne.edu rpique@wayne.edu.ORCID 0000-0002-1262-2275
Wayne State University · USUniversity of Michigan · USUniversity of Georgia · USUniversity of Rome Tor Vergata · IT

Funding

Risky Family Environments and Childhood AsthmaR01HL114097 · NHLBI · WAYNE STATE UNIVERSITY · PI SLATCHER, RICHARD B, ZILIOLI, SAMUELE · 2011 to 2019
$5.6M
Psychosocial and Genetic Effects on Gene Expression and AsthmaR01HL162574 · NHLBI · WAYNE STATE UNIVERSITY · PI Francesca Luca, Roger Pique-Regi · 2022 to 2026
$3.3M
Functional Characterization of the Genetic and Environmental Determinants of Complex TraitsR01GM109215 · NIGMS · WAYNE STATE UNIVERSITY · PI Francesca Luca, Roger Pique-Regi · 2014 to 2026
$3.2M
Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility: Administrative SupplementR35GM138121 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Xiaoquan Wen · 2020 to 2026
$2.4M
NHLBI NIH HHS R01 HL114097NHLBI NIH HHS R01 HL162574NIGMS NIH HHS R01 GM109215NIGMS NIH HHS R35 GM138121
6 · The paper itself

Abstract

Synthetic glucocorticoids, such as dexamethasone, have been used as a treatment for many immune conditions, such as asthma and, more recently, severe COVID-19. Single-cell data can capture more fine-grained details on transcriptional variability and dynamics to gain a better understanding of the molecular underpinnings of inter-individual variation in drug response. Here, we used single-cell RNA-seq to study the dynamics of the transcriptional response to glucocorticoids in activated peripheral blood mononuclear cells from 96 African American children. We used novel statistical approaches to calculate a mean-independent measure of gene expression variability and a measure of transcriptional response pseudotime. Using these approaches, we showed that glucocorticoids reverse the effects of immune stimulation on both gene expression mean and variability. Our novel measure of gene expression response dynamics, based on the diagonal linear discriminant analysis, separated individual cells by response status on the basis of their transcriptional profiles and allowed us to identify different dynamic patterns of gene expression along the response pseudotime. We identified genetic variants regulating gene expression mean and variability, including treatment-specific effects, and showed widespread genetic regulation of the transcriptional dynamics of the gene expression response.

Indexed as

COVID-19GlucocorticoidsChildGene Expression RegulationHumansLeukocytes, MononuclearGlucocorticoids

Identifiers

PMID37442575
PMCPMC10519413
OpenAlexW4384205255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.