Evidence map›Paper›PMID 39071425›Full record

ArticlebioRxiv : the preprint server for biology2024

Immune disease dialogue of chemokine-based cell communications as revealed by single-cell RNA sequencing meta-analysis.

Mouly F Rahman, Andre H Kurlovs, Munender Vodnala, Elamaran Meibalan, Terry K Means, Nima Nouri, Emanuele de Rinaldis, Virginia Savova

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

8 authors.

Mouly F RahmanPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0003-3425-0588
Andre H KurlovsPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0003-3212-0384
Munender VodnalaPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0002-6219-6243
Elamaran MeibalanPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0002-3832-8955
Terry K MeansImmunology & Inflammation Research Therapeutic Area, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0001-7622-0462
Nima NouriPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0001-8348-5717
Emanuele de RinaldisPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0002-0221-1114
Virginia SavovaPrecision Medicine and Computational Biology, Sanofi US, Cambridge, MA 02141, United States.ORCID 0000-0002-5387-4161

Funding

PEARL: Pathway Exploration and Analysis in Renal LupusUH2AR067688 · NIAMS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DIAMOND, BETTY, WOFSY, DAVID · 2014 to 2020
$9.0M
Tissue Acquisition Research GroupUM2AR067678 · NIAMS · STANFORD UNIVERSITY · PI HOLERS, VERNON MICHAEL, UTZ, PAUL JOSEPH · 2014 to 2020
$8.2M
Multi-Ethnic Translational Research Optimization (METRO) Lupus ConsortiumUH2AR067689 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUYON, JILL P, PUTTERMAN, CHAIM · 2014 to 2020
$6.3M
Evolving Adaptive and Effector Mechanisms from Pre-RA Through Established DiseaseUH2AR067681 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2014 to 2020
$5.5M
Molecular and Cellular Dissection of Early Rheumatoid ArthritisUH2AR067694 · NIAMS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI BRENNER, MICHAEL B., GREGERSEN, PETER K. · 2014 to 2020
$5.4M
RA-SLE Molecular Deconstruction Leadership CenterUH2AR067677 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2014 to 2020
$4.3M
Cellular Dynamics at the Synovium-Bone interface in RAUH2AR067690 · NIAMS · UNIVERSITY OF ROCHESTER · PI ANOLIK, JENNIFER HOWITT · 2014 to 2020
$3.0M
Stanford Technology Accelerating Medicines Partnership CenterUH2AR067676 · NIAMS · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H, UTZ, PAUL JOSEPH · 2014 to 2020
$2.6M
Accelerating Medicines Partnership in RA and Lupus: Network Sites (UH2/UH3)UH2AR067679 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 2014 to 2020
$2.1M
Molecular Pathways in Treatment Response and Flare in RAUH2AR067691 · NIAMS · HOSPITAL FOR SPECIAL SURGERY · PI BYKERK, VIVIAN P, IVASHKIV, LIONEL B · 2014 to 2020
$2.0M
UPITT Rheumatoid Arthritis Combined Center (UPITT RACC)UH2AR067685 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCGEACHY, MANDY J, MORELAND, LARRY W · 2014 to 2019
$1.2M
NIAMS NIH HHS UH2 AR067676NIAMS NIH HHS UH2 AR067677NIAMS NIH HHS UH2 AR067679NIAMS NIH HHS UH2 AR067681NIAMS NIH HHS UH2 AR067685NIAMS NIH HHS UH2 AR067688NIAMS NIH HHS UH2 AR067689NIAMS NIH HHS UH2 AR067690NIAMS NIH HHS UH2 AR067691NIAMS NIH HHS UH2 AR067694NIAMS NIH HHS UM2 AR067678
6 · The paper itself

Abstract

Immune-mediated diseases are characterized by aberrant immune responses, posing significant challenges to global health. In both inflammatory and autoimmune diseases, dysregulated immune reactions mediated by tissue-residing immune and non-immune cells precipitate chronic inflammation and tissue damage that is amplified by peripheral immune cell extravasation into the tissue. Chemokine receptors are pivotal in orchestrating immune cell migration, yet deciphering the signaling code across cell types, diseases and tissues remains an open challenge. To delineate disease-specific cell-cell communications involved in immune cell migration, we conducted a meta-analysis of publicly available single-cell RNA sequencing (scRNA-seq) data across diverse immune diseases and tissues. Our comprehensive analysis spanned multiple immune disorders affecting major organs: atopic dermatitis and psoriasis (skin), chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis (lung), ulcerative colitis (colon), IgA nephropathy and lupus nephritis (kidney). By interrogating ligand-receptor (L-R) interactions, alterations in cell proportions, and differential gene expression, we unveiled intricate disease-specific and common immune cell chemoattraction and extravasation patterns. Our findings delineate disease-specific L-R networks and shed light on shared immune responses across tissues and diseases. Insights gleaned from this analysis hold promise for the development of targeted therapeutics aimed at modulating immune cell migration to mitigate inflammation and tissue damage. This nuanced understanding of immune cell dynamics at the single-cell resolution opens avenues for precision medicine in immune disease management.

Indexed as

cell communicationchemokineextravasationimmune diseasemeta-analysisscRNA-seq

Identifiers

PMID39071425
PMCPMC11275869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.