Evidence map›Paper›PMID 34127975›Full record

ArticlebioRxiv : the preprint server for biology2021

Implicating Gene and Cell Networks Responsible for Differential COVID-19 Host Responses via an Interactive Single Cell Web Portal.

Kang Jin, Eric E Bardes, Alexis Mitelpunkt, Jake Y Wang, Surbhi Bhatnagar, Soma Sengupta, Daniel Pomeranz Krummel, Marc E Rothenberg, Bruce J Aronow

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Kang JinDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Eric E BardesDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Alexis MitelpunktDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Jake Y WangDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Surbhi BhatnagarDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Soma SenguptaDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.
Daniel Pomeranz KrummelDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.
Marc E RothenbergDivision of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, 45229, USA.
Bruce J AronowDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
University of Cincinnati · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
The LungMAP Data Coordination Center for Next Gen Systems Biology of RespirationU24HL148865 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Bruce J Aronow, Nathan G. Salomonis · 2019 to 2026
$12.4M
NHLBI NIH HHS U24 HL148865NIDDK NIH HHS P30 DK078392
6 · The paper itself

Abstract

Numerous studies have provided single-cell transcriptome profiles of host responses to SARS-CoV-2 infection. Critically lacking however is a datamine that allows users to compare and explore cell profiles to gain insights and develop new hypotheses. To accomplish this, we harmonized datasets from COVID-19 and other control condition blood, bronchoalveolar lavage, and tissue samples, and derived a compendium of gene signature modules per cell type, subtype, clinical condition, and compartment. We demonstrate approaches to probe these via a new interactive web portal (http://toppcell.cchmc.org/COVID-19). As examples, we develop three hypotheses: (1) a multicellular signaling cascade among alternatively differentiated monocyte-derived macrophages whose tasks include T cell recruitment and activation; (2) novel platelet subtypes with drastically modulated expression of genes responsible for adhesion, coagulation and thrombosis; and (3) a multilineage cell activator network able to drive extrafollicular B maturation via an ensemble of genes strongly associated with risk for developing post-viral autoimmunity.

Indexed as

antiviral host defenseautoimmune disorderbronchoalveolar lavageCOVID-19host-pathogen cell atlasinflammatory thrombosisinteractive dataminingplateletsSARS-CoV-2single-cell RNA-seqsystems biology

Identifiers

PMID34127975
PMCPMC8202427
OpenAlexW3166626417

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.