Evidence map›Paper›PMID 36951513›Full record

ArticleFEBS letters2023

Multiscale network analysis identifies potential receptors for SARS-CoV-2 and reveals their tissue-specific and age-dependent expression.

Christian V Forst, Lu Zeng, Qian Wang, Xianxiao Zhou, Sezen Vatansever, Peng Xu, Won-Min Song, Zhidong Tu, Bin Zhang

Open access · hybridAbstract read
In one paragraph

Article in FEBS letters, 2023. 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
0.4field-weighted citation impact, top 43% of its field
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, 2 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Christian V ForstDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-0229-9459
Lu ZengDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Qian WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xianxiao ZhouDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sezen VatanseverDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Peng XuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Won-Min SongDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Zhidong TuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

Deciphering the Heterogeneous Response to Influenza by a Multi-Scale Systems ApproachR01AI170112 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTIAN FORST · 2022 to 2026
$3.1M
Human tissue specific age-related gene expression changes, their genetic regulations and the link to human diseasesR01AG055501 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TU, ZHIDONG · 2018 to 2022
$2.2M
Multi-scale analysis of single cell sequencing data to dissect the complexity of influenza infectionsR21AI149013 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FORST, CHRISTIAN, SONG, WON-MIN · 2020 to 2021
$466k
NIAID NIH HHS R01 AI170112NIAID NIH HHS R21 AI149013NIA NIH HHS R01 AG055501
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has affected tens of millions of individuals and caused hundreds of thousands of deaths worldwide. Here, we present a comprehensive, multiscale network analysis of the transcriptional response to the virus. In particular, we focused on key regulators, cell receptors, and host processes that were hijacked by the virus for its advantage. ACE2-controlled processes involved CD300e (a TYROBP receptor) as a key regulator and the activation of IL-2 pro-inflammatory cytokine signaling. We further investigated the age dependency of such receptors in different tissues. In summary, this study provides novel insights into the gene regulatory organization during the SARS-CoV-2 infection and the tissue-specific, age-dependent expression of the cell receptors involved in COVID-19.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2CytokinesHumansPeptidyl-Dipeptidase AAngiotensin-Converting Enzyme 2CytokinesPeptidyl-Dipeptidase Aage dependencyCD300eCOVID-19in silico validationmultiscale modeling

Identifiers

PMID36951513
PMCPMC10294276
OpenAlexW4360599654

What Socratic 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 Socratic graph.