Evidence map›Paper›PMID 38034398›Full record

ArticleComputational and structural biotechnology journal2023

Multi-omic analysis characterizes molecular susceptibility of receptors to SARS-CoV-2 spike protein.

Fanjie Wu, Chenghao Lin, Yutong Han, Dingli Zhou, Kang Chen, Minglei Yang, Qinyuan Xiao, Haiyue Zhang, Weizhong Li

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Decoding the cross-immune pressure: Dengue's role in SARS-CoV-2 evolution.Computational and structural biotechnology journal · 2025
    Article
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.

Fanjie WuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Chenghao LinZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Yutong HanZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Dingli ZhouZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Kang ChenZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Minglei YangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Qinyuan XiaoZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Haiyue ZhangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Weizhong LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the post COVID-19 era, new SARS-CoV-2 variant strains may continue emerging and long COVID is poised to be another public health challenge. Deciphering the molecular susceptibility of receptors to SARS-CoV-2 spike protein is critical for understanding the immune responses in COVID-19 and the rationale of multi-organ injuries. Currently, such systematic exploration remains limited. Here, we conduct multi-omic analysis of protein binding affinities, transcriptomic expressions, and single-cell atlases to characterize the molecular susceptibility of receptors to SARS-CoV-2 spike protein. Initial affinity analysis explains the domination of delta and omicron variants and demonstrates the strongest affinities between BSG (CD147) receptor and most variants. Further transcriptomic data analysis on 4100 experimental samples and single-cell atlases of 1.4 million cells suggest the potential involvement of BSG in multi-organ injuries and long COVID, and explain the high prevalence of COVID-19 in elders as well as the different risks for patients with underlying diseases. Correlation analysis validated moderate associations between BSG and viral RNA abundance in multiple cell types. Moreover, similar patterns were observed in primates and validated in proteomic expressions. Overall, our findings implicate important therapeutic targets for the development of receptor-specific vaccines and drugs for COVID-19.

Indexed as

Binding affinityBSGLong COVIDSARS-CoV-2 variant strainSingle-cell atlasSpike receptorTranscriptomic analysis

Identifiers

PMID38034398
PMCPMC10681948
OpenAlexW4388579866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.