Evidence map›Paper›PMID 33785729›Full record

ArticleCell discovery2021

Integrated characterization of SARS-CoV-2 genome, microbiome, antibiotic resistance and host response from single throat swabs.

Bo Lu, Yi Yan, Liting Dong, Lingling Han, Yawei Liu, Junping Yu, Jianjun Chen, Danyang Yi, Meiling Zhang, Xin Deng and 6 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cell discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Community heterogeneity scaling of gut microbiomes across Chinese ethnicities and lifestyles appears invariant.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 2 countries.

Bo Lu *State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China.
Yi Yan *CAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.ORCID http://orcid.org/0000-0001-8195-3628
Liting Dong *State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China.
Lingling Han *GrandOmics Biosciences, Wuhan, Hubei, 430000, China.
Yawei Liu *Department of Gastroenterology, The First Medical Center of PLA General Hospital/Chinese PLA Postgraduate Military Medical School, Beijing, 100853, China.
Junping YuCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.
Jianjun ChenCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.
Danyang YiState Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China.
Meiling ZhangState Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China.
Xin DengDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong, China.
Chao WangGrandOmics Biosciences, Wuhan, Hubei, 430000, China.
Runkun WangGrandOmics Biosciences, Wuhan, Hubei, 430000, China.
Dengpeng WangGrandOmics Biosciences, Wuhan, Hubei, 430000, China. wangdp@grandomics.com.
Hongping WeiCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China. hpwei@wh.iov.cn.
Di LiuCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China. liud@wh.iov.cn.
Chengqi YiState Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China. chengqi.yi@pku.edu.cn.ORCID http://orcid.org/0000-0003-2540-9729
Peking University · CNChinese Academy of Sciences · CNNextomics Biosciences (China) · CNChinese PLA General Hospital · CNCity University of Hong Kong · HKXinjiang Medical University · CN

Funding

Beijing Municipal Science and Technology Commission Z201100008320024National Natural Science Foundation of China (National Science Foundation of China) 21825701National Natural Science Foundation of China (National Science Foundation of China) 31861143026National Natural Science Foundation of China (National Science Foundation of China) 91940304
6 · The paper itself

Abstract

The ongoing coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, poses a severe threat to humanity. Rapid and comprehensive analysis of both pathogen and host sequencing data is critical to track infection and inform therapies. In this study, we performed unbiased metatranscriptomic analysis of clinical samples from COVID-19 patients using a recently developed RNA-seq library construction method (TRACE-seq), which utilizes tagmentation activity of Tn5 on RNA/DNA hybrids. This approach avoids the laborious and time-consuming steps in traditional RNA-seq procedure, and hence is fast, sensitive, and convenient. We demonstrated that TRACE-seq allowed integrated characterization of full genome information of SARS-CoV-2, putative pathogens causing coinfection, antibiotic resistance, and host response from single throat swabs. We believe that the integrated information will deepen our understanding of pathogenesis and improve diagnostic accuracy for infectious diseases.

Identifiers

PMID33785729
PMCPMC8008776
OpenAlexW3150714932

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.