Evidence map›Paper›PMID 35353808›Full record

ArticlePLoS genetics2022

RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells.

Xinxin Peng, Yikai Luo, Hongyue Li, Xuejiao Guo, Hu Chen, Xuwo Ji, Han Liang

Abstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The role of ADAR1 in human pathophysiology.Frontiers in cell and developmental biology · 2025
    Review
  6. Transcriptional Profiling of Filovirus-Infected Nonhuman Primate Samples.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Insight into the mechanisms of coronaviruses evading host innate immunity.Biochimica et biophysica acta. Molecular basis of disease · 2023
    Review
  16. Review
  17. Review
  18. Review
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

7 authors.

Xinxin PengPrecision Scientific (Beijing) Co., Ltd., Beijing, China.ORCID 0000-0002-1503-5404
Yikai LuoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0001-7589-7981
Hongyue LiPrecision Scientific (Beijing) Co., Ltd., Beijing, China.ORCID 0000-0003-3028-4246
Xuejiao GuoPrecision Scientific (Beijing) Co., Ltd., Beijing, China.ORCID 0000-0001-9442-8718
Hu ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0001-5472-7158
Xuwo JiPrecision Scientific (Beijing) Co., Ltd., Beijing, China.ORCID 0000-0002-5253-6523
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0001-7633-286X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is a positive-sense, single-stranded RNA virus responsible for the COVID-19 pandemic. It remains unclear whether and to what extent the virus in human host cells undergoes RNA editing, a major RNA modification mechanism. Here we perform a robust bioinformatic analysis of metatranscriptomic data from multiple bronchoalveolar lavage fluid samples of COVID-19 patients, revealing an appreciable number of A-to-I RNA editing candidate sites in SARS-CoV-2. We confirm the enrichment of A-to-I RNA editing signals at these candidate sites through evaluating four characteristics specific to RNA editing: the inferred RNA editing sites exhibit (i) stronger ADAR1 binding affinity predicted by a deep-learning model built from ADAR1 CLIP-seq data, (ii) decreased editing levels in ADAR1-inhibited human lung cells, (iii) local clustering patterns, and (iv) higher RNA secondary structure propensity. Our results have critical implications in understanding the evolution of SARS-CoV-2 as well as in COVID-19 research, such as phylogenetic analysis and vaccine development.

Indexed as

COVID-19SARS-CoV-2Adenosine DeaminaseHumansNucleotidesPandemicsPhylogenyRNARNA EditingAdenosine DeaminaseNucleotidesRNA

Identifiers

PMID35353808
PMCPMC9000099

What OpenQuestion holds

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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.