Evidence map›Paper›PMID 36414692›Full record

ReviewSeminars in immunopathology2023

Single-cell RNA-seq methods to interrogate virus-host interactions.

Kalani Ratnasiri, Aaron J Wilk, Madeline J Lee, Purvesh Khatri, Catherine A Blish

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Review
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  4. Article
  5. Article
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  14. Review
  15. Article
  16. Transcriptomics in the Study of Antiviral Innate Immunity.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  17. Artificial Intelligence Methods in Infection Biology Research.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  18. Article
  19. Unraveling flavivirus pathogenesis: from bulk to single-cell RNA-sequencing strategies.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024
    Review
  20. 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

5 authors.

Kalani Ratnasiri *Stanford Immunology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.ORCID 0000-0001-5953-0004
Aaron J Wilk *Stanford Immunology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.ORCID 0000-0003-1430-5852
Madeline J Lee *Stanford Immunology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.ORCID 0000-0001-5039-6806
Purvesh KhatriDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA. pkhatri@stanford.edu.ORCID 0000-0002-4143-4708
Catherine A BlishStanford Immunology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA. cblish@stanford.edu.ORCID 0000-0001-6946-7627

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
NIAID NIH HHS R01 AI125197NIAID NIH HHS T32 AI007290NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI109662NIH HHS F31 AI172311NIH HHS T32 AI00729037NIH HHS T32 GM007364NIH HHS U19AI109662
6 · The paper itself

Abstract

The twenty-first century has seen the emergence of many epidemic and pandemic viruses, with the most recent being the SARS-CoV-2-driven COVID-19 pandemic. As obligate intracellular parasites, viruses rely on host cells to replicate and produce progeny, resulting in complex virus and host dynamics during an infection. Single-cell RNA sequencing (scRNA-seq), by enabling broad and simultaneous profiling of both host and virus transcripts, represents a powerful technology to unravel the delicate balance between host and virus. In this review, we summarize technological and methodological advances in scRNA-seq and their applications to antiviral immunity. We highlight key scRNA-seq applications that have enabled the understanding of viral genomic and host response heterogeneity, differential responses of infected versus bystander cells, and intercellular communication networks. We expect further development of scRNA-seq technologies and analytical methods, combined with measurements of additional multi-omic modalities and increased availability of publicly accessible scRNA-seq datasets, to enable a better understanding of viral pathogenesis and enhance the development of antiviral therapeutics strategies.

Indexed as

COVID-19Host Microbial InteractionsGene Expression ProfilingHumansPandemicsSARS-CoV-2Sequence Analysis, RNASingle-Cell Gene Expression AnalysisAntiviral immunitySingle-cell RNA sequencingTranscriptomicsVirus

Identifiers

PMID36414692
PMCPMC9684776

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.