Evidence map›Paper›PMID 38008383›Full record

ReviewVirologica Sinica2024

Single-cell RNA sequencing to understand host-virus interactions.

Jia-Tong Chang, Li-Bo Liu, Pei-Gang Wang, Jing An

Abstract readReview
In one paragraph

Review in Virologica Sinica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

4 authors.

Jia-Tong ChangDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Li-Bo LiuDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Pei-Gang WangDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China. Electronic address: pgwang@ccmu.edu.cn.
Jing AnDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China. Electronic address: anjing@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has allowed for the profiling of host and virus transcripts and host-virus interactions at single-cell resolution. This review summarizes the existing scRNA-seq technologies together with their strengths and weaknesses. The applications of scRNA-seq in various virological studies are discussed in depth, which broaden the understanding of the immune atlas, host-virus interactions, and immune repertoire. scRNA-seq can be widely used for virology in the near future to better understand the pathogenic mechanisms and discover more effective therapeutic strategies.

Indexed as

Gene Expression ProfilingHost Microbial InteractionsSequence Analysis, RNACOVID-19FlavivirusHost-virus interactionSingle-cell RNA sequencing (scRNA-seq)

Identifiers

PMID38008383
PMCPMC10877424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.