Evidence map›Paper›PMID 40858611›Full record

ArticleNature communications2025

scIVNL-seq resolves in vivo single-cell RNA dynamics of immune cells during Salmonella infection.

Zhen Xiong, Runyuan Wu, Yuanxin Wang, Yuwei Xu, Cunzhen Li, Deyuan Kong, Ziqi Xiao, Peikang Zhang, Zhonglong Wang, Peng Zhang and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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. Microorganisms · 2026
    Review
  3. 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

15 authors.

Zhen Xiong *State Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Runyuan Wu *State Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Yuanxin Wang *State Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Yuwei XuState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Cunzhen LiState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Deyuan KongNanjing Medical University, Nanjing, China.
Ziqi XiaoState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Peikang ZhangState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Zhonglong WangState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Peng ZhangState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-9303-1639
Ying DuState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Hui GuoState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Pingping ZhuSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Shunmin HeState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. heshunmin@ibp.ac.cn.ORCID http://orcid.org/0000-0002-7294-0865
Zusen FanState Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. fanz@ibp.ac.cn.ORCID http://orcid.org/0000-0002-7866-8217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune response against pathogens involves multiple cell state transitions and complex gene expression changes. Here, we establish a single-cell in vivo new RNA labeling sequencing method (scIVNL-seq) and apply it to survey time-resolved RNA dynamics during immune response to acute enteric infection with Salmonella. We show that the detection of new RNA synthesis reflects more realistic information on cell activation and gene transcription than total RNA level. Interplay of RNA synthesis and degradation modulates the dynamics of total RNA. The bone marrow macrophages are first primed at a very early stage upon Salmonella infection. In contrast, the innate immune response of macrophages in intestine is limited. Notably, intestinal CD8

Indexed as

RNASalmonella InfectionsSequence Analysis, RNASingle-Cell AnalysisAdaptive ImmunityAnimalsCD8-Positive T-LymphocytesFemaleImmunity, InnateIntestinesMacrophagesMiceMice, Inbred C57BLSalmonellaSalmonella typhimuriumRNA

Identifiers

PMID40858611
PMCPMC12381063

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.