Evidence map›Paper›PMID 41924239›Full record

ArticleBio-protocol2026

A Novel Sequencing Method for Quantification of ZIKV RNA in Individual Cells.

Min Hao, Yisong Wang, Dianyi Du, Wenrong Yang, Qiuzhe Guo, MingJing Tang, Libo Liu, Wei Yang, Yuxuan Liu, Chunyuan Luo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Min HaoFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Yisong WangDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Dianyi DuFifth Medical Center of PLA General Hospital, Beijing, China.
Wenrong YangFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Qiuzhe GuoFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
MingJing TangFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Libo LiuDepartment of Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China.
Wei YangNational Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, NHC Key Laboratory of Comparative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuxuan LiuDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Chunyuan LuoFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Jing ChenFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Peigang WangDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Jing AnDepartment of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Yang ZhouFuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) is a powerful technique for exploring cellular heterogeneity and host-pathogen interactions. This protocol details the Zika virus (ZIKV)-targeted scRNA-seq workflow for preparing high-quality single-cell suspensions from the whole brain tissues of neonatal mice, high-quality single-cell sorting, cDNA reverse transcription, amplification, ZIKV enrichment and host transcriptome library preparation, and sequencing dataset integration in downstream analysis to complete the quantification of ZIKV RNA in individual cells. Key features • Preparation of high-quality single-cell suspensions from the whole brain tissues of neonatal mice. • ZIKV-specific magnetic beads for using the ZIKV and host cell RNA capture. • ZIKV enrichment and host transcriptome library construction, providing a framework for quantifying viral load within individual cells. • Integration of viral enrichment and host transcriptomic datasets enables the visualization and quantification of ZIKV at single-cell resolution.

Indexed as

Mouse brain cell isolationTargeted single-cell RNA sequencingVirus enrichment and host transcriptome librariesVirus quantificationZika virus

Identifiers

PMID41924239
PMCPMC13037782

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.