Evidence map›Paper›PMID 42827263›Full record

ReviewParasites & vectors2026

Single-cell RNA sequencing unravels mosquito biology and host-pathogen interactions.

Li-Bo Liu, Hao-Bo Ye, Zu-Hang Tian, Xiao-Hui Zeng, Jia-Hong Wu

Abstract readReview
In one paragraph

Review in Parasites & vectors, 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

5 authors.

Li-Bo Liu *Guizhou Key Laboratory of Microbio and Infectious Disease Prevention and Control, School of Basic Medicine, Guizhou Medical University, Guiyang, 561113, Guizhou, China.
Hao-Bo Ye *Guizhou Key Laboratory of Microbio and Infectious Disease Prevention and Control, School of Basic Medicine, Guizhou Medical University, Guiyang, 561113, Guizhou, China.
Zu-Hang TianGuizhou Key Laboratory of Microbio and Infectious Disease Prevention and Control, School of Basic Medicine, Guizhou Medical University, Guiyang, 561113, Guizhou, China.
Xiao-Hui ZengGuizhou Key Laboratory of Microbio and Infectious Disease Prevention and Control, School of Basic Medicine, Guizhou Medical University, Guiyang, 561113, Guizhou, China.
Jia-Hong WuGuizhou Key Laboratory of Microbio and Infectious Disease Prevention and Control, School of Basic Medicine, Guizhou Medical University, Guiyang, 561113, Guizhou, China. jiahongwu2008@hotmail.com.

Funding

Central-Guided Local Science and Technology Projects of Guizhou Province, China Qiankehe[2025]024Guizhou Provincial Basic Research Program (Natural Science) QKHJC[2024]Youth219National Key Research and Development Program of China 2024YFC2607801National Natural Science Foundation of China 82502712Science and Technology Innovation Talent Team of Guizhou Province Qian Ke He Platform Talent-CXTD[2022]004
6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) is fundamentally reshaping the research paradigm of mosquito biology and host-pathogen interactions via its high-resolution transcriptomic profiling capability. This review first outlines the technical workflow and data analysis strategies of scRNA-seq, then highlights key applications of scRNA-seq in constructing mosquito cell atlases, deciphering post-blood-meal transcriptional remodeling, sexual dimorphism, and receptor coexpression patterns. Furthermore, the role of scRNA-seq in revealing the cellular tropism of mosquito-borne pathogens, host immune responses, and the identification of potential intervention targets is discussed. Despite current challenges such as the lack of specific cell markers and insufficient functional validation, scRNA-seq has provided a novel perspective for understanding mosquito biology at the single-cell level and laid an important foundation for developing targeted vector control strategies. Looking forward, integration with spatial transcriptomics, multiomics approaches, and dynamic experimental validation will further advance this field toward mechanistic research and translational applications.

Indexed as

CulicidaeHost-Pathogen InteractionsMosquito VectorsSequence Analysis, RNASingle-Cell AnalysisAnimalsGene Expression ProfilingMosquito-Borne DiseasesSingle-Cell Gene Expression AnalysisCell atlasHost–pathogen interactionsMosquitoMosquito-borne diseaseSingle-cell RNA sequencingVector control

Identifiers

PMID42827263
PMCPMC13632198

What Socratic holds

Textmetadata
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 Socratic graph.