Evidence map›Paper›PMID 41849011›Full record

ReviewClinical reviews in allergy & immunology2026

The Application of Single-cell RNA Sequencing Technology in the Research of Sino-Nasal Diseases.

Mingrui Pan, Zhuoran Jia, Min Zhou, Junhai Chen, Huijun Qiu, Xin Luo, Yana Zhang, Zhaohui Shi, Shuo Wu, Deyun Wang and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 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

11 authors.

Mingrui Pan *Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Zhuoran Jia *Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Min ZhouDepartment of Allergy, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Junhai ChenDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Huijun QiuDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Xin LuoDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Yana ZhangDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Zhaohui ShiDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Shuo WuDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China.
Deyun WangDepartment of Otolaryngology and the Infectious Diseases Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. entwdy@nus.edu.sg.
Qintai YangDepartment of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tian He Road, Guangzhou, China. yangqint@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has revolutionized rhinology by enabling the high-resolution dissection of nasal pathophysiology at the genetic level. This article provides a comprehensive overview of scRNA-seq technology and discusses the progressive developments in its application for diagnosing diseases in rhinology, chiefly infective nasal diseases and chronic inflammatory states. It has been instrumental in identifying infection-related genes, linking cellular dynamics to clinical variables such as age and smoking, and deconvoluting complex diseases like chronic rhinosinusitis (CRS) and allergic rhinitis(AR) by defining key pathogenic cells (e.g., ALOX15+ macrophages) and novel pathways like glycolysis. The integration of scRNA-seq with spatial transcriptomics and multi-omics approaches is also discussed in this article, promising deeper insights into nasal biology and future therapeutic strategies, while current technological limitations are acknowledged.

Indexed as

Nose DiseasesRhinitis, AllergicRhinosinusitisSequence Analysis, RNASingle-Cell AnalysisAnimalsHumansMultiomicsSingle-Cell Gene Expression AnalysisTranscriptomeAllergic rhinitisChronic rhinosinusitisNasal diseasesSARS-CoV-2Single-cell RNA sequencing

Identifiers

PMID41849011

What OpenQuestion holds

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Registered trials

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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.