Evidence map›Paper›PMID 42904236›Full record

ReviewFrontiers in microbiology2026

Applications of single-cell RNA sequencing in fungal infections.

Xi Shen, Guanzhi Chen, Lingyue Sun

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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

3 authors.

Xi ShenDepartment of Dermatology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Guanzhi ChenDepartment of Dermatology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Lingyue SunDepartment of Dermatology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infection elicits markedly different cellular responses depending on the pathogen, tissue involved, host immune status, and stage of disease. Bulk measurements capture broad changes but can obscure the cell populations associated with fungal control, persistence, or tissue injury. Single-cell RNA sequencing (scRNA-seq) offers a way to resolve this heterogeneity, although fungal infection studies remain uneven in both technical feasibility and disease coverage. We review evidence from cutaneous, mucosal, pulmonary, central nervous system, and systemic infections, with attention to tissue context, experimental design, and the strength of supporting validation. Across these studies, myeloid, lymphoid, epithelial, and stromal compartments show substantial remodeling, yet similarly named cell states do not necessarily have equivalent functions in different tissues or infections. Direct fungal single-cell studies are fewer, but they reveal variation in developmental stage, morphogenesis, stress responses, and responses to antifungal exposure. Most evidence still centers on

Indexed as

antifungal tolerancecutaneous mycosesfungal infectionshost-pathogen interactionsimmune heterogeneitysingle-cell RNA sequencingspatial transcriptomics

Identifiers

PMID42904236
PMCPMC13682577

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.