Evidence map›Paper›PMID 41956093›Full record

ArticleCell reports methods2026

Spatial mapping of microbial communities by an integrated automation platform of sequential FISH.

Zhaohui Cao, Wenlong Zuo, Lanxiang Wang, Lei Dai

Abstract read
In one paragraph

Article in Cell reports methods, 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

4 authors.

Zhaohui CaoState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Wenlong ZuoState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Lanxiang WangState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Lei DaiState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: lei.dai@siat.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial mapping of microbial communities at single-cell resolution is opening up dimensions to understand microbiome organization and function. However, current fluorescence in situ hybridization (FISH) methods for microbiomes are limited by multiplexity and scalability. Here, we present the sequential error-robust FISH spatial mapping platform (SEER-Map) for fully automated imaging of complex microbial communities. We show that an integrated platform of fluidics control and fluorescence microscopy can perform 40 rounds of sequential FISH. We apply SEER-Map to profile complex microbial communities colonized on plant roots and identify distinct spatial patterns and species co-occurrence at the micron-scale. Our work establishes SEER-Map as a high-throughput and scalable platform for high-resolution spatial profiling of microbiomes.

Indexed as

Host Microbial InteractionsIn Situ Hybridization, FluorescenceMicrobiotaMicroscopy, FluorescencePlant RootsSingle-Cell AnalysisSpatial Analysisautomation platformbiogeographyCP: imagingCP: microbiologyhigh-multiplexitymicrobial communitiesmicrobiomeSEER-Mapsequential FISHsingle-cell resolutionspatial mapping

Identifiers

PMID41956093
PMCPMC13198088

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.