ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026
Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.
Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Spatial transcriptomics (ST) integrates spatial information with gene expression data to quantify mRNA levels across diverse genes within the structural context of tissues and cells. This field enables simultaneous capture of cellular gene expression at the transcriptomic level while preserving spatial localization information. This approach enhances our understanding of cellular interactions and their immediate microenvironments. Utilizing this technique, researchers can gain deep insights into biological development and disease mechanisms across different tissue regions. Recently, ST has witnessed substantial advancements; however, it faces challenges such as reliance on specific sample types, the resolution of visualized genes, commercial feasibility, and the capability to collect comprehensive single-cell data. This article summarizes four primary ST techniques, comparing and analyzing diverse research methodologies to improve experimental design and analytical evaluation. It highlights the essential role of ST in integrated multi-omics analyses and the development of disease models while contemplating its future advancements.
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What OpenQuestion holds
Registered trials
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.