ReviewAnalytical chemistry2023
Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling.
Review in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled 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.
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
65 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Decoding Skeletal Biology Through Transcriptomics: Insights from Bulk, Single-Cell, Spatial, and Multi-Omics Approaches.International journal of molecular sciences · 2026Review
- Review
- Adaptive epithelial-mesenchymal bi-directional transition: A key invasive plasticity for tumor metastasis.iScience · 2026Review
- Spatial multi-omics unveils sphingolipid metabolic reprogramming within the retinal pathological niche.iMeta · 2026Article
- Tumor Plasticity and Microenvironmental Crosstalk as Drivers of Metastasis and Therapy Resistance.MedComm · 2026Review
- Spatial transcriptomics in ovarian biology technologies: computational challenges, and biological insights.Reproduction (Cambridge, England) · 2026Review
- Review
- The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.Neuroscience and biobehavioral reviews · 2026Review
- Benchmarking DNA barcode decoding strategies under high error rates.BMC bioinformatics · 2026Article
- Transcriptional Bursting in Pluripotent Stem Cells.Biology · 2026Review
- Spatial and single-cell transcriptomic profiling reveals interplay between SRGN-associated epithelial programs and C1QC+ macrophages in early LUAD progression.Journal of translational medicine · 2026Article
- Optimized nuclei isolation and snRNA-seq reveal oligodendrocyte pathway dysregulation in MOGHE brain tissue from pediatric patients.Scientific reports · 2026Article
- Multiomics Reveals IL-17 Drives Epithelial Keratinization and Proliferation via EHF in Odontogenic Keratocysts.International journal of molecular sciences · 2026Article
- Transcriptomic and Neuroimaging Decoding of Brain-Immune Crosstalk in Thyroid Eye Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Epigenetic and Transcriptomic Pathways Underlying Animal Models of Cognitive and Psychiatric Disorders: A Scoping Review.Current issues in molecular biology · 2026Review
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- Spatial omics study reveals molecular-cellular dynamics of tumor ecosystem in esophageal squamous-cell carcinoma initiation and progression.Cell reports. Medicine · 2026Article
- Dissecting the immunosuppressive microenvironment of LAMA3 + malignant cells and SPP1 + macrophages in esophageal squamous cell carcinoma using single-cell and spatial transcriptomics.Journal of translational medicine · 2026Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this Perspective, we discuss the current status and advances in spatial transcriptomics technologies, which allow high-resolution mapping of gene expression in intact cell and tissue samples. Spatial transcriptomics enables the creation of high-resolution maps of gene expression patterns within their native spatial context, adding an extra layer of information to the bulk sequencing data. Spatial transcriptomics has expanded significantly in recent years and is making a notable impact on a range of fields, including tissue architecture, developmental biology, cancer, and neurodegenerative and infectious diseases. The latest advancements in spatial transcriptomics have resulted in the development of highly multiplexed methods, transcriptomic-wide analysis, and single-cell resolution utilizing diverse technological approaches. In this Perspective, we provide a detailed analysis of the molecular foundations behind the main spatial transcriptomics technologies, including methods based on microdissection,
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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.