ReviewGenomics2023
Spatial transcriptomics: Technologies, applications and experimental considerations.
Review in Genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.
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
128 citing papers in PubMed, 161 citations in OpenAlex.
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Single-cell and spatial RNA sequencing in prostate cancer.Nature reviews. Urology · 2026Review
- 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
- Deep Learning-Assisted Prioritization of Candidate Drug Targets in Tumors Using Spatial Multi-Omics.Biology · 2026Review
- bMINTY: enabling reproducible management of high-throughput sequencing analysis results and their metadata.NAR genomics and bioinformatics · 2026Article
- Advances in single-cell and spatial multi-omics for plant development and stress responses.Plant diversity · 2026Review
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- Single-cell and spatial transcriptomics identify CAPG as a key driver of cisplatin resistance in bladder cancer.Functional & integrative genomics · 2026Article
- Mitigating Fixation Artifacts in Spatial Transcriptomics: Methodological Insights from Human Brain Tissue.Molecular neurobiology · 2026Article
- D3aist: data-driven detection of atypical interactions in spatial transcriptomics.BMC genomics · 2026Article
- Insights into programmed cell death from multiple imaging modalities.Journal of translational medicine · 2026Review
- Spatial transcriptomics in ovarian biology technologies: computational challenges, and biological insights.Reproduction (Cambridge, England) · 2026Review
- CPS: mapping physical coordinates to high-fidelity spatial transcriptomics via privileged multi-scale context distillation.Bioinformatics (Oxford, England) · 2026Article
- Optimal gene panel selection for targeted spatial transcriptomics experiments.Nucleic acids research · 2026Article
- Review
- Application of next-generation sequencing in the treatment of myelodysplastic syndrome: from mechanisms to clinical practice.Blood science (Baltimore, Md.) · 2026Review
- GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics.NPJ systems biology and applications · 2026Article
- Interpretable decoding of cell fate from a snapshot of combinatorial signaling.bioRxiv : the preprint server for biology · 2026Article
- Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects.Briefings in bioinformatics · 2026Review
- ModelistsGCN: a multimodal graph convolutional network framework for single-cell spatial transcriptomic cell typing.Briefings in bioinformatics · 2026Article
68 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
9 authors at 5 institutions in 3 countries.
Funding
Abstract
The diverse cell types of an organ have a highly structured organization to enable their efficient and correct function. To fully appreciate gene functions in a given cell type, one needs to understand how much, when and where the gene is expressed. Classic bulk RNA sequencing and popular single cell sequencing destroy cell structural organization and fail to provide spatial information. However, the spatial location of gene expression or of the cell in a complex tissue provides key clues to comprehend how the neighboring genes or cells cross talk, transduce signals and work together as a team to complete the job. The functional requirement for the spatial content has been a driving force for rapid development of the spatial transcriptomics technologies in the past few years. Here, we present an overview of current spatial technologies with a special focus on the commercially available or currently being commercialized technologies, highlight their applications by category and discuss experimental considerations for a first spatial experiment.
Indexed as
Identifiers
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.