ReviewGenomics, proteomics & bioinformatics2023
Integration of Computational Analysis and Spatial Transcriptomics in Single-cell Studies.
Review in Genomics, proteomics & bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed.
- Constructing the spatiotemporal atlas of single-cell lineage trajectories in stereotypic biological structures.iScience · 2026Article
- Unravelling the progression of the zebrafish primary body axis with reconstructed spatiotemporal transcriptomics.Genome biology · 2026Article
- Computational Analyses and Challenges of Single-cell ATAC-seq.Genomics, proteomics & bioinformatics · 2025Review
- Cell2Spatial is a computational framework that maps single cells to spatial transcriptomic spots to reconstruct tissue architecture.PLoS biology · 2025Article
- Mapping molecular landscapes in triple-negative breast cancer: insights from spatial transcriptomics.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Sketching T cell atlases in the single-cell era: challenges and recommendations.Immunology and cell biology · 2025Review
- Multi-omics approaches: transforming the landscape of natural product isolation.Functional & integrative genomics · 2025Review
- Advancements in proteogenomics for preclinical targeted cancer therapy research.Biophysics reports · 2025Article
- Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024Review
- Review
- Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024Review
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024.Nucleic acids research · 2024Article
- Uncover spatially informed variations for single-cell spatial transcriptomics with STew.Bioinformatics advances · 2024Article
- Time space and single-cell resolved tissue lineage trajectories and laterality of body plan at gastrulation.Nature communications · 2023Article
- Single-cell and spatial transcriptomics: Advances in heart development and disease applications.Computational and structural biotechnology journal · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances of single-cell transcriptomics technologies and allied computational methodologies have revolutionized molecular cell biology. Meanwhile, pioneering explorations in spatial transcriptomics have opened up avenues to address fundamental biological questions in health and diseases. Here, we review the technical attributes of single-cell RNA sequencing and spatial transcriptomics, and the core concepts of computational data analysis. We further highlight the challenges in the application of data integration methodologies and the interpretation of the biological context of the findings.
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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.