ReviewScience China. Life sciences2025
Advances and applications in single-cell and spatial genomics.
Review in Science China. Life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses 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
48 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.GigaScience · 2025Pooled it
- Spatial transcriptomics reveal developmental dynamics of the human cerebral cortex and striatum.Science China. Life sciences · 2026Article
- Multi-omics-driven precision medicine.iMeta · 2026Review
- A Comprehensive Comparative Analysis of Sequence-Based Deep Learning Models for Single-Cell Genomics.Cell proliferation · 2026Article
- Uncovering ectopic GC-like niches for tumor reactive lymphocyte priming in lung adenocarcinoma using Stereo-XCR-seq.Nature communications · 2026Article
- MECP2Science China. Life sciences · 2026Article
- Applications of omics-based phenotyping technologies in animal genetic breeding.Science China. Life sciences · 2026Review
- Deciphering lung cancer at high resolution: a narrative review of applications of single-cell and spatial transcriptomics sequencing.Translational lung cancer research · 2026Review
- AGCLD: an adaptive graph contrastive learning method with denoising for spatial domain identification.Briefings in bioinformatics · 2026Article
- DISCERN: inferring drug sensitivity from single-cell transcriptomes using cell-type-specific genetic interaction networks.Genome medicine · 2026Article
- Multiplexed Transcriptomics for Screening Drug Combinations and Defining the Mechanism of Action of HCC Therapeutics at Single-Cell Resolution.Cell proliferation · 2026Article
- Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti-Tumor Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- An integrated peripheral immune circuit of inflammation and dysfunction underlies drug resistance in pediatric drug-resistant epilepsy.Journal of translational medicine · 2026Article
- Active cytomegalovirus infection in acute respiratory distress syndrome patients: key points requiring attention.Critical care (London, England) · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- Review
- Reshaping the colorectal cancer immune microenvironment: insights from single-cell and spatial omics.Cancer cell international · 2026Review
- stGrads: decoding spatial gene expression gradients through proximity-driven analysis in complex tissues.Briefings in bioinformatics · 2026Article
- TEDD 2.0: an advanced temporal gene expression database enabled by in-silico functional analyses for developmental mechanism investigation.Science China. Life sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The applications of single-cell and spatial technologies in recent times have revolutionized the present understanding of cellular states and the cellular heterogeneity inherent in complex biological systems. These advancements offer unprecedented resolution in the examination of the functional genomics of individual cells and their spatial context within tissues. In this review, we have comprehensively discussed the historical development and recent progress in the field of single-cell and spatial genomics. We have reviewed the breakthroughs in single-cell multi-omics technologies, spatial genomics methods, and the computational strategies employed toward the analyses of single-cell atlas data. Furthermore, we have highlighted the advances made in constructing cellular atlases and their clinical applications, particularly in the context of disease. Finally, we have discussed the emerging trends, challenges, and opportunities in this rapidly evolving field.
Indexed as
Identifiers
39792333What Socratic 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 Socratic graph.