ReviewNature reviews. Genetics2023
Transitioning single-cell genomics into the clinic.
Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 64 citations in OpenAlex.
- CDState Resolves Malignant Cell Heterogeneity from Bulk Tumor RNA Sequencing Data.Cancer research · 2026Article
- Reframing cancer therapy through tumor plasticity.Nature cancer · 2026Review
- Review
- Review
- Single-cell and spatial profiling in cancer biology and clinical oncology.Nature cancer · 2026Review
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- Integrated single-cell and spatial transcriptomics uncover SPP1⁺ and HLA-DRB5⁺ macrophages as key modulators of the immune microenvironment in colorectal cancer liver metastasis.Journal of translational medicine · 2026Article
- Spatial architecture of development and disease.Nature reviews. Genetics · 2026Review
- Immune monitoring, immune phenotyping, and precision intervention in severe pneumonia: current evidence and translational challenges.Frontiers in immunology · 2026Review
- FX-Cell: a method for single-cell RNA sequencing on difficult-to-digest and cryopreserved plant samples.Nature methods · 2025Article
- Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.Molecular cancer · 2025Review
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Sketching T cell atlases in the single-cell era: challenges and recommendations.Immunology and cell biology · 2025Review
- Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data.Briefings in bioinformatics · 2025Article
- UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing.Nature methods · 2025Article
- Delineation of Subcellular Molecular Heterogeneity in Single Cells via Ultralow-Flow-Rate Desorption Electrospray Ionization Mass Spectrometry Imaging.Analytical chemistry · 2025Article
- Advances and applications in single-cell and spatial genomics.Science China. Life sciences · 2025Review
- Targeted Therapies for Slow-Flow Vascular Malformations.The Australasian journal of dermatology · 2025Review
- Investigative needle core biopsies support multimodal deep-data generation in glioblastoma.Nature communications · 2025Article
- New horizons at the interface of artificial intelligence and translational cancer research.Cancer cell · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of genomics is firmly established in clinical practice, resulting in innovations across a wide range of disciplines such as genetic screening, rare disease diagnosis and molecularly guided therapy choice. This new field of genomic medicine has led to improvements in patient outcomes. However, most clinical applications of genomics rely on information generated from bulk approaches, which do not directly capture the genomic variation that underlies cellular heterogeneity. With the advent of single-cell technologies, research is rapidly uncovering how genomic data at cellular resolution can be used to understand disease pathology and mechanisms. Both DNA-based and RNA-based single-cell technologies have the potential to improve existing clinical applications and open new application spaces for genomics in clinical practice, with oncology, immunology and haematology poised for initial adoption. However, challenges in translating cellular genomics from research to a clinical setting must first be overcome.
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.