ReviewNature reviews. Genetics2022
Single-cell atlases: shared and tissue-specific cell types across human organs.
Review in Nature reviews. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 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
103 citing papers in PubMed, 177 citations in OpenAlex.
- Single-nucleus transcriptomic analysis reveals subfield-specific cell-to-cell synaptic reorganisation of the mouse hippocampus in focal temporal lobe epilepsy.Journal of translational medicine · 2026Article
- Development of a universal imaging "phenome" using shape, appearance and motion (SAM) features and the SAM Phenotype Observation Tool (SPOT).Nature communications · 2026Article
- scDAU: a disentangled representation learning method for cross-modal translation in single-cell multi-omics data.Bioinformatics (Oxford, England) · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Article
- Single-nucleus chromatin accessibility and gene expression co-profiling by ISSAAC-seq.Nature protocols · 2026Review
- IntegrateRigor: annotation-free integration optimization for cell identity recovery reveals cancer-immune interface niches.bioRxiv : the preprint server for biology · 2026Article
- Atlas of human gut-associated lymphoid tissue reveals immunomodulatory interactions of B cells.Science immunology · 2026Article
- RECOMBINE identifies recurrent composite markers of cell types and states.Genome research · 2026Article
- Fibroblasts as regulators of lung immunity, repair and fibrosis.Nature reviews. Immunology · 2026Review
- Article
- Spatial transcriptomics implicates the thalamus and cortex in autism and schizophrenia.bioRxiv : the preprint server for biology · 2026Article
- Functional targeting of PTTG1 in pericytes restores vascular integrity in diabetic retina.Science advances · 2026Article
- Spatially resolved in situ profiling of mRNA life cycle at transcriptome scale in intact cells and tissues using STARmap PLUS, RIBOmap and TEMPOmap.Nature protocols · 2026Review
- Review
- Top-Down Proteomics of Skinned Human Muscle Fibers Reveals Proteoform-Resolved Fiber-to-Fiber Variability.Journal of mass spectrometry : JMS · 2026Article
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry.Nature methods · 2026Article
- Spatial architecture of development and disease.Nature reviews. Genetics · 2026Review
- Article
- Single-cell atlas of photoaged skin reveals JAK-STAT blockade as a strategy to reverse dermal remodeling.Frontiers in immunology · 2026Article
43 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
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of single-cell and spatial transcriptomics methods was instrumental in the conception of the Human Cell Atlas initiative, which aims to generate an integrated map of all cells across the human body. These technology advances are bringing increasing depth and resolution to maps of human organs and tissues, as well as our understanding of individual human cell types. Commonalities as well as tissue-specific features of primary and supportive cell types across human organs are beginning to emerge from these human tissue maps. In this Review, we highlight key biological insights obtained from cross-tissue studies into epithelial, fibroblast, vascular and immune cells based on single-cell gene expression data in humans and contrast it with mechanisms reported in mice.
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.