ReviewExperimental & molecular medicine2020
An era of single-cell genomics consortia.
Review in Experimental & molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Cell-type deconvolution methods for spatial transcriptomics.Nature reviews. Genetics · 2025Review
- MatriCom, a single-cell RNA-sequencing data mining tool to infer cell-extracellular matrix interactions.Journal of cell science · 2025Article
- Article
- Single-Cell Sequencing: Current Applications in Precision Onco-Genomics and Cancer Therapeutics.Cancers · 2022Review
- An Overview on Single-Cell Technology for Hepatocellular Carcinoma Diagnosis.International journal of molecular sciences · 2022Review
- How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.Biochemical Society transactions · 2021Review
- Single-cell analysis of salt-induced hypertensive mouse aortae reveals cellular heterogeneity and state changes.Experimental & molecular medicine · 2021Article
- Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes.Pathogens (Basel, Switzerland) · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human body consists of 37 trillion single cells represented by over 50 organs that are stitched together to make us who we are, yet we still have very little understanding about the basic units of our body: what cell types and states make up our organs both compositionally and spatially. Previous efforts to profile a wide range of human cell types have been attempted by the FANTOM and GTEx consortia. Now, with the advancement in genomic technologies, profiling the human body at single-cell resolution is possible and will generate an unprecedented wealth of data that will accelerate basic and clinical research with tangible applications to future medicine. To date, several major organs have been profiled, but the challenges lie in ways to integrate single-cell genomics data in a meaningful way. In recent years, several consortia have begun to introduce harmonization and equity in data collection and analysis. Herein, we introduce existing and nascent single-cell genomics consortia, and present benefits to necessitate single-cell genomic consortia in a regional environment to achieve the universal human cell reference dataset.
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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.