ReviewNature cell biology2014
Single-cell technologies sharpen up mammalian stem cell research.
Review in Nature cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed.
- Deciphering normal and cancer stem cell niches by spatial transcriptomics: opportunities and challenges.Genes & development · 2025Review
- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Embryonic stem cell ERK, AKT, plus STAT3 response dynamics combinatorics are heterogeneous but NANOG state independent.Stem cell reports · 2023Article
- Article
- Blood stem cell PU.1 upregulation is a consequence of differentiation without fast autoregulation.The Journal of experimental medicine · 2022Article
- OMICS Applications for Medicinal Plants in Gastrointestinal Cancers: Current Advancements and Future Perspectives.Frontiers in pharmacology · 2022Review
- Analyzing signaling activity and function in hematopoietic cells.The Journal of experimental medicine · 2021Review
- A Novel GATA2 Protein Reporter Mouse Reveals Hematopoietic Progenitor Cell Types.Stem cell reports · 2020Article
- Article
- Comments on 'Molecular architecture of lineage allocation and tissue organization in early mouse embryo'.Journal of molecular cell biology · 2019Article
- High-throughput label-free molecular fingerprinting flow cytometry.Science advances · 2019Article
- What Makes a pDC: Recent Advances in Understanding Plasmacytoid DC Development and Heterogeneity.Frontiers in immunology · 2019Review
- Illumination of neural development byCell regeneration (London, England) · 2018Review
- A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations.Journal of visualized experiments : JoVE · 2018Article
- Synthetic control systems for high performance gene expression in mammalian cells.Nucleic acids research · 2018Article
- A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo.The Journal of cell biology · 2018Article
- Deconstructing and reconstructing the mouse and human early embryo.Nature cell biology · 2018Review
- The impact of single-cell RNA sequencing on understanding the functional organization of the immune system.Briefings in functional genomics · 2018Review
- Transposon-modified antigen-specific T lymphocytes for sustained therapeutic protein delivery in vivo.Nature communications · 2018Article
- Investigation of Optimized Treatment Conditions for Acoustic-Transfection Technique for Intracellular Delivery of Macromolecules.Ultrasound in medicine & biology · 2018Article
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
Analysis of the mechanisms underlying cell fates requires the molecular quantification of cellular features. Classical techniques use population average readouts at single time points. However, these approaches mask cellular heterogeneity and dynamics and are limited for studying rare and heterogeneous cell populations like stem cells. Techniques for single-cell analyses, ideally allowing non-invasive quantification of molecular dynamics and cellular behaviour over time, are required for studying stem cells. Here, we review the development and application of these techniques to stem cell research.
Indexed as
Identifiers
25271480What 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.