ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2014
Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.
Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Identification and validation of extracellular vesicle reference genes for the normalization of RT-qPCR data.Journal of extracellular vesicles · 2024Article
- Identification of Biomarkers Controlling Cell Fate In Blood Cell Development.Frontiers in bioinformatics · 2021Article
- Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells.Computational and structural biotechnology journal · 2021Article
- Reconstructing blood stem cell regulatory network models from single-cell molecular profiles.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Transcriptional Regulation of the First Cell Fate Decision.Journal of developmental biology & regenerative medicine · 2017Article
- Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016Review
- SCOUP: a probabilistic model based on the Ornstein-Uhlenbeck process to analyze single-cell expression data during differentiation.BMC bioinformatics · 2016Article
- Processing, visualising and reconstructing network models from single-cell data.Immunology and cell biology · 2016Review
- Systems biology surveillance decrypts pathological transcriptome remodeling.BMC systems biology · 2015Article
- Cell dynamics and gene expression control in tissue homeostasis and development.Molecular systems biology · 2015Review
- A differential network analysis approach for lineage specifier prediction in stem cell subpopulations.NPJ systems biology and applications · 2015Article
- Transcriptional network control of normal and leukaemic haematopoiesis.Experimental cell research · 2014Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Transcriptional networks regulate cell fate decisions, which occur at the level of individual cells. However, much of what we know about their structure and function comes from studies averaging measurements over large populations of cells, many of which are functionally heterogeneous. Such studies conceal the variability between cells and so prevent us from determining the nature of heterogeneity at the molecular level. In recent years, many protocols and platforms have been developed that allow the high throughput analysis of gene expression in single cells, opening the door to a new era of biology. Here, we discuss the need for single cell gene expression analysis to gain deeper insights into the transcriptional control of cell fate decisions, and consider the insights it has provided so far into transcriptional regulatory networks in development.
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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.