ReviewDevelopment (Cambridge, England)2017
Understanding development and stem cells using single cell-based analyses of gene expression.
Review in Development (Cambridge, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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.
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Who cites it
54 citing papers in PubMed.
- Single-cell multi-omic profiling of heterogeneous PROCRiScience · 2026Article
- Signaling and transcriptional networks governing late synovial joint development.Developmental biology · 2026Article
- Article
- Directing stem cell differentiation by chromatin state approximation.Nucleic acids research · 2026Article
- A single-cell atlas of the miracidium larva ofeLife · 2024Article
- GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks.Nature communications · 2024Article
- Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations.Briefings in bioinformatics · 2023Article
- Integration of a multi-omics stem cell differentiation dataset using a dynamical model.PLoS genetics · 2023Article
- Gene Editing in Hematopoietic Stem Cells.Advances in experimental medicine and biology · 2023Review
- Cellular and molecular profiles of larval and adult Xenopus corneal epithelia resolved at the single-cell level.Developmental biology · 2022Article
- Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation.Stem cell reports · 2022Article
- Single-cell analysis reveals the Comma-1D cell line as a unique model for mammary gland development and breast cancer.Journal of cell science · 2022Article
- Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity.Stem cell research & therapy · 2022Review
- Inferring temporal dynamics from cross-sectional data using Langevin dynamics.Royal Society open science · 2021Article
- Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data.Genome research · 2021Article
- Systematic Analysis of Functionally Related Gene Clusters in the Opportunistic Pathogen,Microorganisms · 2021Article
- Single-Cell Trajectory Inference Guided Enhancement of Thyroid MaturationFrontiers in endocrinology · 2021Article
- Neural crest multipotency and specification: power and limits of single cell transcriptomic approaches.Faculty reviews · 2021Review
- Between Fate Choice and Self-Renewal-Heterogeneity of Adult Neural Crest-Derived Stem Cells.Frontiers in cell and developmental biology · 2021Review
- Dissecting the heterogeneity and tumorigenesis of BRCA1 deficient mammary tumors via single cell RNA sequencing.Theranostics · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In recent years, genome-wide profiling approaches have begun to uncover the molecular programs that drive developmental processes. In particular, technical advances that enable genome-wide profiling of thousands of individual cells have provided the tantalizing prospect of cataloging cell type diversity and developmental dynamics in a quantitative and comprehensive manner. Here, we review how single-cell RNA sequencing has provided key insights into mammalian developmental and stem cell biology, emphasizing the analytical approaches that are specific to studying gene expression in single cells.
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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 Socratic graph.