ReviewGenome biology2016
Single-cell sequencing in stem cell biology.
Review in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 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
100 citing papers in PubMed.
- Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.Stem cell reviews and reports · 2026Review
- AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.Bioinformatics (Oxford, England) · 2026Article
- Research progress in heterogeneity of dental mesenchymal stem cells.International journal of oral science · 2026Review
- The PVAT-MAMs Axis in Atherosclerosis: A Hypothesis-Driven Cross-Scale Conceptual Framework.International journal of molecular sciences · 2026Review
- A guide to transcriptomic deconvolution in cancer.Nature reviews. Cancer · 2026Review
- Single-cell transcriptomics reveals notch regulation in quiescent LEPR⁺ endometrial mesenchymal stem cells.Stem cell research & therapy · 2025Article
- Cell biomechanics on muscle atrophy: from intricate mechanisms to therapeutic frontiers.Annals of medicine · 2025Review
- Single-cell analysis of heterogeneity and molecular changes in cultured corneal epithelial stem cells during serial passage.Stem cells (Dayton, Ohio) · 2025Article
- Multi-omics: a bridge connecting genotype and phenotype for epilepsy?Biomarker research · 2025Review
- NS3 of hepatitis C virus drives hepatocellular carcinoma progression through a novel RNA-interference pathway.Journal of cell communication and signaling · 2025Article
- Targeting Triple-Negative Breast Cancer: Resistance Mechanisms and Therapeutic Advancements.Cancer medicine · 2025Review
- Single-Cell RNA Sequencing Outperforms Single-Nucleus RNA Sequencing in Analyzing Pancreatic Cell Diversity and Gene Expression in Goats.International journal of molecular sciences · 2025Article
- Review
- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics.Nature reviews. Molecular cell biology · 2025Review
- Unveiling gene regulatory networks during cellular state transitions without linkage across time points.Scientific reports · 2024Article
- Unveiling the functional heterogeneity of cytokine-primed human umbilical cord mesenchymal stem cells through single-cell RNA sequencing.Cell & bioscience · 2024Article
- Metabolic regulation of the hallmarks of stem cell biology.Cell stem cell · 2024Review
- Quantitative association between gene expression and blood cell production of individual hematopoietic stem cells in mice.Science advances · 2024Article
- Current Status of Next-Generation Sequencing in Bone Genetic Diseases.International journal of molecular sciences · 2023Review
40 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequencing technologies serve as powerful tools to dissect cellular heterogeneity comprehensively and to identify distinct phenotypic cell types, even within a 'homogeneous' stem cell population. These technologies, including single-cell genome, epigenome, and transcriptome sequencing technologies, have been developing rapidly in recent years. The application of these methods to different types of stem cells, including pluripotent stem cells and tissue-specific stem cells, has led to exciting new findings in the stem cell field. In this review, we discuss the recent progress as well as future perspectives in the methodologies and applications of single-cell omic sequencing technologies.
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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.