ArticlePLoS genetics2006
Evidence for diversity in transcriptional profiles of single hematopoietic stem cells.
Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 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.
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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
30 citing papers in PubMed.
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- A Diet Containing Rutin Ameliorates Brain Intracellular Redox Homeostasis in a Mouse Model of Alzheimer's Disease.International journal of molecular sciences · 2023Article
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- From Discrete to Continuous Modeling of Lymphocyte Development and Plasticity in Chronic Diseases.Frontiers in immunology · 2019Review
- Single cell analysis of normal and leukemic hematopoiesis.Molecular aspects of medicine · 2018Review
- A rare subset of skin-tropic regulatory T cells expressing Il10/Gzmb inhibits the cutaneous immune response.Scientific reports · 2016Article
- BTR: training asynchronous Boolean models using single-cell expression data.BMC bioinformatics · 2016Article
- Combined ultra-low input mRNA and whole-genome sequencing of human embryonic stem cells.BMC genomics · 2015Article
- Somatic stem cell heterogeneity: diversity in the blood, skin and intestinal stem cell compartments.Nature reviews. Molecular cell biology · 2015Review
- Single-cell technologies sharpen up mammalian stem cell research.Nature cell biology · 2014Review
- Tif1γ regulates the TGF-β1 receptor and promotes physiological aging of hematopoietic stem cells.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.BioEssays : news and reviews in molecular, cellular and developmental biology · 2014Article
- High-Throughput Single-Cell Analysis for Wound Healing Applications.Advances in wound care · 2013Review
- Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.Bioinformatics (Oxford, England) · 2013Article
- Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis.Nature cell biology · 2013Article
- Stochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cells.Nature protocols · 2013Article
- Transcriptome sequencing of single cells with Smart-Seq.Nature biotechnology · 2012Article
- Single-cell profiling of developing and mature retinal neurons.Journal of visualized experiments : JoVE · 2012Article
- Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
Hematopoietic stem cells replenish all the cells of the blood throughout the lifetime of an animal. Although thousands of stem cells reside in the bone marrow, only a few contribute to blood production at any given time. Nothing is known about the differences between individual stem cells that dictate their particular state of activation readiness. To examine such differences between individual stem cells, we determined the global gene expression profile of 12 single stem cells using microarrays. We showed that at least half of the genetic expression variability between 12 single cells profiled was due to biological variation in 44% of the genes analyzed. We also identified specific genes with high biological variance that are candidates for influencing the state of readiness of individual hematopoietic stem cells, and confirmed the variability of a subset of these genes using single-cell real-time PCR. Because apparent variation of some genes is likely due to technical factors, we estimated the degree of biological versus technical variation for each gene using identical RNA samples containing an RNA amount equivalent to that of single cells. This enabled us to identify a large cohort of genes with low technical variability whose expression can be reliably measured on the arrays at the single-cell level. These data have established that gene expression of individual stem cells varies widely, despite extremely high phenotypic homogeneity. Some of this variation is in key regulators of stem cell activity, which could account for the differential responses of particular stem cells to exogenous stimuli. The capacity to accurately interrogate individual cells for global gene expression will facilitate a systems approach to biological processes at a single-cell level.
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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.