ArticleBlood2009
A HaemAtlas: characterizing gene expression in differentiated human blood cells.
Article in Blood, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 3 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
153 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Pooled it
- A meta-analysis and genome-wide association study of platelet count and mean platelet volume in african americans.PLoS genetics · 2012Pooled it
- Pooled it
- Ischemic transient neurological events identified by immune response to cerebral ischemia.Stroke · 2012Trial
- Monocyte gene expression signature of patients with early onset coronary artery disease.PloS one · 2012Trial
- Intra-graft expression of genes involved in iron homeostasis predicts the development of operational tolerance in human liver transplantation.The Journal of clinical investigation · 2012Trial
- Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients.Annals of internal medicine · 2010 · on this mapTrial
- The functional landscape of alternative splicing in hematopoietic lineage commitment.Nature communications · 2026Article
- Early peripheral blood gene expression predicts 90-day outcomes following subarachnoid hemorrhage.Journal of neuroinflammation · 2025Article
- Interferon-epsilon, an estrogen-induced type I interferon, is uniquely exploited by Neisseria gonorrhoeae via effects on sialic acid metabolism.Cell host & microbe · 2025Article
- Novel set of plasma proteins classifies Alzheimer's dementia in African American individuals with high accuracy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Dysfunctional bronchoalveolar effector memory CD8iScience · 2024Article
- Ischemic Stroke with Comorbid Cancer Has Specific miRNA-mRNA Networks in Blood That Vary by Ischemic Stroke Mechanism.Annals of neurology · 2024Article
- The transcriptomic landscape of normal and ineffective erythropoiesis at single-cell resolution.Blood advances · 2023Article
- Article
- Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke.BMC medicine · 2023Article
- Neuroglia Cells Transcriptomic in Brain Development, Aging and Neurodegenerative Diseases.Aging and disease · 2023Review
- Early peripheral blood gene expression associated with good and poor 90-day ischemic stroke outcomes.Journal of neuroinflammation · 2023Article
- Quantifying the role of transcript levels in mediating DNA methylation effects on complex traits and diseases.Nature communications · 2022Article
- Gene expression changes implicate specific peripheral immune responses to Deep and Lobar Intracerebral Hemorrhages in humans.Brain hemorrhages · 2022Article
93 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
32 authors.
Funding
Abstract
Hematopoiesis is a carefully controlled process that is regulated by complex networks of transcription factors that are, in part, controlled by signals resulting from ligand binding to cell-surface receptors. To further understand hematopoiesis, we have compared gene expression profiles of human erythroblasts, megakaryocytes, B cells, cytotoxic and helper T cells, natural killer cells, granulocytes, and monocytes using whole genome microarrays. A bioinformatics analysis of these data was performed focusing on transcription factors, immunoglobulin superfamily members, and lineage-specific transcripts. We observed that the numbers of lineage-specific genes varies by 2 orders of magnitude, ranging from 5 for cytotoxic T cells to 878 for granulocytes. In addition, we have identified novel coexpression patterns for key transcription factors involved in hematopoiesis (eg, GATA3-GFI1 and GATA2-KLF1). This study represents the most comprehensive analysis of gene expression in hematopoietic cells to date and has identified genes that play key roles in lineage commitment and cell function. The data, which are freely accessible, will be invaluable for future studies on hematopoiesis and the role of specific genes and will also aid the understanding of the recent genome-wide association studies.
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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.