Title |
Haemopedia: An Expression Atlas of Murine Hematopoietic Cells
|
---|---|
Published in |
Stem Cell Reports, August 2016
|
DOI | 10.1016/j.stemcr.2016.07.007 |
Pubmed ID | |
Authors |
Carolyn A. de Graaf, Jarny Choi, Tracey M. Baldwin, Jessica E. Bolden, Kirsten A. Fairfax, Aaron J. Robinson, Christine Biben, Clare Morgan, Kerry Ramsay, Ashley P. Ng, Maria Kauppi, Elizabeth A. Kruse, Tobias J. Sargeant, Nick Seidenman, Angela D'Amico, Marthe C. D'Ombrain, Erin C. Lucas, Sandra Koernig, Adriana Baz Morelli, Michael J. Wilson, Steven K. Dower, Brenda Williams, Shen Y. Heazlewood, Yifang Hu, Susan K. Nilsson, Li Wu, Gordon K. Smyth, Warren S. Alexander, Douglas J. Hilton |
Abstract |
Hematopoiesis is a multistage process involving the differentiation of stem and progenitor cells into distinct mature cell lineages. Here we present Haemopedia, an atlas of murine gene-expression data containing 54 hematopoietic cell types, covering all the mature lineages in hematopoiesis. We include rare cell populations such as eosinophils, mast cells, basophils, and megakaryocytes, and a broad collection of progenitor and stem cells. We show that lineage branching and maturation during hematopoiesis can be reconstructed using the expression patterns of small sets of genes. We also have identified genes with enriched expression in each of the mature blood cell lineages, many of which show conserved lineage-enriched expression in human hematopoiesis. We have created an online web portal called Haemosphere to make analyses of Haemopedia and other blood cell transcriptional datasets easier. This resource provides simple tools to interrogate gene-expression-based relationships between hematopoietic cell types and genes of interest. |
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Geographical breakdown
Country | Count | As % |
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United States | 3 | 27% |
Australia | 2 | 18% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 45% |
Scientists | 5 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Sweden | 1 | <1% |
Austria | 1 | <1% |
Unknown | 170 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 45 | 26% |
Researcher | 42 | 24% |
Student > Master | 14 | 8% |
Student > Bachelor | 12 | 7% |
Student > Postgraduate | 7 | 4% |
Other | 24 | 14% |
Unknown | 29 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 56 | 32% |
Agricultural and Biological Sciences | 48 | 28% |
Medicine and Dentistry | 15 | 9% |
Immunology and Microbiology | 9 | 5% |
Engineering | 3 | 2% |
Other | 10 | 6% |
Unknown | 32 | 18% |