The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A HaemAtlas: characterizing gene expression in differentiated human blood cells
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Anguita, E., Hughes, J., Heyworth, C., Blobel, G. A., Wood, W. G., & Higgs, D. R. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600274 · Cited by 207
Cited by
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 13,224
DNA methylation arrays as surrogate measures of cell mixture distribution
Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175
A draft network of ligand–receptor-mediated multicellular signalling in human
Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8866 · Cited by 887
A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
Nestorowa, S., Hamey, F. K., Pijuan Sala, B., Diamanti, E., Shepherd, M., Laurenti, E., Wilson, N. K., Kent, D. G., & Göttgens, B. (2016) · Blood · doi:10.1182/blood-2016-05-716480 · Cited by 768
Self-citationBeck, D., Thoms, J. A. I., Perera, D., Schütte, J., Unnikrishnan, A., Knezevic, K., Kinston, S. J., Wilson, N. K., O’Brien, T. A., Göttgens, B., et al. (2013) · Blood · doi:10.1182/blood-2013-03-490425 · Cited by 133
Metadata
- Authors
- Watkins, N. A., Gusnanto, A., de Bono, B., De, S., Miranda-Saavedra, D., Hardie, D. L., Angenent, W. G. J., Attwood, A. P., Ellis, P. D., Erber, W., Foad, N. S., Garner, S. F., Isacke, C. M., Jolley, J., Koch, K., Macaulay, I. C., Morley, S. L., Rendon, A., Rice, K. M., Taylor, N., Thijssen-Timmer, D. C., Tijssen, M. R., van der Schoot, C. E., Wernisch, L., Winzer, T., Dudbridge, F., Buckley, C. D., Langford, C. F., Teichmann, S., Göttgens, B., & Ouwehand, W. H.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2009-05-07
- Volume
- 113
- Issue
- 19
- Pages
- e1-e9
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2129271267
- Cited by
- 242
- References
- 1
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A HaemAtlas: characterizing gene expression in differentiated human blood cells. https://app.cochat.ai/papers/10.1182/blood-2008-06-162958
- The paper
- Watkins, N. A., Gusnanto, A., de Bono, B., De, S., Miranda-Saavedra, D., Hardie, D. L., Angenent, W. G. J., Attwood, A. P., Ellis, P. D., Erber, W., Foad, N. S., Garner, S. F., Isacke, C. M., Jolley, J., Koch, K., Macaulay, I. C., Morley, S. L., Rendon, A., Rice, K. M., . . . Ouwehand, W. H. (2009). A HaemAtlas: characterizing gene expression in differentiated human blood cells. Blood. https://doi.org/10.1182/blood-2008-06-162958
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.