The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Gene Expression Commons: An Open Platform for Absolute Gene Expression Profiling
Open accessAbstract
Gene expression profiling using microarrays has been limited to comparisons of gene expression between small numbers of samples within individual experiments. However, the unknown and variable sensitivities of each probeset have rendered the absolute expression of any given gene nearly impossible to estimate. We have overcome this limitation by using a very large number (>10,000) of varied microarray data as a common reference, so that statistical attributes of each probeset, such as the dynamic range and threshold between low and high expression, can be reliably discovered through meta-analysis. This strategy is implemented in a web-based platform named "Gene Expression Commons" (https://gexc.stanford.edu/) which contains data of 39 distinct highly purified mouse hematopoietic stem/progenitor/differentiated cell populations covering almost the entire hematopoietic system. Since the Gene Expression Commons is designed as an open platform, investigators can explore the expression level of any gene, search by expression patterns of interest, submit their own microarray data, and design their own working models representing biological relationship among samples.
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Cites
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,266
ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform
Rhodes, D. R., Yu, J., Shanker, K., Deshpande, N., Varambally, R., Ghosh, D., Barrette, T., Pander, A., & Chinnaiyan, A. M. (2004) · Neoplasia · doi:10.1016/s1476-5586(04)80047-2 · Cited by 3,612
The Immunological Genome Project: networks of gene expression in immune cells
The Immunological Genome Project Consortium, Heng, T. S. P., Painter, M. W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S. J., Koller, D., Kim, F. S., Wagers, A. J., et al. (2008) · Nature Immunology · doi:10.1038/ni1008-1091 · Cited by 1,864
A Stem Cell Molecular Signature
Ivanova, N. B., Dimos, J. T., Schaniel, C., Hackney, J. A., Moore, K. A., & Lemischka, I. R. (2002) · Science · doi:10.1126/science.1073823 · Cited by 1,542
Cell intrinsic alterations underlie hematopoietic stem cell aging
Rossi, D. J., Bryder, D., Zahn, J. M., Ahlenius, H., Sonu, R., Wagers, A. J., & Weissman, I. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503280102 · Cited by 1,152 · cited 1×
“0 CD342 Flk22 KLS (young) CD342 Flk22 KLS (old) 45000 34000 [26]”
Self-citationPronk, C. J. H., Rossi, D. J., Månsson, R., Attema, J. L., Norddahl, G. L., Chan, C. K. F., Sigvardsson, M., Weissman, I. L., & Bryder, D. (2007) · Cell Stem Cell · doi:10.1016/j.stem.2007.07.005 · Cited by 671
Self-citationComprehensive methylome map of lineage commitment from haematopoietic progenitors
Ji, H., Ehrlich, L. I. R., Seita, J., Murakami, P., Doi, A., Lindau, P., Lee, H., Aryee, M. J., Irizarry, R. A., Kim, K., et al. (2010) · Nature · doi:10.1038/nature09367 · Cited by 636
Self-citationFrozen robust multiarray analysis (fRMA)
McCall, M. N., Bolstad, B. M., & Irizarry, R. A. (2010) · Biostatistics · doi:10.1093/biostatistics/kxp059 · Cited by 590
Gentles, A. J. (2010) · JAMA · doi:10.1001/jama.2010.1862 · Cited by 395
Cited by
The bone marrow niche for haematopoietic stem cells
Morrison, S. J., & Scadden, D. T. (2014) · Nature · doi:10.1038/nature12984 · Cited by 2,451
Single-cell transcriptional diversity is a hallmark of developmental potential
Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571
RNA editing by ADAR1 prevents MDA5 sensing of endogenous dsRNA as nonself
Liddicoat, B. J., Piskol, R., Chalk, A. M., Ramaswami, G., Higuchi, M., Hartner, J. C., Li, J. B., Seeburg, P. H., & Walkley, C. R. (2015) · Science · doi:10.1126/science.aac7049 · Cited by 955
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
Ascorbate regulates haematopoietic stem cell function and leukaemogenesis
Agathocleous, M., Meacham, C. E., Burgess, R. J., Piskounova, E., Zhao, Z., Crane, G. M., Cowin, B. L., Bruner, E., Murphy, M. M., Chen, W., et al. (2017) · Nature · doi:10.1038/nature23876 · Cited by 545
“Slc23a1 and Gulo are not expressed by haematopoietic cells 13 .”
Metadata
- Authors
- Seita, J., Sahoo, D., Rossi, D. J., Bhattacharya, D., Serwold, T., Inlay, M. A., Ehrlich, L. I. R., Fathman, J. W., Dill, D. L., & Weissman, I. L.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-07-18
- Volume
- 7
- Issue
- 7
- Pages
- e40321
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2052670712
- Cited by
- 260
- References
- 27
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- gold
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- Seita, J., Sahoo, D., Rossi, D. J., Bhattacharya, D., Serwold, T., Inlay, M. A., Ehrlich, L. I. R., Fathman, J. W., Dill, D. L., & Weissman, I. L. (2012). Gene Expression Commons: An Open Platform for Absolute Gene Expression Profiling. PLoS ONE. https://doi.org/10.1371/journal.pone.0040321
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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.
