The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Transcription factor profiling in individual hematopoietic progenitors by digital RT-PCR
Open accessAbstract
We report here a systematic, quantitative population analysis of transcription factor expression within developmental progenitors, made possible by a microfluidic chip-based “digital RT-PCR” assay that can count template molecules in cDNA samples prepared from single cells. In a survey encompassing five classes of early hematopoietic precursor, we found markedly heterogeneous expression of the transcription factor PU.1 in hematopoietic stem cells and divergent patterns of PU.1 expression within flk2 − and flk2 + common myeloid progenitors. The survey also revealed significant differences in the level of the housekeeping transcript GAPDH across the surveyed populations, which demonstrates caveats of normalizing expression data to endogenous controls and underscores the need to put gene measurement on an absolute, copy-per-cell basis.
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A clonogenic common myeloid progenitor that gives rise to all myeloid lineages
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Self-citationIdentification of Clonogenic Common Lymphoid Progenitors in Mouse Bone Marrow
Kondo, M., Weissman, I. L., & Akashi, K. (1997) · Cell · doi:10.1016/s0092-8674(00)80453-5 · Cited by 2,253
Self-citationVogelstein, B., & Kinzler, K. W. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.16.9236 · Cited by 1,770
Quantitative real-time RT-PCR – a perspective
Bustin, S. A., Benes, V, Nolan, T., & Pfaffl, M. W. (2005) · Journal of Molecular Endocrinology · doi:10.1677/jme.1.01755 · Cited by 1,321
Stochastic protein expression in individual cells at the single molecule level
Cai, L., Friedman, N., & Xie, X. S. (2006) · Nature · doi:10.1038/nature04599 · Cited by 1,145
Biology of Hematopoietic Stem Cells and Progenitors: Implications for Clinical Application
Kondo, M., Wagers, A. J., Manz, M. G., Prohaska, S. S., Scherer, D. C., Beilhack, G. F., Shizuru, J. A., & Weissman, I. L. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141007 · Cited by 997
Self-citationChristensen, J. L., & Weissman, I. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.261562798 · Cited by 785
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Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
Raj, A., & van Oudenaarden, A. (2008) · Cell · doi:10.1016/j.cell.2008.09.050 · Cited by 2,593
High-throughput droplet digital PCR system for absolute quantitation of DNA copy number
Hindson, B. J., Ness, K. D., Masquelier, D. A., Belgrader, P., Heredia, N. J., Makarewicz, A. J., Bright, I. J., Lucero, M. Y., Hiddessen, A. L., Legler, T. C., et al. (2011) · Analytical Chemistry · doi:10.1021/ac202028g · Cited by 2,792
Association of reactive oxygen species levels and radioresistance in cancer stem cells
Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., Qian, D., Lam, J. S., Ailles, L. E., Wong, M., et al. (2009) · Nature · doi:10.1038/nature07733 · Cited by 2,555
Self-citationThe Technology and Biology of Single-Cell RNA Sequencing
Kolodziejczyk, A. A., Kim, J. K., Svensson, V., Marioni, J. C., & Teichmann, S. A. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.04.005 · Cited by 1,487
Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
Islam, S., Kjällquist, U., Moliner, A., Zajac, P., Fan, J.-B., Lönnerberg, P., & Linnarsson, S. (2011) · Genome Research · doi:10.1101/gr.110882.110 · Cited by 949
Metadata
- Authors
- Warren, L., Bryder, D., Weissman, I. L., & Quake, S. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-11-21
- Volume
- 103
- Issue
- 47
- Pages
- 17807-17812
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2145452684
- Cited by
- 369
- References
- 32
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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