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Comprehensive microRNA expression profiling of the hematopoietic hierarchy

Open access
Petriv, O. I., Kuchenbauer, F., Delaney, A. D., Lecault, V., White, A., Kent, D., Marmolejo, L., Heuser, M., Berg, T., Copley, M., Ruschmann, J., Sekulovic, S., Benz, C., Kuroda, E., Ho, V., Antignano, F., Halim, T., Giambra, V., Krystal, G., Takei, C. J. F., Weng, A. P., Piret, J., Eaves, C., Marra, M. A., Humphries, R. K., Hansen, C. L.·2010·Proceedings of the National Academy of Sciences

Abstract

The hematopoietic system produces a large number of highly specialized cell types that are derived through a hierarchical differentiation process from a common stem cell population. miRNAs are critical players in orchestrating this differentiation. Here, we report the development and application of a high-throughput microfluidic real-time quantitative PCR (RT-qPCR) approach for generating global miRNA profiles for 27 phenotypically distinct cell populations isolated from normal adult mouse hematopoietic tissues. A total of 80,000 RT-qPCR assays were used to map the landscape of miRNA expression across the hematopoietic hierarchy, including rare progenitor and stem cell populations. We show that miRNA profiles allow for the direct inference of cell lineage relations and functional similarity. Our analysis reveals a close relatedness of the miRNA expression patterns in multipotent progenitors and stem cells, followed by a major reprogramming upon restriction of differentiation potential to a single lineage. The analysis of miRNA expression in single hematopoietic cells further demonstrates that miRNA expression is very tightly regulated within highly purified populations, underscoring the potential of single-cell miRNA profiling for assessing compartment heterogeneity.

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Metadata

Authors
Petriv, O. I., Kuchenbauer, F., Delaney, A. D., Lecault, V., White, A., Kent, D., Marmolejo, L., Heuser, M., Berg, T., Copley, M., Ruschmann, J., Sekulovic, S., Benz, C., Kuroda, E., Ho, V., Antignano, F., Halim, T., Giambra, V., Krystal, G., Takei, C. J. F., Weng, A. P., Piret, J., Eaves, C., Marra, M. A., Humphries, R. K., & Hansen, C. L.
Venue
Proceedings of the National Academy of Sciences
Published
2010-08-11
Volume
107
Issue
35
Pages
15443-15448
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2017971576
Cited by
170
References
1
FWCI
5.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Comprehensive microRNA expression profiling of the hematopoietic hierarchy. https://app.cochat.ai/papers/10.1073/pnas.1009320107
The paper
Petriv, O. I., Kuchenbauer, F., Delaney, A. D., Lecault, V., White, A., Kent, D., Marmolejo, L., Heuser, M., Berg, T., Copley, M., Ruschmann, J., Sekulovic, S., Benz, C., Kuroda, E., Ho, V., Antignano, F., Halim, T., Giambra, V., Krystal, G., . . . Hansen, C. L. (2010). Comprehensive microRNA expression profiling of the hematopoietic hierarchy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1009320107

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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.