The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Comprehensive microRNA expression profiling of the hematopoietic hierarchy
Open accessAbstract
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.
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
A clonogenic common myeloid progenitor that gives rise to all myeloid lineages
Akashi, K., Traver, D., Miyamoto, T., & Weissman, I. L. (2000) · Nature · doi:10.1038/35004599 · Cited by 2,617
Cited by
MicroRNA profiling: approaches and considerations
Pritchard, C. C., Cheng, H. H., & Tewari, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3198 · Cited by 1,765
High-throughput microfluidic single-cell RT-qPCR
White, A. K., VanInsberghe, M., Petriv, O. I., Hamidi, M., Sikorski, D., Marra, M. A., Piret, J., Aparicio, S., & Hansen, C. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019446108 · Cited by 440
Self-citationAdult-specific functions of animal microRNAs
Sun, K., & Lai, E. C. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3471 · Cited by 334
Micro Total Analysis Systems for Cell Biology and Biochemical Assays
Kovarik, M. L., Gach, P. C., Ornoff, D. M., Wang, Y., Balowski, J., Farrag, L., & Allbritton, N. L. (2012) · Analytical Chemistry · doi:10.1021/ac202611x · Cited by 270
Tian, Q., Price, N. D., & Hood, L. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2011.02498.x · Cited by 224
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
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: 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
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.