The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Single-Cell Transcriptomes Distinguish Stem Cell State Changes and Lineage Specification Programs in Early Mammary Gland Development
Open accessAbstract
The mammary gland consists of cells with gene expression patterns reflecting their cellular origins, function, and spatiotemporal context. However, knowledge of developmental kinetics and mechanisms of lineage specification is lacking. We address this significant knowledge gap by generating a single-cell transcriptome atlas encompassing embryonic, postnatal, and adult mouse mammary development. From these data, we map the chronology of transcriptionally and epigenetically distinct cell states and distinguish fetal mammary stem cells (fMaSCs) from their precursors and progeny. fMaSCs show balanced co-expression of factors associated with discrete adult lineages and a metabolic gene signature that subsides during maturation but reemerges in some human breast cancers and metastases. These data provide a useful resource for illuminating mammary cell heterogeneity, the kinetics of differentiation, and developmental correlates of tumorigenesis.
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
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502
Generation of a functional mammary gland from a single stem cell
Shackleton, M., Vaillant, F., Simpson, K. J., Stingl, J., Smyth, G. K., Asselin-Labat, M.-L., Wu, L., Lindeman, G. J., & Visvader, J. E. (2006) · Nature · doi:10.1038/nature04372 · Cited by 2,005
kConFab, Lim, E., Vaillant, F., Wu, D., Forrest, N. C., Pal, B., Hart, A. H., Asselin-Labat, M.-L., Gyorki, D. E., Ward, T., et al. (2009) · Nature Medicine · doi:10.1038/nm.2000 · Cited by 1,492
Distinct stem cells contribute to mammary gland development and maintenance
Van Keymeulen, A., Rocha, A. S., Ousset, M., Beck, B., Bouvencourt, G., Rock, J., Sharma, N., Dekoninck, S., & Blanpain, C. (2011) · Nature · doi:10.1038/nature10573 · Cited by 854
From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing
Marinov, G. K., Williams, B. A., McCue, K., Schroth, G. P., Gertz, J., Myers, R. M., & Wold, B. J. (2014) · Genome Research · doi:10.1101/gr.161034.113 · Cited by 468
Control of intestinal stem cell function and proliferation by mitochondrial pyruvate metabolism
Schell, J. C., Wisidagama, D. R., Bensard, C., Zhao, H., Wei, P., Tanner, J., Flores, A., Mohlman, J., Sorensen, L. K., Earl, C. S., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3593 · Cited by 322
Cited by
Ireland, A. S., Micinski, A. M., Kastner, D. W., Guo, B., Wait, S. J., Spainhower, K. B., Conley, C. C., Chen, O. S., Guthrie, M. R., Soltero, D., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.05.001 · Cited by 508
Self-citationStem Cells and the Differentiation Hierarchy in Mammary Gland Development
Fu, N. Y., Nolan, E., Lindeman, G. J., & Visvader, J. E. (2020) · Physiological Reviews · doi:10.1152/physrev.00040.2018 · Cited by 267
Aging-Associated Alterations in Mammary Epithelia and Stroma Revealed by Single-Cell RNA Sequencing
Li, C. M.-C., Shapiro, H., Tsiobikas, C., Selfors, L. M., Chen, H., Rosenbluth, J., Moore, K., Gupta, K. P., Gray, G. K., Oren, Y., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108566 · Cited by 184
Cancer Stem Cells and Epithelial-to-Mesenchymal Transition in Cancer Metastasis
Celià-Terrassa, T., & Jolly, M. K. (2020) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a036905 · Cited by 163
Metadata
- Authors
- Giraddi, R. R., Chung, C.-Y., Heinz, R. E., Balcioglu, O., Novotny, M., Trejo, C. L., Dravis, C., Hagos, B. M., Mehrabad, E. M., Rodewald, L. W., Hwang, J. Y., Fan, C., Lasken, R., Varley, K. E., Perou, C. M., Wahl, G. M., & Spike, B. T.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 24
- Issue
- 6
- Pages
- 1653-1666.e7
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2887779955
- Cited by
- 164
- References
- 12
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- gold
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: Single-Cell Transcriptomes Distinguish Stem Cell State Changes and Lineage Specification Programs in Early Mammary Gland Development. https://app.cochat.ai/papers/10.1016/j.celrep.2018.07.025
- The paper
- Giraddi, R. R., Chung, C.-Y., Heinz, R. E., Balcioglu, O., Novotny, M., Trejo, C. L., Dravis, C., Hagos, B. M., Mehrabad, E. M., Rodewald, L. W., Hwang, J. Y., Fan, C., Lasken, R., Varley, K. E., Perou, C. M., Wahl, G. M., & Spike, B. T. (2018). Single-Cell Transcriptomes Distinguish Stem Cell State Changes and Lineage Specification Programs in Early Mammary Gland Development. Cell Reports. https://doi.org/10.1016/j.celrep.2018.07.025
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.
