Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling

The mammary epithelium comprises two primary cellular lineages, but the degree of heterogeneity within these compartments and their lineage relationships during development remain an open question. Here we report single-cell RNA profiling of mouse mammary epithelial cells spanning four developmental stages in the post-natal gland. Notably, the epithelium undergoes a large-scale shift in gene expression from a relatively homogeneous basal-like program in pre-puberty to distinct lineage-restricted programs in puberty. Interrogation of single-cell transcriptomes reveals different levels of diversity within the luminal and basal compartments, and identifies an early progenitor subset marked by CD55. Moreover, we uncover a luminal transit population and a rare mixed-lineage cluster amongst basal cells in the adult mammary gland. Together these findings point to a developmental hierarchy in which a basal-like gene expression program prevails in the early post-natal gland prior to the specification of distinct lineage signatures, and the presence of cellular intermediates that may serve as transit or lineage-primed cells.The mammary epithelium comprises two cell lineages but the heterogeneity amongst these during development is unclear. Here, the authors report single-cell RNA sequencing of the mouse mammary epithelium at four developmental stages, revealing diversity in both compartments and a transcriptional shift with puberty onset.

[1]  N. Neff,et al.  Reconstructing lineage hierarchies of the distal lung epithelium using single cell RNA-seq , 2014, Nature.

[2]  Bruce J. Aronow,et al.  Single-cell analysis of mixed-lineage states leading to a binary cell fate choice , 2016, Nature.

[3]  Elgene Lim,et al.  Open Access Research Article Transcriptome Analyses of Mouse and Human Mammary Cell Subpopulations Reveal Multiple Conserved Genes and Pathways , 2022 .

[4]  Li Yang,et al.  Identification of multipotent mammary stem cells by protein C receptor expression , 2014, Nature.

[5]  Somnath Datta,et al.  Statistical analysis of next generation sequencing date , 2014 .

[6]  J. Visvader,et al.  Control of mammary stem cell function by steroid hormone signalling , 2010, Nature.

[7]  M. Zvelebil,et al.  Transcriptome analysis of mammary epithelial subpopulations identifies novel determinants of lineage commitment and cell fate , 2008, BMC Genomics.

[8]  Marco Marra,et al.  Transcriptome analysis of the normal human mammary cell commitment and differentiation process. , 2008, Cell stem cell.

[9]  Integration of microRNA signatures of distinct mammary epithelial cell types with their gene expression and epigenetic portraits , 2015, Breast Cancer Research.

[10]  J. Fata,et al.  Cellular Turnover in the Mammary Gland Is Correlated with Systemic Levels of Progesterone and Not 17β-Estradiol During the Estrous Cycle1 , 2001, Biology of reproduction.

[11]  Julie M Sheridan,et al.  A pooled shRNA screen for regulators of primary mammary stem and progenitor cells identifies roles for Asap1 and Prox1 , 2015, BMC Cancer.

[12]  Y. Miyoshi,et al.  Prognostic Significance of CD55 Expression in Breast Cancer , 2008, Clinical Cancer Research.

[13]  W. Shi,et al.  The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote , 2013, Nucleic acids research.

[14]  P. Lásló,et al.  Multilineage Transcriptional Priming and Determination of Alternate Hematopoietic Cell Fates , 2006, Cell.

[15]  Haiyan I. Li,et al.  Purification and unique properties of mammary epithelial stem cells , 2006, Nature.

[16]  Jane E. Visvader,et al.  In situ identification of bipotent stem cells in the mammary gland , 2014, Nature.

[17]  J. Visvader,et al.  Aldehyde Dehydrogenase Activity Is a Biomarker of Primitive Normal Human Mammary Luminal Cells , 2012, Stem cells.

[18]  S. Orkin,et al.  Mapping cellular hierarchy by single-cell analysis of the cell surface repertoire. , 2013, Cell stem cell.

[19]  Veronica Sanchez-Freire,et al.  Microfluidic single-cell real-time PCR for comparative analysis of gene expression patterns , 2012, Nature Protocols.

[20]  L. Steinmetz,et al.  Human haematopoietic stem cell lineage commitment is a continuous process , 2017, Nature Cell Biology.

[21]  Lior Pachter,et al.  Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis , 2015, Science.

[22]  François Vaillant,et al.  Generation of a functional mammary gland from a single stem cell , 2006, Nature.

[23]  J. Visvader,et al.  Mammary stem cells and the differentiation hierarchy: current status and perspectives , 2014, Genes & development.

[24]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[25]  M. Greaves,et al.  Multilineage gene expression precedes commitment in the hemopoietic system. , 1997, Genes & development.

[26]  Alex A. Pollen,et al.  Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex , 2014, Nature Biotechnology.

[27]  N. Neff,et al.  Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq , 2016, Nature.

[28]  Wei Shi,et al.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..

[29]  Matthew E. Ritchie,et al.  Identification of quiescent and spatially restricted mammary stem cells that are hormone responsive , 2017, Nature Cell Biology.

[30]  Guo-Cheng Yuan,et al.  Single-Cell Transcript Profiles Reveal Multilineage Priming in Early Progenitors Derived from Lgr5(+) Intestinal Stem Cells. , 2016, Cell reports.

[31]  Grace X. Y. Zheng,et al.  Massively parallel digital transcriptional profiling of single cells , 2016, Nature Communications.

[32]  Lindsay Hinck,et al.  Netrin-1/neogenin interaction stabilizes multipotent progenitor cap cells during mammary gland morphogenesis. , 2003, Developmental cell.

[33]  C. Eaves,et al.  Developmental Changes in the in Vitro Activated Regenerative Activity of Primitive Mammary Epithelial Cells , 2013, PLoS biology.

[34]  Wilko Weichert,et al.  Single-Cell Analysis Uncovers Clonal Acinar Cell Heterogeneity in the Adult Pancreas. , 2016, Developmental cell.

[35]  Gordon K. Smyth,et al.  Testing significance relative to a fold-change threshold is a TREAT , 2009, Bioinform..

[36]  C. Clarke,et al.  Progesterone induces adult mammary stem cell expansion , 2010, Nature.

[37]  Wei Shi,et al.  Gata-3 Negatively Regulates the Tumor-Initiating Capacity of Mammary Luminal Progenitor Cells and Targets the Putative Tumor Suppressor Caspase-14 , 2011, Molecular and Cellular Biology.

[38]  J. Seidman,et al.  Single-Cell Resolution of Temporal Gene Expression during Heart Development. , 2016, Developmental cell.

[39]  Aaron T. L. Lun,et al.  EGF-mediated induction of Mcl-1 at the switch to lactation is essential for alveolar cell survival , 2015, Nature Cell Biology.

[40]  Jeroen Krijgsveld,et al.  Identification of regulatory networks in HSCs and their immediate progeny via integrated proteome, transcriptome, and DNA methylome analysis , 2015 .

[41]  Wei Shi,et al.  Global changes in the mammary epigenome are induced by hormonal cues and coordinated by Ezh2. , 2013, Cell reports.

[42]  Fabian J. Theis,et al.  Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations , 2015, Cell stem cell.

[43]  S. Anderson,et al.  An Atlas of Mouse Mammary Gland Development , 2004, Journal of Mammary Gland Biology and Neoplasia.

[44]  Derek C. Radisky,et al.  OTX1 expression in breast cancer is regulated by p53 , 2014, Oncogene.

[45]  Mark A Ragan,et al.  Towards the mammalian interactome: Inference of a core mammalian interaction set in mouse , 2009, Proteomics.

[46]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[47]  Judith A. Blake,et al.  Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse , 2016, Nucleic Acids Res..

[48]  M. Bissell,et al.  Mammary gland development: cell fate specification, stem cells and the microenvironment , 2015, Development.

[49]  Mauro J. Muraro,et al.  Identity and dynamics of mammary stem cells during branching morphogenesis , 2017, Nature.

[50]  Joseph Cursons,et al.  Determining the Significance of Protein Network Features and Attributes Using Permutation Testing. , 2017, Methods in molecular biology.

[51]  Hans Clevers,et al.  Single-cell messenger RNA sequencing reveals rare intestinal cell types , 2015, Nature.

[52]  M. Omary,et al.  Keratin Hypersumoylation Alters Filament Dynamics and Is a Marker for Human Liver Disease and Keratin Mutation* , 2010, The Journal of Biological Chemistry.

[53]  C. Caldas,et al.  Phenotypic and functional characterisation of the luminal cell hierarchy of the mammary gland , 2012, Breast Cancer Research.

[54]  Jaclyn R. Gareau,et al.  The SUMO pathway: emerging mechanisms that shape specificity, conjugation and recognition , 2010, Nature Reviews Molecular Cell Biology.

[55]  M. Tessier-Lavigne,et al.  Slit2 and netrin 1 act synergistically as adhesive cues to generate tubular bi-layers during ductal morphogenesis , 2006, Development.

[56]  R. Nusse,et al.  Developmental stage and time dictate the fate of Wnt/β-catenin-responsive stem cells in the mammary gland. , 2012, Cell stem cell.

[57]  Cathrin Brisken,et al.  Progesterone signalling in breast cancer: a neglected hormone coming into the limelight , 2013, Nature Reviews Cancer.

[58]  Amy E Herr,et al.  Single-Cell Western Blotting. , 2015, Methods in molecular biology.

[59]  G. Wahl,et al.  A mammary stem cell population identified and characterized in late embryogenesis reveals similarities to human breast cancer. , 2012, Cell stem cell.

[60]  T. Stein,et al.  Mammary Gland Development , 2017, Methods in Molecular Biology.

[61]  Mauro J. Muraro,et al.  De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data , 2016, Cell stem cell.

[62]  S. Horvath,et al.  Single-Cell Transcriptome Analyses Reveal Signals to Activate Dormant Neural Stem Cells , 2015, Cell.

[63]  Davis J. McCarthy,et al.  Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.

[64]  J. Wysolmerski,et al.  Embryonic cells contribute directly to the quiescent stem cell population in the adult mouse mammary gland , 2014, Breast Cancer Research.