Mammary gland development from a single cell 'omics view.
Cited by: 7
Understanding the complexity and heterogeneity of mammary cell subpopulations is vital to delineate the mechanisms behind breast cancer development, progression and prevention. Increasingly sophisticated tools for investigating these cell subtypes has led to the development of a greater understanding of these cell subtypes, complex interplay of certain subtypes and their developmental potential. Of note, increasing accessibility and affordability of single cell technologies has led to a plethora of studies being published containing data from mammary cell subtypes and their differentiation potential in both mice and human data sets. Here, we review the different types of single cell technologies and how they have been used to improve our understanding of mammary gland development.
1. Hybrid Stem Cell States: Insights Into the Relationship Between Mammary Development and Breast Cancer Using Single-Cell Transcriptomics.
2. Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity.
3. Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives.
4. Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets.
5. Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges.
1. Drop-seq of normal mammary cells pre and post- conditional reprogramming (CR)
2. Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
3. CITE-seq: Large scale simultaneous measuremnt of epitopes and transcriptomes in single cells
4. Simultaneous lineage tracing and cell type identification using CRISPR/Cas9 induced genetic scars
5. Mapping Mouse Cell Atlas by Microwell-seq