دورية أكاديمية

Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths

التفاصيل البيبلوغرافية
العنوان: Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths
المؤلفون: Samuel L. Wolock, Indira Krishnan, Danielle E. Tenen, Victoria Matkins, Virginia Camacho, Sweta Patel, Puneet Agarwal, Ravi Bhatia, Daniel G. Tenen, Allon M. Klein, Robert S. Welner
المصدر: Cell Reports, Vol 28, Iss 2, Pp 302-311.e5 (2019)
بيانات النشر: Elsevier, 2019.
سنة النشر: 2019
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: Summary: The bone marrow microenvironment is composed of heterogeneous cell populations of non-hematopoietic cells with complex phenotypes and undefined trajectories of maturation. Among them, mesenchymal cells maintain the production of stromal, bone, fat, and cartilage cells. Resolving these unique cellular subsets within the bone marrow remains challenging. Here, we used single-cell RNA sequencing of non-hematopoietic bone marrow cells to define specific subpopulations. Furthermore, by combining computational prediction of the cell state hierarchy with the known expression of key transcription factors, we mapped differentiation paths to the osteocyte, chondrocyte, and adipocyte lineages. Finally, we validated our findings using lineage-specific reporter strains and targeted knockdowns. Our analysis reveals differentiation hierarchies for maturing stromal cells, determines key transcription factors along these trajectories, and provides an understanding of the complexity of the bone marrow microenvironment. : Using single-cell RNA sequencing, Wolock et al. reconstruct the transcriptional hierarchy of mouse bone marrow stromal cell states and infer differentiation paths to fat, bone, and cartilage. These cell state relations were validated using lineage-specific reporter strains and targeted knockdowns of transcription factors that mediate fate decisions. Keywords: stromal cell, differentiation, scRNA-seq, bone marrow, transcription factor
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2211-1247
Relation: http://www.sciencedirect.com/science/article/pii/S2211124719307971; https://doaj.org/toc/2211-1247
DOI: 10.1016/j.celrep.2019.06.031
URL الوصول: https://doaj.org/article/b3297ada2b054007be3ba2eea0670df5
رقم الأكسشن: edsdoj.b3297ada2b054007be3ba2eea0670df5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22111247
DOI:10.1016/j.celrep.2019.06.031