Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations
The development of mouse genetic tools has made a significant contribution to the understanding of skeletal and hematopoietic stem cell niches in bone marrow (BM). However, many experimental designs (e.g., selections of marker genes, target vector constructions, and choices of reporter murine strain...
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doaj-c33dd52064984c01a570f516aeb937492020-11-25T01:09:10ZengElsevierStem Cell Reports2213-67112017-11-019513431358Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational ConsiderationsKevin G. Chen0Kory R. Johnson1Pamela G. Robey2NIH Stem Cell Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA; Corresponding authorInformation Technology and Bioinformatics Program, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USASkeletal Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 20892, USA; Corresponding authorThe development of mouse genetic tools has made a significant contribution to the understanding of skeletal and hematopoietic stem cell niches in bone marrow (BM). However, many experimental designs (e.g., selections of marker genes, target vector constructions, and choices of reporter murine strains) have unavoidable technological limitations and bias, which lead to experimental discrepancies, data reproducibility issues, and frequent data misinterpretation. Consequently, there are a number of conflicting views relating to fundamental biological questions, including origins and locations of skeletal and hematopoietic stem cells in the BM. In this report, we systematically unravel complicated data interpretations via comprehensive analyses of technological benefits, pitfalls, and challenges in frequently used mouse models and discuss their translational relevance to human stem cell biology. Particularly, we emphasize the important roles of using large human genomic data-informatics in facilitating genetic analyses of mouse models and resolving existing controversies in mouse and human BM stem cell biology. : In this article, Chen and colleagues discuss technological challenges for genetic analysis of bone marrow stem cell niches. This article consists of a concise review, considerable perspectives, and in-depth data analysis. Importantly, the authors provide translational relevance through interrogating mouse genetic models with human genomic datasets. This review would aid to resolve data inconsistencies and their associated stem cell controversies. Keywords: stem cell niches, cell identity, bone marrow stromal cells, skeletal stem cells, hematopoietic stem cells, mouse genetics, genomics, epigenomics, nestin, leptin receptorhttp://www.sciencedirect.com/science/article/pii/S2213671117304216 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kevin G. Chen Kory R. Johnson Pamela G. Robey |
spellingShingle |
Kevin G. Chen Kory R. Johnson Pamela G. Robey Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations Stem Cell Reports |
author_facet |
Kevin G. Chen Kory R. Johnson Pamela G. Robey |
author_sort |
Kevin G. Chen |
title |
Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations |
title_short |
Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations |
title_full |
Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations |
title_fullStr |
Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations |
title_full_unstemmed |
Mouse Genetic Analysis of Bone Marrow Stem Cell Niches: Technological Pitfalls, Challenges, and Translational Considerations |
title_sort |
mouse genetic analysis of bone marrow stem cell niches: technological pitfalls, challenges, and translational considerations |
publisher |
Elsevier |
series |
Stem Cell Reports |
issn |
2213-6711 |
publishDate |
2017-11-01 |
description |
The development of mouse genetic tools has made a significant contribution to the understanding of skeletal and hematopoietic stem cell niches in bone marrow (BM). However, many experimental designs (e.g., selections of marker genes, target vector constructions, and choices of reporter murine strains) have unavoidable technological limitations and bias, which lead to experimental discrepancies, data reproducibility issues, and frequent data misinterpretation. Consequently, there are a number of conflicting views relating to fundamental biological questions, including origins and locations of skeletal and hematopoietic stem cells in the BM. In this report, we systematically unravel complicated data interpretations via comprehensive analyses of technological benefits, pitfalls, and challenges in frequently used mouse models and discuss their translational relevance to human stem cell biology. Particularly, we emphasize the important roles of using large human genomic data-informatics in facilitating genetic analyses of mouse models and resolving existing controversies in mouse and human BM stem cell biology. : In this article, Chen and colleagues discuss technological challenges for genetic analysis of bone marrow stem cell niches. This article consists of a concise review, considerable perspectives, and in-depth data analysis. Importantly, the authors provide translational relevance through interrogating mouse genetic models with human genomic datasets. This review would aid to resolve data inconsistencies and their associated stem cell controversies. Keywords: stem cell niches, cell identity, bone marrow stromal cells, skeletal stem cells, hematopoietic stem cells, mouse genetics, genomics, epigenomics, nestin, leptin receptor |
url |
http://www.sciencedirect.com/science/article/pii/S2213671117304216 |
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