1
|
Story B, Velten L, Mönke G, Annan A, Steinmetz L. Mitoclone2: an R package for elucidating clonal structure in single-cell RNA-sequencing data using mitochondrial variants. NAR Genom Bioinform 2024; 6:lqae095. [PMID: 39131821 PMCID: PMC11310777 DOI: 10.1093/nargab/lqae095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 06/14/2024] [Accepted: 07/23/2024] [Indexed: 08/13/2024] Open
Abstract
Clonal cell population dynamics play a critical role in both disease and development. Due to high mitochondrial mutation rates under both healthy and diseased conditions, mitochondrial genomic variability is a particularly useful resource in facilitating the identification of clonal population structure. Here we present mitoClone2, an all-inclusive R package allowing for the identification of clonal populations through integration of mitochondrial heteroplasmic variants discovered from single-cell sequencing experiments. Our package streamlines the investigation of this phenomenon by providing: built-in compatibility with commonly used tools for the delineation of clonal structure, the ability to directly use multiplexed BAM files as input, annotations for both human and mouse mitochondrial genomes, and helper functions for calling, filtering, clustering, and visualizing variants.
Collapse
Affiliation(s)
- Benjamin Story
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Lars Velten
- Center for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Gregor Mönke
- Developmental Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Ahrmad Annan
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Lars Steinmetz
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Genome Technology Center, Palo Alto, CA, USA
| |
Collapse
|
2
|
Hannezo E, Scheele CLGJ. A Guide Toward Multi-scale and Quantitative Branching Analysis in the Mammary Gland. Methods Mol Biol 2023; 2608:183-205. [PMID: 36653709 DOI: 10.1007/978-1-0716-2887-4_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The mammary gland consists of a bilayered epithelial structure with an extensively branched morphology. The majority of this epithelial tree is laid down during puberty, during which actively proliferating terminal end buds repeatedly elongate and bifurcate to form the basic structure of the ductal tree. Mammary ducts consist of a basal and luminal cell layer with a multitude of identified sub-lineages within both layers. The understanding of how these different cell lineages are cooperatively driving branching morphogenesis is a problem of crossing multiple scales, as this requires information on the macroscopic branched structure of the gland, as well as data on single-cell dynamics driving the morphogenic program. Here we describe a method to combine genetic lineage tracing with whole-gland branching analysis. Quantitative data on the global organ structure can be used to derive a model for mammary gland branching morphogenesis and provide a backbone on which the dynamics of individual cell lineages can be simulated and compared to lineage-tracing approaches. Eventually, these quantitative models and experiments allow to understand the couplings between the macroscopic shape of the mammary gland and the underlying single-cell dynamics driving branching morphogenesis.
Collapse
Affiliation(s)
- Edouard Hannezo
- Institute of Science and Technology Austria (IST), Klosterneuburg, Austria
| | - Colinda L G J Scheele
- VIB Center for Cancer Biology, Leuven, Belgium. .,Department of Oncology, KU Leuven, Leuven, Belgium.
| |
Collapse
|
3
|
Iwayama T, Sakashita H, Takedachi M, Murakami S. Periodontal tissue stem cells and mesenchymal stem cells in the periodontal ligament. JAPANESE DENTAL SCIENCE REVIEW 2022; 58:172-178. [PMID: 35607404 PMCID: PMC9123259 DOI: 10.1016/j.jdsr.2022.04.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/21/2022] [Accepted: 04/26/2022] [Indexed: 12/24/2022] Open
Abstract
Periodontal tissue stem cells, which play a crucial role in maintaining the homeostasis of periodontal tissues, are found in the periodontal ligament (PDL). These cells have long been referred to as mesenchymal stem/stromal cells (MSCs), and their clinical applications have been extensively studied. However, tissue stem cells in the PDL have not been thoroughly investigated, and they may be different from MSCs. Recent advances in stem cell biology, such as genetic lineage tracing, identification of label-retaining cells, and single-cell transcriptome analysis, have made it possible to analyze tissue stem cells in the PDL in vivo. In this review, we summarize recent findings on these stem cell populations in PDL and discuss future research directions toward developing periodontal regenerative therapy.
Collapse
|
4
|
Steiner BM, Berry DC. The Regulation of Adipose Tissue Health by Estrogens. Front Endocrinol (Lausanne) 2022; 13:889923. [PMID: 35721736 PMCID: PMC9204494 DOI: 10.3389/fendo.2022.889923] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/25/2022] [Indexed: 12/14/2022] Open
Abstract
Obesity and its' associated metabolic diseases such as type 2 diabetes and cardiometabolic disorders are significant health problems confronting many countries. A major driver for developing obesity and metabolic dysfunction is the uncontrolled expansion of white adipose tissue (WAT). Specifically, the pathophysiological expansion of visceral WAT is often associated with metabolic dysfunction due to changes in adipokine secretion profiles, reduced vascularization, increased fibrosis, and enrichment of pro-inflammatory immune cells. A critical determinate of body fat distribution and WAT health is the sex steroid estrogen. The bioavailability of estrogen appears to favor metabolically healthy subcutaneous fat over visceral fat growth while protecting against changes in metabolic dysfunction. Our review will focus on the role of estrogen on body fat partitioning, WAT homeostasis, adipogenesis, adipocyte progenitor cell (APC) function, and thermogenesis to control WAT health and systemic metabolism.
Collapse
Affiliation(s)
| | - Daniel C. Berry
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| |
Collapse
|
5
|
Lu T, Park S, Zhu J, Wang Y, Zhan X, Wang X, Wang L, Zhu H, Wang T. Overcoming Expressional Drop-outs in Lineage Reconstruction from Single-Cell RNA-Sequencing Data. Cell Rep 2021; 34:108589. [PMID: 33406427 DOI: 10.1016/j.celrep.2020.108589] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/04/2020] [Accepted: 12/09/2020] [Indexed: 01/07/2023] Open
Abstract
Single-cell lineage tracing provides crucial insights into the fates of individual cells. Single-cell RNA sequencing (scRNA-seq) is commonly applied in modern biomedical research, but genetics-based lineage tracing for scRNA-seq data is still unexplored. Variant calling from scRNA-seq data uniquely suffers from "expressional drop-outs," including low expression and allelic bias in gene expression, which presents significant obstacles for lineage reconstruction. We introduce SClineager, which infers accurate evolutionary lineages from scRNA-seq data by borrowing information from related cells to overcome expressional drop-outs. We systematically validate SClineager and show that genetics-based lineage tracing is applicable for single-cell-sequencing studies of both tumor and non-tumor tissues using SClineager. Overall, our work provides a powerful tool that can be applied to scRNA-seq data to decipher the lineage histories of cells and that could address a missing opportunity to reveal valuable information from the large amounts of existing scRNA-seq data.
Collapse
Affiliation(s)
- Tianshi Lu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Seongoh Park
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Statistics, Sungshin Women's University, Seoul 02844, Republic of Korea
| | - James Zhu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Yunguan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xiaowei Zhan
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xinlei Wang
- Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, USA
| | - Li Wang
- Department of Mathematics and Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Hao Zhu
- Children's Research Institute, Department of Pediatrics and Department of Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Tao Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| |
Collapse
|
6
|
Bakovic M, Thakkar D, DeBenedittis P, Chong DC, Thomas MC, Iversen ES, Karra R. Clonal Analysis of the Neonatal Mouse Heart using Nearest Neighbor Modeling. J Vis Exp 2020. [PMID: 32894270 DOI: 10.3791/61656] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
By replacing lost or dysfunctional myocardium, tissue regeneration is a promising approach to treat heart failure. However, the challenge of detecting bona fide heart regeneration limits the validation of potential regenerative factors. One method to detect new cardiomyocytes is multicolor lineage tracing with clonal analysis. Clonal analysis experiments can be difficult to undertake, because labeling conditions that are too sparse lack sensitivity for rare events such as cardiomyocyte proliferation, and diffuse labeling limits the ability to resolve clones. Presented here is a protocol to undertake clonal analysis of the neonatal mouse heart by using statistical modeling of nearest neighbor distributions to resolve cardiomyocyte clones. This approach enables resolution of clones over a range of labeling conditions and provides a robust analytical approach for quantifying cardiomyocyte proliferation and regeneration. This protocol can be adapted to other tissues and can be broadly used to study tissue regeneration.
Collapse
Affiliation(s)
| | - Devang Thakkar
- Center for Genomic and Computational Biology, Duke University
| | | | | | | | | | - Ravi Karra
- Department of Medicine, Duke University; Regeneration Next, Duke University;
| |
Collapse
|
7
|
Naito H, Iba T, Takakura N. Mechanisms of new blood-vessel formation and proliferative heterogeneity of endothelial cells. Int Immunol 2020; 32:295-305. [DOI: 10.1093/intimm/dxaa008] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 01/27/2020] [Indexed: 12/26/2022] Open
Abstract
Abstract
The vast blood-vessel network of the circulatory system is crucial for maintaining bodily homeostasis, delivering essential molecules and blood cells, and removing waste products. Blood-vessel dysfunction and dysregulation of new blood-vessel formation are related to the onset and progression of many diseases including cancer, ischemic disease, inflammation and immune disorders. Endothelial cells (ECs) are fundamental components of blood vessels and their proliferation is essential for new vessel formation, making them good therapeutic targets for regulating the latter. New blood-vessel formation occurs by vasculogenesis and angiogenesis during development. Induction of ECs termed tip, stalk and phalanx cells by interactions between vascular endothelial growth factor A (VEGF-A) and its receptors (VEGFR1–3) and between Notch and Delta-like Notch ligands (DLLs) is crucial for regulation of angiogenesis. Although the importance of angiogenesis is unequivocal in the adult, vasculogenesis effected by endothelial progenitor cells (EPCs) may also contribute to post-natal vessel formation. However, the definition of these cells is ambiguous and they include several distinct cell types under the simple classification of ‘EPC’. Furthermore, recent evidence indicates that ECs within the intima show clonal expansion in some situations and that they may harbor vascular-resident endothelial stem cells. In this article, we summarize recent knowledge on vascular development and new blood-vessel formation in the adult. We also introduce concepts of EC heterogeneity and EC clonal expansion, referring to our own recent findings.
Collapse
Affiliation(s)
- Hisamichi Naito
- Department of Signal Transduction, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan
| | - Tomohiro Iba
- Department of Signal Transduction, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan
| | - Nobuyuki Takakura
- Department of Signal Transduction, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan
- Laboratory of Signal Transduction, World Premier Institute Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan
| |
Collapse
|
8
|
Marcy G, Raineteau O. Contributions of Single-Cell Approaches for Probing Heterogeneity and Dynamics of Neural Progenitors Throughout Life: Concise Review. Stem Cells 2019; 37:1381-1388. [DOI: 10.1002/stem.3071] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 07/21/2019] [Indexed: 02/06/2023]
Affiliation(s)
- Guillaume Marcy
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208; Bron France
- Neurogenetics Department; Ecole Pratique des Hautes Etudes, PSL Research University; Paris France
| | - Olivier Raineteau
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208; Bron France
| |
Collapse
|
9
|
Donovan P, Patel J, Dight J, Wong HY, Sim SL, Murigneux V, Francois M, Khosrotehrani K. Endovascular progenitors infiltrate melanomas and differentiate towards a variety of vascular beds promoting tumor metastasis. Nat Commun 2019; 10:18. [PMID: 30604758 PMCID: PMC6318267 DOI: 10.1038/s41467-018-07961-w] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 12/10/2018] [Indexed: 01/05/2023] Open
Abstract
Tumor vascularization is a hallmark of cancer central to disease progression and metastasis. Current anti-angiogenic therapies have limited success prompting the need to better understand the cellular origin of tumor vessels. Using fate-mapping analysis of endothelial cell populations in melanoma, we report the very early infiltration of endovascular progenitors (EVP) in growing tumors. These cells harbored self-renewal and reactivated the expression of SOX18 transcription factor, initiating a vasculogenic process as single cells, progressing towards a transit amplifying stage and ultimately differentiating into more mature endothelial phenotypes that comprised arterial, venous and lymphatic subtypes within the core of the tumor. Molecular profiling by RNA sequencing of purified endothelial fractions characterized EVPs as quiescent progenitors remodeling the extracellular matrix with significant paracrine activity promoting growth. Functionally, EVPs did not rely on VEGF-A signaling whereas endothelial-specific loss of Rbpj depleted the population and strongly inhibited metastasis. The understanding of endothelial heterogeneity opens new avenues for more effective anti-vascular therapies in cancer. The contribution of endothelial progenitor cells to tumor angiogenesis is controversial. Here, the authors trace the lineage differentiation of endovascular progenitor cells and demonstrate their functional importance in tumor vascularization and progression.
Collapse
Affiliation(s)
- Prudence Donovan
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia
| | - Jatin Patel
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia.
| | - James Dight
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia
| | - Ho Yi Wong
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia
| | - Seen-Ling Sim
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia
| | - Valentine Murigneux
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia
| | - Mathias Francois
- Institute of Molecular Biosciences, The University of Queensland, Brisbane, 4072, QLD, Australia
| | - Kiarash Khosrotehrani
- Translational Research Institute, UQ Diamantina Institute, The University of Queensland, Brisbane, 4102, QLD, Australia.
| |
Collapse
|
10
|
Gomes SA, Hare JM, Rangel EB. Kidney-Derived c-Kit + Cells Possess Regenerative Potential. Stem Cells Transl Med 2018; 7:317-324. [PMID: 29575816 PMCID: PMC5866938 DOI: 10.1002/sctm.17-0232] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Revised: 12/15/2017] [Accepted: 01/14/2018] [Indexed: 12/27/2022] Open
Abstract
Kidney-derived c-Kit+ cells exhibit progenitor/stem cell properties in vitro (self-renewal capacity, clonogenicity, and multipotentiality). These cells can regenerate epithelial tubular cells following ischemia-reperfusion injury and accelerate foot processes effacement reversal in a model of acute proteinuria in rats. Several mechanisms are involved in kidney regeneration by kidney-derived c-Kit+ cells, including cell engraftment and differentiation into renal-like structures, such as tubules, vessels, and podocytes. Moreover, paracrine mechanisms could also account for kidney regeneration, either by stimulating proliferation of surviving cells or modulating autophagy and podocyte cytoskeleton rearrangement through mTOR-Raptor and -Rictor signaling, which ultimately lead to morphological and functional improvement. To gain insights into the functional properties of c-Kit+ cells during kidney development, homeostasis, and disease, studies on lineage tracing using transgenic mice will unveil their fate. The results obtained from these studies will set the basis for establishing further investigation on the therapeutic potential of c-Kit+ cells for treatment of kidney disease in preclinical and clinical studies. Stem Cells Translational Medicine 2018;7:317-324.
Collapse
Affiliation(s)
- Samirah A. Gomes
- Laboratory of Cellular, Genetic, and Molecular Nephrology, Renal DivisionUniversity of São PauloSão PauloSão PauloBrazil
| | - Joshua M. Hare
- Interdisciplinary Stem Cell InstituteLeonard M Miller School of Medicine, University of MiamiMiamiFloridaUSA
- Department of Molecular and Cellular PharmacologyLeonard M Miller School of Medicine, University of MiamiMiamiFloridaUSA
- Division of CardiologyLeonard M Miller School of Medicine, University of MiamiMiamiFloridaUSA
| | - Erika B. Rangel
- Instituto Israelita de Ensino e Pesquisa Albert Einstein, Hospital Israelita Albert EinsteinSão PauloSão PauloBrazil
- Division of NephrologyFederal University of São PauloSão PauloSão PauloBrazil
| |
Collapse
|
11
|
Spanjaard B, Junker JP. Methods for lineage tracing on the organism-wide level. Curr Opin Cell Biol 2017; 49:16-21. [PMID: 29175321 DOI: 10.1016/j.ceb.2017.11.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 10/30/2017] [Accepted: 11/01/2017] [Indexed: 01/22/2023]
Abstract
Determining the lineage origin of cell types is a major goal in developmental biology. Furthermore, lineage tracing is a powerful approach for understanding the origin of developmental defects as well as the origin of diseases such as cancer. There is now a variety of complementary approaches for identifying lineage relationships, ranging from direct observation of cell divisions by light microscopy to genetic labeling of cells using inducible recombinases and fluorescent reporters. A recent development, and the main topic of this review article, is the use of high-throughput sequencing data for lineage analysis. This emerging approach holds the promise of increased multiplexing capacity, allowing lineage analysis of large cell numbers up to the organism-wide level combined with simultaneous transcription profiling by single cell RNA sequencing.
Collapse
Affiliation(s)
- Bastiaan Spanjaard
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 13092 Berlin-Buch, Germany
| | - Jan Philipp Junker
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 13092 Berlin-Buch, Germany.
| |
Collapse
|
12
|
Affiliation(s)
- Charles K F Chan
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Palo Alto, CA 94305, USA.
| | - Michael T Longaker
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Palo Alto, CA 94305, USA. .,Hagey Laboratory for Pediatric Regenerative Medicine and Department of Surgery, Stanford University, Palo Alto, CA 94305, USA
| |
Collapse
|
13
|
Abstract
The skin forms a protective, water-impermeable barrier consisting of heavily crosslinked epithelial cells. However, the specific role of stem cells in sustaining this barrier remains a contentious issue. A detailed analysis of the interfollicular epidermis now proposes a model for how a composite of cells with different properties are involved in its maintenance.
Collapse
Affiliation(s)
- Marianne S Andersen
- BRIC-Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Kim B Jensen
- BRIC-Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark
| |
Collapse
|
14
|
|
15
|
Eymael J, Smeets B. Origin and fate of the regenerating cells of the kidney. Eur J Pharmacol 2016; 790:62-73. [DOI: 10.1016/j.ejphar.2016.07.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 07/08/2016] [Accepted: 07/19/2016] [Indexed: 12/25/2022]
|
16
|
Roy E, Neufeld Z, Cerone L, Wong HY, Hodgson S, Livet J, Khosrotehrani K. Bimodal behaviour of interfollicular epidermal progenitors regulated by hair follicle position and cycling. EMBO J 2016; 35:2658-2670. [PMID: 27797819 DOI: 10.15252/embj.201693806] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 09/23/2016] [Accepted: 09/27/2016] [Indexed: 11/09/2022] Open
Abstract
Interfollicular epidermal (IFE) homeostasis is a major physiological process allowing maintenance of the skin barrier function. Despite progress in our understanding of stem cell populations in different hair follicle compartments, cellular mechanisms of IFE maintenance, in particular, whether a hierarchy of progenitors exists within this compartment, have remained controversial. We here used multicolour lineage tracing with Brainbow transgenic labels activated in the epidermis to track individual keratinocyte clones. Two modes of clonal progression could be observed in the adult murine dorsal skin. Clones attached to hair follicles showed rapid increase in size during the growth phase of the hair cycle. On the other hand, clones distant from hair follicles were slow cycling, but could be mobilized by a proliferative stimulus. Reinforced by mathematical modelling, these data support a model where progenitor cycling characteristics are differentially regulated in areas surrounding or away from growing hair follicles. Thus, while IFE progenitors follow a non-hierarchical mode of development, spatiotemporal control by their environment can change their potentialities, with far-reaching implications for epidermal homeostasis, wound repair and cancer development.
Collapse
Affiliation(s)
- Edwige Roy
- UQ Centre for Clinical Research, Experimental Dermatology Group, The University of Queensland, Brisbane, Qld, Australia
| | - Zoltan Neufeld
- School of Mathematics and Physics, The University of Queensland, Brisbane, Qld, Australia
| | - Luca Cerone
- School of Mathematics and Physics, The University of Queensland, Brisbane, Qld, Australia
| | - Ho Yi Wong
- UQ Centre for Clinical Research, Experimental Dermatology Group, The University of Queensland, Brisbane, Qld, Australia
| | - Samantha Hodgson
- UQ Centre for Clinical Research, Experimental Dermatology Group, The University of Queensland, Brisbane, Qld, Australia
| | - Jean Livet
- Sorbonne Universités, INSERM, CNRS, Institut de la Vision UPMC Univ Paris 06, Paris, France
| | - Kiarash Khosrotehrani
- UQ Centre for Clinical Research, Experimental Dermatology Group, The University of Queensland, Brisbane, Qld, Australia .,UQ Diamantina Institute, Translational Research Institute, The University of Queensland, Brisbane, Qld, Australia
| |
Collapse
|
17
|
Aghaallaei N, Gruhl F, Schaefer CQ, Wernet T, Weinhardt V, Centanin L, Loosli F, Baumbach T, Wittbrodt J. Identification, visualization and clonal analysis of intestinal stem cells in fish. Development 2016; 143:3470-3480. [PMID: 27578784 PMCID: PMC5087619 DOI: 10.1242/dev.134098] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 08/08/2016] [Indexed: 01/09/2023]
Abstract
Recently, a stochastic model of symmetrical stem cell division followed by neutral drift has been proposed for intestinal stem cells (ISCs), which has been suggested to represent the predominant mode of stem cell progression in mammals. In contrast, stem cells in the retina of teleost fish show an asymmetric division mode. To address whether the mode of stem cell division follows phylogenetic or ontogenetic routes, we analysed the entire gastrointestinal tract of the teleost medaka (Oryzias latipes). X-ray microcomputed tomography shows a correlation of 3D topography with the functional domains. Analysis of ISCs in proliferation assays and via genetically encoded lineage tracing highlights a stem cell niche in the furrow between the long intestinal folds that is functionally equivalent to mammalian intestinal crypts. Stem cells in this compartment are characterized by the expression of homologs of mammalian ISC markers – sox9, axin2 and lgr5 – emphasizing the evolutionary conservation of the Wnt pathway components in the stem cell niche of the intestine. The stochastic, sparse initial labelling of ISCs ultimately resulted in extended labelled or unlabelled domains originating from single stem cells in the furrow niche, contributing to both homeostasis and growth. Thus, different modes of stem cell division co-evolved within one organism, and in the absence of physical isolation in crypts, ISCs contribute to homeostatic growth. Summary: Adult medaka intestinal stem cells (ISCs) proliferate within a niche functionally equivalent to that in the mammal. Like mammalian ISCs, but unlike medaka retinal stem cells, their mode of division is largely symmetric.
Collapse
Affiliation(s)
- Narges Aghaallaei
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| | - Franziska Gruhl
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| | - Colin Q Schaefer
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| | - Tobias Wernet
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany Laboratory for applications of synchrotron radiation, Karslruhe Institute for Technology (KIT), 76131 Karlsruhe, Germany
| | - Venera Weinhardt
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany Laboratory for applications of synchrotron radiation, Karslruhe Institute for Technology (KIT), 76131 Karlsruhe, Germany
| | - Lázaro Centanin
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| | - Felix Loosli
- Laboratory for applications of synchrotron radiation, Karslruhe Institute for Technology (KIT), 76131 Karlsruhe, Germany
| | - Tilo Baumbach
- Laboratory for applications of synchrotron radiation, Karslruhe Institute for Technology (KIT), 76131 Karlsruhe, Germany
| | - Joachim Wittbrodt
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| |
Collapse
|
18
|
Wu JW, Turcotte R, Alt C, Runnels JM, Tsao H, Lin CP. Defining Clonal Color in Fluorescent Multi-Clonal Tracking. Sci Rep 2016; 6:24303. [PMID: 27073117 PMCID: PMC4829845 DOI: 10.1038/srep24303] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 03/08/2016] [Indexed: 01/01/2023] Open
Abstract
Clonal heterogeneity and selection underpin many biological processes including development and tumor progression. Combinatorial fluorescent protein expression in germline cells has proven its utility for tracking the formation and regeneration of different organ systems. Such cell populations encoded by combinatorial fluorescent proteins are also attractive tools for understanding clonal expansion and clonal competition in cancer. However, the assignment of clonal identity requires an analytical framework in which clonal markings can be parameterized and validated. Here we present a systematic and quantitative method for RGB analysis of fluorescent melanoma cancer clones. We then demonstrate refined clonal trackability of melanoma cells using this scheme.
Collapse
Affiliation(s)
- Juwell W. Wu
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Raphaël Turcotte
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Clemens Alt
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Judith M. Runnels
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Hensin Tsao
- Department of Dermatology, Harvard Medical School, Boston, MA 02114, USA
- Wellman Center for Photomedicine, Harvard Medical School, Boston, MA 02114, USA
- Massachusetts General Hospital Melanoma and Pigmented Lesion Center, Boston, MA 02114, USA
| | - Charles P. Lin
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA
| |
Collapse
|
19
|
Mouse strains to study cold-inducible beige progenitors and beige adipocyte formation and function. Nat Commun 2016; 7:10184. [PMID: 26729601 PMCID: PMC4728429 DOI: 10.1038/ncomms10184] [Citation(s) in RCA: 140] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Accepted: 11/12/2015] [Indexed: 12/29/2022] Open
Abstract
Cold temperatures induce formation of beige adipocytes, which convert glucose and fatty acids to heat, and may increase energy expenditure, reduce adiposity and lower blood glucose. This therapeutic potential is unrealized, hindered by a dearth of genetic tools to fate map, track and manipulate beige progenitors and ‘beiging'. Here we examined 12 Cre/inducible Cre mouse strains that mark adipocyte, muscle and mural lineages, three proposed beige origins. Among these mouse strains, only those that marked perivascular mural cells tracked the cold-induced beige lineage. Two SMA-based strains, SMA-CreERT2 and SMA-rtTA, fate mapped into the majority of cold-induced beige adipocytes and SMA-marked progenitors appeared essential for beiging. Disruption of the potential of the SMA-tracked progenitors to form beige adipocytes was accompanied by an inability to maintain body temperature and by hyperglycaemia. Thus, SMA-engineered mice may be useful to track and manipulate beige progenitors, beige adipocyte formation and function. Beige adipocytes are formed in response to cold and thought to contribute to organismal energy homeostasis. Here, the authors study a range of conditional and inducible RFP-expressing Cre mouse strains and find that SMA-based lines are the most useful for mapping beige adipocyte progenitor cells.
Collapse
|
20
|
Abstract
The cancer stem cell model in solid tumors has evolved significantly from the early paradigm shifting work highlighting parallels between the stem cell hierarchy in hematologic malignancies and solid tumors. Putative stem cells can dedifferentiated, be induced by context, and be the result of accumulated genetic mutations. The simple hypothesis that stem cell therapies will overcome the minority of cells that lead to recurrence has evolved with it. Nevertheless, the body of evidence that this field is clinically relevant in patients and patient care has grown with the complexity of the hypotheses, and numerous clinical strategies to target these cells have been identified. Herein we review this progress and highlight the work still outstanding.
Collapse
Affiliation(s)
- Wendy A Woodward
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Richard P Hill
- Princess Margaret Cancer Centre, Ontario Cancer Insitute, Toronto, ON, M5G 2M9, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 2M9, Canada
| |
Collapse
|
21
|
Weissman TA, Pan YA. Brainbow: new resources and emerging biological applications for multicolor genetic labeling and analysis. Genetics 2015; 199:293-306. [PMID: 25657347 PMCID: PMC4317644 DOI: 10.1534/genetics.114.172510] [Citation(s) in RCA: 100] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Accepted: 12/17/2014] [Indexed: 12/21/2022] Open
Abstract
Brainbow is a genetic cell-labeling technique where hundreds of different hues can be generated by stochastic and combinatorial expression of a few spectrally distinct fluorescent proteins. Unique color profiles can be used as cellular identification tags for multiple applications such as tracing axons through the nervous system, following individual cells during development, or analyzing cell lineage. In recent years, Brainbow and other combinatorial expression strategies have expanded from the mouse nervous system to other model organisms and a wide variety of tissues. Particularly exciting is the application of Brainbow in lineage tracing, where this technique has been instrumental in parsing out complex cellular relationships during organogenesis. Here we review recent findings, new technical improvements, and exciting potential genetic and genomic applications for harnessing this colorful technique in anatomical, developmental, and genetic studies.
Collapse
Affiliation(s)
- Tamily A Weissman
- Department of Biology, Lewis and Clark College, Portland, Oregon 97219
| | - Y Albert Pan
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Georgia Regents University, Augusta, Georgia 30912 Department of Neurology, Medical College of Georgia, Georgia Regents University, Augusta, Georgia 30912 James and Jean Culver Vision Discovery Institute, Medical College of Georgia, Georgia Regents University, Augusta, Georgia 30912
| |
Collapse
|