1
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Porter CM, Qian GC, Grindel SH, Hughes AJ. Highly parallel production of designer organoids by mosaic patterning of progenitors. Cell Syst 2024; 15:649-661.e9. [PMID: 38981488 PMCID: PMC11257788 DOI: 10.1016/j.cels.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 04/09/2024] [Accepted: 06/17/2024] [Indexed: 07/11/2024]
Abstract
Organoids derived from human stem cells are a promising approach for disease modeling, regenerative medicine, and fundamental research. However, organoid variability and limited control over morphological outcomes remain as challenges. One open question is the extent to which engineering control over culture conditions can guide organoids to specific compositions. Here, we extend a DNA "velcro" cell patterning approach, precisely controlling the number and ratio of human induced pluripotent stem cell-derived progenitors contributing to nephron progenitor (NP) organoids and mosaic NP/ureteric bud (UB) tip cell organoids within arrays of microwells. We demonstrate long-term control over organoid size and morphology, decoupled from geometric constraints. We then show emergent trends in organoid tissue proportions that depend on initial progenitor cell composition. These include higher nephron and stromal cell representation in mosaic NP/UB organoids vs. NP-only organoids and a "goldilocks" initial cell ratio in mosaic organoids that optimizes the formation of proximal tubule structures.
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Affiliation(s)
- Catherine M Porter
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Soft and Living Matter, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Precision Engineering for Health (CPE4H), University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Grace C Qian
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Samuel H Grindel
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Soft and Living Matter, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Precision Engineering for Health (CPE4H), University of Pennsylvania, Philadelphia, PA 19104, USA; Materials Research Science and Engineering Center (MRSEC), University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alex J Hughes
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Soft and Living Matter, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Precision Engineering for Health (CPE4H), University of Pennsylvania, Philadelphia, PA 19104, USA; Materials Research Science and Engineering Center (MRSEC), University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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2
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Tang X, Zhang Y, Zhang H, Zhang N, Dai Z, Cheng Q, Li Y. Single-Cell Sequencing: High-Resolution Analysis of Cellular Heterogeneity in Autoimmune Diseases. Clin Rev Allergy Immunol 2024; 66:376-400. [PMID: 39186216 DOI: 10.1007/s12016-024-09001-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2024] [Indexed: 08/27/2024]
Abstract
Autoimmune diseases (AIDs) are complex in etiology and diverse in classification but clinically show similar symptoms such as joint pain and skin problems. As a result, the diagnosis is challenging, and usually, only broad treatments can be available. Consequently, the clinical responses in patients with different types of AIDs are unsatisfactory. Therefore, it is necessary to conduct more research to figure out the pathogenesis and therapeutic targets of AIDs. This requires research technologies with strong extraction and prediction capabilities. Single-cell sequencing technology analyses the genomic, epigenomic, or transcriptomic information at the single-cell level. It can define different cell types and states in greater detail, further revealing the molecular mechanisms that drive disease progression. These advantages enable cell biology research to achieve an unprecedented resolution and scale, bringing a whole new vision to life science research. In recent years, single-cell technology especially single-cell RNA sequencing (scRNA-seq) has been widely used in various disease research. In this paper, we present the innovations and applications of single-cell sequencing in the medical field and focus on the application contributing to the differential diagnosis and precise treatment of AIDs. Despite some limitations, single-cell sequencing has a wide range of applications in AIDs. We finally present a prospect for the development of single-cell sequencing. These ideas may provide some inspiration for subsequent research.
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Affiliation(s)
- Xuening Tang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yudi Zhang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Yongzhen Li
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
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3
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Tabibzadeh N, Satlin LM, Jain S, Morizane R. Navigating the kidney organoid: insights into assessment and enhancement of nephron function. Am J Physiol Renal Physiol 2023; 325:F695-F706. [PMID: 37767571 PMCID: PMC10878724 DOI: 10.1152/ajprenal.00166.2023] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
Kidney organoids are three-dimensional structures generated from pluripotent stem cells (PSCs) that are capable of recapitulating the major structures of mammalian kidneys. As this technology is expected to be a promising tool for studying renal biology, drug discovery, and regenerative medicine, the functional capacity of kidney organoids has emerged as a critical question in the field. Kidney organoids produced using several protocols harbor key structures of native kidneys. Here, we review the current state, recent advances, and future challenges in the functional characterization of kidney organoids, strategies to accelerate and enhance kidney organoid functions, and access to PSC resources to advance organoid research. The strategies to construct physiologically relevant kidney organoids include the use of organ-on-a-chip technologies that integrate fluid circulation and improve organoid maturation. These approaches result in increased expression of the major tubular transporters and elements of mechanosensory signaling pathways suggestive of improved functionality. Nevertheless, continuous efforts remain crucial to create kidney tissue that more faithfully replicates physiological conditions for future applications in kidney regeneration medicine and their ethical use in patient care.NEW & NOTEWORTHY Kidney organoids are three-dimensional structures derived from stem cells, mimicking the major components of mammalian kidneys. Although they show great promise, their functional capacity has become a critical question. This review explores the advancements and challenges in evaluating and enhancing kidney organoid function, including the use of organ-on-chip technologies, multiomics data, and in vivo transplantation. Integrating these approaches to further enhance their physiological relevance will continue to advance disease modeling and regenerative medicine applications.
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Affiliation(s)
- Nahid Tabibzadeh
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts, United States
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States
| | - Lisa M Satlin
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
- Department of Pathology, Washington University School of Medicine, St. Louis, Missouri, United States
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Ryuji Morizane
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts, United States
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States
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4
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Kroll KT, Mata MM, Homan KA, Micallef V, Carpy A, Hiratsuka K, Morizane R, Moisan A, Gubler M, Walz AC, Marrer-Berger E, Lewis JA. Immune-infiltrated kidney organoid-on-chip model for assessing T cell bispecific antibodies. Proc Natl Acad Sci U S A 2023; 120:e2305322120. [PMID: 37603766 PMCID: PMC10467620 DOI: 10.1073/pnas.2305322120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/10/2023] [Indexed: 08/23/2023] Open
Abstract
T cell bispecific antibodies (TCBs) are the focus of intense development for cancer immunotherapy. Recently, peptide-MHC (major histocompatibility complex)-targeted TCBs have emerged as a new class of biotherapeutics with improved specificity. These TCBs simultaneously bind to target peptides presented by the polymorphic, species-specific MHC encoded by the human leukocyte antigen (HLA) allele present on target cells and to the CD3 coreceptor expressed by human T lymphocytes. Unfortunately, traditional models for assessing their effects on human tissues often lack predictive capability, particularly for "on-target, off-tumor" interactions. Here, we report an immune-infiltrated, kidney organoid-on-chip model in which peripheral blood mononuclear cells (PBMCs) along with nontargeting (control) or targeting TCB-based tool compounds are circulated under flow. The target consists of the RMF peptide derived from the intracellular tumor antigen Wilms' tumor 1 (WT1) presented on HLA-A2 via a bivalent T cell receptor-like binding domain. Using our model, we measured TCB-mediated CD8+ T cell activation and killing of RMF-HLA-A2-presenting cells in the presence of PBMCs and multiple tool compounds. DP47, a non-pMHC-targeting TCB that only binds to CD3 (negative control), does not promote T cell activation and killing. Conversely, the nonspecific ESK1-like TCB (positive control) promotes CD8+ T cell expansion accompanied by dose-dependent T cell-mediated killing of multiple cell types, while WT1-TCB* recognizing the RMF-HLA-A2 complex with high specificity, leads solely to selective killing of WT1-expressing cells within kidney organoids under flow. Our 3D kidney organoid model offers a platform for preclinical testing of cancer immunotherapies and investigating tissue-immune system interactions.
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Affiliation(s)
- Katharina T. Kroll
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA02138
- Wyss Institute for Biologically Inspired Engineering, Boston, MA02115
| | - Mariana M. Mata
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA02138
- Wyss Institute for Biologically Inspired Engineering, Boston, MA02115
| | - Kimberly A. Homan
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA02138
- Wyss Institute for Biologically Inspired Engineering, Boston, MA02115
- Complex in vitro Systems, Safety Assessment, Genentech Inc., South San Francisco, CA94080
| | - Virginie Micallef
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, BaselCH-4070, Switzerland
| | - Alejandro Carpy
- Roche Pharma Research and Early Development, Roche Innovation Center Munich, MunichDE-82377, Germany
| | - Ken Hiratsuka
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Harvard Stem Cell Institute, Cambridge, MA02138
| | - Ryuji Morizane
- Department of Medicine, Harvard Medical School, Boston, MA02115
- Harvard Stem Cell Institute, Cambridge, MA02138
| | - Annie Moisan
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, BaselCH-4070, Switzerland
| | - Marcel Gubler
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, BaselCH-4070, Switzerland
| | - Antje-Christine Walz
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, BaselCH-4070, Switzerland
| | - Estelle Marrer-Berger
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, BaselCH-4070, Switzerland
| | - Jennifer A. Lewis
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA02138
- Wyss Institute for Biologically Inspired Engineering, Boston, MA02115
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5
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Uchimura K. Single-cell RNA sequencing and kidney organoid differentiation. Clin Exp Nephrol 2023:10.1007/s10157-023-02359-5. [PMID: 37209321 DOI: 10.1007/s10157-023-02359-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/08/2023] [Indexed: 05/22/2023]
Abstract
Since 2015, Japanese researchers have made great progress in developing a method to differentiate human pluripotent stem cells (hPSCs) into kidney organoids. Protocols have been established to produce increasingly complex three-dimensional (3D) structures, which are used as a human kidney disease model and adapted for high-throughput screening. During this period, single-cell RNA sequencing (scRNA-seq) technology was developed to perform a comprehensive analysis at the single-cell level. We have performed a comprehensive analysis using scRNA-seq to define how kidney organoids can be applied to understand kidney development and pathology. The structure of kidney organoids is complex and contains many cell types of varying maturity. Since only a few proteins and mRNAs can be identified by immunostaining and other techniques, we performed scRNA-seq, which is an unbiased technology that can comprehensively categorize all cell types present in organoids. The aim of this study is to review the problems of kidney organoids based on scRNA-seq and the efforts to address the problems and predict future applications with this powerful technique.
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Affiliation(s)
- Kohei Uchimura
- Division of Nephrology, University of Yamanashi, 1110 Shimokato, Chuo, 409-3898, Japan.
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6
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The "3Ds" of Growing Kidney Organoids: Advances in Nephron Development, Disease Modeling, and Drug Screening. Cells 2023; 12:cells12040549. [PMID: 36831216 PMCID: PMC9954122 DOI: 10.3390/cells12040549] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
A kidney organoid is a three-dimensional (3D) cellular aggregate grown from stem cells in vitro that undergoes self-organization, recapitulating aspects of normal renal development to produce nephron structures that resemble the native kidney organ. These miniature kidney-like structures can also be derived from primary patient cells and thus provide simplified context to observe how mutations in kidney-disease-associated genes affect organogenesis and physiological function. In the past several years, advances in kidney organoid technologies have achieved the formation of renal organoids with enhanced numbers of specialized cell types, less heterogeneity, and more architectural complexity. Microfluidic bioreactor culture devices, single-cell transcriptomics, and bioinformatic analyses have accelerated the development of more sophisticated renal organoids and tailored them to become increasingly amenable to high-throughput experimentation. However, many significant challenges remain in realizing the use of kidney organoids for renal replacement therapies. This review presents an overview of the renal organoid field and selected highlights of recent cutting-edge kidney organoid research with a focus on embryonic development, modeling renal disease, and personalized drug screening.
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7
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Wang G, Heijs B, Kostidis S, Rietjens RG, Koning M, Yuan L, Tiemeier GL, Mahfouz A, Dumas SJ, Giera M, Kers J, Chuva de Sousa Lopes SM, van den Berg CW, van den Berg BM, Rabelink TJ. Spatial dynamic metabolomics identifies metabolic cell fate trajectories in human kidney differentiation. Cell Stem Cell 2022; 29:1580-1593.e7. [DOI: 10.1016/j.stem.2022.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
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8
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Costello HM, Johnston JG, Juffre A, Crislip GR, Gumz ML. Circadian clocks of the kidney: function, mechanism, and regulation. Physiol Rev 2022; 102:1669-1701. [PMID: 35575250 PMCID: PMC9273266 DOI: 10.1152/physrev.00045.2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 05/03/2022] [Accepted: 05/07/2022] [Indexed: 11/22/2022] Open
Abstract
An intrinsic cellular circadian clock is located in nearly every cell of the body. The peripheral circadian clocks within the cells of the kidney contribute to the regulation of a variety of renal processes. In this review, we summarize what is currently known regarding the function, mechanism, and regulation of kidney clocks. Additionally, the effect of extrarenal physiological processes, such as endocrine and neuronal signals, on kidney function is also reviewed. Circadian rhythms in renal function are an integral part of kidney physiology, underscoring the importance of considering time of day as a key biological variable. The field of circadian renal physiology is of tremendous relevance, but with limited physiological and mechanistic information on the kidney clocks this is an area in need of extensive investigation.
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Affiliation(s)
- Hannah M Costello
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, Florida
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, Florida
| | - Jermaine G Johnston
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, Florida
- North Florida/South Georgia Malcom Randall Department of Veterans Affairs Medical Center, Gainesville, Florida
| | - Alexandria Juffre
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, Florida
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, Florida
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida
| | - G Ryan Crislip
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, Florida
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, Florida
| | - Michelle L Gumz
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, Florida
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, Florida
- North Florida/South Georgia Malcom Randall Department of Veterans Affairs Medical Center, Gainesville, Florida
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida
- Center for Integrative Cardiovascular and Metabolic Diseases, University of Florida, Gainesville, Florida
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9
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Valverde MG, Mille LS, Figler KP, Cervantes E, Li VY, Bonventre JV, Masereeuw R, Zhang YS. Biomimetic models of the glomerulus. Nat Rev Nephrol 2022; 18:241-257. [PMID: 35064233 PMCID: PMC9949601 DOI: 10.1038/s41581-021-00528-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2021] [Indexed: 12/17/2022]
Abstract
The use of biomimetic models of the glomerulus has the potential to improve our understanding of the pathogenesis of kidney diseases and to enable progress in therapeutics. Current in vitro models comprise organ-on-a-chip, scaffold-based and organoid approaches. Glomerulus-on-a-chip designs mimic components of glomerular microfluidic flow but lack the inherent complexity of the glomerular filtration barrier. Scaffold-based 3D culture systems and organoids provide greater microenvironmental complexity but do not replicate fluid flows and dynamic responses to fluidic stimuli. As the available models do not accurately model the structure or filtration function of the glomerulus, their applications are limited. An optimal approach to glomerular modelling is yet to be developed, but the field will probably benefit from advances in biofabrication techniques. In particular, 3D bioprinting technologies could enable the fabrication of constructs that recapitulate the complex structure of the glomerulus and the glomerular filtration barrier. The next generation of in vitro glomerular models must be suitable for high(er)-content or/and high(er)-throughput screening to enable continuous and systematic monitoring. Moreover, coupling of glomerular or kidney models with those of other organs is a promising approach to enable modelling of partial or full-body responses to drugs and prediction of therapeutic outcomes.
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Affiliation(s)
- Marta G Valverde
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Luis S Mille
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Kianti P Figler
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Ernesto Cervantes
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Vanessa Y Li
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Joseph V Bonventre
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Rosalinde Masereeuw
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.
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10
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Abstract
The field of single-cell genomics and spatial technologies is rapidly evolving and has already provided unprecedented insights into complex tissues. Major advances have been made in dissecting the cellular composition and spatiotemporal interactions that mediate developmental processes in the fetal kidney. Single-cell technologies have also provided detailed insights into the heterogeneity of cell types within the healthy adult and shed light on the complex cellular mechanisms that contribute to kidney disease. The in-depth characterization of specific cell types associated with acute kidney injury and glomerular diseases has potential for the development of prognostic biomarkers and new therapeutics. Analyses of pathway activity in clear-cell renal cell carcinoma can predict the sensitivity of tumour cells to specific inhibitors. The identification of the cell of origin of renal cell carcinoma and of new cell types within the tumour microenvironment also has implications for the development of targeted therapeutics. Similarly, single-cell sequencing has provided new insights into the mechanisms underlying kidney fibrosis, specifically our understanding of myofibroblast origins and the contribution of cell crosstalk within the fibrotic niche to disease progression. These and future studies will enable the creation of a map to aid our understanding of the cellular processes and interactions in the developing, healthy and diseased kidney.
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11
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Yanofsky SM, Dugas CM, Katsurada A, Liu J, Saifudeen Z, El-Dahr SS, Satou R. Angiotensin II biphasically regulates cell differentiation in human iPSC-derived kidney organoids. Am J Physiol Renal Physiol 2021; 321:F559-F571. [PMID: 34448643 PMCID: PMC8616599 DOI: 10.1152/ajprenal.00134.2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/09/2021] [Accepted: 08/25/2021] [Indexed: 12/28/2022] Open
Abstract
Human kidney organoid technology holds promise for novel kidney disease treatment strategies and utility in pharmacological and basic science. Given the crucial roles of the intrarenal renin-angiotensin system (RAS) and angiotensin II (ANG II) in the progression of kidney development and injury, we investigated the expression of RAS components and effects of ANG II on cell differentiation in human kidney organoids. Human induced pluripotent stem cell-derived kidney organoids were induced using a modified 18-day Takasato protocol. Gene expression analysis by digital PCR and immunostaining demonstrated the formation of renal compartments and expression of RAS components. The ANG II type 1 receptor (AT1R) was strongly expressed in the early phase of organoid development (around day 0), whereas ANG II type 2 receptor (AT2R) expression levels peaked on day 5. Thus, the organoids were treated with 100 nM ANG II in the early phase on days 0-5 (ANG II-E) or during the middle phase on days 5-10 (ANG II-M). ANG II-E was observed to decrease levels of marker genes for renal tubules and proximal tubules, and the downregulation of renal tubules was inhibited by an AT1R antagonist. In contrast, ANG II-M increased levels of markers for podocytes, the ureteric tip, and the nephrogenic mesenchyme, and an AT2R blocker attenuated the ANG II-M-induced augmentation of podocyte formation. These findings demonstrate RAS expression and ANG II exertion of biphasic effects on cell differentiation through distinct mediatory roles of AT1R and AT2R, providing a novel strategy to establish and further characterize the developmental potential of human induced pluripotent stem cell-derived kidney organoids.NEW & NOTEWORTHY This study demonstrates angiotensin II exertion of biphasic effects on cell differentiation through distinct mediatory roles of angiotensin II type 1 receptor and type 2 receptor in human induced pluripotent stem cell-derived kidney organoids, providing a novel strategy to establish and further characterize the developmental potential of the human kidney organoids.
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MESH Headings
- Angiotensin II/pharmacology
- Cell Differentiation/drug effects
- Cell Line
- Gene Expression Regulation, Developmental
- Humans
- Induced Pluripotent Stem Cells/drug effects
- Induced Pluripotent Stem Cells/metabolism
- Kidney/cytology
- Kidney/drug effects
- Kidney/metabolism
- Organoids/cytology
- Organoids/drug effects
- Organoids/metabolism
- Receptor, Angiotensin, Type 1/agonists
- Receptor, Angiotensin, Type 1/genetics
- Receptor, Angiotensin, Type 1/metabolism
- Receptor, Angiotensin, Type 2/agonists
- Receptor, Angiotensin, Type 2/genetics
- Receptor, Angiotensin, Type 2/metabolism
- Renin-Angiotensin System/drug effects
- Signal Transduction
- Time Factors
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Affiliation(s)
- Stacy M Yanofsky
- Department of Physiology and Hypertension and Renal Center of Excellence, Tulane University School of Medicine, New Orleans, Louisiana
| | - Courtney M Dugas
- Department of Physiology and Hypertension and Renal Center of Excellence, Tulane University School of Medicine, New Orleans, Louisiana
| | - Akemi Katsurada
- Department of Physiology and Hypertension and Renal Center of Excellence, Tulane University School of Medicine, New Orleans, Louisiana
| | - Jiao Liu
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, Louisiana
| | - Zubaida Saifudeen
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, Louisiana
| | - Samir S El-Dahr
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, Louisiana
| | - Ryousuke Satou
- Department of Physiology and Hypertension and Renal Center of Excellence, Tulane University School of Medicine, New Orleans, Louisiana
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12
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Du Z, Shankar AS, van den Bosch TPP, Korevaar SS, Clahsen-van Groningen M, Hoorn EJ, Gribnau J, Reinders MEJ, Baan CC, Hoogduijn MJ. Identification of Predictive Markers for the Generation of Well-Differentiated Human Induced Pluripotent Stem Cell-Derived Kidney Organoids. Stem Cells Dev 2021; 30:1103-1114. [PMID: 34549597 DOI: 10.1089/scd.2021.0197] [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: 11/12/2022] Open
Abstract
Human-induced pluripotent stem cell (iPSC)-derived kidney organoids have the potential to advance studies to kidney development and disease. However, reproducible generation of kidney organoids is a challenge. A large variability in the percentage of nephron structures and the expression of kidney-specific genes was observed among organoids, showing no association with iPSC lines. To associate the quality of kidney organoid differentiation with predictive markers, a ranking system was developed based on the ratio of nephron structure determined by histological examination. Well-differentiated organoids were defined as organoids with >30% nephron structure and vice versa. Subsequently, correlations were made with expression profiles of iPSC markers, early kidney development markers, and fibrosis markers. Higher expression of sex-determining region Y-box 2 (SOX2) during differentiation was associated with poorly differentiated kidney organoid. Furthermore, early secretion of basic fibroblast growth factor (FGF2) predicted poorly differentiated kidney organoid. Of interest, whereas cadherin-1 (CDH1) expression in kidney organoids indicates distal tubules formation, onefold higher CDH1 expression in iPSC predicted poor differentiation. High expression of the stromal progenitor marker Forkhead Box D1 (FOXD1) and significantly increased TGFβ levels were found in well-differentiated kidney organoids. These early expression profiles could predict the outcome of kidney organoid formation. This study helps to improve the robustness of kidney organoid protocols.
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Affiliation(s)
- Zhaoyu Du
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Anusha S Shankar
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | - Sander S Korevaar
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | - Ewout J Hoorn
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Joost Gribnau
- Department of Developmental Biology and iPS Core Facility, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marlies E J Reinders
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Carla C Baan
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Martin J Hoogduijn
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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13
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Schumacher A, Rookmaaker MB, Joles JA, Kramann R, Nguyen TQ, van Griensven M, LaPointe VLS. Defining the variety of cell types in developing and adult human kidneys by single-cell RNA sequencing. NPJ Regen Med 2021; 6:45. [PMID: 34381054 PMCID: PMC8357940 DOI: 10.1038/s41536-021-00156-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/22/2021] [Indexed: 01/14/2023] Open
Abstract
The kidney is among the most complex organs in terms of the variety of cell types. The cellular complexity of human kidneys is not fully unraveled and this challenge is further complicated by the existence of multiple progenitor pools and differentiation pathways. Researchers disagree on the variety of renal cell types due to a lack of research providing a comprehensive picture and the challenge to translate findings between species. To find an answer to the number of human renal cell types, we discuss research that used single-cell RNA sequencing on developing and adult human kidney tissue and compares these findings to the literature of the pre-single-cell RNA sequencing era. We find that these publications show major steps towards the discovery of novel cell types and intermediate cell stages as well as complex molecular signatures and lineage pathways throughout development. The variety of cell types remains variable in the single-cell literature, which is due to the limitations of the technique. Nevertheless, our analysis approaches an accumulated number of 41 identified cell populations of renal lineage and 32 of non-renal lineage in the adult kidney, and there is certainly much more to discover. There is still a need for a consensus on a variety of definitions and standards in single-cell RNA sequencing research, such as the definition of what is a cell type. Nevertheless, this early-stage research already proves to be of significant impact for both clinical and regenerative medicine, and shows potential to enhance the generation of sophisticated in vitro kidney tissue.
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Affiliation(s)
- A Schumacher
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands
| | - M B Rookmaaker
- Department of Nephrology, University Medical Center, Utrecht, The Netherlands
| | - J A Joles
- Department of Nephrology, University Medical Center, Utrecht, The Netherlands
| | - R Kramann
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen, Aachen, Germany
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, Rotterdam, The Netherlands
| | - T Q Nguyen
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - M van Griensven
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands
| | - V L S LaPointe
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands.
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14
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Deleersnijder D, Van Craenenbroeck AH, Sprangers B. Deconvolution of Focal Segmental Glomerulosclerosis Pathophysiology Using Transcriptomics Techniques. GLOMERULAR DISEASES 2021; 1:265-276. [PMID: 36751384 PMCID: PMC9677714 DOI: 10.1159/000518404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/08/2021] [Indexed: 11/19/2022]
Abstract
Background Focal segmental glomerulosclerosis is a histopathological pattern of renal injury and comprises a heterogeneous group of clinical conditions with different pathophysiology, clinical course, prognosis, and treatment. Nevertheless, subtype differentiation in clinical practice often remains challenging, and we currently lack reliable diagnostic, prognostic, and therapeutic biomarkers. The advent of new transcriptomics techniques in kidney research poses great potential in the identification of gene expression biomarkers that can be applied in clinical practice. Summary Transcriptomics techniques have been completely revolutionized in the last 2 decades, with the evolution from low-throughput reverse-transcription polymerase chain reaction and in situ hybridization techniques to microarrays and next-generation sequencing techniques, including RNA-sequencing and single-cell transcriptomics. The integration of human gene expression profiles with functional in vitro and in vivo experiments provides a deeper mechanistic insight into the candidate genes, which enable the development of novel-targeted therapies. The correlation of gene expression profiles with clinical outcomes of large patient cohorts allows for the development of clinically applicable biomarkers that can aid in diagnosis and predict prognosis and therapy response. Finally, the integration of transcriptomics with other "omics" modalities creates a holistic view on disease pathophysiology. Key Messages New transcriptomics techniques allow high-throughput gene expression profiling of patients with focal segmental glomerulosclerosis (FSGS). The integration with clinical outcomes and fundamental mechanistic studies enables the discovery of new clinically useful biomarkers that will finally improve the clinical outcome of patients with FSGS.
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Affiliation(s)
- Dries Deleersnijder
- Department of Microbiology, Immunology and Transplantation, Laboratory of Molecular Immunology, Rega Institute, KU Leuven, Leuven, Belgium,Division of Nephrology, University Hospitals Leuven, Leuven, Belgium
| | - Amaryllis H. Van Craenenbroeck
- Division of Nephrology, University Hospitals Leuven, Leuven, Belgium,Department of Microbiology, Immunology and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Ben Sprangers
- Department of Microbiology, Immunology and Transplantation, Laboratory of Molecular Immunology, Rega Institute, KU Leuven, Leuven, Belgium,Division of Nephrology, University Hospitals Leuven, Leuven, Belgium,*Ben Sprangers,
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15
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Muto Y, Wilson PC, Ledru N, Wu H, Dimke H, Waikar SS, Humphreys BD. Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney. Nat Commun 2021; 12:2190. [PMID: 33850129 PMCID: PMC8044133 DOI: 10.1038/s41467-021-22368-w] [Citation(s) in RCA: 229] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 03/11/2021] [Indexed: 12/15/2022] Open
Abstract
The integration of single cell transcriptome and chromatin accessibility datasets enables a deeper understanding of cell heterogeneity. We performed single nucleus ATAC (snATAC-seq) and RNA (snRNA-seq) sequencing to generate paired, cell-type-specific chromatin accessibility and transcriptional profiles of the adult human kidney. We demonstrate that snATAC-seq is comparable to snRNA-seq in the assignment of cell identity and can further refine our understanding of functional heterogeneity in the nephron. The majority of differentially accessible chromatin regions are localized to promoters and a significant proportion are closely associated with differentially expressed genes. Cell-type-specific enrichment of transcription factor binding motifs implicates the activation of NF-κB that promotes VCAM1 expression and drives transition between a subpopulation of proximal tubule epithelial cells. Our multi-omics approach improves the ability to detect unique cell states within the kidney and redefines cellular heterogeneity in the proximal tubule and thick ascending limb.
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Affiliation(s)
- Yoshiharu Muto
- Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Parker C Wilson
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicolas Ledru
- Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Haojia Wu
- Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Henrik Dimke
- Department of Cardiovascular and Renal Research, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
- Department of Nephrology, Odense University Hospital, Odense, Denmark
| | - Sushrut S Waikar
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Benjamin D Humphreys
- Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
- Department of Developmental Biology, Washington University in St. Louis, St. Louis, MO, USA.
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16
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Fritsche E, Haarmann-Stemmann T, Kapr J, Galanjuk S, Hartmann J, Mertens PR, Kämpfer AAM, Schins RPF, Tigges J, Koch K. Stem Cells for Next Level Toxicity Testing in the 21st Century. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2006252. [PMID: 33354870 DOI: 10.1002/smll.202006252] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/13/2020] [Indexed: 06/12/2023]
Abstract
The call for a paradigm change in toxicology from the United States National Research Council in 2007 initiates awareness for the invention and use of human-relevant alternative methods for toxicological hazard assessment. Simple 2D in vitro systems may serve as first screening tools, however, recent developments infer the need for more complex, multicellular organotypic models, which are superior in mimicking the complexity of human organs. In this review article most critical organs for toxicity assessment, i.e., skin, brain, thyroid system, lung, heart, liver, kidney, and intestine are discussed with regards to their functions in health and disease. Embracing the manifold modes-of-action how xenobiotic compounds can interfere with physiological organ functions and cause toxicity, the need for translation of such multifaceted organ features into the dish seems obvious. Currently used in vitro methods for toxicological applications and ongoing developments not yet arrived in toxicity testing are discussed, especially highlighting the potential of models based on embryonic stem cells and induced pluripotent stem cells of human origin. Finally, the application of innovative technologies like organs-on-a-chip and genome editing point toward a toxicological paradigm change moves into action.
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Affiliation(s)
- Ellen Fritsche
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
- Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, 40225, Germany
| | | | - Julia Kapr
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Saskia Galanjuk
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Julia Hartmann
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Peter R Mertens
- Department of Nephrology and Hypertension, Diabetes and Endocrinology, Otto-von-Guericke-University Magdeburg, Magdeburg, 39106, Germany
| | - Angela A M Kämpfer
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Roel P F Schins
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Julia Tigges
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
| | - Katharina Koch
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany
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17
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Human reconstructed kidney models. In Vitro Cell Dev Biol Anim 2021; 57:133-147. [PMID: 33594607 DOI: 10.1007/s11626-021-00548-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 01/12/2021] [Indexed: 02/07/2023]
Abstract
The human kidney, which consists of up to 2 million nephrons, is critical for blood filtration, electrolyte balance, pH regulation, and fluid balance in the body. Animal experiments, particularly mice and rats, combined with advances in genetically modified technology have been the primary mechanism to study kidney injury in recent years. Mouse or rat kidneys, however, differ substantially from human kidneys at the anatomical, histological, and molecular levels. These differences combined with increased regulatory hurdles and shifting attitudes towards animal testing by non-specialists have led scientists to develop new and more relevant models of kidney injury. Although in vitro tissue culture studies are a valuable tool to study kidney injury and have yielded a great deal of insight, they are not a perfect model. Perhaps, the biggest limitation of tissue culture is that it cannot replicate the complex architecture, consisting of multiple cell types, of the kidney, and the interplay between these cells. Recent studies have found that pluripotent stem cells (PSCs), which are capable of differentiation into any cell type, can be used to generate kidney organoids. Organoids recapitulate the multicellular relationships and microenvironments of complex organs like kidney. Kidney organoids have been used to successfully model nephrotoxin-induced tubular and glomerular disease as well as complex diseases such as chronic kidney disease (CKD), which involves multiple cell types. In combination with genetic engineering techniques, such as CRISPR-Cas9, genetic diseases of the kidney can be reproduced in organoids. Thus, organoid models have the potential to predict drug toxicity and enhance drug discovery for human disease more accurately than animal models.
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18
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Hinze C, Karaiskos N, Boltengagen A, Walentin K, Redo K, Himmerkus N, Bleich M, Potter SS, Potter AS, Eckardt KU, Kocks C, Rajewsky N, Schmidt-Ott KM. Kidney Single-cell Transcriptomes Predict Spatial Corticomedullary Gene Expression and Tissue Osmolality Gradients. J Am Soc Nephrol 2021; 32:291-306. [PMID: 33239393 PMCID: PMC8054904 DOI: 10.1681/asn.2020070930] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 10/15/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Single-cell transcriptomes from dissociated tissues provide insights into cell types and their gene expression and may harbor additional information on spatial position and the local microenvironment. The kidney's cells are embedded into a gradient of increasing tissue osmolality from the cortex to the medulla, which may alter their transcriptomes and provide cues for spatial reconstruction. METHODS Single-cell or single-nuclei mRNA sequencing of dissociated mouse kidneys and of dissected cortex, outer, and inner medulla, to represent the corticomedullary axis, was performed. Computational approaches predicted the spatial ordering of cells along the corticomedullary axis and quantitated expression levels of osmo-responsive genes. In situ hybridization validated computational predictions of spatial gene-expression patterns. The strategy was used to compare single-cell transcriptomes from wild-type mice to those of mice with a collecting duct-specific knockout of the transcription factor grainyhead-like 2 (Grhl2CD-/-), which display reduced renal medullary osmolality. RESULTS Single-cell transcriptomics from dissociated kidneys provided sufficient information to approximately reconstruct the spatial position of kidney tubule cells and to predict corticomedullary gene expression. Spatial gene expression in the kidney changes gradually and osmo-responsive genes follow the physiologic corticomedullary gradient of tissue osmolality. Single-nuclei transcriptomes from Grhl2CD-/- mice indicated a flattened expression gradient of osmo-responsive genes compared with control mice, consistent with their physiologic phenotype. CONCLUSIONS Single-cell transcriptomics from dissociated kidneys facilitated the prediction of spatial gene expression along the corticomedullary axis and quantitation of osmotically regulated genes, allowing the prediction of a physiologic phenotype.
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Affiliation(s)
- Christian Hinze
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin, Berlin, Germany,Molecular and Translational Kidney Research, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany,Berlin Institute of Health, Berlin, Germany
| | - Nikos Karaiskos
- Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Anastasiya Boltengagen
- Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Katharina Walentin
- Molecular and Translational Kidney Research, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Klea Redo
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin, Berlin, Germany,Molecular and Translational Kidney Research, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Nina Himmerkus
- Department of Physiology, Physiology of Membrane Transport, Christian-Albrechts-Universität, Kiel, Germany
| | - Markus Bleich
- Department of Physiology, Physiology of Membrane Transport, Christian-Albrechts-Universität, Kiel, Germany
| | - S. Steven Potter
- Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Andrew S. Potter
- Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin, Berlin, Germany
| | - Christine Kocks
- Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Nikolaus Rajewsky
- Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Kai M. Schmidt-Ott
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin, Berlin, Germany,Molecular and Translational Kidney Research, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany,Berlin Institute of Health, Berlin, Germany
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19
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Modeling cancer progression using human pluripotent stem cell-derived cells and organoids. Stem Cell Res 2020; 49:102063. [PMID: 33137568 PMCID: PMC7849931 DOI: 10.1016/j.scr.2020.102063] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/15/2020] [Accepted: 10/20/2020] [Indexed: 01/04/2023] Open
Abstract
Conventional cancer cell lines and animal models have been mainstays of cancer research. More recently, human pluripotent stem cells (hPSCs) and hPSC-derived organoid technologies, together with genome engineering approaches, have provided a complementary platform to model cancer progression. Here, we review the application of these technologies in cancer modeling with respect to the cell-of-origin, cancer propagation, and metastasis. We further discuss the benefits and challenges accompanying the use of hPSC models for cancer research and discuss their broad applicability in drug discovery, biomarker identification, decoding molecular mechanisms, and the deconstruction of clonal and intra-tumoral heterogeneity. In summary, hPSC-derived organoids provide powerful models to recapitulate the pathogenic states in cancer and to perform drug discovery.
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