Novel Concepts in iPSC Disease Modeling
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The series Advances in Stem Cell Biology is a timely and expansive collection of comprehensive information and new discoveries in the field of stem cell biology.
iPSCs - Novel Concepts, Volume 15 addresses how important induced pluripotent stems cells are and how can they can help treat certain diseases.
Somatic cells can be reprogrammed into induced pluripotent stem cells by the expression of specific transcription factors. These cells have been transforming biomedical research over the last 15 years. This volume will address the advances in research of how induced pluripotent stem cells are being used for treatment of different disorders, such as liver disease, type-1 diabetes, Parkinson’s disease, macular degeneration of the retina and much more.
The volume is written for researchers and scientists in stem cell therapy, cell biology, regenerative medicine and organ transplantation; and is contributed by world-renowned authors in the field.
- Provides overview of the fast-moving field of stem cell biology and function, regenerative medicine and therapeutics
- Covers spinal cord injuries, type-1 diabetes, liver disease, Parkinson’s disease, graft vs. host disease, and much more
- Contributed by world-renown experts in the field
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Novel Concepts in iPSC Disease Modeling - Alexander Birbrair
Novel Concepts in iPSC Disease Modeling
Volume 15
Editor
Alexander Birbrair
Federal University of Minas Gerais, Department of Pathology, Belo Horizonte, Minas Gerais, Brazil
Columbia University Medical Center, Department of Radiology, New York, NY, United States
Table of Contents
Cover image
Title page
Advances in Stem Cell Biology
Copyright
Dedication
List of contributors
About the editor
Preface
Chapter 1. Induced pluripotent stem cells: novel concepts for respiratory disease modeling
List of abbreviations
Introduction
Recapitulating lung development using induced pluripotent stem cells
Modeling lung disease in the conducting airways
Modeling lung disease in the distal airspace
Modeling viral infection of the lung
Concluding remarks
Chapter 2. iPSC for modeling of metabolic and neurodegenerative disorders
Introduction
What are iPSCs?
How are iPSCs obtained?
Current iPSCs models overview
Metabolic disorders
Cardiovascular disorders
Diabetes
Neurodegenerative disorders
Future applications
Limitations
Conclusions
Chapter 3. Induced pluripotent stem cells for modeling open-angle glaucoma
Introduction
Current treatment options for POAG
Induced pluripotent stem cells as cellular models of diseases
iPSC-TM cells as a model of glaucoma
iPSC-RGCs as a model of glaucoma
Patient-derived iPSCs as a model of glaucoma
Drug discovery using iPSCs as a glaucoma model
Conclusion
Chapter 4. Patient-specific induced pluripotent stem cells for understanding and assessing novel therapeutics for multisystem transthyretin amyloid disease
Introduction
ATTR amyloidosis pathogenesis
Current standards of care for patients with ATTR amyloidosis
Limitations of current pre-clinical disease models
Developing IPSC-based models of hereditary ATTR amyloidosis
Hepatic proteostasis remodeling in IPSC-based models of ATTR amyloidosis
The clinical trial in a test tube: revolutionizing the drug discovery pathway for systemic amyloid disease
Future directions
Conclusions
Chapter 5. iPSCs for modeling choroideremia
Eye structure and function
Inherited retinal dystrophies
Choroideremia
Genetics of choroideremia
Pathophysiology of choroideremia
Animal models of choroideremia
Cellular models of choroideremia
Human induced pluripotent stem cells
Human iPSCs for choroideremia
Human iPSC-derived retinal pigment epithelium
Human iPSC-derived RPE for modeling choroideremia
Human iPSC-derived RPE for proof-of-concept studies of gene supplementation for choroideremia
Human iPSC-derived RPE for proof-of-concept studies of translational read-through for choroideremia
Future directions for modeling choroideremia
Chapter 6. Applications of human induced pluripotent stem cell and human embryonic stem cell models for substance use disorders: addiction and neurodevelopmental toxicity
Introduction
The epidemic of drug abuse and addiction
Identification of genetic targets for treatment of substance use disorders
Generation of human induced pluripotent stem cell-derived neuronal cell lines as models for drug addiction
Limitations of human induced pluripotent stem cell models of drug abuse
Use of human embryonic stem cells and human induced pluripotent stem cells as models for neurodevelopmental effects
Conclusions
Chapter 7. Induced pluripotent stem cells for modeling cardiac sodium channelopathies
Introduction
Induced pluripotent stem cell model of sodium channelopathies (Table 7.1)
Summary and future perspectives
Chapter 8. iPSCs for modeling Danon disease
Introduction
The application of iPSC-based modeling of Danon disease
Application of iPSC-cardiomyocytes to evaluate autophagic dysfunction
The application of an iPSC-based model for drug testing
Future perspectives
Chapter 9. Human-induced pluripotent stem cells for modeling of Niemann-Pick disease type C1
Introduction
Traditional models of NPC1 and rationale for human stem cell-derived models
Human-induced pluripotent stem cell-derived models of NPC1
Drug discovery applications
Conclusions and future directions
Chapter 10. iPSC-based modeling in psychiatric disorders: opportunities and challenges
Introduction
The rationale of iPSC-based disease modeling
Major results from iPSC-based modeling of psychiatric disorders
Advances in cell culture systems for iPSC-based modeling of psychiatric disorders
Uncovering causality in iPSC-based modeling of psychiatric disorders
Conclusion and outlook
Author contributions
Funding
Chapter 11. Research applications of induced pluripotent stem cells for treatment and modeling of spinal cord injury
Introduction
Application of iPSCs for SCI cell-based therapies
Application of iPSCs to generate 3D tissue for grafting into SCI
Application of iPSC-derived organoids for spinal cord modeling and research
Conclusion
Chapter 12. Functional outcomes of copy number variations of Chrna7 gene: current knowledge and new insight from induced pluripotent stem cells studies
Introduction
CHRNA7 locus and CNVs (copy number variations)
Distribution and functions of α7 nicotinic receptors in the nervous system
Clinical characteristics of CHRNA7 CNV in human patients: heterozygous deletion and duplication, homozygous deletion
Novel concepts on the functions of the α7nAChR obtained through the use of iPSC models
Conclusions
Index
Advances in Stem Cell Biology
Series Editor
Alexander Birbrair
Copyright
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Notices
Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.
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ISBN: 978-0-12-823882-0
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Dedication
This book is dedicated to my mother, Marina Sobolevsky, of blessed memory, who passed away during the creation of this volume. Professor of Mathematics at the State University of Ceará (UECE), she was loved by her colleagues and students, whom she inspired by her unique manner of teaching. All success in my career and personal life I owe to her.
My beloved mom, Marina Sobolevsky, of blessed memory (July 28, 1959–June 3, 2020)
List of contributors
C.P. Barragán-Álvarez, Department of Medical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco, Mexico
Laura Bernardini, Medical Genetics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
Kristen L. Boeshore, Department of Biology, Lebanon Valley College, Annville, PA, United States
Shana N. Busch, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Ben A. Calvert, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Alessia Casamassa, Cellular Reprogramming Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
Brandon S. Cheuk, Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States
A. Cota-Coronado
Department of Medical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco, Mexico
The Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
Angela D'Anzi, Cellular Reprogramming Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
N.E. Díaz-Martínez, Department of Medical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco, Mexico
Yiqin Du
Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States
Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States
McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
Michael G. Fehlings
Division of Genetics and Development, Krembil Research Institute, University Health Network, Toronto, ON, Canada
Institute of Medical Science, University of Toronto, Toronto, ON, Canada
Department of Surgery, University of Toronto, Toronto, ON, Canada
Daniela Ferrari, Biotechnology and Bioscience Department, Bicocca University, Milan, Italy
William J. Freed, Department of Biology, Lebanon Valley College, Annville, PA, United States
Sabrina Ghosh, Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, United States
Richard M. Giadone, Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, United States
Anke Hoffmann, Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
Che-Yu Hsu, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
T.S.E. Hung-Fat, Cardiology Division, Department of Medicine, LKS Faculty of Medicine and Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
Zhour Jazouli, Institute for Neurosciences of Montpellier, University of Montpellier, Inserm, Montpellier, France
Vasiliki Kalatzis, Institute for Neurosciences of Montpellier, University of Montpellier, Inserm, Montpellier, France
Mohamad Khazaei, Division of Genetics and Development, Krembil Research Institute, University Health Network, Toronto, ON, Canada
Sinem Koc-Gunel, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Ajay Kumar, Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States
N.G. Kwong-Man, Cardiology Division, Department of Medicine, LKS Faculty of Medicine and Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
Chun-Ting Lee, Cellular Neurobiology Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States
Zareeb Lorenzana, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Takeru Makiyama, Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan
William Brett McIntyre
Division of Genetics and Development, Krembil Research Institute, University Health Network, Toronto, ON, Canada
Institute of Medical Science, University of Toronto, Toronto, ON, Canada
George J. Murphy
Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, United States
Section of Hematology and Oncology, Department of Medicine, Boston University School of Medicine, Boston, MA, United States
M. Paulina Ordonez, Department of Pediatrics, University of California, San Diego, CA, United States
E. Padilla-Camberos, Department of Medical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco, Mexico
Katarzyna Pieczonka
Division of Genetics and Development, Krembil Research Institute, University Health Network, Toronto, ON, Canada
Institute of Medical Science, University of Toronto, Toronto, ON, Canada
Erik J. Quiroz
Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, United States
Edward Robinson, Division of Genetics and Development, Krembil Research Institute, University Health Network, Toronto, ON, Canada
Jessica Rosati, Cellular Reprogramming Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
Amy L. Ryan
Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, United States
Christiana N. Senger, Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States
Dietmar Spengler, Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
John Steele, Department of Biological Sciences, Humboldt State University, Arcata, CA, United States
Ada Maria Tata, Dept Biology and Biotechnologies Charles Darwin, Sapienza University of Rome, Rome, Italy
Simona Torriano, Jules Stein Eye Institute, Department of Ophthalmology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States
V. Valadez-Barba, Department of Medical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Jalisco, Mexico
Angelo Luigi Vescovi
Biotechnology and Bioscience Department, Bicocca University, Milan, Italy
Cellular Reprogramming Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
R.A.N. Xinru, Cardiology Division, Department of Medicine, LKS Faculty of Medicine and Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
T.S.E. Yiu-Lam, Cardiology Division, Department of Medicine, LKS Faculty of Medicine and Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
Emma Y. Wu, Pennsylania State University College of Medicine, Hershey, PA, United States
Michael J. Ziller, Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
About the editor
Alexander Birbrair
Dr. Alexander Birbrair received his bachelor's biomedical degree from Santa Cruz State University in Brazil. He completed his PhD in Neuroscience, in the field of stem cell biology, at the Wake Forest School of Medicine under the mentorship of Osvaldo Delbono. Then, he joined as a postdoc in stem cell biology at Paul Frenette's laboratory at Albert Einstein School of Medicine in New York. In 2016, he was appointed faculty at Federal University of Minas Gerais in Brazil, where he started his own lab. His laboratory is interested in understanding how the cellular components of different tissues function and control disease progression. His group explores the roles of specific cell populations in the tissue microenvironment by using state-of-the-art techniques. His research is funded by the Serrapilheira Institute, CNPq, CAPES, and FAPEMIG. In 2018, Alexander was elected affiliate member of the Brazilian Academy of Sciences, in 2019, he was elected member of the Global Young Academy (GYA), and in 2021 he was elected affiliate member of The World Academy of Sciences (TWAS). He is the Founding Editor and Editor-in-Chief of Current Tissue Microenvironment Reports, and Associate Editor of Molecular Biotechnology. Alexander also serves in the editorial board of several other international journals: Stem Cell Reviews and Reports, Stem Cell Research, Stem Cells and Development, and Histology and Histopathology.
Preface
This book's initial title was iPSCs: Recent Advances.
Nevertheless, because of the ongoing strong interest in this theme, we were able to collect more chapters than would fit in one single volume, covering induced pluripotent stem cells (iPSCs) biology from different perspectives. Therefore, the book was subdivided into several volumes.
This volume Novel Concepts in iPSC Disease Modeling
offers contributions by known scientists and clinicians in the multidisciplinary areas of biological and medical research. The chapters bring up-to-date comprehensive overviews of current advances in the field. This book describes the use of iPSCs to model several diseases in vitro, enabling us to study the cellular and molecular mechanisms involved in different pathologies. Further insights into these mechanisms will have important implications for our understanding of disease appearance, development, and progression. The authors focus on the modern state-of-the-art methodologies and the leading-edge concepts in the field of stem cell biology. In recent years, remarkable progress has been made in the obtention of iPSCs and their differentiation into several cell types, tissues, and organs using state-of-the-art techniques. These advantages facilitated identification of key targets and definition of the molecular basis of several disorders. Thus, this book is an attempt to describe the most recent developments in the area of iPSCs biology, which is one of the rising hot topics in the field of molecular and cellular biology today. Here, we present a selected collection of detailed chapters on what we know so far about the use of iPSCs for modeling multiple diseases. Twelve chapters written by experts in the field summarize the present knowledge about iPSC Disease Modeling.
Amy L Ryan and colleagues from University of Southern California discuss iPSCs for modeling respiratory disease. N. Emmanuel Díaz-Martínez and colleagues from Center for Research and Assistance in Technology and Design of the State of Jalisco describe iPSCs for modeling metabolic and neurodegenerative disorders. Yiqin Du and colleagues from University of Pittsburgh compile our understanding of iPSCs for modeling Open-Angle Glaucoma. George J. Murphy and colleagues from Boston University School of Medicine update us with what we know about patient-specific iPSCs for modeling amyloid disease. Vasiliki Kalatzis and colleagues from University of Montpellier summarize current knowledge on modeling choroideremia with iPSCs. Kristen L. Boeshore and colleagues from National Institute of Health talk about the modeling of substance use disorders using iPSCs. Takeru Makiyama from Kyoto University Graduate School of Medicine addresses the importance of iPSCs for modeling Cardiac Sodium Channelopathies. Hung-fat Tse and colleagues from The University of Hong Kong present the modeling of Danon Disease using iPSCs. Paulina Ordonez from University of California San Diego gives an overview of iPSCs for modeling of Niemann-Pick Disease type C1. Dietmar Spengler and colleagues from Max-Planck Institute of Psychiatry introduce what we know so far about iPSCs for modeling of psychiatric disorders. Michael G. Fehlings and colleagues from University of Toronto discuss iPSCs for Modeling of Spinal Cord Injury. Finally, Jessica Rosati and colleagues from Sapienza University of Rome focus on iPSCs for modeling functional outcomes of copy number variations in chrna7 gene.
It is hoped that the chapters published in this book will become a source of reference and inspiration for future research ideas. I would like to express my deep gratitude to my wife, Veranika Ushakova, and Ms. Billie Jean Fernandez and Ms. Elisabeth Brown from Elsevier, who helped at every step of the execution of this project.
Alexander Birbrair
Editor
Chapter 1: Induced pluripotent stem cells
novel concepts for respiratory disease modeling
Ben A. Calvert ¹ , a , Zareeb Lorenzana ¹ , Christiana N. Senger ¹ , Che-Yu Hsu ¹ , Shana N. Busch ¹ , Sinem Koc-Gunel ¹ , Erik J. Quiroz ¹ , ² , and Amy L. Ryan ¹ , ² , a ¹ Hastings Center for Pulmonary Research, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, United States ² Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, United States
Abstract
The past decade has witnessed the advent of induced pluripotency and methodology to direct these pluripotent stem cells to differentiate into many tissue-specific cell types, including those comprising the respiratory epithelium. Induced pluripotent stem cell-derived, (iPSC-derived), airway cells have expanded our capacity to replicate both respiratory development and disease. These relevant and reproducible models provide options to study disease-specific changes occurring in humans, which rodent models often do not readily recapitulate. Not only do these models use human cells, but they can also be patient-specific or engineered to reflect precise disease-causing mutations in controlled and isogenic cellular systems. Such advances represent a new era of precision medicine approaches for the evaluation and treatment of respiratory disease. This chapter presents a summary of recent advances in the generation of iPSC-derived cells, and their use in modeling human respiratory disease.
Keywords
Airways; Alveolar; Cystic fibrosis; Differentiation; Idiopathic pulmonary fibrosis; Induced pluripotent stem cells; Lung development; Organoids; Primary ciliary dyskinesia; Stem cells
List of abbreviations
Introduction
Recapitulating lung development using induced pluripotent stem cells
Early lung specification: definitive endoderm and anterior foregut endoderm
Generation of the NKX2.1 expressing primordial lung progenitor cells
Specification of proximal airway basal stem cells
Specification of distal airway alveolar type 2 stem cells
Specification of pulmonary neuroendocrine cells
Cellular plasticity in iPSC-derived airway progenitors
Modeling lung disease in the conducting airways
Cystic fibrosis
Primary ciliary dyskinesia
Inflammatory airway disease
Modeling lung disease in the distal airspace
Surfactant protein dysfunction
Alpha-1-anti-trypsin
Idiopathic pulmonary fibrosis
Lymphangioleiomyomatosis
Modeling viral infection of the lung
Concluding remarks
Acknowledgments
References
List of abbreviations
2-D 2-dimensional
3-D 3-dimensional
AAT alpha-1-antitrypsin
AATD alpha-1-antitrypsin deficiency
AAV6 adeno-associated virus 6
ABCA3 adenosine triphosphate binding cassette subfamily A member 3
ACE2 angiotensin-converting enzyme 2
AFE anterior foregut endoderm
ALI air–liquid interface
AM alveolar macrophage
AQP5 aquaporin 5
ARDS acute respiratory distress syndrome
AT1 alveolar type 1 cells
AT2 alveolar type 2 cells
ATP11A ATPase phospholipid transporting 11A
BC basal cells
BMP bone morphogenic protein
C-KIT tyrosine-protein kinase KIT (aka CD117, cluster of differentiation 117)
cAMP cyclic adenosine monophosphate
Cas9 CRISPR associated protein 9
CC club cells
CDX2 caudal type homeobox 2
CF cystic fibrosis
CFTR cystic fibrosis transmembrane regulator
CHIR CHRI99021, (a GSK-3 inhibitor)
CLP common lymphoid progenitor
CMP common myeloid progenitor
COPD chronic obstructive pulmonary disease
CPM carboxypeptidase M
CRISPR clustered regularly interspaced short palindromic repeats
CSF colony stimulating factors
CXCR4 C-X-C motif chemokine receptor 4
DE definitive endoderm
DMH-1 dorsomorphin homolog 1
DNAH5 dynein heavy chain 5
DPP9 dipeptidyl peptidase 9
DSP desmoplakin
ECM extracellular matrix
EGF epidermal growth factor
EHT endothelial-to-hematopoietic-transition
ERG erythroblast transformation-specific (ETS)-related gene
ETV5 ATS variant transcription factor 5
FACS flow activated cell sorting
FGF fibroblast growth factor
FLT3 Fms like tyrosine kinase 3
FOXA2/M1/P2 forkhead box A2/M1/P2
GATA6 GATA binding factor 6
GFP green fluorescent protein
GM-CSF granulocyte-macrophage colony stimulating factor
GSK glycogen synthase kinase
GWAS genome-wide association studies
HAECs human airway endothelial cells
HOPX homeodomain-only protein homeobox
HOXA5/9/10 Homeobox A5/9/10
HPS1 Hermansky-pudlak syndrome 1 protein
HSC hematopoietic stem cells
iAT2 induced AT2 cell
IBMX 3-isobutyl-1-methylxanthine
Id2 inhibitor of differentiation 2
IL interleukin
ILD interstitial lung diseases
IM interstitial macrophage
IPF idiopathic pulmonary fibrosis
iPSC induced pluripotent stem cells
IRF7 interferon regulatory factor 7
JAK2 janus kinase 2
KGF keratinocyte growth factor (or FGF7)
KLF4 krüppel like factor 4
KRT cytokeratin
MCC multiciliated cells
MIXL1 mix paired-like homeobox 1
MUC5B mucin 5B
NANCI NKX2.1 associated noncoding intergenic RNA
NDA deoxyribonucleic acid
NGFR nerve growth factor receptor
NKX2.1 NK2 homeobox 1
OBFC1 oligonucleotide-binding fold-containing protein 1
PAP pulmonary alveolar proteinosis
PAX8 paired box 8
PC phosphatidylcholine
PCD primary ciliary dyskinesia
PDPN podoplanin, aka T1alpha
PG phosphatidylglycerol
PNEC pulmonary neuroendocrine cells
POU5F1 (OCT4) octamer-binding protein 4
PRR pattern recognition receptor
PSC pluripotent stem cells
RA retinoic acid
RB retinoblastoma protein
RNP ribonucleoprotein
RUNX1 runt-related transcription factor 1
SARS-CoV-2 severe acute respiratory syndrome coronavirus 2
SCF stem cell factor
SERPINA1 serpin family A member 1
SFTPC surfactant protein C
Shh sonic hedgehog
SMAD similarity to drosophila gene mothers against decapentaplegic (MAD)
SOX2/17 SRY (sex determining region Y)-box 2/17
SPI1 transcription factor PU.1
STAT3 signal transducer and activator of transcription 3
TERC telomerase RNA component
TERT telomerase reverse transcriptase
TGFβ transforming growth factor beta
TMPSSR2 transmembrane protease serene 2
TOLLIP toll interacting protein
TP63 tumor protein 63
TPO thrombopoietin
vCC variant club cells
VEGF vascular endothelial growth factor
Wnt wingless/int family
WT wild-type
Introduction
While other diseases, such as cardiovascular disease, have seen a regression in morbidity and mortality rates due to an increased number of therapeutic approaches successfully reaching the clinic, respiratory disease rates continue to increase. Despite numerous promising therapeutics emerging from preclinical trials, respiratory disease has far fewer new drugs eventually being approved for patient use. One contributing factor is the limited number of disease and patient-specific model systems available to study human respiratory disease onset and progression. Murine models have provided some of the most informative data on lung development, reviewed in Rawlins and Perl (2012). For example, lineage tracing of SRY (sex-determining region Y)-box 2 (SOX2) helped to elucidate its role in lung budding and differentiation of tracheal mesenchyme and epithelium (Que et al., 2009). Unfortunately, for many respiratory diseases, differences in human and rodent lung structure and function reflect in models that do not fully capture disease phenotypes as they occur in humans. Models of cystic fibrosis (CF) in mice, for example, complete knockouts (O'Neal et al., 1993; Snouwaert et al., 1992), ΔF508 mutants (Colledge et al., 1995; van Doorninck et al., 1995), G551D mutants (Delaney et al., 1996; Semaniakou et al., 2018), variably represent the human manifestation of the disease (reviewed extensively in McCarron et al., 2018; Wilke et al., 2011). Similarly, idiopathic pulmonary fibrosis (IPF) models, often induced by intratracheal instillation of bleomycin in rodents (Antoniu and Kolb, 2009; Carrington et al., 2018; Williamson et al., 2015), share dissimilar pathogenesis, and vary in detectable alveolar cell death and inflammation. While characterized by the development of fibrotic foci, the distribution of fibrosis differs from that in humans (reviewed in Williamson et al., 2015). Such differences in the pathophysiology of IPF in rodent models are likely one of the reasons for a complete absence of therapeutics available to increase survival in patients with IPF (Raghu et al., 2011). While some lung diseases are better recapitulated in larger animal models, such as pig and ferret models of CF (Li et al., 2006; Meyerholz et al., 2018; Pezzulo et al., 2012; Rogers et al., 2008a; Rosen et al., 2018; Sun et al., 2010; Welsh et al., 2009; Xie et al., 2018), these are costly models to develop and are therefore not suitable for high throughput studies. While these models may increase our knowledge of disease onset and pathogenesis, the value of such models in translating therapeutics successfully into the clinic is still largely unknown. Establishing a reproducible human and patient-specific model that is sustainable and scalable has the potential to accelerate therapeutic development for lung disease, particularly for rare lung diseases, is likely a valuable addition to the tool-kit for studying human lung disease pathogenesis.
Primary patient cells fulfill some of the criteria for modeling human lung disease ex vivo. Unfortunately, access to patient cells is restricted to the availability of explant lungs from patients with end-stage disease or small samples which can be obtained by bronchoscopy, limiting the number of cells that can be acquired. In vitro expansion of primary lung basal cells (BCs) while retaining their multipotent stem cell phenotype is limited, recent advances in the field are starting to elucidate methods for more robust long-term expansion of lung basal stem cells (Mou et al., 2016; Reynolds et al., 2016). Access to cells representing rare lung diseases for in vitro assays remains a significant limitation due to the low number of patients available for cell procurement. The discovery of human-induced pluripotency (induced pluripotent stem cells [iPSCs]) by the laboratories of Yamanaka and Thomson in 2007 provided a new technology that could be utilized for disease modeling in human cells, with the capacity to understand disease development and pathogenic mechanisms (Okita et al., 2007; Takahashi et al., 2007a,b; Yu et al., 2007). Directed differentiation of iPSCs can recapitulate key embryonic milestones in the development of the human lung to generate cells of the airway epithelium. Crucial studies of lung development in mice allowed us to understand some of the signaling pathways that direct lung organogenesis (Bellusci et al., 1997; Chung et al., 2018; Lu et al., 2001; Mucenski et al., 2003; Okubo and Hogan, 2004; Weaver et al., 1999, 2000; Zhang et al., 2007, 2008). Protocols involving the sequential and temporal addition of factors regulating activin/nodal, bone morphogenic protein (BMP), fibroblast growth factor (FGF), transforming growth factor bets (TGFβ), wingless (Wnt), and sonic hedgehog (Shh) signaling to pluripotent cells have evolved from early studies generating a relatively immature lung epithelium (Firth et al., 2014; Ghaedi et al., 2013; Green et al., 2011; Huang et al., 2014; Wong et al., 2012), to recent advances where functional cells can be generated and used for effective disease modeling (Ghaedi and Niklason, 2019; Happle et al., 2018; Hurley et al., 2020; Leibel et al., 2019; McCauley et al., 2017; Sahabian et al., 2019; Strikoudis et al., 2019). This chapter focuses on discussing some of the most recent advances in utilizing iPSC-derived cells to model human respiratory disease (Table 1.1).
Table 1.1
CD26, cluster of differentiation 26, also known as dipeptidyl peptidase-4 (DPP4) or adenosine deaminase complexing protein 2; CD47, cluster of differentiation 47, also known as integrin associated protein (IAP); CFTR, cystic fibrosis transmembrane regulator; iPSC, induced pluripotent stem cells; NKX2.1, NK2 homeobox 1, also known as thyroid transcription factor 1 (TTF-1); SMAD, similarity to drosophila gene Mothers Against Decapentaplegic; Wnt, wingless.
Recapitulating lung development using induced pluripotent stem cells
Among the many organs that arise from the endoderm, the lung has received considerable attention over the past few years, driven by a need to develop better disease models specific to the human respiratory system. Although in depth, lineage-tracing studies have elegantly demonstrated stages of fetal lung development in rodents, human lung development is less well-understood and rodent signaling pathways guiding lung development are not necessarily conserved humans (Bellusci et al., 1997; Hogan et al., 1997; Lu et al., 2001; Morrisey, 2018; Mucenski et al., 2003; Rawlins et al., 2008; Stabler and Morrisey, 2017; Swarr and Morrisey, 2015; Wang et al., 2013; Weaver et al., 2000; Zhang et al., 2007). Consequently, there is an incomplete understanding of the underlying mechanisms involved in early human fetal lung development. In humans, the respiratory epithelium of the lung differentiates from the anterior foregut endoderm (AFE) and the splanchnic mesoderm gives rise to the pulmonary mesenchyme. Lung development begins during weeks 4–7 of embryonic development when Wnt2/Wnt2b expressing cells in the ventral anterior mesoderm are thought to interact with the cells of the AFE (Goss et al., 2009). Additionally, BMP4 expressed in the surrounding mesenchyme, inhibits SOX2 expression in these early progenitor cells which concomitantly increases NK2 homeobox 1 (NKX2.1) expression, a key transcription factor that specifies thyroid and lung development (Domyan et al., 2011). The embryonic stage is followed by the fetal period consisting of the pseudoglandular stage (weeks 5–17), the canalicular stage (weeks 16–26), and finally the saccular stage (weeks 24 to birth). Lung alveolarization occurs during the postpartum period and continues throughout childhood (weeks 36 up to 8years Narayanan et al., 2012). The lung is partitioned into two core regions, the airways and parenchyma. The airways form the conduits between the outside world and the primary gas exchanging unit, the alveoli. The conducting airways comprise of the trachea which divides into two primary bronchi that enter the lung at each hilus. The primary bronchi then branch repeatedly into smaller bronchi and bronchioles eventually enter a terminal bronchiole. Distal airways comprise of those with a diameter of less than 2mm leading to the terminal bronchioles and the alveolar ducts (Jain and Sznajder, 2007).
In 2007, Takahashi and Yamanaka discovered that a combination of four transcriptions factors (POU5F1 (OCT4), krüppel like factor 4 (KLF4), c-Myc and SOX2) could be used to reprogram somatic, differentiated cells into pluripotent cells akin to embryonic stem cells (Takahashi et al., 2007a,b). These cells are known as iPSCs and can be generated from any accessible and proliferating cell source including fibroblasts, keratinocytes, and peripheral blood mononuclear cells (Aasen et al., 2008; Loh et al., 2009; Takahashi et al., 2007b). iPSCs have the same unique properties as embryonic stem cells including a seemingly unlimited self-renewal capacity and differentiation into all three germ layers. The differentiated progeny is attractive for the creation of disease-specific models enabling analysis of complex cellular and molecular interactions occurring during human lung development and disease manifestation and progression, in addition to being a promising source of cells for tissue regeneration. iPSCs can be patient-specific and, therefore, provide an autologous cell source that is genetically identical to the patient, allowing for the potential to engraft cells or tissue generated from these cells while avoiding the need for immune suppression. Specific differentiation of iPSCs toward cells comprising the adult lung follows a stepwise strategy striving to mimic the abovementioned stages of lung development and maturation in vitro. This results in compression of the timeline from months to days in culture. This challenge is not trivial and over the past 10 years methodology has been established and protocols refined to generate cells and structures that resemble the human adult conducting airways and more distal alveolar cells (Dye et al., 2015; Firth et al., 2014; Hawkins et al., 2017; Huang et al., 2015; Jacob et al., 2017; Konishi et al., 2016;