Cell-based Disease Modeling Research Articles

Patient-specific induced pluripotent stem cells to evaluate the pathophysiology of TRNT1-associated Retinitis pigmentosa

Retinitis pigmentosa (RP) is a heterogeneous group of monogenic disorders characterized by progressive death of the light-sensing photoreceptor cells of the outer neural retina. We recently identified novel hypomorphic mutations in the tRNA Nucleotidyl Transferase, CCA-Adding 1 (TRNT1) gene that cause early-onset RP. To model this disease in vitro, we generated patient-specific iPSCs and iPSC-derived retinal organoids from dermal fibroblasts of patients with molecularly confirmed TRNT1-associated RP. Pluripotency was confirmed using rt-PCR, immunocytochemistry, and a TaqMan Scorecard Assay. Mutations in TRNT1 caused reduced levels of full-length TRNT1 protein and expression of a truncated smaller protein in both patient-specific iPSCs and iPSC-derived retinal organoids. Patient-specific iPSCs and iPSC-derived retinal organoids exhibited a deficit in autophagy, as evidenced by aberrant accumulation of LC3-II and elevated levels of oxidative stress. Autologous stem cell-based disease modeling will provide a platform for testing multiple avenues of treatment in patients suffering from TRNT1-associated RP.

Induced Pluripotent Stem Cells for Disease Modeling and Evaluation of Therapeutics for Niemann-Pick Disease Type A.

Currently, there is no effective treatment for Niemann-Pick disease type A (NPA). To accelerate drug discovery for treatment of NPA, NPA-induced pluripotent stem cells were generated from patient dermal fibroblasts and differentiated into neural stem cells. By using the differentiated NPA neuronal cells as a cell-based disease model system, α-tocopherol, δ-tocopherol, and hydroxypropyl-β-cyclodextrin significantly reduced sphingomyelin accumulation in these NPA neuronal cells. Therefore, this cell-based NPA model can be used for further study of disease pathophysiology and for high-throughput screening of compound libraries to identify lead compounds for drug development.

Induced pluripotent stem cells: methods, disease modeling, and microenvironment for drug discovery and screening

The raging ethical, religious, moral, political, and safety issues pertaining to the use of embryonic stem cells for therapy and research have prompted researchers to develop possibly better alternatives that are more efficacious and serve multiple purposes. Induced pluripotent stem cells (iPSCs) developed by multiple methods provide an unparalleled source of cells that could be differentiated into progeny cells. In cell-based disease models the progeny cells mimic, at least in part, the pathology of the studied disease and are used to improve the mechanistic understanding of the pathology. Furthermore, these cells could be used to test the efficacy and safety of drugs that can reverse this phenotype. This review provides an overview of the aforesaid methods for iPSC generation and the development of certain disease-based model systems. In this review, the focus is on model systems for neurological and hematological diseases. Last but not least, the importance of the microenvironment is underscored and the significance of these model systems is discussed in the context of drug screening and development.

Canine Pluripotent Stem Cells: Are They Ready for Clinical Applications?

The derivation of canine embryonic stem cells and generation of canine-induced pluripotent stem cells are significant achievements that have unlocked the potential for developing novel cell-based disease models, drug discovery platforms, and transplantation therapies in the dog. A progression from concept to cure in this clinically relevant companion animal will not only help our canine patients but also help advance human regenerative medicine. Nevertheless, many issues remain to be resolved before pluripotent cells can be used clinically in a safe and reproducible manner.

Use of genome editing tools in human stem cell-based disease modeling and precision medicine.

Precision medicine emerges as a new approach that takes into account individual variability. The successful conduct of precision medicine requires the use of precise disease models. Human pluripotent stem cells (hPSCs), as well as adult stem cells, can be differentiated into a variety of human somatic cell types that can be used for research and drug screening. The development of genome editing technology over the past few years, especially the CRISPR/Cas system, has made it feasible to precisely and efficiently edit the genetic background. Therefore, disease modeling by using a combination of human stem cells and genome editing technology has offered a new platform to generate " personalized " disease models, which allow the study of the contribution of individual genetic variabilities to disease progression and the development of precise treatments. In this review, recent advances in the use of genome editing in human stem cells and the generation of stem cell models for rare diseases and cancers are discussed.

Current status of pluripotent stem cells: moving the first therapies to the clinic.

Pluripotent stem cells (PSCs) hold great promise for drug discovery and regenerative medicine owing to their ability to differentiate into any cell type in the body. After more than three decades of research, including delays due to the potential tumorigenicity of PSCs and inefficiencies in differentiation methods, the field is at a turning point, with a number of clinical trials across the globe now testing PSC-derived products in humans. Ocular diseases dominate these first-in-man trials, and Phase l/ll results are showing promising safety data as well as possible efficacy. In addition, the advent of induced PSC (iPSC) technology is enabling the development of a wide range of cell-based disease models from genetically predisposed patients, thereby facilitating drug discovery. In this Review, we discuss the recent progress and remaining challenges for the use of PSCs in regenerative medicine and drug development.

The fused in sarcoma protein forms cytoplasmic aggregates in motor neurons derived from integration-free induced pluripotent stem cells generated from a patient with familial amyotrophic lateral sclerosis carrying the FUS-P525L mutation.

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that primarily affects motor neurons (MNs) and has no effective treatment. Mutations in the fused in sarcoma (FUS) gene and abnormal aggregation of FUS protein have been reported in ALS. However, the mechanisms involved in ALS are poorly understood. Clinical drug trails have failed due to a lack of appropriate disease models, including a lack of access to MNs from ALS patients. Induced pluripotent stem (iPS) cells derived from patients with ALS provide an indispensable resource for in vitro mechanistic studies and for future patient-specific cell-based therapies. Previous reports demonstrated that viral-based ALS-iPS cells generated from fibroblasts harvested from Caucasian populations are ideal for basic research; however, ALS-iPS cells are precluded from cell-based therapeutic applications because of the risks associated with the integration of viral sequences into the genome and inconvenience associated with dermal biopsies. To establish a model for use in clinical applications, using episomal vectors, we generated an integration-free iPS cell line from peripheral blood mononuclear cells (PBMCs) harvested from a familial ALS (FALS) patient carrying the FUS-P525L mutation and a healthy control. Furthermore, we successfully differentiated ALS patient-specific iPS cells into MNs and subsequently detected cytoplasmic mislocalization and formation of FUS protein aggregates in MNs due to the FUS-P525L mutation. Our findings offer a cell-based disease model for use in further elucidating ALS pathogenesis and provide a tool for exploring gene repair coupled with cell replacement therapy.

Neurogenin 2 enhances the generation of patient-specific induced neuronal cells

Direct lineage reprogramming of human fibroblasts into functional neurons holds great promise for biomedical applications such as regenerative medicine and cellbased disease modelling. However, clinical applications must consider how to increase neuronal conversion efficiency and at the same time reduce the number of required transcription factors. Here, we investigated whether Neurogenin 2 (Ngn2), which is a proneural gene that directs neuronal differentiation of progenitor cells during development, can enhance the generation of patient-specific induced neuronal cells. In this study, we transfected Ascl1, Sox2 and Ngn2 into human fibroblasts from the patients׳ scalp by lentivirus. Morphological analysis, immunocytochemistry, gene expression and electrophysiological analysis were performed to identify the similarity of induced neuronal cells (iNCs) to human neuronal cells. Ngn2 increase the conversion efficiency from 4% to 13.4%. iNCs express neuronal cell markers and resemble wild-type neurons in their morphology, gene expression profiles and exhibit functional membrane properties of mature neurons. Implanted iNCs can survive and integrate in mouse brains and, unlike iPS cell-derived neural cells, do not generate tumours.

Genetic and functional characterization of clonally derived adult human brown adipocytes.

Brown adipose tissue (BAT) acts in mammals as a natural defense system against hypothermia, and its activation to a state of increased energy expenditure is believed to protect against the development of obesity. Even though the existence of BAT in adult humans has been widely appreciated, its cellular origin and molecular identity remain elusive largely because of high cellular heterogeneity within various adipose tissue depots. To understand the nature of adult human brown adipocytes at single cell resolution, we isolated clonally derived adipocytes from stromal vascular fractions of adult human BAT from two individuals and globally analyzed their molecular signatures. We used RNA sequencing followed by unbiased genome-wide expression analyses and found that a population of uncoupling protein 1 (UCP1)-positive human adipocytes possessed molecular signatures resembling those of a recruitable form of thermogenic adipocytes (that is, beige adipocytes). In addition, we identified molecular markers that were highly enriched in UCP1-positive human adipocytes, a set that included potassium channel K3 (KCNK3) and mitochondrial tumor suppressor 1 (MTUS1). Further, we functionally characterized these two markers using a loss-of-function approach and found that KCNK3 and MTUS1 were required for beige adipocyte differentiation and thermogenic function. The results of this study present new opportunities for human BAT research, such as facilitating cell-based disease modeling and unbiased screens for thermogenic regulators.

Niemann–Pick Disease Type C: Induced Pluripotent Stem Cell–Derived Neuronal Cells for Modeling Neural Disease and Evaluating Drug Efficacy

Niemann–Pick disease type C (NPC) is a rare neurodegenerative disorder caused by recessive mutations in the NPC1 or NPC2 gene that result in lysosomal accumulation of unesterified cholesterol in patient cells. Patient fibroblasts have been used for evaluation of compound efficacy, although neuronal degeneration is the hallmark of NPC disease. Here, we report the application of human NPC1 neural stem cells as a cell-based disease model to evaluate nine compounds that have been reported to be efficacious in the NPC1 fibroblasts and mouse models. These cells are differentiated from NPC1 induced pluripotent stem cells and exhibit a phenotype of lysosomal cholesterol accumulation. Treatment of these cells with hydroxypropyl-β-cyclodextrin, methyl-β-cyclodextrin, and δ-tocopherol significantly ameliorated the lysosomal cholesterol accumulation. Combined treatment with cyclodextrin and δ-tocopherol shows an additive or synergistic effect that otherwise requires 10-fold higher concentration of cyclodextrin alone. In addition, we found that hydroxypropyl-β-cyclodextrin is much more potent and efficacious in the NPC1 neural stem cells compared to the NPC1 fibroblasts. Miglustat, suberoylanilide hydroxamic acid, curcumin, lovastatin, pravastatin, and rapamycin did not, however, have significant effects in these cells. The results demonstrate that patient-derived NPC1 neural stem cells can be used as a model system for evaluation of drug efficacy and study of disease pathogenesis.

Generation of induced pluripotent stem cells from amyotrophic lateral sclerosis patientcarrying SOD1-V14M mutation

To generate familial ALS patient specific induced pluripotent stem (iPS) cell lines and motor neurons and provide a cell-based disease model for amyotrophic lateral sclerosis (ALS) in Han Chinese. iPS cells were derived from familial ALS patient by introducing 4 transcription factors OCT3/4, SOX2, KLF4 and c-MYC into fibroblast cells by retroviruses. Karyotypic analysis, immunofluorescence staining and quantitative reverse transcription-polymerase chain reaction (RT-PCR) were used to identify the pluripotency of these iPS cell lines. In addition, motor neurons were derived from these iPS cells by inhibiting SMAD pathway. IPS cell lines were established from ALS patient carrying SOD1-V14M mutation. They had pluripotency and were similar to human ES cells. Furthermore, motor neurons were successfully induced from these iPS cells. SOD1-V14M mutation does not affect the reprogramming of fibroblast cells and pluripotency of iPS cells, nor does it prevent differentiation of motor neurons. Furthermore, the above cell-based disease model can recapitulate key aspects of ALS pathogenesis so that it provides an indispensible resource for further elucidating ALS disease pathogenesis and screening appropriate drug candidates in Han Chinese.

A Simple, Cost-Effective but Highly Efficient System for Deriving Ventricular Cardiomyocytes from Human Pluripotent Stem Cells

Self-renewable human pluripotent stem cells (hPSCs) serve as a potential unlimited ex vivo source of human cardiomyocytes (CMs) for cell-based disease modeling and therapies. Although recent advances in directed differentiation protocols have enabled more efficient derivation of hPSC-derived CMs with an efficiency of ∼50%-80% CMs and a final yield of ∼1-20 CMs per starting undifferentiated hPSC, these protocols are often not readily transferrable across lines without first optimizing multiple parameters. Further, the resultant populations are undefined for chamber specificity or heterogeneous containing mixtures of atrial, ventricular (V), and pacemaker derivatives. Here we report a highly cost-effective and reproducibly efficient system for deriving hPSC-ventricular cardiomyocytes (VCMs) from all five human embryonic stem cell (HES2, H7, and H9) and human induced PSC (hiPSC) (reprogrammed from human adult peripheral blood CD34(+) cells using nonintegrating episomal vectors) lines tested. Cardiogenic embryoid bodies could be formed by the sequential addition of BMP4, Rho kinase inhibitor, activin-A, and IWR-1. Spontaneously contracting clusters appeared as early as day 8. At day 16, up to 95% of cells were cTnT(+). Of which, 93%, 94%, 100%, 92%, and 92% of cardiac derivatives from HES2, H7, H9, and two iPSC lines, respectively, were VCMs as gauged by signature ventricular action potential and ionic currents (INa(+)/ICa,L(+)/IKr(+)/IKATP(+)); Ca(2+) transients showed positive chronotropic responses to β-adrenergic stimulation. Our simple, cost-effective protocol required the least amounts of reagents and time compared with others. While the purity and percentage of PSC-VCMs were comparable to a recently published protocol, the present yield and efficiency with a final output of up to 70 hPSC-VCMs per hPSC was up to 5-fold higher and without the need of performing line-specific optimization. These differences were discussed. The results may lead to mass production of hPSC-VCMs in bioreactors.

A novel assay for high-throughput screening of anti-Alzheimer’s disease drugs to determine their efficacy by real-time monitoring of changes in PC12 cell proliferation

Alzheimer’s disease (AD) is a neurodegenerative disease that is characterized by the accumulation of senile plaque and neurofibrilary tangle formation in the brain, including the cerebral cortex and hippocampus. Nowadays, the first-line treatment for AD is the application of acetylcholinesterase inhibitors. However, acetylcholinesterase inhibitors are basically anti-symptomatic for a limited aspect of AD pathology and are associated with serious side-effects. With the advantage of multiple targets, pathways and systems, Chinese herbal compounds hold promising potential for the development of drugs for the treatment of AD. Over the past few years, with the development of Chinese herbal compounds and in vitro pharmacological studies, cell-based disease models are one of the main methods used to screen Chinese herbal compounds for potential efficacy. Testing the efficacy of possible anti-Alzheimer’s disease drugs and the development of new drugs are hindered by the lack of objective high-throughput screening methods. Currently, the assessment of the effects of drugs is usually made by MTT assays, involving laborious, subjective, low-throughput methods. Herein, we suggest a novel application for a real-time cell monitoring device (xCELLigence) that can simply and objectively assess the effective composition of Chinese herbal compounds by assessing amyloid-β peptide Aβ1-42-induced apoptosis in PC12 cells. We detected the proliferation and motility of the cells using a fully automated high-throughput and real-time system. We quantitatively assessed cell motility and determined the real-time IC50 values of various anti-AD drugs that intervene in several developmental stages of Aβ1-42-induced apoptosis in PC12 cells, Then, we identified the optimal time phase by curative efficacy. Our data indicate that this technique may aid in the discovery and development of novel anti-Alzheimer’s disease drugs. It is possible to utilize a similar technique to measure changes in electrical impedance as cells attach and spread in a culture dish covered with a gold microelectrode array that covers approximately 80% of the area on the bottom of a well. As cells attach and spread on the electrode surface, it leads to an increase in electrical impedance of 9–12. The impedance is displayed as a dimensionless parameter termed the cell index, which is directly proportional to the total area of tissue culture well that is covered by the cells. Hence, the cell index can be used to monitor cell adhesion, spreading, morphological variation and cell density.

Guiding the osteogenic fate of mouse and human mesenchymal stem cells through feedback system control

Stem cell-based disease modeling presents unique opportunities for mechanistic elucidation and therapeutic targeting. The stable induction of fate-specific differentiation is an essential prerequisite for stem cell-based strategy. Bone morphogenetic protein 2 (BMP-2) initiates receptor-regulated Smad phosphorylation, leading to the osteogenic differentiation of mesenchymal stromal/stem cells (MSC) in vitro; however, it requires supra-physiological concentrations, presenting a bottleneck problem for large-scale drug screening. Here, we report the use of a double-objective feedback system control (FSC) with a differential evolution (DE) algorithm to identify osteogenic cocktails of extrinsic factors. Cocktails containing significantly reduced doses of BMP-2 in combination with physiologically relevant doses of dexamethasone, ascorbic acid, beta-glycerophosphate, heparin, retinoic acid and vitamin D achieved accelerated in vitro mineralization of mouse and human MSC. These results provide insight into constructive approaches of FSC to determine the applicable functional and physiological environment for MSC in disease modeling, drug screening and tissue engineering.

Human pluripotent stem cell models of autism spectrum disorder: emerging frontiers, opportunities, and challenges towards neuronal networks in a dish.

Autism spectrum disorder (ASD) is characterized by deficits in language development and social cognition and the manifestation of repetitive and restrictive behaviors. Despite recent major advances, our understanding of the pathophysiological mechanisms leading to ASD is limited. Although most ASD cases have unknown genetic underpinnings, animal and human cellular models of several rare, genetically defined syndromic forms of ASD have provided evidence for shared pathophysiological mechanisms that may extend to idiopathic cases. Here, we review our current knowledge of the genetic basis and molecular etiology of ASD and highlight how human pluripotent stem cell-based disease models have the potential to advance our understanding of molecular dysfunction. We summarize landmark studies in which neuronal cell populations generated from human embryonic stem cells and patient-derived induced pluripotent stem cells have served to model disease mechanisms, and we discuss recent technological advances that may ultimately allow in vitro modeling of specific human neuronal circuitry dysfunction in ASD. We propose that these advances now offer an unprecedented opportunity to help better understand ASD pathophysiology. This should ultimately enable the development of cellular models for ASD, allowing drug screening and the identification of molecular biomarkers for patient stratification.

Neural stem and progenitor cells in health and disease

Neural stem/progenitor cells (NSPCs) have the potential to differentiate into neurons, astrocytes, and/or oligodendrocytes. Because these cells can be expanded in culture, they represent a vast source of neural cells. With the recent discovery that patient fibroblasts can be reprogrammed directly into induced NSPCs, the regulation of NSPC fate and function, in the context of cell-based disease models and patient-specific cell-replacement therapies, warrants review.

Key differences in hypertrophic signalling between hESC- and hIPSC-derived cardiomyocytes

The potential of stem cell-based disease modelling is enhanced by the realisation that cardiomyocytes from human embryonic stem cells (hESC-CM) and induced pluripotent stem cells (hiPSC-CM) can be obtained with disease-specificity. Hypertrophy is a high priority target because of its central role in the transition to heart failure. Strikingly, here we found that hiPSC-CM are relatively unresponsive to major hypertrophic signals compared to hESC-CM. We show that the normal alpha-adrenergic receptor 1A subtype (ADRA1A) is not expressed robustly in either cell type. ADRA1A is reversibly silenced during differentiation, accompanied by up-regulation of ADRA1B, resulting in a distinct gene profile from that in adult human cardiomyocytes. Loss of ADRA1A is more pronounced in hiPSC-CM, due to greater epigenetic silencing and more marked up-regulation of HIF-1α, but ultimately both cell types differ from adult in their reliance on active ADRA1B rather than ADRA1A. ADRA1B up-regulation is sufficient in hESC-CM for hypertrophic changes such as cell size, cell volume and ANF. However, in hiPSC-CM, additional decreased G-protein signalling and tonically inhibitory pathway networks suppress the effect of alpha-adrenoceptor stimulation on growth. Superficial similarities between hESC-CM, hiPSC-CM and adult cardiomyocytes may mask complex differences in signalling. These data raise serious questions regarding the hiPSC-CM as a valid model system for certain aspects of cardiac disease.

Switching cell fate, ncRNAs coming to play

Cell fate decision is a critical step during physiological development when embryonic stem cells commit to either becoming adult stem cells or somatic cells. Recent advances in reprogramming demonstrate that a similar set of transcription factors (TFs), which are important for maintaining the pluripotent state of stem cells, can also reprogram somatic cells to induced pluripotent stem cells (iPSCs). In addition, trans-differentiation, which entails the use of different sets of defined factors, whereby one type of somatic cell can be directly converted into another and even to cell types from different germ layers has become a parallel widely used approach for switching cell fate. All these progresses have provided powerful tools to manipulate cells for basic science and therapeutic purposes. Besides protein-based factors, non-coding RNAs (ncRNAs), particularly microRNAs and long ncRNAs, are also involved in cell fate determination, including maintaining self-renewal of pluripotent stem cells and directing cell lineage. Targeting specific ncRNAs represents an alternative promising approach to optimize cell-based disease modeling and regenerative therapy. Here we focus on recent advances of ncRNAs in cell fate decision, including ncRNA-induced iPSCs and lineage conversion. We also discuss some underlying mechanisms and implications in molecular pathogenesis of human diseases.

Induced pluripotent stem cells in the study of neurological diseases

Five years after their initial derivation from mouse somatic cells, induced pluripotent stem (iPS) cells are an important tool for the study of neurological diseases. By offering an unlimited source of patient-specific disease-relevant neuronal and glial cells, iPS cell-based disease models hold enormous promise for identification of disease mechanisms, discovery of molecular targets and development of phenotypic screens for drug discovery. The present review focuses on the recent advancements in modeling neurological disorders, including the demonstration of disease-specific phenotypes in iPS cell-derived neurons generated from patients with spinal muscular atrophy, familial dysautonomia, Rett syndrome, schizophrenia and Parkinson disease. The ability of this approach to detect treatment effects from known therapeutic compounds has also been demonstrated, providing proof of principle for the use of iPS cell-derived cells in drug discovery.

Chemical target and pathway toxicity mechanisms defined in primary human cell systems

Introduction The ability to predict the health effects resulting from drug or chemical exposure has been challenging due to the complexity of human biology. Approaches that detect and discriminate a broad range of mechanisms in testing formats that are predictive and yet cost-effective are needed. Methods Here, we evaluated the performance of BioMAP systems, primary human cell-based disease models, as a platform for characterization of chemical toxicity mechanisms. For this we tested a set of compounds with known or well-studied mechanisms in a panel of 8 BioMAP assays relevant to human respiratory, skin, immune and vascular exposure sites. Results We evaluated the ability to detect and distinguish compounds based on mechanisms of action, comparing the BioMAP activity profiles generated in a reduced sample number format to reference database profiles derived from multiple experiments. We also studied the role of BioMAP assay panel size and concentration effects, both of which were found to contribute to the ability to discriminate chemicals and mechanisms. Discussion Compounds with diverse mechanisms, including modulators of the NFκB pathway, microtubule function and mitochondrial activity, could be discriminated and classified into target and pathway mechanisms in both assay formats. Certain inhibitors of mitochondrial function, such as rotenone and sodium azide, but not others, were classified with inducers of endoplasmic reticulum stress, providing insight into the toxicity mechanisms of these agents. This method may have utility in classifying novel agents with unknown modes of action according to their effects on toxicity pathways.