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1.
Nature ; 546(7658): 370-375, 2017 06 15.
Article in English | MEDLINE | ID: mdl-28489815

ABSTRACT

Technology utilizing human induced pluripotent stem cells (iPS cells) has enormous potential to provide improved cellular models of human disease. However, variable genetic and phenotypic characterization of many existing iPS cell lines limits their potential use for research and therapy. Here we describe the systematic generation, genotyping and phenotyping of 711 iPS cell lines derived from 301 healthy individuals by the Human Induced Pluripotent Stem Cells Initiative. Our study outlines the major sources of genetic and phenotypic variation in iPS cells and establishes their suitability as models of complex human traits and cancer. Through genome-wide profiling we find that 5-46% of the variation in different iPS cell phenotypes, including differentiation capacity and cellular morphology, arises from differences between individuals. Additionally, we assess the phenotypic consequences of genomic copy-number alterations that are repeatedly observed in iPS cells. In addition, we present a comprehensive map of common regulatory variants affecting the transcriptome of human pluripotent cells.


Subject(s)
Genetic Variation/genetics , Induced Pluripotent Stem Cells/metabolism , Cells, Cultured , Cellular Reprogramming/genetics , DNA Copy Number Variations/genetics , Gene Expression Regulation/genetics , Genotype , Humans , Organ Specificity , Phenotype , Quality Control , Quantitative Trait Loci/genetics , Transcriptome/genetics
3.
Methods ; 96: 85-96, 2016 Mar 01.
Article in English | MEDLINE | ID: mdl-26608109

ABSTRACT

Induced pluripotent stem cells (iPSCs) provide invaluable opportunities for future cell therapies as well as for studying human development, modelling diseases and discovering therapeutics. In order to realise the potential of iPSCs, it is crucial to comprehensively characterise cells generated from large cohorts of healthy and diseased individuals. The human iPSC initiative (HipSci) is assessing a large panel of cell lines to define cell phenotypes, dissect inter- and intra-line and donor variability and identify its key determinant components. Here we report the establishment of a high-content platform for phenotypic analysis of human iPSC lines. In the described assay, cells are dissociated and seeded as single cells onto 96-well plates coated with fibronectin at three different concentrations. This method allows assessment of cell number, proliferation, morphology and intercellular adhesion. Altogether, our strategy delivers robust quantification of phenotypic diversity within complex cell populations facilitating future identification of the genetic, biological and technical determinants of variance. Approaches such as the one described can be used to benchmark iPSCs from multiple donors and create novel platforms that can readily be tailored for disease modelling and drug discovery.


Subject(s)
Fibronectins/chemistry , High-Throughput Screening Assays , Induced Pluripotent Stem Cells/ultrastructure , Molecular Imaging/methods , Phenotype , Amino Acid Sequence , Cell Adhesion , Cell Differentiation , Cell Line , Feeder Cells/cytology , Humans , Induced Pluripotent Stem Cells/metabolism , Molecular Sequence Data , Peptides/chemistry
4.
Biochem Eng J ; 77(100): 246-257, 2013 Aug 15.
Article in English | MEDLINE | ID: mdl-23956681

ABSTRACT

The use of embryonic stem cells (ESCs) and their progeny in high throughput drug discovery and regenerative medicine will require production at scale of well characterized cells at an appropriate level of purity. The adoption of automated bioprocessing techniques offers the possibility to overcome the lack of consistency and high failure rates seen with current manual protocols. To build the case for increased use of automation this work addresses the key question: "can an automated system match the quality of a highly skilled and experienced person working manually?" To answer this we first describe an integrated automation platform designed for the 'hands-free' culture and differentiation of ESCs in microwell formats. Next we outline a framework for the systematic investigation and optimization of key bioprocess variables for the rapid establishment of validatable Standard Operating Procedures (SOPs). Finally the experimental comparison between manual and automated bioprocessing is exemplified by expansion of the murine Oct-4-GiP ESC line over eight sequential passages with their subsequent directed differentiation into neural precursors. Our results show that ESCs can be effectively maintained and differentiated in a highly reproducible manner by the automated system described. Statistical analysis of the results for cell growth over single and multiple passages shows up to a 3-fold improvement in the consistency of cell growth kinetics with automated passaging. The quality of the cells produced was evaluated using a panel of biological markers including cell growth rate and viability, nutrient and metabolite profiles, changes in gene expression and immunocytochemistry. Automated processing of the ESCs had no measurable negative effect on either their pluripotency or their ability to differentiate into the three embryonic germ layers. Equally important is that over a 6-month period of culture without antibiotics in the medium, we have not had any cases of culture contamination. This study thus confirms the benefits of adopting automated bioprocess routes to produce cells for therapy and for use in basic discovery research.

5.
Biotechnol Lett ; 34(12): 2307-15, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22983716

ABSTRACT

The commercialisation of human embryonic stem cell derived cell therapies for large patient populations is reliant on both minimising expensive and variable manual-handling methods whilst realising economies of scale. The Quantum Cell Expansion System, a hollow fibre bioreactor (Terumo BCT), was used in a pilot study to expand 60 million human embryonic stem cells to 708 million cells. Further improvements can be expected with optimisation of media flow rates throughout the run to better control the cellular microenvironment. High levels of pluripotency marker expression were maintained on the bioreactor, with 97.7 % of cells expressing SSEA-4 when harvested.


Subject(s)
Bioreactors , Cell Culture Techniques/methods , Embryonic Stem Cells/physiology , Gene Expression , Humans , Stage-Specific Embryonic Antigens/biosynthesis
6.
Drug Healthc Patient Saf ; 13: 229-232, 2021.
Article in English | MEDLINE | ID: mdl-34849033

ABSTRACT

Prescribing patterns by primary care physicians concerning ophthalmic problems were studied using the iCAREdata, a database containing information from the out-of-hours care setting in the Flanders region of Belgium. A very high percentage of prescribed ophthalmic medication was topical antibiotics (89.4%) with tobramycin as the most prevalent substance and in clear conflict with the prevailing guidelines. In addition, a very substantial fraction of prescribed medication contained corticosteroids (30.4%). This is a potentially unsafe option within the technical infrastructure of this setting, which limits the diagnostic possibilities concerning viral infections or preexisting glaucoma risk. We conclude that more efforts are required to limit unnecessary and inappropriate prescribing behavior to further promote patient safety.

7.
Cell Rep ; 26(8): 2078-2087.e3, 2019 02 19.
Article in English | MEDLINE | ID: mdl-30784590

ABSTRACT

Large cohorts of human induced pluripotent stem cells (iPSCs) from healthy donors are a potentially powerful tool for investigating the relationship between genetic variants and cellular behavior. Here, we integrate high content imaging of cell shape, proliferation, and other phenotypes with gene expression and DNA sequence datasets from over 100 human iPSC lines. By applying a dimensionality reduction approach, Probabilistic Estimation of Expression Residuals (PEER), we extracted factors that captured the effects of intrinsic (genetic concordance between different cell lines from the same donor) and extrinsic (cell responses to different fibronectin concentrations) conditions. We identify genes that correlate in expression with intrinsic and extrinsic PEER factors and associate outlier cell behavior with genes containing rare deleterious non-synonymous SNVs. Our study, thus, establishes a strategy for examining the genetic basis of inter-individual variability in cell behavior.


Subject(s)
Biological Variation, Population , Induced Pluripotent Stem Cells/metabolism , Polymorphism, Single Nucleotide , Animals , Cell Differentiation , Cell Line , Cell Proliferation , Humans , Induced Pluripotent Stem Cells/cytology , Induced Pluripotent Stem Cells/physiology , Mice , Phenotype , Transcriptome
8.
Front Pharmacol ; 5: 150, 2014.
Article in English | MEDLINE | ID: mdl-25071572

ABSTRACT

Self-renewing stem cell populations are increasingly considered as resources for cell therapy and tools for drug discovery. Human pluripotent stem (hPS) cells in particular offer a virtually unlimited reservoir of homogeneous cells and can be differentiated toward diverse lineages. Many diseases show impairment in self-renewal or differentiation, abnormal lineage choice or other aberrant cell behavior in response to chemical or physical cues. To investigate these responses, there is a growing interest in the development of specific assays using hPS cells, artificial microenvironments and high content analysis. Several hurdles need to be overcome that can be grouped into three areas: (i) availability of robust, homogeneous, and consistent cell populations as a starting point; (ii) appropriate understanding and use of chemical and physical microenvironments; (iii) development of assays that dissect the complexity of cell populations in tissues while mirroring specific aspects of their behavior. Here we review recent progress in the culture of hPS cells and we detail the importance of the environment surrounding the cells with a focus on synthetic material and suitable high content analysis approaches. The technologies described, if properly combined, have the potential to create a paradigm shift in the way diseases are modeled and drug discovery is performed.

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