High-efficiency cellular reprogramming with microfluidics
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE59534 | GEO | 2016/04/10
SECONDARY ACCESSION(S): PRJNA255510
REPOSITORIES: GEO
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Project description:Human fibroblasts can be induced into pluripotent stem cells (iPS cells), but the reprogramming efficiency is quite low. Here, we screened a panel of candidate factors in the presence of OCT4, SOX2, KLF4 and c-MYC in an effort to improve the reprogramming efficiency from human adult fibroblasts. We found that p53 siRNA and UTF1 enhanced the efficiency of iPS cell generation up to 100-fold, even when the oncogene c-MYC was removed from the combinations. We further demonstrated that by using a novel combination of the four factors OCT4, SOX2, KLF4 and UTF1, iPS cells could be generated at a frequency at least 10 times higher than using the original four reprogramming factors without c-MYC. The iPS cells generated in this work have a similar gene expression profile and differentiation potential as human embryonic stem (hES) cells. In conclusion, two novel supporting factors that increase the efficiency of direct reprogramming have been identified, and a more-efficient method for the generation of human iPS cells has been developed in the absence of the oncogene c-MYC. Keywords: cell type comparison Total RNA from hFSF, hAFF, hES cells (H1, H7) and 7 established iPS cell lines were labeled with Cy5, hybridized to a human Oligo Microarray (Phalanx Human Whole Genome OneArray™, Phalanx Biotech) according to the manufacturer's protocol. Three technical repetitions were performed. After hybridization, arrays were scanned using GenePix 4000B scanner (Molecular Devices) and processed using the GenePix Pro 6.0 software (Molecular Devices). After removing control probes, a 14/33 presence call (SNR>=5 and foreground-background>0) was used to filter probes for the 33 microarrays, resulting in 12311 probes for further quantile normalization.
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Project description:Human fibroblasts can be induced into pluripotent stem cells (iPS cells), but the reprogramming efficiency is quite low. Here, we screened a panel of candidate factors in the presence of OCT4, SOX2, KLF4 and c-MYC in an effort to improve the reprogramming efficiency from human adult fibroblasts. We found that p53 siRNA and UTF1 enhanced the efficiency of iPS cell generation up to 100-fold, even when the oncogene c-MYC was removed from the combinations. We further demonstrated that by using a novel combination of the four factors OCT4, SOX2, KLF4 and UTF1, iPS cells could be generated at a frequency at least 10 times higher than using the original four reprogramming factors without c-MYC. The iPS cells generated in this work have a similar gene expression profile and differentiation potential as human embryonic stem (hES) cells. In conclusion, two novel supporting factors that increase the efficiency of direct reprogramming have been identified, and a more-efficient method for the generation of human iPS cells has been developed in the absence of the oncogene c-MYC. Keywords: cell type comparison
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Project description:Human induced pluripotent stem cells (hiPSCs) are useful as a tool for reproducing neural development in vitro. However, each hiPSC line has a different ability to differentiate into specific lineages, as known as differentiation propensity, resulting in reduced reproducibility and increased time and cost requirements for research use. To overcome this issue, we searched for predictive signatures of neural differentiation propensity of hiPSCs using DNA methylation which is the main modulator of cellular properties. We obtained 32 lines of hiPSC and its comprehensive DNA methylation data by Infinium MethylationEPIC beadchip. To assess the neural differentiation efficiency of these hiPSCs, we measured the percentage of PAX6-positive cells on day 7 of neural stem cell induction by the dual-SMAD inhibition protocol. Using DNA methylation data of undifferentiated hiPSCs and their measured differentiation efficiency into neural stem cells as the set of data, and HSIC Lasso, a machine learning-based nonlinear feature selection method, we attemted to identify neural differentiation associated differentially methylated sites. Epigenome-wide unsupervised clustering could not distinguish between hiPSCs with varying differentiation efficiency. On the other hand, HSIC Lasso identified 62 probes that can explain the neural differentiation efficiency of hiPSCs. Selected features by HSIC Lasso were particularly enriched within the 3 Mbp on chromosome 5, harboring the IRX2, C5orf38, and IRX1 genes. Within this region, DNA methylation rates were correlated with neural differentiation efficiency particular to female hiPSCs and negatively correlated with gene expression of the IRX1/2 genes. In addition, forced expression of the IRX1/2 genes impaired the neural differentiation ability of hiPSCs. We have shown for the first time that DNA methylation state on the IRX1/2 genes of hiPSCs is predictive biomarker of their ability for neural differentiation. The predictive markers for neural differentiation efficiency identified in this study can be useful for selection of suitable undifferetiated hiPSCs prior to differentiation induction.
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