Molecular Biology Reports

, Volume 45, Issue 3, pp 309–314 | Cite as

Comparative in silico profiling of epigenetic modifiers in human tissues

Short Communication

Abstract

The technology of tissue differentiation from human pluripotent stem cells has attracted attention as a useful resource for regenerative medicine, disease modeling and drug development. Recent studies have suggested various key factors and specific culture methods to improve the successful tissue differentiation and efficient generation of human induced pluripotent stem cells. Among these methods, epigenetic regulation and epigenetic signatures are regarded as an important hurdle to overcome during reprogramming and differentiation. Thus, in this study, we developed an in silico epigenetic panel and performed a comparative analysis of epigenetic modifiers in the RNA-seq results of 32 human tissues. We demonstrated that an in silico epigenetic panel can identify epigenetic modifiers in order to overcome epigenetic barriers to tissue-specific differentiation.

Keywords

RNA-seq In silico epigenetic panel Human tissue 

Notes

Acknowledgements

This work was supported by the grant from the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2017R1A2B4003757, 2018M3A9H3023077), the Technology Innovation Program (No. 10063334) funded by the Ministry of Trade, Industry and Energy (MI, Korea), and the KRIBB Research Initiative Program. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Stem Cell Research CenterKorea Research Institute of Bioscience and BiotechnologyDaejeonRepublic of Korea
  2. 2.Rare Disease Research CenterKorea Research Institute of Bioscience and BiotechnologyDaejeonRepublic of Korea
  3. 3.Department of Functional GenomicsKorea University of Science and TechnologyDaejeonRepublic of Korea

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