4.7 Article Data Paper

Combined RNA-seq and RAT-seq mapping of long noncoding RNAs in pluripotent reprogramming

Journal

SCIENTIFIC DATA
Volume 5, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/sdata.2018.255

Keywords

-

Funding

  1. National Natural Science Foundation of China [31430021, 31871297, 81372835, 81670143, 81672275]
  2. National Key RAMP
  3. D Program of China [2018YFA0106902]
  4. National Basic Research Program of China (973 Program) [2015CB943303]
  5. Natural Science Foundation of Jilin Science and Technique [20180101117JC]
  6. California Institute of Regenerative Medicine (CIRM) [RT2-01942]
  7. Jilin Science and Technique International Collaboration [20130413010GH]
  8. Key Project of Chinese Ministry of Education [311015]
  9. Nation Key Research and Development Program of China [2016YFC13038000]
  10. Natural Science Foundation of Jilin Province [20150101176JC]
  11. Research on Chronic Noncommunicable Diseases Prevention and Control of National Ministry of Science and Technology [2016YFC1303804]
  12. National Health Development Planning Commission Major Disease Prevention and Control of Science and Technology Plan of Action, Cancer Prevention and Control [ZX-07-C2016004]
  13. Department of Veterans Affairs [BX002905]
  14. Veterans Affairs [I01BX002905] Funding Source: NIH RePORTER

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Pluripotent stem cells hold great investigative potential for developmental biology and regenerative medicine. Recent studies suggest that long noncoding RNAs (lncRNAs) may function as key regulators of the maintenance and the lineage differentiation of stem cells. However, the underlying mechanisms by which lncRNAs affect the reprogramming process of somatic cells into pluripotent cells remain largely unknown. Using fibroblasts and induced pluripotent stem cells (iPSCs) at different stages of reprogramming, we performed RNA transcriptome sequencing (RNA-Seq) to identify lncRNAs that are differentially-expressed in association with pluripotency. An RNA reverse transcription-associated trap sequencing (RAT-seq) approach was then utilized to generate a database to map the regulatory element network for lncRNA candidates. Integration of these datasets can facilitate the identification of functional lncRNAs that are associated with reprogramming. Identification of lncRNAs that regulate pluripotency may lead to new strategies for enhancing iPSC induction in regenerative medicine.

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