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Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
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Automatic identification of small molecules that promote cell conversion and reprogramming.

Francesco Napolitano1, Trisevgeni Rapakoulia2, Patrizia Annunziata3

  • 1Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli (NA) 80078, Italy; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.

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|April 23, 2021
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Summary

DECCODE, a new computational method, identifies small molecules for efficient cell reprogramming and conversion. This approach enhances regenerative medicine and drug discovery by finding safe, rapid, and reversible cell fate control mechanisms.

Keywords:
bioinformaticscell conversionreprogrammingsmall molecules

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Area of Science:

  • Biotechnology
  • Computational Biology
  • Stem Cell Research

Background:

  • Controlling cell fate is crucial for regenerative medicine, drug discovery, and basic research.
  • Transcription factor-based cell reprogramming methods often suffer from low efficiency.
  • Small molecules offer a promising alternative for safe, rapid, and reversible cell conversion.

Purpose of the Study:

  • To develop an unbiased computational method for identifying small molecules that enhance cell reprogramming and conversion.
  • To provide a tool for discovering novel therapeutic strategies in regenerative medicine and drug discovery.

Main Methods:

  • Developed DECCODE, a computational method that analyzes transcriptional data.
  • Matched drug-induced transcriptional profiles against primary cell profiles.
  • Validated DECCODE using human induced pluripotent stem cells for reprogramming enhancement.

Main Results:

  • DECCODE successfully prioritized drugs and drug combinations that enhance cell reprogramming.
  • The method demonstrated effectiveness in identifying molecules for cell fate control.
  • Predictions for cell conversion were generated for 145 cell types using single drugs and combinations.

Conclusions:

  • DECCODE is an effective tool for identifying small molecules that facilitate cell reprogramming and conversion.
  • This computational approach has significant implications for advancing regenerative medicine and drug discovery.
  • DECCODE provides a valuable resource for researchers exploring cell fate manipulation across various cell types.