Engineering cell fate: Applying synthetic biology to cellular reprogramming

Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study disease. However, low efficiency and limited maturity have li...

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Main Authors: Wang, Nathan B, Beitz, Adam M, Galloway, Katie
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/133290
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author Wang, Nathan B
Beitz, Adam M
Galloway, Katie
author_facet Wang, Nathan B
Beitz, Adam M
Galloway, Katie
author_sort Wang, Nathan B
collection MIT
description Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study disease. However, low efficiency and limited maturity have limited the adoption of in vitro-derived cellular models. To overcome these limitations and improve mechanistic understanding of cellular reprogramming, a host of synthetic biology tools have been deployed. Recent synthetic biology approaches have advanced reprogramming by tackling three significant challenges to reprogramming: delivery of reprogramming factors, epigenetic roadblocks, and latent donor identity. In addition, emerging insight from the molecular systems biology of reprogramming reveal how systems-level drivers of reprogramming can be harnessed to further advance reprogramming technologies. Furthermore, recently developed synthetic biology tools offer new modes for engineering cell fate.
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spelling mit-1721.1/1332902021-10-28T03:16:15Z Engineering cell fate: Applying synthetic biology to cellular reprogramming Wang, Nathan B Beitz, Adam M Galloway, Katie Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study disease. However, low efficiency and limited maturity have limited the adoption of in vitro-derived cellular models. To overcome these limitations and improve mechanistic understanding of cellular reprogramming, a host of synthetic biology tools have been deployed. Recent synthetic biology approaches have advanced reprogramming by tackling three significant challenges to reprogramming: delivery of reprogramming factors, epigenetic roadblocks, and latent donor identity. In addition, emerging insight from the molecular systems biology of reprogramming reveal how systems-level drivers of reprogramming can be harnessed to further advance reprogramming technologies. Furthermore, recently developed synthetic biology tools offer new modes for engineering cell fate. 2021-10-27T19:51:57Z 2021-10-27T19:51:57Z 2020 2021-06-07T18:22:42Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133290 en 10.1016/J.COISB.2020.09.002 Current Opinion in Systems Biology Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Elsevier BV Elsevier
spellingShingle Wang, Nathan B
Beitz, Adam M
Galloway, Katie
Engineering cell fate: Applying synthetic biology to cellular reprogramming
title Engineering cell fate: Applying synthetic biology to cellular reprogramming
title_full Engineering cell fate: Applying synthetic biology to cellular reprogramming
title_fullStr Engineering cell fate: Applying synthetic biology to cellular reprogramming
title_full_unstemmed Engineering cell fate: Applying synthetic biology to cellular reprogramming
title_short Engineering cell fate: Applying synthetic biology to cellular reprogramming
title_sort engineering cell fate applying synthetic biology to cellular reprogramming
url https://hdl.handle.net/1721.1/133290
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AT beitzadamm engineeringcellfateapplyingsyntheticbiologytocellularreprogramming
AT gallowaykatie engineeringcellfateapplyingsyntheticbiologytocellularreprogramming