Literature DB >> 23873656

A general strategy for cellular reprogramming: the importance of transcription factor cross-repression.

Isaac Crespo1, Antonio Del Sol.   

Abstract

Transcription factor cross-repression is an important concept in cellular differentiation. A bistable toggle switch constitutes a molecular mechanism that determines cellular commitment and provides stability to transcriptional programs of binary cell fate choices. Experiments support that perturbations of these toggle switches can interconvert these binary cell fate choices, suggesting potential reprogramming strategies. However, more complex types of cellular transitions could involve perturbations of combinations of different types of multistable motifs. Here, we introduce a method that generalizes the concept of transcription factor cross-repression to systematically predict sets of genes, whose perturbations induce cellular transitions between any given pair of cell types. Furthermore, to our knowledge, this is the first method that systematically makes these predictions without prior knowledge of potential candidate genes and pathways involved, providing guidance on systems where little is known. Given the increasing interest of cellular reprogramming in medicine and basic research, our method represents a useful computational methodology to assist researchers in the field in designing experimental strategies. © AlphaMed Press.

Keywords:  Cellular reprogramming; Cross-antagonistic motif; Cross-repression; Dedifferentiation; Differentiation; Network stability; Positive circuit; Retroactivity; Transdifferentiation

Mesh:

Substances:

Year:  2013        PMID: 23873656     DOI: 10.1002/stem.1473

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  23 in total

1.  Identification of bifurcation transitions in biological regulatory networks using Answer-Set Programming.

Authors:  Louis Fippo Fitime; Olivier Roux; Carito Guziolowski; Loïc Paulevé
Journal:  Algorithms Mol Biol       Date:  2017-07-20       Impact factor: 1.405

2.  An integrative method to predict signalling perturbations for cellular transitions.

Authors:  Gaia Zaffaroni; Satoshi Okawa; Manuel Morales-Ruiz; Antonio Del Sol
Journal:  Nucleic Acids Res       Date:  2019-07-09       Impact factor: 16.971

3.  Reprogramming multistable monotone systems with application to cell fate control.

Authors:  Rushina Shah; Domitilla Del Vecchio
Journal:  IEEE Trans Netw Sci Eng       Date:  2020-07-09

Review 4.  Mathematical models of cell phenotype regulation and reprogramming: Make cancer cells sensitive again!

Authors:  David J Wooten; Vito Quaranta
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2017-04-07       Impact factor: 10.680

5.  Computational Methods to Identify Cell-Fate Determinants, Identity Transcription Factors, and Niche-Induced Signaling Pathways for Stem Cell Research.

Authors:  Muhammad Ali; Mariana Messias Ribeiro; Antonio Del Sol
Journal:  Methods Mol Biol       Date:  2022

6.  Low-dose 6-bromoindirubin-3'-oxime induces partial dedifferentiation of endothelial cells to promote increased neovascularization.

Authors:  Erin E Kohler; Jugajyoti Baruah; Norifumi Urao; Masuko Ushio-Fukai; Tohru Fukai; Ishita Chatterjee; Kishore K Wary
Journal:  Stem Cells       Date:  2014-06       Impact factor: 6.277

Review 7.  Computational Tools for Stem Cell Biology.

Authors:  Qin Bian; Patrick Cahan
Journal:  Trends Biotechnol       Date:  2016-06-15       Impact factor: 19.536

8.  A predictive computational framework for direct reprogramming between human cell types.

Authors:  Owen J L Rackham; Jaber Firas; Hai Fang; Matt E Oates; Melissa L Holmes; Anja S Knaupp; Harukazu Suzuki; Christian M Nefzger; Carsten O Daub; Jay W Shin; Enrico Petretto; Alistair R R Forrest; Yoshihide Hayashizaki; Jose M Polo; Julian Gough
Journal:  Nat Genet       Date:  2016-01-18       Impact factor: 38.330

Review 9.  Computational methods for direct cell conversion.

Authors:  Uma S Kamaraj; Julian Gough; Jose M Polo; Enrico Petretto; Owen J L Rackham
Journal:  Cell Cycle       Date:  2016-10-13       Impact factor: 4.534

10.  Predicting involvement of polycomb repressive complex 2 in direct conversion of mouse fibroblasts into induced neural stem cells.

Authors:  Moein Yaqubi; Abdulshakour Mohammadnia; Hossein Fallahi
Journal:  Stem Cell Res Ther       Date:  2015-03-21       Impact factor: 6.832

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