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Let it RE : IN : integrating experimental observations to predict pluripotency network behaviour
Author(s) -
Rackham Owen JL,
Polo Jose M
Publication year - 2018
Publication title -
the embo journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.484
H-Index - 392
eISSN - 1460-2075
pISSN - 0261-4189
DOI - 10.15252/embj.2018101133
Subject(s) - biomedicine , library science , biology , medical school , bioinformatics , computer science , medical education , medicine
Our ability to reprogram cells and induce transitions between states has fast become a commonplace tool, but our understanding of the underlying processes and capacity to predict these is still relatively rudimentary. A new article by Dunn et al ([Dunn SJ, 2019]) combines a computational reasoning approach with experimental observation to construct a network‐level understanding of the transcription factors instructing acquisition of naïve pluripotency during reprogramming.