Recent Broad Publications

Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors.
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Commentary: Insights from across diagnostic boundaries: ADHD in the RDoC era - a commentary on Scerif and Baker ().
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Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.
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BRCA1 Recruitment to Transcriptional Pause Sites Is Required for R-Loop-Driven DNA Damage Repair.
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Oncotator: Cancer Variant Annotation Tool.
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Scientific Publications

Publication Type	Journal Article
Authors	Cherry, AB, and Daley GQ
Abstract	Although development leads unidirectionally toward more restricted cell fates, recent work in cellular reprogramming has proven that one cellular identity can strikingly convert into another, promising countless applications in biomedical research and paving the way for modeling diseases with patient-derived stem cells. To date, there has been little discussion of which disease models are likely to be most informative. Here, we review evidence demonstrating that, because environmental influences and epigenetic signatures are largely erased during reprogramming, patient-specific models of diseases with strong genetic bases and high penetrance are likely to prove most informative in the near term. We also discuss the implications of the new reprogramming paradigm in biomedicine and outline how reprogramming of cell identities is enhancing our understanding of cell differentiation and prospects for cellular therapies and in vivo regeneration.
Year of Publication	2012
Journal	Cell
Volume	148
Issue	6
Pages	1110-1122
Date Published (YYYY/MM/DD)	2012/03/16
ISSN Number	0092-8674
DOI	10.1016/j.cell.2012.02.031
PubMed	http://www.ncbi.nlm.nih.gov/pubmed/22424223?dopt=Abstract