Describes the development of CellNet, its comparison to clustering for assessing cell state, and its application to assess the relative quality of cells derivatives of reprogramming, directly differentiation, primed conversion, and direct conversion:
*Cahan P, *Li H, *Morris S, Lummertz da Rocha E, #Daley GQ, #Collins JJ. 2014. CellNet: Network Biology Applied to Stem Cell Engineering. Cell 2014. PMID: 25126793
Describes two sucessful applications of CellNet: (1) to improve the macrophage functionality of directly converted macrophages from the C10 pre-B-cell line and, (2) the discovery and validation of an unanticipated hindgut potential of hepatocytes induced from fibroblasts:
*Morris SA, *Cahan P, *Li H, Lu Y-F, Zhao AM, Sahalie J, San Roman AK, Shivdasani RA, Collins JJ, Daley GQ. 2014. Enhancing Cellular Engineering through Network Biology. Cell 2014. PMID: 25126792

This research was supported by NIDDK (K01DK096013 and R24DK092760), NHLBI Progenitor Cell Biology Consortium (UO1-HL100001), NHGRI (P50HG005550), and HHMI.