2014
DOI: 10.1016/j.cell.2014.07.020
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CellNet: Network Biology Applied to Stem Cell Engineering

Abstract: SUMMARY Somatic cell reprogramming, directed differentiation of pluripotent stem cells, and direct conversions between differentiated cell lineages represent powerful approaches to engineer cells for research and regenerative medicine. We have developed CellNet, a network biology platform that more accurately assesses the fidelity of cellular engineering than existing methodologies and generates hypotheses for improving cell derivations. Analyzing expression data from 56 published reports, we found that cells … Show more

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Cited by 495 publications
(546 citation statements)
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References 56 publications
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“…Based on bulk and single-cell RNA expression studies, we concluded that the hepatocyte-specific transcriptional programme is robustly silenced in iN cells [27]. A more recent survey of various reprogrammed cell populations with the aspiration to measure the authenticity of target cell types came to the conclusion that the degree of transcriptional similarity to target cell types varies between different reprogrammed cells, which is mostly driven by non-proper silencing of the donor cell programmes highlighting the importance of transcriptional repression in reprogramming [28].…”
Section: Induced Neuronal Cells: Direct Lineage Conversion Between DImentioning
confidence: 99%
“…Based on bulk and single-cell RNA expression studies, we concluded that the hepatocyte-specific transcriptional programme is robustly silenced in iN cells [27]. A more recent survey of various reprogrammed cell populations with the aspiration to measure the authenticity of target cell types came to the conclusion that the degree of transcriptional similarity to target cell types varies between different reprogrammed cells, which is mostly driven by non-proper silencing of the donor cell programmes highlighting the importance of transcriptional repression in reprogramming [28].…”
Section: Induced Neuronal Cells: Direct Lineage Conversion Between DImentioning
confidence: 99%
“…Furthermore, the current training data derive largely from parenchymal tissues and whole organs, which encompass many cell types, while most engineered cells are acclimated to culture in a dish. Despite these limitations, when primary cells are cultured from whole organs or tissues, purified, and then subjected to analysis via CellNet, the de-differentiation effects of cell culture and the heterogeneity of the target tissue does not compromise the utility of CellNet as a robust classifier of a cell's identity [23]. CellNet will be augmented in future versions as transcriptional profiles become available for additional target cells and tissues at multiple stages of development.…”
Section: Cellnet: a Metric For Discerning Cell Identity And Enhancingmentioning
confidence: 99%
“…CellNet is a publicly available network-biology platform (http://cellnet. hms.harvard.edu/) written by Patrick Cahan with input from Hu Li and Edroaldo Lummertz de Rocha that has been tested extensively against both published datasets [23] and used within our own laboratory to enhance the in vitro production of several cell types [24]. At its core, CellNet is founded on the notion that cell-and tissue-specific gene rstb.royalsocietypublishing.org Phil.…”
Section: Cellnet: a Metric For Discerning Cell Identity And Enhancingmentioning
confidence: 99%
“…Fiftyfour (54) proteins that were present in two out of four cell lines with unique peptide and at least fivefold higher PSM (peptide spectral match) values than the corresponding control experiment were considered as UHRF2-interacting proteins (supplemental Table S4). Among them, DNMT1, HDAC1, PCNA, EHMT2 (G9a), RB1, and PCNP are annotated as UHRF2 interactors in the STRING PPI database.…”
Section: Uhrf2 Is Recruited To the Cdh1 Promoter For Epigeneticmentioning
confidence: 99%