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Series GSE59037 Query DataSets for GSE59037
Status Public on Aug 14, 2014
Title Dissecting engineered cell types and enhancing cell fate conversion via CellNet
Organism Mus musculus
Experiment type Expression profiling by array
Summary Engineering clinically relevant cells in vitro holds promise for regenerative medicine, but most protocols fail to faithfully recapitulate target cell properties. To address this, we developed CellNet, a network biology platform that determines whether engineered cells are equivalent to their target tissues, diagnoses aberrant gene regulatory networks, and prioritizes candidate transcriptional regulators to enhance engineered conversions. Using CellNet, we improved B cell to macrophage conversion, transcriptionally and functionally, by knocking down predicted B cell regulators. Analyzing conversion of fibroblasts to induced hepatocytes (iHeps), CellNet revealed an unexpected intestinal program regulated by the master regulator Cdx2. We observed functional engraftment of mouse colon by iHeps, thereby establishing their broader potential as endoderm progenitors and demonstrating direct conversion of fibroblasts into intestinal epithelium. Our studies illustrate how CellNet can be employed to improve direct conversion and to uncover unappreciated properties of engineered cells.
Overall design 15 samples
Contributor(s) Li H, Cahan P, Morris S, Delay GQ, Collins JJ
Citation(s) 25126792
Submission date Jul 02, 2014
Last update date Feb 11, 2019
Contact name Hu Li
Organization name Mayo Clinic
Department Molecular Pharmacology & Experimental Therapeutics
Lab Systems Biology and Pharmacology
Street address 200 First Street, Gonda Building G19-408
City Rochester
State/province MN
ZIP/Postal code 55904
Country USA
Platforms (1)
GPL1261 [Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array
Samples (25)
GSM1424768 Scramble_1
GSM1424769 Scramble_2
GSM1424770 Ebf1 Knockdown_1
BioProject PRJNA254172

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE59037_RAW.tar 92.2 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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