Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment

Cytometry Part A

Volumn 75, Issue 7, 2009, Pages 569-583

  Gertych, Arkadiusz ^a   Wawrowsky, Kolja A ^a   Lindsley, Erik ^a   Vishnevsky, Eugene ^a   Farkas, Daniel L ^a   Tajbakhsh, Jian ^a  

^a CEDARS SINAI MEDICAL CENTER   (United States)

Author keywords

3D nuclear mapping; Cell population homogeneity; Cytomics; Dissimilarity; DNA methylation; Epigenetic drug screening; High content analysis; Image cytometry; Kullback Leibler's divergence; Watershed

Indexed keywords

5 METHYLCYTOSINE; AZACITIDINE; CELL NUCLEUS DNA; CYTOSINE; INDOLE DERIVATIVE; OCTREOTIDE;

ANTIBODY SPECIFICITY; ARTICLE; CELL NUCLEUS; CELL POPULATION; COMPUTER PROGRAM; DEMETHYLATION; DNA DEMETHYLATION; DNA METHYLATION; DRUG SCREENING; EPIGENETICS; IMMUNOFLUORESCENCE TEST; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

5-METHYLCYTOSINE; ANIMALS; ANTIMETABOLITES, ANTINEOPLASTIC; ANTINEOPLASTIC AGENTS, HORMONAL; AZACITIDINE; CELL LINE; CELL NUCLEUS; DNA; DNA METHYLATION; DRUG EVALUATION, PRECLINICAL; IMAGING, THREE-DIMENSIONAL; INDOLES; MICE; OCTREOTIDE; PITUITARY GLAND; SOFTWARE;

EID: 67649460755     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20740     Document Type: Article

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