The role of protein kinase-C theta in control of epithelial to mesenchymal transition and cancer stem cell formation

Genomics Data

Volumn 3, Issue , 2015, Pages 28-32

  Zafar, Anjum ^a   Hardy, Kristine ^a   Wu, Fan ^a   Li, Jasmine ^a,b   Rao, Sudha ^a  

^a UNIVERSITY OF CANBERRA   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

ChIP seq; Microarrays; Stem cell

Indexed keywords

PROTEIN KINASE C THETA;

ARTICLE; CANCER STEM CELL; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; EPITHELIAL MESENCHYMAL TRANSITION; FEMALE; GENE EXPRESSION; GENE INDUCTION; GENE SEQUENCE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC TRANSFECTION; HUMAN; HUMAN CELL; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; PHENOTYPE; PRIORITY JOURNAL; REAL TIME POLYMERASE CHAIN REACTION; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION; TRANSCRIPTOMICS;

EID: 84922938011     PISSN: 22135960     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gdata.2014.11.002     Document Type: Article

References (6)

1. Anders S., Pyl P.T., Huber W. HTSeq - a python framework to work with high-throughput sequencing data. Bioinformatics 2014, 10.1093/bioinformatics/btu638.
2. Cairns J., Spyrou C., Stark R., Smith M.L., Lynch A.G., Tavare S. BayesPeak - an R package for analysing ChIP-seq data. Bioinformatics 2011, 27:713-714.
3. Langmead B., Salzberg S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 2012, 9:357-359.
4. Rashid N.U., Giresi P.G., Ibrahim J.G., Sun W., Lieb J.D. ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions. Genome Biol. 2011, 12:R67.
5. Zafar A., Wu F., Hardy K., Li J., Tu W.J., McCuaig R., Harris J., Khanna K.K., Attema J., Gregory P.A., Goodall G.J., Harrington K., Dahlstrom J.E., Boulding T., Madden R., Tan A., Milburn P.J., Rao S. Chromatinized PKC- directly regulates inducible genes in epithelial to mensenchymal transition and breast cancer stem cells. Mol. Cell. Biol. 2014, 34:2961-2980.
6. Zhang Y., Liu T., Meyer C.A., Eeckhoute J., Johnson D.S., Bernstein B.E., Nusbaum C., Myers R.M., Brown M., Li W., Liu X.S. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008, 9:R137.