Thermodynamically inspired classifier for molecular phenotypes of health and disease

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 48, 2013, Pages 19181-19182

  Facciotti, Marc T ^a  

^a University of California Davis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA 141; SMALL INTERFERING RNA; TRANSCRIPTOME;

ANALYTIC METHOD; BREAST CANCER; CANCER CELL; CANCER CELL CULTURE; CANCER RESEARCH; CARCINOMA; CELL METABOLISM; CELL PROLIFERATION; DNA SEQUENCE; ENTROPY; EPIGENETICS; FOLLOW UP; GENE EXPRESSION PROFILING; GENE SILENCING; GENE TARGETING; GENETIC CODE; HOMEOSTASIS; IN VITRO STUDY; INFORMATION PROCESSING; LUNG CANCER; MOLECULAR GENETICS; MOLECULAR TYPING; NATURAL SCIENCE; NOTE; OVARY CANCER; PERSONALIZED MEDICINE; PHENOTYPE; PHENOTYPIC VARIATION; PRIORITY JOURNAL; PROSTATE CARCINOMA; PROTEOMICS; THERMODYNAMICS; TRANSCRIPTOMICS;

GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MICRORNAS; NEOPLASMS; RNA, MESSENGER; TUMOR MARKERS, BIOLOGICAL;

EID: 84888355617     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1317876110     Document Type: Note

References (14)

1. Colombo PE, Milanezi F, Weigelt B, Reis-Filho JS (2011) Microarrays in the 2010s: The contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction. Breast Cancer Res 13(3):212.
2. Guiu S, et al. (2012) Molecular subclasses of breast cancer: How do we define them? The IMPAKT 2012 Working Group Statement. Ann Oncol 23(12): 2997-3006.
3. Ioannidis JP, et al. (2009) Repeatability of published microarray gene expression analyses. Nat Genet 41(2): 149-155.
4. Chang K, et al.; Cancer Genome Atlas Research Network; Genome Characterization Center; Genome Data Analysis Center; Sequencing Center; Data Coordinating Center; Tissue Source Site; Biospecimen Core Resource Center; National Cancer Institute/National Human Genome Research Institute Project Team; Collaborators (2013) The cancer genome atlas pan-cancer analysis project. Nat Genet 45(10): 1113-1120.
5. Care MA, et al. (2013) A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. PLoS ONE 8(2): e55895.
6. Zadran S, Remacle F, Levine RD (2013) miRNA and mRNA cancer signatures determined by analysis of expression levels in large cohorts of patients. Proc Natl Acad Sci USA 110: 19160-19165.
7. Levine RD, Bernstein RB (1974) Energy disposal and energy consumption in elementary chemical reactions. Information theoretic approach. Acc Chem Res 7(12): 393-400.
8. Remacle F, Kravchenko-Balasha N, Levitzki A, Levine RD (2010) Information-theoretic analysis of phenotype changes in early stages of carcinogenesis. Proc Natl Acad Sci USA 107(22): 10324-10329.
9. Kravchenko-Balasha N, et al. (2012) On a fundamental structure of gene networks in living cells. Proc Natl Acad Sci USA 109(12): 4702-4707.
10. Gross A, Li CM, Remacle F, Levine RD (2013) Free energy rhythms in Saccharomyces cerevisiae: A dynamic perspective with implications for ribosomal biogenesis. Biochemistry 52(9): 1641-1648.
11. Wang X, Ling C, Bai Y, Zhao J (2011) MicroRNA-206 is associated with invasion and metastasis of lung cancer. Anat Rec (Hoboken) 294(1): 88-92.
12. Zhao L, et al. (2012) MiRNA expression analysis of cancerassociated fibroblasts and normal fibroblasts in breast cancer. Int J Biochem Cell Biol 44(11): 2051-2059.
13. McAdams HH, Arkin A (1998) Simulation of prokaryotic genetic circuits. Annu Rev Biophys Biomol Struct 27: 199-224.
14. Friedman N, Cai L, Xie XS (2006) Linking stochastic dynamics to population distribution: An analytical framework of gene expression. Phys Rev Lett 97(16):168302.