HEY2, a Target of Mir-137, Indicates Poor Outcomes and Promotes Cell Proliferation and Migration in Hepatocellular Carcinoma
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MBT1 to Promote Repression of Notch Signaling Via Histone Demethylase
1 RBPJ/CBF1 interacts with L3MBTL3/MBT1 to promote repression 2 of Notch signaling via histone demethylase KDM1A/LSD1 3 Tao Xu1,†, Sung-Soo Park1,†, Benedetto Daniele Giaimo2,†, Daniel Hall3, Francesca Ferrante2, 4 Diana M. Ho4, Kazuya Hori4, Lucas Anhezini5,6, Iris Ertl7,8, Marek Bartkuhn9, Honglai Zhang1, 5 Eléna Milon1, Kimberly Ha1, Kevin P. Conlon1, Rork Kuick10, Brandon Govindarajoo11, Yang 6 Zhang11, Yuqing Sun1, Yali Dou1, Venkatesha Basrur1, Kojo S. J. Elenitoba-Johnson1, Alexey I. 7 Nesvizhskii1,11, Julian Ceron7, Cheng-Yu Lee5, Tilman Borggrefe2, Rhett A. Kovall3 & Jean- 8 François Rual1,* 9 1Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; 10 2Institute of Biochemistry, University of Giessen, Friedrichstrasse 24, 35392, Giessen, Germany; 11 3Department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati 12 College of Medicine, Cincinnati, OH 45267, USA; 13 4Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; 14 5Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109, USA; 15 6Current address: Instituto de Ciências Biológicas e Naturais, Universidade Federal do 16 Triângulo Mineiro, Uberaba, MG 38025-180, Brasil; 17 7Cancer and Human Molecular Genetics, Bellvitge Biomedical Research Institute, L’Hospitalet 18 de Llobregat, Barcelona, Spain; 19 8Current address: Department of Urology, Medical University of Vienna, Währiger Gürtel 18-20, 20 Vienna, Austria; 21 9Institute for Genetics, University of Giessen, Heinrich-Buff-Ring 58, 35390, Giessen, Germany; 22 10Center for Cancer Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 23 48109, USA; 24 11Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, 25 MI 48108, USA; 26 †These authors contributed equally to this work; 27 *Correspondence and requests for materials should be addressed to J.F.R. -
Notch Signaling in Breast Cancer: a Role in Drug Resistance
cells Review Notch Signaling in Breast Cancer: A Role in Drug Resistance McKenna BeLow 1 and Clodia Osipo 1,2,3,* 1 Integrated Cell Biology Program, Loyola University Chicago, Maywood, IL 60513, USA; [email protected] 2 Department of Cancer Biology, Loyola University Chicago, Maywood, IL 60513, USA 3 Department of Microbiology and Immunology, Loyola University Chicago, Maywood, IL 60513, USA * Correspondence: [email protected]; Tel.: +1-708-327-2372 Received: 12 September 2020; Accepted: 28 September 2020; Published: 29 September 2020 Abstract: Breast cancer is a heterogeneous disease that can be subdivided into unique molecular subtypes based on protein expression of the Estrogen Receptor, Progesterone Receptor, and/or the Human Epidermal Growth Factor Receptor 2. Therapeutic approaches are designed to inhibit these overexpressed receptors either by endocrine therapy, targeted therapies, or combinations with cytotoxic chemotherapy. However, a significant percentage of breast cancers are inherently resistant or acquire resistance to therapies, and mechanisms that promote resistance remain poorly understood. Notch signaling is an evolutionarily conserved signaling pathway that regulates cell fate, including survival and self-renewal of stem cells, proliferation, or differentiation. Deregulation of Notch signaling promotes resistance to targeted or cytotoxic therapies by enriching of a small population of resistant cells, referred to as breast cancer stem cells, within the bulk tumor; enhancing stem-like features during the process of de-differentiation of tumor cells; or promoting epithelial to mesenchymal transition. Preclinical studies have shown that targeting the Notch pathway can prevent or reverse resistance through reduction or elimination of breast cancer stem cells. However, Notch inhibitors have yet to be clinically approved for the treatment of breast cancer, mainly due to dose-limiting gastrointestinal toxicity. -
Rbpj-Dependent and -Independent Notch2 Signaling Regulates
RBPJ-DEPENDENT AND -INDEPENDENT NOTCH2 SIGNALING REGULATES CILIARY BODY DEVELOPMENT IN THE MOUSE EYE By Yi Zhou B.S., Tsinghua University, 2010 Submitted to the graduate degree program in Anatomy and Cell Biology and the Graduate Faculty of the University of Kansas in partial fulfillment of the requirements for the degree of Doctor of Philosophy. ________________________________ Ting Xie, Ph.D., Co-Chair ________________________________ William Kinsey, Ph.D., Co-Chair ________________________________ Dale Abrahamson, Ph.D. ________________________________ Peter Smith, Ph.D. ________________________________ Jerry Workman, Ph.D. Date Defended: Jan 6th, 2016 The Dissertation Committee for Yi Zhou certifies that this is the approved version of the following dissertation: RBPJ-DEPENDENT AND -INDEPENDENT NOTCH2 SIGNALING REGULATES CILIARY BODY DEVELOPMENT IN THE MOUSE EYE ________________________________ Ting Xie, Ph.D., Co-Chair ________________________________ William Kinsey, Ph.D., Co-Chair Date Approved: Jan 15th, 2016 ii ABSTRACT The ciliary body (CB) is a two-layered structure in the anterior eye, which is composed of the pigmented outer ciliary epithelium (OCE) and the non-pigmented inner ciliary epithelium (ICE). It is responsible for aqueous humor secretion and lens accommodation. Despite the important roles in maintaining normal eye functions, its development still remains poorly understood. The Notch signaling pathway is an evolutionarily conserved pathway that has diverse functions during tissue development and homeostasis. Canonical Notch signaling is mediated through the recombination signal binding protein for immunoglobulin kappa J region (RBPJ)-dependent transcription activation and repression. In this study, I have demonstrated that Notch2 and RBPJ are important regulators of CB development by conditionally deleting them in the developing CB. -
Vertebrate Hairy and Enhancer of Split Related Proteins: Transcriptional Repressors Regulating Cellular DiErentiation and Embryonic Patterning
Oncogene (2001) 20, 8342 ± 8357 ã 2001 Nature Publishing Group All rights reserved 0950 ± 9232/01 $15.00 www.nature.com/onc Vertebrate hairy and Enhancer of split related proteins: transcriptional repressors regulating cellular dierentiation and embryonic patterning Robert L Davis1 and David L Turner*,2 1Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, MA 02115, USA; 2Mental Health Research Institute and Department of Biological Chemistry, University of Michigan, Ann Arbor, Michigan, MI 48104-1687, USA The basic-helix-loop-helix (bHLH) proteins are a super- frogs, and zebra®sh. As we discuss below, the family of DNA-binding transcription factors that vertebrate hairy and E(spl) related proteins can be regulate numerous biological processes in both inverte- grouped into distinct subfamilies based on their brates and vertebrates. One family of bHLH transcrip- primary structures. However, all proteins in these tional repressors is related to the Drosophila hairy and subfamilies contain a conserved amino acid sequence Enhancer-of-split proteins. These repressors contain a known as the Orange domain located just C-terminal tandem arrangement of the bHLH domain and an to the bHLH domain. The tandem arrangement of the adjacent sequence known as the Orange domain, so we bHLH and Orange domains is the major structural refer to these proteins as bHLH-Orange or bHLH-O feature shared among these proteins, so for conve- proteins. Phylogenetic analysis reveals the existence of nience we refer to all hairy and E(spl) related proteins four bHLH-O subfamilies, with distinct, evolutionarily collectively as bHLH-Orange (bHLH-O) proteins. conserved features. -
Comprehensive Epigenome Characterization Reveals Diverse Transcriptional Regulation Across Human Vascular Endothelial Cells
Nakato et al. Epigenetics & Chromatin (2019) 12:77 https://doi.org/10.1186/s13072-019-0319-0 Epigenetics & Chromatin RESEARCH Open Access Comprehensive epigenome characterization reveals diverse transcriptional regulation across human vascular endothelial cells Ryuichiro Nakato1,2† , Youichiro Wada2,3*†, Ryo Nakaki4, Genta Nagae2,4, Yuki Katou5, Shuichi Tsutsumi4, Natsu Nakajima1, Hiroshi Fukuhara6, Atsushi Iguchi7, Takahide Kohro8, Yasuharu Kanki2,3, Yutaka Saito2,9,10, Mika Kobayashi3, Akashi Izumi‑Taguchi3, Naoki Osato2,4, Kenji Tatsuno4, Asuka Kamio4, Yoko Hayashi‑Takanaka2,11, Hiromi Wada3,12, Shinzo Ohta12, Masanori Aikawa13, Hiroyuki Nakajima7, Masaki Nakamura6, Rebecca C. McGee14, Kyle W. Heppner14, Tatsuo Kawakatsu15, Michiru Genno15, Hiroshi Yanase15, Haruki Kume6, Takaaki Senbonmatsu16, Yukio Homma6, Shigeyuki Nishimura16, Toutai Mitsuyama2,9, Hiroyuki Aburatani2,4, Hiroshi Kimura2,11,17* and Katsuhiko Shirahige2,5* Abstract Background: Endothelial cells (ECs) make up the innermost layer throughout the entire vasculature. Their phe‑ notypes and physiological functions are initially regulated by developmental signals and extracellular stimuli. The underlying molecular mechanisms responsible for the diverse phenotypes of ECs from diferent organs are not well understood. Results: To characterize the transcriptomic and epigenomic landscape in the vascular system, we cataloged gene expression and active histone marks in nine types of human ECs (generating 148 genome‑wide datasets) and carried out a comprehensive analysis with chromatin interaction data. We developed a robust procedure for comparative epigenome analysis that circumvents variations at the level of the individual and technical noise derived from sample preparation under various conditions. Through this approach, we identifed 3765 EC‑specifc enhancers, some of which were associated with disease‑associated genetic variations. -
A Single-Cell Transcriptome Atlas of the Mouse Glomerulus
RAPID COMMUNICATION www.jasn.org A Single-Cell Transcriptome Atlas of the Mouse Glomerulus Nikos Karaiskos,1 Mahdieh Rahmatollahi,2 Anastasiya Boltengagen,1 Haiyue Liu,1 Martin Hoehne ,2 Markus Rinschen,2,3 Bernhard Schermer,2,4,5 Thomas Benzing,2,4,5 Nikolaus Rajewsky,1 Christine Kocks ,1 Martin Kann,2 and Roman-Ulrich Müller 2,4,5 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Three different cell types constitute the glomerular filter: mesangial depending on cell location relative to the cells, endothelial cells, and podocytes. However, to what extent cellular heteroge- glomerular vascular pole.3 Because BP ad- neity exists within healthy glomerular cell populations remains unknown. aptation and mechanoadaptation of glo- merular cells are key determinants of kidney Methods We used nanodroplet-based highly parallel transcriptional profiling to function and dysregulated in kidney disease, characterize the cellular content of purified wild-type mouse glomeruli. we tested whether glomerular cell type sub- Results Unsupervised clustering of nearly 13,000 single-cell transcriptomes identi- sets can be identified by single-cell RNA fied the three known glomerular cell types. We provide a comprehensive online sequencing in wild-type glomeruli. This atlas of gene expression in glomerular cells that can be queried and visualized using technique allows for high-throughput tran- an interactive and freely available database. Novel marker genes for all glomerular scriptome profiling of individual cells and is cell types were identified and supported by immunohistochemistry images particularly suitable for identifying novel obtained from the Human Protein Atlas. -
Global Phosphoproteomic Profiling Reveals Perturbed Signaling in a Mouse Model of Dilated Cardiomyopathy
Global phosphoproteomic profiling reveals perturbed signaling in a mouse model of dilated cardiomyopathy Uros Kuzmanova,b,1, Hongbo Guoa,1, Diana Buchsbaumc, Jake Cosmec, Cynthia Abbasic, Ruth Isserlina, Parveen Sharmac, Anthony O. Gramolinib,c,2, and Andrew Emilia,2 aDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada M5S 3E1; bTed Rogers Centre for Heart Research, University of Toronto, Toronto, ON, Canada M5G 1M1; and cDepartment of Physiology, University of Toronto, Toronto, ON, Canada M5S 3E1 Edited by Christine E. Seidman, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, and approved August 30, 2016 (received for review April 27, 2016) + + Phospholamban (PLN) plays a central role in Ca2 homeostasis in kinase A (PKA) or Ca2 /calmodulin-dependent protein kinase II cardiac myocytes through regulation of the sarco(endo)plasmic re- (CaMKII) (3). ticulum Ca2+-ATPase 2A (SERCA2A) Ca2+ pump. An inherited mu- Proteomic analyses have revealed changes in the abundance tation converting arginine residue 9 in PLN to cysteine (R9C) results of other effector proteins in diverse biochemical pathways in in dilated cardiomyopathy (DCM) in humans and transgenic mice, DCM. Notably, shotgun proteomic analysis of membrane pro- but the downstream signaling defects leading to decompensation tein expression dynamics in heart microsomes isolated from mice and heart failure are poorly understood. Here we used precision overexpressing a superinhibitory (I40A) mutant of PLN revealed mass spectrometry to study the global phosphorylation dynamics changes in G protein-coupled receptor-mediated pathways leading of 1,887 cardiac phosphoproteins in early affected heart tissue in a to activation of protein kinase C (PKC) (4). -
Supplementary File Table S1
Supplementary file Table S1 Grouping of Homeobox genes according to their main known function. Anatomical Structure Morphogenesis EN1, HOXC10, HOXC13, HOXD3, LBX1, SIX2, SIX4 Organ Morphogenesis CDX1, CDX2, HOXA11, HOXA13, ISL1, LHX1, PAX3, PDHX, PITX2, PITX3, PROX1, SIX6 Body Pattern Formation ALX3, EMX2, HHEX, HOXA11, HOXA2, HOXA4, HOXA5, HOXA6, HOXB1, HOXB5, HOXB6, HOXC5, HOXD10, HOXD8, LMX1B, PITX2 Ectoderm Development PROX1, VAX2 Endoderm Development HOXC11 Brain & Nervous System Development Brain Development ALX1, DLX2, EMX2 Nervous System Development: ARX, DLX5, DLX6, HOXD10, LBX1, LHX1, OTP, PAX3, PHOX2A, PHOX2B Skeletal Development: ALX3, ALX4, DLX3, DLX5, DLX6, EN1, HOXA11, HOXA13, HOXA2, HOXB6, HOXD10, HOXD13, MSX2 Muscle Development: BARX2, MKX, SIRT1, SIRT2, SIX1 Other Homeobox Genes Involved In BARX1, CDX4, CUX1, DLX1, EMX1, EN2, Multicellular Organismal HOXA1, HOXA7, HOXA9, HOXB13, HOXB2, Development: HOXB3, HOXB4, HOXB7, HOXB8, HOXB9, HOXC12, HOXC8, HOXC9, HOXD1, HOXD11, HOXD12, HOXD9, ISL2, LBX2, LMX1A, MEIS1, NKX3-1, OTX1, TLX1, VAX1, VSX1, VSX2 Homeobox Genes Involved In Cell ARX, EMX2, HHEX, HLX, HOPX, LBX1, LHX1, Differentiation: LMX1B, MIXL1, OTP, PHOX2A, SIRT1, VSX2 Other Genes: PHTF1, SIRT3, SIRT6, SIRT7, ZHX1, ZHX2 Homeobox genes include two subsets of genes coding for transcription factors involved in multiple functions. The clustered HOX genes are indicated in bold. Supplementary file Figure S2 5’ Spatial collinearity 3’ HOXA Chr. 7p15.3 HOXB Chr. 17q21.3 HOXC Chr. 12q13.3 HOXD Chr. 2q31 13 12 11 10 9 8 7 6 5 4 3 2 1 Paralogous HOX groups Distribution of the 39 human HOX genes in four clusters located in different chromosomal regions*. Blue indicates anterior HOX genes. Yellow, paralogy group 3 Hox genes, green and purple indicatete central HOX genes and Red the posterior HOX genes. -
Oxidized Phospholipids Regulate Amino Acid Metabolism Through MTHFD2 to Facilitate Nucleotide Release in Endothelial Cells
ARTICLE DOI: 10.1038/s41467-018-04602-0 OPEN Oxidized phospholipids regulate amino acid metabolism through MTHFD2 to facilitate nucleotide release in endothelial cells Juliane Hitzel1,2, Eunjee Lee3,4, Yi Zhang 3,5,Sofia Iris Bibli2,6, Xiaogang Li7, Sven Zukunft 2,6, Beatrice Pflüger1,2, Jiong Hu2,6, Christoph Schürmann1,2, Andrea Estefania Vasconez1,2, James A. Oo1,2, Adelheid Kratzer8,9, Sandeep Kumar 10, Flávia Rezende1,2, Ivana Josipovic1,2, Dominique Thomas11, Hector Giral8,9, Yannick Schreiber12, Gerd Geisslinger11,12, Christian Fork1,2, Xia Yang13, Fragiska Sigala14, Casey E. Romanoski15, Jens Kroll7, Hanjoong Jo 10, Ulf Landmesser8,9,16, Aldons J. Lusis17, 1234567890():,; Dmitry Namgaladze18, Ingrid Fleming2,6, Matthias S. Leisegang1,2, Jun Zhu 3,4 & Ralf P. Brandes1,2 Oxidized phospholipids (oxPAPC) induce endothelial dysfunction and atherosclerosis. Here we show that oxPAPC induce a gene network regulating serine-glycine metabolism with the mitochondrial methylenetetrahydrofolate dehydrogenase/cyclohydrolase (MTHFD2) as a cau- sal regulator using integrative network modeling and Bayesian network analysis in human aortic endothelial cells. The cluster is activated in human plaque material and by atherogenic lipo- proteins isolated from plasma of patients with coronary artery disease (CAD). Single nucleotide polymorphisms (SNPs) within the MTHFD2-controlled cluster associate with CAD. The MTHFD2-controlled cluster redirects metabolism to glycine synthesis to replenish purine nucleotides. Since endothelial cells secrete purines in response to oxPAPC, the MTHFD2- controlled response maintains endothelial ATP. Accordingly, MTHFD2-dependent glycine synthesis is a prerequisite for angiogenesis. Thus, we propose that endothelial cells undergo MTHFD2-mediated reprogramming toward serine-glycine and mitochondrial one-carbon metabolism to compensate for the loss of ATP in response to oxPAPC during atherosclerosis. -
Rbpj Conditional Knockout Reveals Distinct Functions of Notch4/Int3 in Mammary Gland Development and Tumorigenesis
Oncogene (2009) 28, 219–230 & 2009 Macmillan Publishers Limited All rights reserved 0950-9232/09 $32.00 www.nature.com/onc ORIGINAL ARTICLE Rbpj conditional knockout reveals distinct functions of Notch4/Int3 in mammary gland development and tumorigenesis A Raafat1, S Lawson1, S Bargo1, M Klauzinska1, L Strizzi1, AS Goldhar1, K Buono2, D Salomon1, BK Vonderhaar1 and R Callahan1 1Mammary Biology and Tumorigenesis Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA and 2Laboratory of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA Transgenic mice expressing the Notch 4 intracellular membrane-bound ligands encoded by the Delta/Ser- domain (ICD) (Int3) in the mammary gland have two rate/Jagged gene families. The signal induced by ligand phenotypes: arrest of mammary alveolar/lobular develop- binding is transmitted by a process involving proteolytic ment and mammary tumorigenesis. Notch4 signaling is cleavage of the receptor by g-secretase followed by mediated primarily through the interaction of Int3 with nuclear translocation of the Notch intracellular domain the transcription repressor/activator Rbpj. We have (ICD). The Notch ICD translocates to the nucleus and conditionally ablated the Rbpj gene in the mammary serves as a transcription activator. The Notch ICD does glands of mice expressing whey acidic protein (Wap)-Int3. not possess DNA binding activity; rather it associates Interestingly, Rbpj knockout mice (Wap-Cre þ /RbpjÀ/À/ with the transcription factor Rbpj, the primary tran- Wap-Int3) have normal mammary gland development, scriptional mediator of canonical Notch signaling. The suggesting that the effect of endogenous Notch signaling Notch-ICD–Rbpj complex transactivates promoters on mammary gland development is complete by day 15 of containing Rbpj-binding sites (Kato et al., 1996). -
The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area
bioRxiv preprint doi: https://doi.org/10.1101/703793; this version posted July 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area 1 2 3 4 3 Amanda K. Tilot , Ekaterina A. Khramtsova , Katrina Grasby , Neda Jahanshad , Jodie Painter , 3 5 6 3 7,8 Lucía Colodro-Conde , Janita Bralten , Derrek P. Hibar , Penelope A. Lind , Siyao Liu , Sarah 7,8 4 3 9 2 M. Brotman , Paul M. Thompson , Sarah E. Medland , Fabio Macciardi , Barbara E. Stranger , 10,11,12 1,13* 7,8,14* Lea K. Davis , Simon E. Fisher , Jason L. Stein 1. Language and Genetics Department, Max Planck Institute for Psycholinguistics; P.O. Box 310, 6500 AH Nijmegen, the Netherlands 2. Section of Genetic Medicine & Institute for Genomics and Systems Biology, Department of Medicine, University of Chicago, Chicago, IL, USA 3. Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia 4. Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA 5. Radboud University, Nijmegen, Netherlands 6. Genentech, Inc., South San Francisco, CA, USA 7. Department of Genetics, University of North Carolina, Chapel Hill, NC, USA 8. UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA 9. Department of Psychiatry and Human Behavior, University of California, Irvine, Sprague Hall - Room 312, Gillespie Neuroscience - Laboratory, Mail Code: 3960, Irvine, CA 92697, USA 10. -
(12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano Et Al
US 20090269772A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano et al. (43) Pub. Date: Oct. 29, 2009 (54) SYSTEMS AND METHODS FOR Publication Classification IDENTIFYING COMBINATIONS OF (51) Int. Cl. COMPOUNDS OF THERAPEUTIC INTEREST CI2O I/68 (2006.01) CI2O 1/02 (2006.01) (76) Inventors: Andrea Califano, New York, NY G06N 5/02 (2006.01) (US); Riccardo Dalla-Favera, New (52) U.S. Cl. ........... 435/6: 435/29: 706/54; 707/E17.014 York, NY (US); Owen A. (57) ABSTRACT O'Connor, New York, NY (US) Systems, methods, and apparatus for searching for a combi nation of compounds of therapeutic interest are provided. Correspondence Address: Cell-based assays are performed, each cell-based assay JONES DAY exposing a different sample of cells to a different compound 222 EAST 41ST ST in a plurality of compounds. From the cell-based assays, a NEW YORK, NY 10017 (US) Subset of the tested compounds is selected. For each respec tive compound in the Subset, a molecular abundance profile from cells exposed to the respective compound is measured. (21) Appl. No.: 12/432,579 Targets of transcription factors and post-translational modu lators of transcription factor activity are inferred from the (22) Filed: Apr. 29, 2009 molecular abundance profile data using information theoretic measures. This data is used to construct an interaction net Related U.S. Application Data work. Variances in edges in the interaction network are used to determine the drug activity profile of compounds in the (60) Provisional application No. 61/048.875, filed on Apr.