Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer Kumardeep Chaudhary1, Olivier B
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The Role of LIM Kinase 1 and Its Substrates in Cell Cycle Progression
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2014 The Role of LIM Kinase 1 and its Substrates in Cell Cycle Progression Lisa Ritchey University of Central Florida Part of the Medical Sciences Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Ritchey, Lisa, "The Role of LIM Kinase 1 and its Substrates in Cell Cycle Progression" (2014). Electronic Theses and Dissertations, 2004-2019. 1300. https://stars.library.ucf.edu/etd/1300 THE ROLE OF LIM KINASE 1 AND ITS SUBSTRATES IN CELL CYCLE PROGRESSION by LISA RITCHEY B.S. Florida State University 2007 M.S. University of Central Florida 2010 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Burnett School of Biomedical Sciences in the College of Graduate Studies at the University of Central Florida Orlando, Florida Summer Term 2014 Major Professor: Ratna Chakrabarti © 2014 Lisa Ritchey ii ABSTRACT LIM Kinase 1 (LIMK1), a modulator of actin and microtubule dynamics, has been shown to be involved in cell cycle progression. In this study we examine the role of LIMK1 in G1 phase and mitosis. We found ectopic expression of LIMK1 resulted in altered expression of p27Kip1, the G1 phase Cyclin D1/Cdk4 inhibitor. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Primary Antibodies Flyer
Primary Antibodies Your choice of size and format Format Concentration Size CF® dye conjugates (13 colors) 0.1 mg/mL 100 or 500 uL Biotin, HRP or AP conjugates 0.1 mg/mL 100 or 500 uL R-PE, APC, or Per-CP conjugates 0.1 mg/mL 250 uL Purified, with BSA 0.1 mg/mL 100 or 500 uL Purified, BSA-free (Mix-n-Stain™ Ready) 1 mg/mL 50 uL Advantages Figure 1. IHC staining of human prostate Figure 2. Flow cytometry analysis of U937 • More than 1000 monoclonal antibodies carcinoma with anti-ODC1 clone cells with anti-CD31/PECAM clone C31.7, • Growing selection of monoclonal rabbit ODC1/485. CF647 conjugate (blue) or isotype control (orange). antibodies • Validated in IHC and other applications Your choice of 13 bright and photostable CF® dyes • Choose from 13 bright and stable CF® dyes CF® dye Ex/Em (nm) Features • Also available with R-PE, APC, PerCP, HRP, AP, CF®405S 404/431 • Better fit for the 450/50 flow cytometer channel than Alexa Fluor® 405 or biotin CF®405M 408/452 • More photostable than Pacific Blue®, with less green spill-over • Purified antibodies available BSA-free, 1 mg/mL, • Compatible with super-resolution imaging by SIM ready to use for Mix-n-Stain™ labeling or other CF®488A 490/515 • Less non-specific binding and spill-over than Alexa Fluor® 488 conjugation • Very photostable and pH-insensitive • Compatible with super-resolution imaging by TIRF • Offered in affordable 100 uL size CF®543 541/560 • Brighter than Alexa Fluor® 546 CF®555 555/565 • Brighter than Cy®3 • Validated in multicolor super-resolution imaging by STORM CF®568 -
Small-Molecule Inhibition of 6-Phosphofructo-2-Kinase Activity Suppresses Glycolytic Flux and Tumor Growth
110 Small-molecule inhibition of 6-phosphofructo-2-kinase activity suppresses glycolytic flux and tumor growth Brian Clem,1,3 Sucheta Telang,1,3 Amy Clem,1,3 reduces the intracellular concentration of Fru-2,6-BP, Abdullah Yalcin,1,2,3 Jason Meier,2 glucose uptake, and growth of established tumors in vivo. Alan Simmons,1,3 Mary Ann Rasku,1,3 Taken together, these data support the clinical development Sengodagounder Arumugam,1,3 of 3PO and other PFKFB3 inhibitors as chemotherapeutic William L. Dean,2,3 John Eaton,1,3 Andrew Lane,1,3 agents. [Mol Cancer Ther 2008;7(1):110–20] John O. Trent,1,2,3 and Jason Chesney1,2,3 Departments of 1Medicine and 2Biochemistry and Molecular Introduction Biology and 3Molecular Targets Group, James Graham Brown Neoplastic transformation causes a marked increase in Cancer Center, University of Louisville, Louisville, Kentucky glucose uptake and catabolic conversion to lactate, which forms the basis for the most specific cancer diagnostic 18 Abstract examination—positron emission tomography of 2- F- fluoro-2-deoxyglucose (18F-2-DG) uptake (1). The protein 6-Phosphofructo-1-kinase, a rate-limiting enzyme of products of several oncogenes directly increase glycolytic glycolysis, is activated in neoplastic cells by fructose-2,6- flux even under normoxic conditions, a phenomenon bisphosphate (Fru-2,6-BP), a product of four 6-phospho- originally termed the Warburg effect (2, 3). For example, fructo-2-kinase/fructose-2,6-bisphosphatase isozymes c-myc is a transcription factor that promotes the expression (PFKFB1-4). The inducible PFKFB3 isozyme is constitu- of glycolytic enzyme mRNAs, and its expression is increased tively expressed by neoplastic cells and required for the in several human cancers regardless of the oxygen pressure high glycolytic rate and anchorage-independent growth of (4, 5). -
Characterization of Gf a Drosophila Trimeric G Protein Alpha Subunit
Characterization of Gf a Drosophila trimeric G protein alpha subunit Naureen Quibria Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2012 © 2012 Naureen Quibria All rights reserved Abstract Characterization of Gf a Drosophila trimeric G-protein alpha subunit Naureen Quibria In the morphogenesis of tissue development, how coordination of patterning and growth achieve the correct organ size and shape is a principal question in biology. Efficient orchestrating mechanisms are required to achieve this and cells have developed sophisticated systems for reception and interpretation of the multitude of extracellular stimuli to which they are exposed. Plasma membrane receptors play a key role in the transmission of such signals. G-protein coupled receptors (GPCRs) are the largest class of cell surface receptors that respond to an enormous diversity of extracellular stimuli, and are critical mediators of cellular signal transduction in eukaryotic organisms. Signaling through GPCRs has been well characterized in many biological contexts. While they are a major class of signal transducers, there are not many defined instances where GPCRs have been implicated in the process of development to date. The Drosophila wing provides an ideal model system to elucidate and address the role of GPCRs in development, as its growth is regulated by a small number of conserved signaling pathways. In my thesis work, I address the role of a trimeric G alpha protein in Drosophila, Gαf, and what part it may play in development. In particular, I explore the role of Gαf as an alpha subunit of a trimeric complex, to determine what heptahelical receptors might act as its cognate receptor. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
PI3K Catalytic Isoform Alteration Promotes the LIMK1-Related
ANTICANCER RESEARCH 37 : 1805-1818 (2017) doi:10.21873/anticanres.11515 PI3K Catalytic Isoform Alteration Promotes the LIMK1-related Metastasis Through the PAK1 or ROCK1/2 Activation in Cigarette Smoke-exposed Ovarian Cancer Cells GA BIN PARK 1 and DAEJIN KIM 2 1Department of Biochemistry, Kosin University College of Medicine, Busan, Republic of Korea; 2Department of Anatomy, Inje University College of Medicine, Busan, Republic of Korea Abstract. Aim: To investigate the molecular mechanisms Several studies have shown a strong correlation between by which long-term exposure to cigarette smoke extract cigarette smoke (CS) and cancer metastasis through the (CSE) contributes to ovarian cancer metastasis. Materials induction of numerous factors involved in migration activity and Methods: Western blot analysis for diverse p110 (1-3). The exposure to CS induces the epithelial- isoforms of phosphoinositide 3-kinase (PI3K)-related mesenchymal transition (EMT) process and up-regulates the signaling pathway and epithelial-mesenchymal transition expression of EMT markers, including N-cadherin and (EMT) markers was performed to analyze the underlying vimentin (4, 5). Cigarette smoke extract (CSE) treatment mechanisms. Migratory activity of CSE-exposed ovarian significantly induces interleukin-8 (IL-8) and transforming cancer cells was determined by transendothelial migration growth factor-beta 1 (TGF- β1 ) production and profoundly and invasion assay. Results: After exposure to CSE for four suppresses the proliferation and growth of erythroid and weeks, CaOV3 (primary) and SKOV3 (metastatic) ovarian granulocyte-macrophage progenitors (6). Stimulation with cancer cells showed enhanced mesenchymal characteristics CSE in human lung fibroblast cells induces the expression and produced EMT-related cytokines [intwerleukin-8 (IL-8), of phosphorylated Smad3, a main downstream target of the vascular endothelial growth factor (VEGF) and TGF- β1 receptor, which results in the secretion of vascular transforming growth factor-beta 1 (TGF- β1 )]. -
Exploring the Non-Canonical Functions of Metabolic Enzymes Peiwei Huangyang1,2 and M
© 2018. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2018) 11, dmm033365. doi:10.1242/dmm.033365 REVIEW SPECIAL COLLECTION: CANCER METABOLISM Hidden features: exploring the non-canonical functions of metabolic enzymes Peiwei Huangyang1,2 and M. Celeste Simon1,3,* ABSTRACT A key finding from studies of metabolic enzymes is the existence The study of cellular metabolism has been rigorously revisited over the of mechanistic links between their nuclear localization and the past decade, especially in the field of cancer research, revealing new regulation of transcription. By modulating gene expression, insights that expand our understanding of malignancy. Among these metabolic enzymes themselves facilitate adaptation to rapidly insights isthe discovery that various metabolic enzymes have surprising changing environments. Furthermore, they can directly shape a ’ activities outside of their established metabolic roles, including in cell s epigenetic landscape (Kaelin and McKnight, 2013). the regulation of gene expression, DNA damage repair, cell cycle Strikingly, several metabolic enzymes exert completely distinct progression and apoptosis. Many of these newly identified functions are functions in different cellular compartments. Nuclear fructose activated in response to growth factor signaling, nutrient and oxygen bisphosphate aldolase, for example, directly interacts with RNA ́ availability, and external stress. As such, multifaceted enzymes directly polymerase III to control transcription (Ciesla et al., 2014), -
WO 2007/056812 Al
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date (10) International Publication Number 24 May 2007 (24.05.2007) PCT WO 2007/056812 Al (51) International Patent Classification: Victoria 3941 (AU). WHITTAKER, Jason, S. [AU/AU]; C07K 14/54 (2006.01) C07H 21/04 (2006.01) 24 Maddison Street, Redfern East, New South Wales A61K 38/19 (2006.01) C07K 14/52 (2006.01) 2016 (AU). DOMAGALA, Teresa, A. [AU/AU]; 14/30 A61K 38/20 (2006.01) C07K 14/61 (2006.01) Garden Street, Alexandria, New South Wales 2015 (AU). A61K 38/27 (2006.01) C07K 14/715 (2006.01) SIMPSON, Raina, J. [AU/AU]; 10 Snowgum Street, A61P 7/00 (2006.01) C07 /4/72 (2006.01) Acacia Gardens, New South Wales 2763 (AU). A61P 35/00 (2006.01) C07K 19/00 (2006.01) A61P 37/00 (2006.01) GOlN 33/543 (2006.01) (74) Agents: HUGHES, John, E., L. et al.; DAVIES COLLI- C07H 21/02 (2006.01) SON CAVE, 1Nicholson Street, Melbourne, Victoria 3000 (AU). (21) International Application Number: PCT/AU2006/001718 (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, (22) International Filing Date: AT,AU, AZ, BA, BB, BG, BR, BW, BY, BZ, CA, CH, CN, 16 November 2006 (16.1 1.2006) CO, CR, CU, CZ, DE, DK, DM, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, (25) Filing Language: English JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LV,LY,MA, MD, MG, MK, MN, MW, MX, MY, (26) -
Adiponectin Regulates Expression of Hepatic Genes Critical for Glucose and Lipid Metabolism
Adiponectin regulates expression of hepatic genes critical for glucose and lipid metabolism Qingqing Liua, Bingbing Yuana, Kinyui Alice Loa,b, Heide Christine Pattersona,c,d, Yutong Sune, and Harvey F. Lodisha,b,1 aWhitehead Institute for Biomedical Research, Cambridge, MA 02142; bDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; cDepartment of Pathology, Brigham and Women’s Hospital, Boston, MA 02115; dInstitut für Klinische Chemie und Pathobiochemie, Klinikum Rechts der Isar, Technische Universität München, 81675 Munich, Germany; and eDepartment of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030 Contributed by Harvey F. Lodish, July 23, 2012 (sent for review May 30, 2012) The effects of adiponectin on hepatic glucose and lipid metabolism mediated by a master regulator of hepatic gene expression, the at transcriptional level are largely unknown. We profiled hepatic transcription factor (TF) Hnf4a. gene expression in adiponectin knockout (KO) and wild-type (WT) mice by RNA sequencing. Compared with WT mice, adiponectin KO Results mice fed a chow diet exhibited decreased mRNA expression of rate- Rate-limiting enzymes catalyze the slowest or irreversible steps limiting enzymes in several important glucose and lipid metabolic in metabolic pathways, which makes them the targets of tran- pathways, including glycolysis, tricarboxylic acid cycle, fatty-acid scriptional regulation and/or posttranslational modifications activation and synthesis, triglyceride synthesis, and cholesterol such as phosphorylation in the regulation of metabolism (7). synthesis. In addition, binding of the transcription factor Hnf4a to Because adiponectin plays an important role in energy metabo- DNAs encoding several key metabolic enzymes was reduced in KO lism, our analysis on hepatic gene expression in adiponectin KO mice, suggesting that adiponectin might regulate hepatic gene and WT mice was specifically focused on the expression levels of expression via Hnf4a. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A.