Calcineurin Is an Important Factor Involved in Glucose Uptake in Human Adipocytes
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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 -
Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer Kumardeep Chaudhary1, Olivier B
Published OnlineFirst October 5, 2017; DOI: 10.1158/1078-0432.CCR-17-0853 Statistics in CCR Clinical Cancer Research Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer Kumardeep Chaudhary1, Olivier B. Poirion1, Liangqun Lu1,2, and Lana X. Garmire1,2 Abstract Identifying robust survival subgroups of hepatocellular car- index (C-index) ¼ 0.68]. More aggressive subtype is associated cinoma (HCC) will significantly improve patient care. Current- with frequent TP53 inactivation mutations, higher expression ly, endeavor of integrating multi-omicsdatatoexplicitlypredict of stemness markers (KRT19 and EPCAM)andtumormarker HCC survival from multiple patient cohorts is lacking. To fill BIRC5, and activated Wnt and Akt signaling pathways. We this gap, we present a deep learning (DL)–based model on HCC validated this multi-omics model on five external datasets of that robustly differentiates survival subpopulations of patients various omics types: LIRI-JP cohort (n ¼ 230, C-index ¼ 0.75), in six cohorts. We built the DL-based, survival-sensitive model NCI cohort (n ¼ 221, C-index ¼ 0.67), Chinese cohort (n ¼ on 360 HCC patients' data using RNA sequencing (RNA-Seq), 166, C-index ¼ 0.69), E-TABM-36 cohort (n ¼ 40, C-index ¼ miRNA sequencing (miRNA-Seq), and methylation data from 0.77), and Hawaiian cohort (n ¼ 27, C-index ¼ 0.82). This TheCancerGenomeAtlas(TCGA),whichpredictsprognosis is the first study to employ DL to identify multi-omics features as good as an alternative model where genomics and clinical linked to the differential survival of patients with HCC. Given data are both considered. This DL-based model provides two its robustness over multiple cohorts, we expect this workflow to optimal subgroups of patients with significant survival differ- be useful at predicting HCC prognosis prediction. -
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. -
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 )]. -
Identification and Characterization of RHOA-Interacting Proteins in Bovine Spermatozoa1
BIOLOGY OF REPRODUCTION 78, 184–192 (2008) Published online before print 10 October 2007. DOI 10.1095/biolreprod.107.062943 Identification and Characterization of RHOA-Interacting Proteins in Bovine Spermatozoa1 Sarah E. Fiedler, Malini Bajpai, and Daniel W. Carr2 Department of Medicine, Oregon Health & Sciences University and Veterans Affairs Medical Center, Portland, Oregon 97239 ABSTRACT Guanine nucleotide exchange factors (GEFs) catalyze the GDP for GTP exchange [2]. Activation is negatively regulated by In somatic cells, RHOA mediates actin dynamics through a both guanine nucleotide dissociation inhibitors (RHO GDIs) GNA13-mediated signaling cascade involving RHO kinase and GTPase-activating proteins (GAPs) [1, 2]. Endogenous (ROCK), LIM kinase (LIMK), and cofilin. RHOA can be RHO can be inactivated via C3 exoenzyme ADP-ribosylation, negatively regulated by protein kinase A (PRKA), and it and studies have demonstrated RHO involvement in actin-based interacts with members of the A-kinase anchoring (AKAP) cytoskeletal response to extracellular signals, including lyso- family via intermediary proteins. In spermatozoa, actin poly- merization precedes the acrosome reaction, which is necessary phosphatidic acid (LPA) [2–4]. LPA is known to signal through for normal fertility. The present study was undertaken to G-protein-coupled receptors (GPCRs) [4, 5]; specifically, LPA- determine whether the GNA13-mediated RHOA signaling activated GNA13 (formerly Ga13) promotes RHO activation pathway may be involved in acrosome reaction in bovine through GEFs [4, 6]. Activated RHO-GTP then signals RHO caudal sperm, and whether AKAPs may be involved in its kinase (ROCK), resulting in the phosphorylation and activation targeting and regulation. GNA13, RHOA, ROCK2, LIMK2, and of LIM-kinase (LIMK), which in turn phosphorylates and cofilin were all detected by Western blot in bovine caudal inactivates cofilin, an actin depolymerizer, the end result being sperm. -
Calmodulin and Calmodulin-Dependent Protein Kinase II Inhibit Hormone Secretion in Human Parathyroid Adenoma
31 Calmodulin and calmodulin-dependent protein kinase II inhibit hormone secretion in human parathyroid adenoma Ming Lu1,2,3, Erik Berglund1, Catharina Larsson1,3, Anders Ho¨o¨g4, Lars-Ove Farnebo1 and Robert Bra¨nstro¨m1 1Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital L1:03, SE-171 76 Stockholm, Sweden 2Department of Geriatric Endocrinology, First Affiliated Hospital of Guangxi Medical University, NanNing, People’s Republic of China 3Center for Molecular Medicine (CMM), Karolinska University Hospital, SE-171 76 Stockholm, Sweden 4Department of Oncology–Pathology, Karolinska Institutet, Karolinska University Hospital, SE-171 76 Stockholm, Sweden (Correspondence should be addressed to M Lu at Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital; Email: [email protected]) Abstract 2C 2C Intracellular calcium ([Ca ]i) is the most relevant modulator adenoma cells in spite of increased [Ca ]i. The inhibitory C of parathyroid hormone (PTH) secretion. Uniquely, an effect of Ca2 calmodulin on PTH secretion may be due to 2C increase in [Ca ]i results in an inhibition of PTH secretion, the absence of synaptotagmin 1 protein in parathyroid and it probably exerts its function via calcium-binding protein adenomas, as demonstrated by western blot analysis. An pathways. The ubiquitous calcium-binding proteins, calmo- increased extracellular calcium level acutely lowered the dulin and calmodulin-dependent protein kinase II (CaMKII), amount of active phosphorylated CaMKII (pCaMKII) in have well-established roles in regulated exocytosis in neurons adenoma cells in vitro, indicating the physiological importance and neuroendocrine cells. However, their roles in parathyroid of this pathway. Moreover, a negative correlation between the cells and PTH secretion are still unclear. -
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MEK-7 Polyclonal Antibody Catalog No : YT2725 Reactivity : Human,Mouse,Rat Applications : WB,ELISA Gene Name : MAP2K7 Protein Name : Dual specificity mitogen-activated protein kinase kinase 7 Human Gene Id : 5609 Human Swiss Prot O14733 No : Mouse Gene Id : 26400 Mouse Swiss Prot Q8CE90 No : Rat Gene Id : 363855 Rat Swiss Prot No : Q4KSH7 Immunogen : The antiserum was produced against synthesized peptide derived from human MAP2K7. AA range:241-290 Specificity : MEK-7 Polyclonal Antibody detects endogenous levels of MEK-7 protein. Formulation : Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Source : Rabbit Dilution : Western Blot: 1/500 - 1/2000. ELISA: 1/20000. Not yet tested in other applications. Purification : The antibody was affinity-purified from rabbit antiserum by affinity- chromatography using epitope-specific immunogen. Concentration : 1 mg/ml 1 / 3 Storage Stability : -20°C/1 year Molecularweight : 47485 Observed Band : 47 Cell Pathway : MAPK_ERK_Growth,MAPK_G_Protein,ErbB_HER,Toll_Like,T_Cell_Receptor, Fc epsilon RI,Neurotrophin,GnRH, Background : mitogen-activated protein kinase kinase 7(MAP2K7) Homo sapiens The protein encoded by this gene is a dual specificity protein kinase that belongs to the MAP kinase kinase family. This kinase specifically activates MAPK8/JNK1 and MAPK9/JNK2, and this kinase itself is phosphorylated and activated by MAP kinase kinase kinases including MAP3K1/MEKK1, MAP3K2/MEKK2,MAP3K3/MEKK5, and MAP4K2/GCK. This kinase is involved in the signal transduction mediating the cell -
Application of a MYC Degradation
SCIENCE SIGNALING | RESEARCH ARTICLE CANCER Copyright © 2019 The Authors, some rights reserved; Application of a MYC degradation screen identifies exclusive licensee American Association sensitivity to CDK9 inhibitors in KRAS-mutant for the Advancement of Science. No claim pancreatic cancer to original U.S. Devon R. Blake1, Angelina V. Vaseva2, Richard G. Hodge2, McKenzie P. Kline3, Thomas S. K. Gilbert1,4, Government Works Vikas Tyagi5, Daowei Huang5, Gabrielle C. Whiten5, Jacob E. Larson5, Xiaodong Wang2,5, Kenneth H. Pearce5, Laura E. Herring1,4, Lee M. Graves1,2,4, Stephen V. Frye2,5, Michael J. Emanuele1,2, Adrienne D. Cox1,2,6, Channing J. Der1,2* Stabilization of the MYC oncoprotein by KRAS signaling critically promotes the growth of pancreatic ductal adeno- carcinoma (PDAC). Thus, understanding how MYC protein stability is regulated may lead to effective therapies. Here, we used a previously developed, flow cytometry–based assay that screened a library of >800 protein kinase inhibitors and identified compounds that promoted either the stability or degradation of MYC in a KRAS-mutant PDAC cell line. We validated compounds that stabilized or destabilized MYC and then focused on one compound, Downloaded from UNC10112785, that induced the substantial loss of MYC protein in both two-dimensional (2D) and 3D cell cultures. We determined that this compound is a potent CDK9 inhibitor with a previously uncharacterized scaffold, caused MYC loss through both transcriptional and posttranslational mechanisms, and suppresses PDAC anchorage- dependent and anchorage-independent growth. We discovered that CDK9 enhanced MYC protein stability 62 through a previously unknown, KRAS-independent mechanism involving direct phosphorylation of MYC at Ser . -
Bioinformatic Analyses in Early Host Response To
Schroyen et al. BMC Genomics (2016) 17:196 DOI 10.1186/s12864-016-2547-z RESEARCH ARTICLE Open Access Bioinformatic analyses in early host response to Porcine Reproductive and Respiratory Syndrome virus (PRRSV) reveals pathway differences between pigs with alternate genotypes for a major host response QTL Martine Schroyen1†, Christopher Eisley2†, James E. Koltes3, Eric Fritz-Waters1, Igseo Choi4, Graham S. Plastow5, Leluo Guan5, Paul Stothard5, Hua Bao5, Arun Kommadath5, James M. Reecy1, Joan K. Lunney4, Robert R. R. Rowland6, Jack C. M. Dekkers1 and Christopher K. Tuggle1* Abstract Background: AregiononSus scrofa chromosome 4 (SSC4) surrounding single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) has been reported to be strongly associated with both weight gain and serum viremia in pigs after infection with PRRS virus (PRRSV). A proposed causal mutation in the guanylate binding protein 5 gene (GBP5)is predicted to truncate the encoded protein. To investigate transcriptional differences between WUR genotypes in early host response to PRRSV infection, an RNA-seq experiment was performed on globin depleted whole blood RNA collectedon0,4,7,10and14dayspost-infection(dpi)from eight littermate pairs with one AB (favorable) and one AA (unfavorable) WUR genotype animal per litter. Results: Gene Ontology (GO) enrichment analysis of transcripts that were differentially expressed (DE) between dpi across both genotypes revealed an inflammatory response for all dpi when compared to day 0. However, at the early time points of 4 and 7dpi, several GO terms had higher enrichment scores compared to later dpi, including inflammatory response (p <10-7), specifically regulation of NFkappaB (p < 0.01), cytokine, and chemokine activity (p <0.01).At10and 14dpi, GO term enrichment indicated a switch to DNA damage response, cell cycle checkpoints, and DNA replication. -
Kinase Profiling Book
Custom and Pre-Selected Kinase Prof iling to f it your Budget and Needs! As of July 1, 2021 19.8653 mm 128 196 12 Tyrosine Serine/Threonine Lipid Kinases Kinases Kinases Carna Biosciences, Inc. 2007 Carna Biosciences, Inc. Profiling Assays available from Carna Biosciences, Inc. As of July 1, 2021 Page Kinase Name Assay Platform Page Kinase Name Assay Platform 4 ABL(ABL1) MSA 21 EGFR[T790M/C797S/L858R] MSA 4 ABL(ABL1)[E255K] MSA 21 EGFR[T790M/L858R] MSA 4 ABL(ABL1)[T315I] MSA 21 EPHA1 MSA 4 ACK(TNK2) MSA 21 EPHA2 MSA 4 AKT1 MSA 21 EPHA3 MSA 5 AKT2 MSA 22 EPHA4 MSA 5 AKT3 MSA 22 EPHA5 MSA 5 ALK MSA 22 EPHA6 MSA 5 ALK[C1156Y] MSA 22 EPHA7 MSA 5 ALK[F1174L] MSA 22 EPHA8 MSA 6 ALK[G1202R] MSA 23 EPHB1 MSA 6 ALK[G1269A] MSA 23 EPHB2 MSA 6 ALK[L1196M] MSA 23 EPHB3 MSA 6 ALK[R1275Q] MSA 23 EPHB4 MSA 6 ALK[T1151_L1152insT] MSA 23 Erk1(MAPK3) MSA 7 EML4-ALK MSA 24 Erk2(MAPK1) MSA 7 NPM1-ALK MSA 24 Erk5(MAPK7) MSA 7 AMPKα1/β1/γ1(PRKAA1/B1/G1) MSA 24 FAK(PTK2) MSA 7 AMPKα2/β1/γ1(PRKAA2/B1/G1) MSA 24 FER MSA 7 ARG(ABL2) MSA 24 FES MSA 8 AurA(AURKA) MSA 25 FGFR1 MSA 8 AurA(AURKA)/TPX2 MSA 25 FGFR1[V561M] MSA 8 AurB(AURKB)/INCENP MSA 25 FGFR2 MSA 8 AurC(AURKC) MSA 25 FGFR2[V564I] MSA 8 AXL MSA 25 FGFR3 MSA 9 BLK MSA 26 FGFR3[K650E] MSA 9 BMX MSA 26 FGFR3[K650M] MSA 9 BRK(PTK6) MSA 26 FGFR3[V555L] MSA 9 BRSK1 MSA 26 FGFR3[V555M] MSA 9 BRSK2 MSA 26 FGFR4 MSA 10 BTK MSA 27 FGFR4[N535K] MSA 10 BTK[C481S] MSA 27 FGFR4[V550E] MSA 10 BUB1/BUB3 MSA 27 FGFR4[V550L] MSA 10 CaMK1α(CAMK1) MSA 27 FGR MSA 10 CaMK1δ(CAMK1D) MSA 27 FLT1 MSA 11 CaMK2α(CAMK2A) MSA 28 -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal