Defining the Akt1 Interactome and Its Role in Regulating the Cell Cycle
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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. -
CIP29 (SARNP) Rabbit Polyclonal Antibody – TA308582 | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TA308582 CIP29 (SARNP) Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: IF, IHC, WB Recommended Dilution: ICC/IF:1:100-1:1000; IHC:1:100-1:1000; WB:1:500-1:3000 Reactivity: Human (Predicted: Bovine, Chicken, Mouse, Rat) Host: Rabbit Isotype: IgG Clonality: Polyclonal Immunogen: Recombinant fragment corresponding to a region within amino acids 4 and 210 of CIP29 (Uniprot ID#P82979) Formulation: 0.1M Tris, 0.1M Glycine, 10% Glycerol (pH7). 0.01% Thimerosal was added as a preservative. Concentration: lot specific Purification: Purified by antigen-affinity chromatography. Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 24 kDa Gene Name: SAP domain containing ribonucleoprotein Database Link: NP_149073 Entrez Gene 66118 MouseEntrez Gene 362819 RatEntrez Gene 84324 Human P82979 Background: This gene encodes a protein that is upregulated in response to various cytokines. The encoded protein may play a role in cell cycle progression. A translocation between this gene and the myeloid/lymphoid leukemia gene, resulting in expression of a chimeric protein, has been associated with acute myelomonocytic leukemia. Pseudogenes exist on chromosomes 7 and 8. Alternatively spliced transcript variants have been described. [provided by RefSeq] Synonyms: CIP29; HCC1; HSPC316; THO1 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 CIP29 (SARNP) Rabbit Polyclonal Antibody – TA308582 Note: Seq homology of immunogen across species: Mouse (95%), Chicken (80%), Rat (95%), Bovine (96%) Product images: Sample (30 ug whole cell lysate). -
Snps) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction S
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2018/07/06/dmd.118.082164.DC1 1521-009X/46/9/1372–1381$35.00 https://doi.org/10.1124/dmd.118.082164 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 46:1372–1381, September 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Single Nucleotide Polymorphisms (SNPs) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction s Duan Liu, Sisi Qin, Balmiki Ray,1 Krishna R. Kalari, Liewei Wang, and Richard M. Weinshilboum Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics (D.L., S.Q., B.R., L.W., R.M.W.) and Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.K.), Mayo Clinic, Rochester, Minnesota Received April 22, 2018; accepted June 28, 2018 ABSTRACT Downloaded from CYP1A1 expression can be upregulated by the ligand-activated aryl fashion. LCLs with the AA genotype displayed significantly higher hydrocarbon receptor (AHR). Based on prior observations with AHR-XRE binding and CYP1A1 mRNA expression after 3MC estrogen receptors and estrogen response elements, we tested treatment than did those with the GG genotype. Electrophoretic the hypothesis that single-nucleotide polymorphisms (SNPs) map- mobility shift assay (EMSA) showed that oligonucleotides with the ping hundreds of base pairs (bp) from xenobiotic response elements AA genotype displayed higher LCL nuclear extract binding after (XREs) might influence AHR binding and subsequent gene expres- 3MC treatment than did those with the GG genotype, and mass dmd.aspetjournals.org sion. -
Coordinate Phosphorylation of Multiple Residues on Single AKT1 and AKT2 Molecules
Oncogene (2014) 33, 3463–3472 & 2014 Macmillan Publishers Limited All rights reserved 0950-9232/14 www.nature.com/onc ORIGINAL ARTICLE Coordinate phosphorylation of multiple residues on single AKT1 and AKT2 molecules H Guo1,6, M Gao1,6,YLu1, J Liang1, PL Lorenzi2, S Bai3, DH Hawke4,JLi1, T Dogruluk5, KL Scott5, E Jonasch3, GB Mills1 and Z Ding1 Aberrant AKT activation is prevalent across multiple human cancer lineages providing an important new target for therapy. Twenty- two independent phosphorylation sites have been identified on specific AKT isoforms likely contributing to differential isoform regulation. However, the mechanisms regulating phosphorylation of individual AKT isoform molecules have not been elucidated because of the lack of robust approaches able to assess phosphorylation of multiple sites on a single AKT molecule. Using a nanofluidic proteomic immunoassay (NIA), consisting of isoelectric focusing followed by sensitive chemiluminescence detection, we demonstrate that under basal and ligand-induced conditions that the pattern of phosphorylation events is markedly different between AKT1 and AKT2. Indeed, there are at least 12 AKT1 peaks and at least 5 AKT2 peaks consistent with complex combinations of phosphorylation of different sites on individual AKT molecules. Following insulin stimulation, AKT1 was phosphorylated at Thr308 in the T-loop and Ser473 in the hydrophobic domain. In contrast, AKT2 was only phosphorylated at the equivalent sites (Thr309 and Ser474) at low levels. Further, Thr308 and Ser473 phosphorylation occurred predominantly on the same AKT1 molecules, whereas Thr309 and Ser474 were phosphorylated primarily on different AKT2 molecules. Although basal AKT2 phosphorylation was sensitive to inhibition of phosphatidylinositol 3-kinase (PI3K), basal AKT1 phosphorylation was essentially resistant. -
Expressed Gene Fusions As Frequent Drivers of Poor Outcomes in Hormone Receptor–Positive Breast Cancer
Published OnlineFirst December 14, 2017; DOI: 10.1158/2159-8290.CD-17-0535 RESEARCH ARTICLE Expressed Gene Fusions as Frequent Drivers of Poor Outcomes in Hormone Receptor–Positive Breast Cancer Karina J. Matissek1,2, Maristela L. Onozato3, Sheng Sun1,2, Zongli Zheng2,3,4, Andrew Schultz1, Jesse Lee3, Kristofer Patel1, Piiha-Lotta Jerevall2,3, Srinivas Vinod Saladi1,2, Allison Macleay3, Mehrad Tavallai1,2, Tanja Badovinac-Crnjevic5, Carlos Barrios6, Nuran Beşe7, Arlene Chan8, Yanin Chavarri-Guerra9, Marcio Debiasi6, Elif Demirdögen10, Ünal Egeli10, Sahsuvar Gökgöz10, Henry Gomez11, Pedro Liedke6, Ismet Tasdelen10, Sahsine Tolunay10, Gustavo Werutsky6, Jessica St. Louis1, Nora Horick12, Dianne M. Finkelstein2,12, Long Phi Le2,3, Aditya Bardia1,2, Paul E. Goss1,2, Dennis C. Sgroi2,3, A. John Iafrate2,3, and Leif W. Ellisen1,2 ABSTRACT We sought to uncover genetic drivers of hormone receptor–positive (HR+) breast cancer, using a targeted next-generation sequencing approach for detecting expressed gene rearrangements without prior knowledge of the fusion partners. We identified inter- genic fusions involving driver genes, including PIK3CA, AKT3, RAF1, and ESR1, in 14% (24/173) of unselected patients with advanced HR+ breast cancer. FISH confirmed the corresponding chromo- somal rearrangements in both primary and metastatic tumors. Expression of novel kinase fusions in nontransformed cells deregulates phosphoprotein signaling, cell proliferation, and survival in three- dimensional culture, whereas expression in HR+ breast cancer models modulates estrogen-dependent growth and confers hormonal therapy resistance in vitro and in vivo. Strikingly, shorter overall survival was observed in patients with rearrangement-positive versus rearrangement-negative tumors. Cor- respondingly, fusions were uncommon (<5%) among 300 patients presenting with primary HR+ breast cancer. -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
Analysis of 3-Phosphoinositide-Dependent Kinase-1 Signaling and Function in ES Cells
EXPERIMENTAL CELL RESEARCH 314 (2008) 2299– 2312 available at www.sciencedirect.com www.elsevier.com/locate/yexcr Research Article Analysis of 3-phosphoinositide-dependent kinase-1 signaling and function in ES cells Tanja Tamgüneya,b, Chao Zhangc, Dorothea Fiedlerc, Kevan Shokatc, David Stokoea,⁎ aUCSF Cancer Research Institute, USA bMolecular Medicine Program, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany cDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, 2340 Sutter Street, San Francisco, CA 94115, USA ARTICLE INFORMATION ABSTRACT Article Chronology: 3-Phosphoinositide-dependent kinase-1 (PDK1) phosphorylates and activates several Received 5 February 2008 kinases in the cAMP-dependent, cGMP-dependent and protein kinase C (AGC) family. Revised version received Many putative PDK1 substrates have been identified, but have not been analyzed following 15 April 2008 transient and specific inhibition of PDK1 activity. Here, we demonstrate that a previously Accepted 16 April 2008 characterized PDK1 inhibitor, BX-795, shows biological effects that are not consistent with Available online 23 April 2008 PDK1 inhibition. Therefore, we describe the creation and characterization of a PDK1 mutant, L159G, which can bind inhibitor analogues containing bulky groups that hinder access to the − − Keywords: ATP binding pocket of wild type (WT) kinases. When expressed in PDK1 / ES cells, PDK1 PDK1 L159G restored phosphorylation of PDK1 targets known to be hypophosphorylated in these PKB/Akt cells. Screening of multiple inhibitor analogues showed that 1-NM-PP1 and 3,4-DMB-PP1 − − PI3K optimally inhibited the phosphorylation of PDK1 targets in PDK1 / ES cells expressing PDK1 Chemical genetics L159G but not WT PDK1. These compounds confirmed previously assumed PDK1 substrates, AGC kinases but revealed distinct dephosphorylation kinetics. -
Dynamic Modelling of the Mtor Signalling Network Reveals Complex
www.nature.com/scientificreports OPEN Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by Received: 24 August 2017 Accepted: 1 December 2017 DEPTOR Published: xx xx xxxx Thawfeek M. Varusai1,4 & Lan K. Nguyen2,3,4 The mechanistic Target of Rapamycin (mTOR) signalling network is an evolutionarily conserved network that controls key cellular processes, including cell growth and metabolism. Consisting of the major kinase complexes mTOR Complex 1 and 2 (mTORC1/2), the mTOR network harbours complex interactions and feedback loops. The DEP domain-containing mTOR-interacting protein (DEPTOR) was recently identifed as an endogenous inhibitor of both mTORC1 and 2 through direct interactions, and is in turn degraded by mTORC1/2, adding an extra layer of complexity to the mTOR network. Yet, the dynamic properties of the DEPTOR-mTOR network and the roles of DEPTOR in coordinating mTORC1/2 activation dynamics have not been characterised. Using computational modelling, systems analysis and dynamic simulations we show that DEPTOR confers remarkably rich and complex dynamic behaviours to mTOR signalling, including abrupt, bistable switches, oscillations and co-existing bistable/oscillatory responses. Transitions between these distinct modes of behaviour are enabled by modulating DEPTOR expression alone. We characterise the governing conditions for the observed dynamics by elucidating the network in its vast multi-dimensional parameter space, and develop strategies to identify core network design motifs underlying these dynamics. Our fndings provide new systems-level insights into the complexity of mTOR signalling contributed by DEPTOR. Discovered in the early 1990s as an anti-fungal agent produced by the soil bacterium Streptomyces hygroscopicus, rapamycin has continually surprised scientists with its diverse clinical efects including potent immunosuppres- sive and anti-tumorigenic properties1–3. -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Mutational Screening of RET, HRAS, KRAS, NRAS, BRAF, AKT1, and CTNNB1 in Medullary Thyroid Carcinoma
ANTICANCER RESEARCH 31: 4179-4184 (2011) Mutational Screening of RET, HRAS, KRAS, NRAS, BRAF, AKT1, and CTNNB1 in Medullary Thyroid Carcinoma HANS-JUERGEN SCHULTEN1, JAUDAH AL-MAGHRABI2,3, KHALID AL-GHAMDI4, SHERINE SALAMA2, SAAD AL-MUHAYAWI5, ADEEL CHAUDHARY1, OSMAN HAMOUR4, ADEL ABUZENADAH1, MAMDOOH GARI1 and MOHAMMED AL-QAHTANI1 1Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia; 2Department of Pathology, Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia; 3Department of Pathology and 4Department of Surgery, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia; 5Department of Ear, Nose and Throat, Head and Neck Surgery, Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia Abstract. Background: Screening medullary thyroid MTCs were inherited RET-positive cases. Mutational carcinomas (MTCs) for rearranged during transfection screening in HRAS, KRAS, NRAS, BRAF, AKT1, and (RET) mutations becomes increasingly important for clinical CTNNB1 disclosed one sporadic RET-negative MTC (stage assessment of the disease. The role of mutations in other III) with mutation in HRAS codon 13 (G13R). Conclusion: genes including RAS (i.e. HRAS, KRAS, and NRAS), v-raf Our study supports the clinical relevance of screening MTC murine sarcoma viral oncogene homolog B1 (BRAF), v-akt patients for RET mutations. The role of RAS mutations, in murine thymoma viral oncogene homolog 1 (AKT1), and particular HRAS mutations, in sporadic RET-negative MTC CTNNB1 (β-catenin) is unknown or not fully explored yet for has not been fully explored yet. Mutations in BRAF, AKT1, this disease. Materials and Methods: Formalin-fixed and and CTNNB1 are likely not to play a role in MTC. -
Divergent Regulation of Akt1 and Akt2 Isoforms in Insulin Target Tissues of Obese Zucker Rats Young-Bum Kim, Odile D
Divergent Regulation of Akt1 and Akt2 Isoforms in Insulin Target Tissues of Obese Zucker Rats Young-Bum Kim, Odile D. Peroni, Thomas F. Franke, and Barbara B. Kahn To determine whether impaired Akt (protein kinase B or rac) activation contributes to insulin resistance in vivo, we examined the expression, phosphorylation, he effect of insulin to acutely stimulate glucose and kinase activities of Akt1 and Akt2 isoforms in uptake and metabolism in peripheral tissues is insulin target tissues of insulin-resistant obese Zucker essential for normal glucose homeostasis. Resis- ؋ rats. In lean rats, insulin (10 U/kg i.v. 2.5 min) stim- tance to this effect is a major pathogenic feature ulated Akt1 activity 6.2-, 8.8-, and 4.4-fold and Akt2 T of type 2 diabetes (1,2) and contributes to the morbidity of activity 5.4-, 9.3-, and 1.8-fold in muscle, liver, and adi- pose tissue, respectively. In obese rats, insulin-stimu- obesity as well as type 1 diabetes (3). Whereas many of the lated Akt1 activity decreased 30% in muscle and 21% proximal steps in insulin signaling have been identified, the in adipose tissue but increased 37% in liver compared downstream pathways for insulin action to maintain glucose with lean littermates. Insulin-stimulated Akt2 activity homeostasis are still unknown. Insulin action involves a decreased 29% in muscle and 37% in liver but series of signaling cascades initiated by insulin binding to its increased 24% in adipose tissue. Akt2 protein levels receptor and eliciting receptor autophosphorylation and acti- were reduced 56% in muscle and 35% in liver of obese vation of receptor tyrosine kinases, which result in tyrosine rats, but Akt1 expression was unaltered. -
AKT1 Mutations in Bladder Cancer: Identification of a Novel Oncogenic Mutation That Can Co-Operate with E17K
Oncogene (2010) 29, 150–155 & 2010 Macmillan Publishers Limited All rights reserved 0950-9232/10 $32.00 www.nature.com/onc SHORT COMMUNICATION AKT1 mutations in bladder cancer: identification of a novel oncogenic mutation that can co-operate with E17K JM Askham1, F Platt1, PA Chambers2, H Snowden2, CF Taylor2 and MA Knowles1 1Cancer Research UK Clinical Centre, Leeds Institute of Molecular Medicine, St James’s University Hospital, Leeds, UK and 2Cancer Research UK Genome Variation Laboratory, St James’s University Hospital, Leeds, UK The phosphatidylinositol-3-kinase (PI3 kinase)-AKT (Bozulic et al., 2008). AKT is an evolutionarily conserved pathway is frequently activated in cancer. Recent reports kinase, also known as protein kinase B. There are three have identified a transforming mutation of AKT1 in members of the AKT family (AKT1-3), encoded by breast, colorectal, ovarian and lung cancers. We report separate genes, but with over 80% amino-acid sequence here the occurrence of this mutation in bladder tumours. identity. AKT occupies a key regulatory node in the PI3K The AKT1 G49A (E17K) mutation was found in 2/44 pathway, below which the pathway branches significantly (4.8%) bladder cancer cell lines and 5/184 (2.7%) bladder to influence a wide range of cellular processes that pro- tumours. Cell lines expressing mutant AKT1 show mote cell cycle progression, cell growth, cellular energy constitutive AKT1 activation under conditions of growth metabolism and resistance to apoptosis. factor withdrawal. We also detected a novel AKT1 Genes encoding many of the components of the PI3 mutation G145A (E49K). This mutation also enhances kinase pathway are targeted by germline and somatic AKT activation and shows transforming activity in mutations, amplifications, rearrangements, over-expres- NIH3T3 cells, though activity is weaker than that of sion, methylation and aberrant splicing (Hennessy et al., E17K.