Genome-Wide Analysis of Host-Chromosome Binding Sites For
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Tak1 Polyclonal Antibody Catalog # AP72719
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Tak1 Polyclonal Antibody Catalog # AP72719 Specification Tak1 Polyclonal Antibody - Product Information Application IF Primary Accession O43318 Reactivity Human, Mouse, Rat Host Rabbit Clonality Polyclonal Tak1 Polyclonal Antibody - Additional Information Gene ID 6885 Other Names MAP3K7; TAK1; Mitogen-activated protein kinase kinase kinase 7; Transforming growth factor-beta-activated kinase 1; TGF-beta-activated kinase 1 Dilution IF~~IF: 1:50-200 Western Blot: 1/500 - 1/2000. Immunohistochemistry: 1/100 - 1/300. ELISA: 1/40000. Not yet tested in other applications. Format Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Storage Conditions -20℃ Tak1 Polyclonal Antibody - Protein Information Name MAP3K7 {ECO:0000303|PubMed:28397838, ECO:0000312|HGNC:HGNC:6859} Function Serine/threonine kinase which acts as an essential component of the MAP kinase signal transduction pathway. Plays an important role in the cascades of cellular responses evoked by changes in the environment. Mediates signal transduction of TRAF6, various cytokines including Page 1/3 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 interleukin-1 (IL-1), transforming growth factor-beta (TGFB), TGFB-related factors like BMP2 and BMP4, toll-like receptors (TLR), tumor necrosis factor receptor CD40 and B-cell receptor (BCR). Ceramides are also able to activate MAP3K7/TAK1. Once activated, acts as an upstream activator of the MKK/JNK signal transduction cascade and the p38 MAPK signal transduction cascade through the phosphorylation and activation of several MAP kinase kinases like MAP2K1/MEK1, MAP2K3/MKK3, MAP2K6/MKK6 and MAP2K7/MKK7. -
University of Milano-Bicocca Department of Medicine and Surgery Circulating Levels of Soluble Receptor for Advanced Glycation En
University of Milano-Bicocca Department of medicine and surgery PhD PROGRAM IN TRANSLATIONAL AND MOLECULAR MEDICINE DIMET Circulating levels of soluble Receptor for Advanced Glycation End-products (sRAGE) decrease with aging and may predict age- related cardiac remodeling Coordinator: Prof. Andrea Biondi Tutor: Prof. Giulio Pompilio Co-tutor: Dr. Angela Raucci Dr. Filippo Zeni Matr N°: 787963 XXIX CYCLE Academic Year 2015-2016 Table of contents Chapter 1……………..……………………………………………………………….3 General Introduction ............................................................................. 4 Aging ............................................................................................................ 4 Molecular mechanisms of aging ................................................................ 5 DNA Damage and instability .............................................................................. 5 DNA damage and apoptosis ............................................................................... 6 Telomere shortening ............................................................................................. 7 Epigenetic Alterations .......................................................................................... 8 Mitochondrial dysfunction .............................................................................. 10 Stem cells exhaustion ......................................................................................... 11 Biomarkers of aging .......................................................................................... -
Wo 2010/075007 A2
(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 1 July 2010 (01.07.2010) WO 2010/075007 A2 (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12Q 1/68 (2006.01) G06F 19/00 (2006.01) kind of national protection available): AE, AG, AL, AM, C12N 15/12 (2006.01) AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, (21) International Application Number: DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, PCT/US2009/067757 HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (22) International Filing Date: KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, 11 December 2009 ( 11.12.2009) ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PE, PG, PH, PL, PT, RO, RS, RU, SC, SD, (25) Filing Language: English SE, SG, SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, (26) Publication Language: English TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 12/3 16,877 16 December 2008 (16.12.2008) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, (71) Applicant (for all designated States except US): DODDS, ZW), Eurasian (AM, AZ, BY, KG, KZ, MD, RU, TJ, W., Jean [US/US]; 938 Stanford Street, Santa Monica, TM), European (AT, BE, BG, CH, CY, CZ, DE, DK, EE, CA 90403 (US). -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Title a New Centrosomal Protein Regulates Neurogenesis By
Title A new centrosomal protein regulates neurogenesis by microtubule organization Authors: Germán Camargo Ortega1-3†, Sven Falk1,2†, Pia A. Johansson1,2†, Elise Peyre4, Sanjeeb Kumar Sahu5, Loïc Broic4, Camino De Juan Romero6, Kalina Draganova1,2, Stanislav Vinopal7, Kaviya Chinnappa1‡, Anna Gavranovic1, Tugay Karakaya1, Juliane Merl-Pham8, Arie Geerlof9, Regina Feederle10,11, Wei Shao12,13, Song-Hai Shi12,13, Stefanie M. Hauck8, Frank Bradke7, Victor Borrell6, Vijay K. Tiwari§, Wieland B. Huttner14, Michaela Wilsch- Bräuninger14, Laurent Nguyen4 and Magdalena Götz1,2,11* Affiliations: 1. Institute of Stem Cell Research, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 2. Physiological Genomics, Biomedical Center, Ludwig-Maximilian University Munich, Germany. 3. Graduate School of Systemic Neurosciences, Biocenter, Ludwig-Maximilian University Munich, Germany. 4. GIGA-Neurosciences, Molecular regulation of neurogenesis, University of Liège, Belgium 5. Institute of Molecular Biology (IMB), Mainz, Germany. 6. Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d’Alacant, Spain. 7. Laboratory for Axon Growth and Regeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. 8. Research Unit Protein Science, Helmholtz Centre Munich, German Research Center for Environmental Health, Munich, Germany. 9. Protein Expression and Purification Facility, Institute of Structural Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 10. Institute for Diabetes and Obesity, Monoclonal Antibody Core Facility, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 11. SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig- Maximilian University Munich, Germany. 12. Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, USA 13. -
Influencers on Thyroid Cancer Onset: Molecular Genetic Basis
G C A T T A C G G C A T genes Review Influencers on Thyroid Cancer Onset: Molecular Genetic Basis Berta Luzón-Toro 1,2, Raquel María Fernández 1,2, Leticia Villalba-Benito 1,2, Ana Torroglosa 1,2, Guillermo Antiñolo 1,2 and Salud Borrego 1,2,* 1 Department of Maternofetal Medicine, Genetics and Reproduction, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Seville, Spain; [email protected] (B.L.-T.); [email protected] (R.M.F.); [email protected] (L.V.-B.); [email protected] (A.T.); [email protected] (G.A.) 2 Centre for Biomedical Network Research on Rare Diseases (CIBERER), 41013 Seville, Spain * Correspondence: [email protected]; Tel.: +34-955-012641 Received: 3 September 2019; Accepted: 6 November 2019; Published: 8 November 2019 Abstract: Thyroid cancer, a cancerous tumor or growth located within the thyroid gland, is the most common endocrine cancer. It is one of the few cancers whereby incidence rates have increased in recent years. It occurs in all age groups, from children through to seniors. Most studies are focused on dissecting its genetic basis, since our current knowledge of the genetic background of the different forms of thyroid cancer is far from complete, which poses a challenge for diagnosis and prognosis of the disease. In this review, we describe prevailing advances and update our understanding of the molecular genetics of thyroid cancer, focusing on the main genes related with the pathology, including the different noncoding RNAs associated with the disease. -
UCSD MOLECULE PAGES Doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All Rights Reserved
UCSD MOLECULE PAGES doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All rights reserved. Review Article Open Access WAVE2 Tadaomi Takenawa1, Shiro Suetsugu2, Daisuke Yamazaki3, Shusaku Kurisu1 WASP family verprolin-homologous protein 2 (WAVE2, also called WASF2) was originally identified by its sequence similarity at the carboxy-terminal VCA (verprolin, cofilin/central, acidic) domain with Wiskott-Aldrich syndrome protein (WASP) and N-WASP (neural WASP). In mammals, WAVE2 is ubiquitously expressed, and its two paralogs, WAVE1 (also called suppressor of cAMP receptor 1, SCAR1) and WAVE3, are predominantly expressed in the brain. The VCA domain of WASP and WAVE family proteins can activate the actin-related protein 2/3 (Arp2/3) complex, a major actin nucleator in cells. Proteins that can activate the Arp2/3 complex are now collectively known as nucleation-promoting factors (NPFs), and the WASP and WAVE families are a founding class of NPFs. The WAVE family has an amino-terminal WAVE homology domain (WHD domain, also called the SCAR homology domain, SHD) followed by the proline-rich region that interacts with various Src-homology 3 (SH3) domain proteins. The VCA domain located at the C-terminus. WAVE2, like WAVE1 and WAVE3, constitutively forms a huge heteropentameric protein complex (the WANP complex), binding through its WHD domain with Abi-1 (or its paralogs, Abi-2 and Abi-3), HSPC300 (also called Brick1), Nap1 (also called Hem-2 and NCKAP1), Sra1 (also called p140Sra1 and CYFIP1; its paralog is PIR121 or CYFIP2). The WANP complex is recruited to the plasma membrane by cooperative action of activated Rac GTPases and acidic phosphoinositides. -
Human CD27 / TNFRSF7 Protein, His Tag (MALS Verified) Catalog # CD7-H522b
Human CD27 / TNFRSF7 Protein, His Tag (MALS Verified) Catalog # CD7-H522b Synonym Formulation CD27,TNFRSF7,S152,T14,Tp55 Lyophilized from 0.22 μm filtered solution in PBS, pH7.4. Normally trehalose is Source added as protectant before lyophilization. Human CD27, His Tag (CD7-H522b) is expressed from human 293 cells Contact us for customized product form or formulation. (HEK293). It contains AA Thr 21 - Ile 192 (Accession # P26842-1). Reconstitution Predicted N-terminus: Thr 21 Molecular Characterization Please see Certificate of Analysis for specific instructions. For best performance, we strongly recommend you to follow the reconstitution protocol provided in the CoA. Storage This protein carries a polyhistidine tag at the C-terminus. The protein has a calculated MW of 21.1 kDa. The protein migrates as 35-45 For long term storage, the product should be stored at lyophilized state at -20°C kDa under reducing (R) condition (SDS-PAGE) due to glycosylation. or lower. Please avoid repeated freeze-thaw cycles. Endotoxin This product is stable after storage at: Less than 1.0 EU per μg by the LAL method. -20°C to -70°C for 12 months in lyophilized state; ° Purity -70 C for 3 months under sterile conditions after reconstitution. >90% as determined by SDS-PAGE. SDS-PAGE SEC-MALS Human CD27, His Tag on SDS-PAGE under reducing (R) condition. The gel The purity of Human CD27, His Tag (Cat. No. CD7-H522b) was more than was stained overnight with Coomassie Blue. The purity of the protein is greater 85% and the molecular weight of this protein is around 38-48 kDa verified by than 90%. -
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. -
Systems Analysis Implicates WAVE2&Nbsp
JACC: BASIC TO TRANSLATIONAL SCIENCE VOL.5,NO.4,2020 ª 2020 THE AUTHORS. PUBLISHED BY ELSEVIER ON BEHALF OF THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION. THIS IS AN OPEN ACCESS ARTICLE UNDER THE CC BY-NC-ND LICENSE (http://creativecommons.org/licenses/by-nc-nd/4.0/). PRECLINICAL RESEARCH Systems Analysis Implicates WAVE2 Complex in the Pathogenesis of Developmental Left-Sided Obstructive Heart Defects a b b b Jonathan J. Edwards, MD, Andrew D. Rouillard, PHD, Nicolas F. Fernandez, PHD, Zichen Wang, PHD, b c d d Alexander Lachmann, PHD, Sunita S. Shankaran, PHD, Brent W. Bisgrove, PHD, Bradley Demarest, MS, e f g h Nahid Turan, PHD, Deepak Srivastava, MD, Daniel Bernstein, MD, John Deanfield, MD, h i j k Alessandro Giardini, MD, PHD, George Porter, MD, PHD, Richard Kim, MD, Amy E. Roberts, MD, k l m m,n Jane W. Newburger, MD, MPH, Elizabeth Goldmuntz, MD, Martina Brueckner, MD, Richard P. Lifton, MD, PHD, o,p,q r,s t d Christine E. Seidman, MD, Wendy K. Chung, MD, PHD, Martin Tristani-Firouzi, MD, H. Joseph Yost, PHD, b u,v Avi Ma’ayan, PHD, Bruce D. Gelb, MD VISUAL ABSTRACT Edwards, J.J. et al. J Am Coll Cardiol Basic Trans Science. 2020;5(4):376–86. ISSN 2452-302X https://doi.org/10.1016/j.jacbts.2020.01.012 JACC: BASIC TO TRANSLATIONALSCIENCEVOL.5,NO.4,2020 Edwards et al. 377 APRIL 2020:376– 86 WAVE2 Complex in LVOTO HIGHLIGHTS ABBREVIATIONS AND ACRONYMS Combining CHD phenotype–driven gene set enrichment and CRISPR knockdown screening in zebrafish is an effective approach to identifying novel CHD genes. -
RET/PTC Activation in Papillary Thyroid Carcinoma
European Journal of Endocrinology (2006) 155 645–653 ISSN 0804-4643 INVITED REVIEW RET/PTC activation in papillary thyroid carcinoma: European Journal of Endocrinology Prize Lecture Massimo Santoro1, Rosa Marina Melillo1 and Alfredo Fusco1,2 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR ‘G. Salvatore’, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, University ‘Federico II’, Via S. Pansini, 5, 80131 Naples, Italy and 2NOGEC (Naples Oncogenomic Center)–CEINGE, Biotecnologie Avanzate & SEMM, European School of Molecular Medicine, Naples, Italy (Correspondence should be addressed to M Santoro; Email: [email protected]) Abstract Papillary thyroid carcinoma (PTC) is frequently associated with RET gene rearrangements that generate the so-called RET/PTC oncogenes. In this review, we examine the data about the mechanisms of thyroid cell transformation, activation of downstream signal transduction pathways and modulation of gene expression induced by RET/PTC. These findings have advanced our understanding of the processes underlying PTC formation and provide the basis for novel therapeutic approaches to this disease. European Journal of Endocrinology 155 645–653 RET/PTC rearrangements in papillary growth factor, have been described in a fraction of PTC thyroid carcinoma patients (7). As illustrated in figure 1, many different genes have been found to be rearranged with RET in The rearranged during tansfection (RET) proto-onco- individual PTC patients. RET/PTC1 and 3 account for gene, located on chromosome 10q11.2, was isolated in more than 90% of all rearrangements and are hence, by 1985 and shown to be activated by a DNA rearrange- far, the most frequent variants (8–11). They result from ment (rearranged during transfection) (1).As the fusion of RET to the coiled-coil domain containing illustrated in Fig. -
Protein Phosphorylation Sites Notes References Transcription Factors
Protein Phosphorylation Notes References sites Transcription AML1 Ser249, Ser266 Phosphorylation of the acute myelogenous leukemia 1 (AML1) potentially regulates its (Tanaka et al., 1996) Factors (RUNX1) transactivation potential and thereby modifies myeloid hematopoietic differentiation. Androgen Ser514 Phosphorylation of androgen receptor by ERKs is controversial. May play a role in survival (Yeh et al., 1999) receptor and proliferation of prostate cells. Arix/Phox2a Ser36, Ser71 Phosphorylation of Arix by ERK1/2 inhibits its ability to interact with target genes. (Hsieh et al., 2005) ATF2 Thr71 This phosphorylation together with the phosphorylation of Thr69 by p38MAPK induces (Ouwens et al., 2002) activation of ATF2. Beta2 (Neuro Ser274 Phosphorylation of this HLH transcription factor induces its glucose-sensitive transactivation (Khoo et al. 2003) D1) and enhances its capability to heterodimerize with E47/12 and bind to DNA. BCL-6 Ser333, Ser343 Phosphorylation of BCL-6 induces its degradation that is important for B-cell differentiation (Niu et al., 1998) and antibody response. BMAL1 Ser527, Thr534, Phosphorylation of this helix-loop-helix-PAS transcription factor inhibits its activity as a clock (Sanada et al., 2002) Ser599 (chicken) oscillator. CBP Thr188 Phosphorylation of the C-terminal region of the CREB binding protein (CBP, and also its (Janknecht and homolog p300) enhances its transactivation potential. Nordheim, 1996) C/EBPb Thr188 (rat) Phosphorylation of the CCAAT/enhancer-binding protein-b (C/EBPb) by ERK2 (not ERK1) (Hanlon et al., 2001) enhances its interaction with SRF and its transactivation activity. CRY1/2 Ser265, Ser557 Phosphorylation of the Cryptochromes proteins CRY1 and 2 results in attenuation of their (Sanada et al., 2004) (CRY1, mouse) ability to inhibit BMAL1:CLOCK-mediated transcription.