The Cellular Response to Heat Stress in the Goby Gillichthys Mirabilis: a Cdna Microarray and Protein-Level Analysis Bradley A
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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 -
Prioritization and Comprehensive Analysis of Genes Associated with Melanoma
ONCOLOGY LETTERS 18: 127-136, 2019 Prioritization and comprehensive analysis of genes associated with melanoma CHENG FENG, MING BAI, HAILIN ZHANG, ANG ZENG and WENCHAO ZHANG Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing 100730, P.R. China Received August 13, 2018; Accepted February 28, 2019 DOI: 10.3892/ol.2019.10284 Abstract. Melanoma is a malignant tumor derived from accuracy and appropriate treatment due to medical advances, melanocytes, which occurs mostly in the skin. A major chal- its pathogenesis and natural course remain unclear. lenge in cancer research is the biological interpretation of the Melanoma is a malignant type of tumor, which may be complexity of cancer somatic mutation profiles. The aim of the composed of epidermal melanocytes, nevocytes or dermal present study was to obtain a comprehensive understanding of melanocytes. Epidemiology studies revealed that melanoma the formation and development of melanoma and to identify its is likely to be caused by hereditary factors and environmental associated genes. In the present study, a pipeline was proposed risk factors, including sex, age, ethnicity and geographic loca- for investigating key genes associated with melanoma based tion (6,7). This is in line with the most vital and potentially on the Online Mendelian Inheritance in Man and Search Tool reversible risk factor of malignant melanoma arising from for the Retrieval of Interacting Genes/Proteins databases an interaction between environmental exposure and genetic through a random walk model. Additionally, functional enrich- susceptibility. Gandini et al (8) revealed the association ment analysis was performed for key genes associated with between melanoma and ultraviolet (UV)-irradiation, and melanoma. -
AGC Kinases in Mtor Signaling, in Mike Hall and Fuyuhiko Tamanoi: the Enzymes, Vol
Provided for non-commercial research and educational use only. Not for reproduction, distribution or commercial use. This chapter was originally published in the book, The Enzymes, Vol .27, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's institution, for non-commercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who know you, and providing a copy to your institution’s administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution’s website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at: http://www.elsevier.com/locate/permissionusematerial From: ESTELA JACINTO, AGC Kinases in mTOR Signaling, In Mike Hall and Fuyuhiko Tamanoi: The Enzymes, Vol. 27, Burlington: Academic Press, 2010, pp.101-128. ISBN: 978-0-12-381539-2, © Copyright 2010 Elsevier Inc, Academic Press. Author's personal copy 7 AGC Kinases in mTOR Signaling ESTELA JACINTO Department of Physiology and Biophysics UMDNJ-Robert Wood Johnson Medical School, Piscataway New Jersey, USA I. Abstract The mammalian target of rapamycin (mTOR), a protein kinase with homology to lipid kinases, orchestrates cellular responses to growth and stress signals. Various extracellular and intracellular inputs to mTOR are known. mTOR processes these inputs as part of two mTOR protein com- plexes, mTORC1 or mTORC2. Surprisingly, despite the many cellular functions that are linked to mTOR, there are very few direct mTOR substrates identified to date. -
MAPK1/MAPK3 Monoclonal Antibody, Clone Sb46b
MAPK1/MAPK3 monoclonal antibody, clone SB46b Catalog # : MAB3337 規格 : [ 500 ug ] List All Specification Application Image Product Mouse monoclonal antibody raised against recombinant Western Blot Description: MAPK1/MAPK3. Immunogen: Recombinant protein corresponding to human MAPK1/MAPK3. Host: Mouse enlarge Reactivity: Human Immunoprecipitation Specificity: human Erk 1 and human Erk2. Form: Liquid Isotype: IgG2a Recommend Western Blot (1-2 ug/mL) Usage: Immunoprecipitation (10-15ug) The optimal working dilution should be determined by the end user. Storage Buffer: In 100 mM BBS, pH 8.0 Storage Store at 4°C. Instruction: Datasheet: Download Publication Reference 1. Hydrophobic as well as charged residues in both MEK1 and ERK2 are important for their proper docking. Xu Be, Stippec S, Robinson FL, Cobb MH.J Biol Chem. 2001 Jul 13;276(28):26509-15. Epub 2001 May 14. 2. Mitogen-activated protein (MAP) kinase pathways: regulation and physiological functions. Pearson G, Robinson F, Beers Gibson T, Xu BE, Karandikar M, Berman K, Cobb MH.Endocr Rev. 2001 Apr;22(2):153-83. 3. Molecular cloning, expression, and characterization of the human mitogen-activated protein kinase p44erk1. Charest DL, Mordret G, Harder KW, Jirik F, Pelech SL.Mol Cell Biol. 1993 Aug;13(8):4679-90. Applications Western Blot Page 1 of 3 2021/6/20 Human PBMC (Lane 1) and spleen lysate (Lane 2) was stained with MAPK1/3 monoclonal antibody, clone SB46b (Cat # MAB3337). Goat anti-Mouse IgG2a was used to develop. Immunoprecipitation MAPK1 MAPK3 Gene Information Entrez GeneID: 5595 Gene Name: MAPK3 Gene Alias: ERK1,HS44KDAP,HUMKER1A,MGC20180,P44ERK1,P44MAPK,PRKM3 Gene mitogen-activated protein kinase 3 Description: Omim ID: 601795 Gene Ontology: Hyperlink Gene Summary: The protein encoded by this gene is a member of the MAP kinase family. -
N-Glycan Trimming in the ER and Calnexin/Calreticulin Cycle
Neurotransmitter receptorsGABA and A postsynapticreceptor activation signal transmission Ligand-gated ion channel transport GABAGABA Areceptor receptor alpha-5 alpha-1/beta-1/gamma-2 subunit GABA A receptor alpha-2/beta-2/gamma-2GABA receptor alpha-4 subunit GABAGABA receptor A receptor beta-3 subunitalpha-6/beta-2/gamma-2 GABA-AGABA receptor; A receptor alpha-1/beta-2/gamma-2GABA receptoralpha-3/beta-2/gamma-2 alpha-3 subunit GABA-A GABAreceptor; receptor benzodiazepine alpha-6 subunit site GABA-AGABA-A receptor; receptor; GABA-A anion site channel (alpha1/beta2 interface) GABA-A receptor;GABA alpha-6/beta-3/gamma-2 receptor beta-2 subunit GABAGABA receptorGABA-A receptor alpha-2receptor; alpha-1 subunit agonist subunit GABA site Serotonin 3a (5-HT3a) receptor GABA receptorGABA-C rho-1 subunitreceptor GlycineSerotonin receptor subunit3 (5-HT3) alpha-1 receptor GABA receptor rho-2 subunit GlycineGlycine receptor receptor subunit subunit alpha-2 alpha-3 Ca2+ activated K+ channels Metabolism of ingested SeMet, Sec, MeSec into H2Se SmallIntermediateSmall conductance conductance conductance calcium-activated calcium-activated calcium-activated potassium potassium potassiumchannel channel protein channel protein 2 protein 1 4 Small conductance calcium-activatedCalcium-activated potassium potassium channel alpha/beta channel 1 protein 3 Calcium-activated potassiumHistamine channel subunit alpha-1 N-methyltransferase Neuraminidase Pyrimidine biosynthesis Nicotinamide N-methyltransferase Adenosylhomocysteinase PolymerasePolymeraseHistidine basic -
Anti-EGFR Monoclonal Antibodies and EGFR Tyrosine Kinase Inhibitors As Combination Therapy for Triple-Negative Breast Cancer
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 45 Research Paper Anti-EGFR monoclonal antibodies and EGFR tyrosine kinase inhibitors as combination therapy for triple-negative breast cancer Abderrahim El Guerrab1,2, Mahchid Bamdad2,3, Fabrice Kwiatkowski1, Yves-Jean Bignon1,2,*, Frédérique Penault-Llorca1,2,*, Corinne Aubel1,2 1Centre Jean Perrin - ERTICa-EA4677, BP392, 63011 Clermont-Ferrand Cedex, France 2Clermont Université - Université d’Auvergne - ERTICa-EA4677, Faculté de Médecine, BP38, 63001 Clermont-Ferrand Cedex, France 3Clermont Université - Université d’Auvergne - ERTICa-EA4677, Institut Universitaire de Technologie, Département Génie Biologique, Ensemble Universitaire des Cézeaux, BP86, 63172 Aubière Cedex, France *These authors have contributed equally to this work Correspondence to: Yves-Jean Bignon, email: [email protected] Keywords: triple-negative breast cancer, epidermal growth factor receptor, anti-EGFR targeted therapy, cytotoxicity, cell cycle Received: November 09, 2015 Accepted: August 22, 2016 Published: September 15, 2016 ABSTRACT Triple-negative breast cancer (TNBC) is characterized by overexpression of epidermal growth factor receptor (EGFR) and activation of its downstream signaling pathways. Dual targeting of EGFR using one monoclonal antibody (mAb; cetuximab or panitumumab) and one tyrosine kinase inhibitor (EGFR-TKI; gefitinib or erlotinib) is a potential therapeutic approach. We investigated the effect of these therapies in EGFR-expressing TNBC cell lines that do or do not harbor the main activating mutations of EGFR pathways. Cell lines were sensitive to EGFR-TKIs, whereas mAbs were active only in MDA-MB-468 (EGFR amplification) and SUM-1315 (KRAS and PTEN wild-type) cells. MDA-MB-231 (KRAS mutated) and HCC-1937 (PTEN deletion) cells were resistant to mAbs. -
Modulation of NF-Κb Signalling by Microbial Pathogens
REVIEWS Modulation of NF‑κB signalling by microbial pathogens Masmudur M. Rahman and Grant McFadden Abstract | The nuclear factor-κB (NF‑κB) family of transcription factors plays a central part in the host response to infection by microbial pathogens, by orchestrating the innate and acquired host immune responses. The NF‑κB proteins are activated by diverse signalling pathways that originate from many different cellular receptors and sensors. Many successful pathogens have acquired sophisticated mechanisms to regulate the NF‑κB signalling pathways by deploying subversive proteins or hijacking the host signalling molecules. Here, we describe the mechanisms by which viruses and bacteria micromanage the host NF‑κB signalling circuitry to favour the continued survival of the pathogen. The nuclear factor-κB (NF-κB) family of transcription Signalling targets upstream of NF‑κB factors regulates the expression of hundreds of genes that NF-κB proteins are tightly regulated in both the cyto- are associated with diverse cellular processes, such as pro- plasm and the nucleus6. Under normal physiological liferation, differentiation and death, as well as innate and conditions, NF‑κB complexes remain inactive in the adaptive immune responses. The mammalian NF‑κB cytoplasm through a direct interaction with proteins proteins are members of the Rel domain-containing pro- of the inhibitor of NF-κB (IκB) family, including IκBα, tein family: RELA (also known as p65), RELB, c‑REL, IκBβ and IκBε (also known as NF-κBIα, NF-κBIβ and the NF-κB p105 subunit (also known as NF‑κB1; which NF-κBIε, respectively); IκB proteins mask the nuclear is cleaved into the p50 subunit) and the NF-κB p100 localization domains in the NF‑κB complex, thus subunit (also known as NF‑κB2; which is cleaved into retaining the transcription complex in the cytoplasm. -
Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene, -
Combined Inhibition of MEK and Plk1 Has Synergistic Anti-Tumor Activity in NRAS Mutant Melanoma
Combined inhibition of MEK and Plk1 has synergistic anti-tumor activity in NRAS mutant melanoma The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Posch, C., B. Cholewa, I. Vujic, M. Sanlorenzo, J. Ma, S. Kim, S. Kleffel, et al. 2015. “Combined inhibition of MEK and Plk1 has synergistic anti-tumor activity in NRAS mutant melanoma.” The Journal of investigative dermatology 135 (10): 2475-2483. doi:10.1038/jid.2015.198. http://dx.doi.org/10.1038/jid.2015.198. Published Version doi:10.1038/jid.2015.198 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860102 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author Manuscript Author ManuscriptJ Invest Author ManuscriptDermatol. Author Author Manuscript manuscript; available in PMC 2016 April 01. Published in final edited form as: J Invest Dermatol. 2015 October ; 135(10): 2475–2483. doi:10.1038/jid.2015.198. Combined inhibition of MEK and Plk1 has synergistic anti-tumor activity in NRAS mutant melanoma C Posch#1,2,3,*, BD Cholewa#4, I Vujic1,3, M Sanlorenzo1,5, J Ma1, ST Kim1, S Kleffel2, T Schatton2, K Rappersberger3, R Gutteridge4, N Ahmad4, and S Ortiz/Urda1 1 University of California San Francisco, Department of Dermatology, Mt. Zion Cancer Research -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
Curcumin Alters Gene Expression-Associated DNA Damage, Cell Cycle, Cell Survival and Cell Migration and Invasion in NCI-H460 Human Lung Cancer Cells in Vitro
ONCOLOGY REPORTS 34: 1853-1874, 2015 Curcumin alters gene expression-associated DNA damage, cell cycle, cell survival and cell migration and invasion in NCI-H460 human lung cancer cells in vitro I-TSANG CHIANG1,2, WEI-SHU WANG3, HSIN-CHUNG LIU4, SU-TSO YANG5, NOU-YING TANG6 and JING-GUNG CHUNG4,7 1Department of Radiation Oncology, National Yang‑Ming University Hospital, Yilan 260; 2Department of Radiological Technology, Central Taiwan University of Science and Technology, Taichung 40601; 3Department of Internal Medicine, National Yang‑Ming University Hospital, Yilan 260; 4Department of Biological Science and Technology, China Medical University, Taichung 404; 5Department of Radiology, China Medical University Hospital, Taichung 404; 6Graduate Institute of Chinese Medicine, China Medical University, Taichung 404; 7Department of Biotechnology, Asia University, Taichung 404, Taiwan, R.O.C. Received March 31, 2015; Accepted June 26, 2015 DOI: 10.3892/or.2015.4159 Abstract. Lung cancer is the most common cause of cancer CARD6, ID1 and ID2 genes, associated with cell survival and mortality and new cases are on the increase worldwide. the BRMS1L, associated with cell migration and invasion. However, the treatment of lung cancer remains unsatisfactory. Additionally, 59 downregulated genes exhibited a >4-fold Curcumin has been shown to induce cell death in many human change, including the DDIT3 gene, associated with DNA cancer cells, including human lung cancer cells. However, the damage; while 97 genes had a >3- to 4-fold change including the effects of curcumin on genetic mechanisms associated with DDIT4 gene, associated with DNA damage; the CCPG1 gene, these actions remain unclear. Curcumin (2 µM) was added associated with cell cycle and 321 genes with a >2- to 3-fold to NCI-H460 human lung cancer cells and the cells were including the GADD45A and CGREF1 genes, associated with incubated for 24 h. -
Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach
Cancers 2019, 11, x S1 of S9 Supplementary Materials: Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach Young Rae Kim, Yong Wan Kim, Suh Eun Lee, Hye Won Yang and Sung Young Kim Table S1. Characteristics of individual studies. Sample Size Origin of Cancer Drug Dataset Platform S AR (Cell Lines) Lung cancer Agilent-014850 Whole Human GSE34228 26 26 (PC9) Genome Microarray 4x44K Gefitinib Epidermoid carcinoma Affymetrix Human Genome U133 GSE10696 3 3 (A431) Plus 2.0 Head and neck cancer Illumina HumanHT-12 V4.0 GSE62061 12 12 (Cal-27, SSC-25, FaDu, expression beadchip SQ20B) Erlotinib Head and neck cancer Illumina HumanHT-12 V4.0 GSE49135 3 3 (HN5) expression beadchip Lung cancer (HCC827, Illumina HumanHT-12 V3.0 GSE38310 3 6 ER3, T15-2) expression beadchip Lung cancer Illumina HumanHT-12 V3.0 GSE62504 1 2 (HCC827) expression beadchip Afatinib Lung cancer * Illumina HumanHT-12 V4.0 GSE75468 1 3 (HCC827) expression beadchip Head and neck cancer Affymetrix Human Genome U133 Cetuximab GSE21483 3 3 (SCC1) Plus 2.0 Array GEO, gene expression omnibus; GSE, gene expression series; S, sensitive; AR, acquired EGFR-TKI resistant; * Lung Cancer Cells Derived from Tumor Xenograft Model. Table S2. The performances of four penalized regression models. Model ACC precision recall F1 MCC AUROC BRIER Ridge 0.889 0.852 0.958 0.902 0.782 0.964 0.129 Lasso 0.944 0.957 0.938 0.947 0.889 0.991 0.042 Elastic Net 0.978 0.979 0.979 0.979 0.955 0.999 0.023 EPSGO Elastic Net 0.989 1.000 0.979 0.989 0.978 1.000 0.018 AUROC, area under curve of receiver operating characteristic; ACC, accuracy; MCC, Matthews correlation coefficient; EPSGO, Efficient Parameter Selection via Global Optimization algorithm.