A 20S Proteasome Receptor for Degradation of Intrinsically Disordered Proteins
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Anti-PSMA5 / Proteasome 19S S5A Antibody [AH1.1] (ARG10889)
Product datasheet [email protected] ARG10889 Package: 100 μg anti-PSMA5 / Proteasome 19S S5A antibody [AH1.1] Store at: -20°C Summary Product Description Mouse Monoclonal antibody [AH1.1] recognizes PSMA5 / Proteasome 19S S5A Tested Reactivity Hu, frg Tested Application IHC, IP, WB Host Mouse Clonality Monoclonal Clone AH1.1 Isotype IgG1 Target Name PSMA5 / Proteasome 19S S5A Antigen Species Human Immunogen Proteasome 19S S5A Conjugation Un-conjugated Alternate Names Proteasome subunit alpha type-5; Macropain zeta chain; PSC5; Multicatalytic endopeptidase complex zeta chain; EC 3.4.25.1; ZETA; Proteasome zeta chain Application Instructions Application table Application Dilution IHC 2.5 µg/ml IP 2.5 µg/ml WB 2.5 µg/ml Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 26 kDa Properties Form Liquid Purification Purified by affinity chromatography. Buffer PBS and 0.02% Sodium azide. Preservative 0.02% Sodium azide Concentration 1 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/2 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol PSMA5 Gene Full Name proteasome subunit alpha 5 Background The proteasome is a multicatalytic proteinase complex with a highly ordered ring-shaped 20S core structure. -
PSMA4 Antibody (Monoclonal) (M01) Mouse Monoclonal Antibody Raised Against a Full Length Recombinant PSMA4
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 PSMA4 Antibody (monoclonal) (M01) Mouse monoclonal antibody raised against a full length recombinant PSMA4. Catalog # AT3454a Specification PSMA4 Antibody (monoclonal) (M01) - Product Information Application IF, WB, E Primary Accession P25789 Other Accession BC005361 Reactivity Human Host mouse Clonality Monoclonal Isotype IgG2b kappa Calculated MW 29484 PSMA4 Antibody (monoclonal) (M01) - Additional Information Immunofluorescence of monoclonal antibody to PSMA4 on HeLa cell. [antibody concentration 10 ug/ml] Gene ID 5685 Other Names Proteasome subunit alpha type-4, Macropain subunit C9, Multicatalytic endopeptidase complex subunit C9, Proteasome component C9, Proteasome subunit L, PSMA4, HC9, PSC9 Target/Specificity PSMA4 (AAH05361, 1 a.a. ~ 261 a.a) full-length recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Dilution WB~~1:500~1000 Antibody Reactive Against Recombinant Protein.Western Blot detection against Format Immunogen (54.45 KDa) . Clear, colorless solution in phosphate buffered saline, pH 7.2 . Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. Precautions PSMA4 Antibody (monoclonal) (M01) is for research use only and not for use in diagnostic or therapeutic procedures. Page 1/3 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 PSMA4 Antibody (monoclonal) (M01) - Protocols Provided below are standard protocols that you may find useful for product applications. • Western Blot • Blocking Peptides • Dot Blot • Immunohistochemistry • Immunofluorescence • Immunoprecipitation • Flow Cytomety • Cell Culture PSMA4 monoclonal antibody (M01), clone 2A10-E4 Western Blot analysis of PSMA4 expression in Hela ( (Cat # AT3454a ) Detection limit for recombinant GST tagged PSMA4 is approximately 3ng/ml as a capture antibody. -
Genetic Variations in the PSMA6 and PSMC6 Proteasome Genes Are Associated with Multiple Sclerosis and Response to Interferon‑Β Therapy in Latvians
EXPERIMENTAL AND THERAPEUTIC MEDICINE 21: 478, 2021 Genetic variations in the PSMA6 and PSMC6 proteasome genes are associated with multiple sclerosis and response to interferon‑β therapy in Latvians NATALIA PARAMONOVA1, JOLANTA KALNINA1, KRISTINE DOKANE1, KRISTINE DISLERE1, ILVA TRAPINA1, TATJANA SJAKSTE1 and NIKOLAJS SJAKSTE1,2 1Genomics and Bioinformatics, Institute of Biology of The University of Latvia; 2Department of Medical Biochemistry of The University of Latvia, LV‑1004 Riga, Latvia Received July 8, 2020; Accepted December 8, 2020 DOI: 10.3892/etm.2021.9909 Abstract. Several polymorphisms in genes related to the Introduction ubiquitin‑proteasome system exhibit an association with pathogenesis and prognosis of various human autoimmune Multiple sclerosis (MS) is a lifelong demyelinating disease of diseases. Our previous study reported the association the central nervous system. The clinical onset of MS tends to between multiple sclerosis (MS) and the PSMA3‑rs2348071 be between the second and fourth decade of life. Similarly to polymorphism in the Latvian population. The current study other autoimmune diseases, women are affected 3‑4 times more aimed to evaluate the PSMA6 and PSMC6 genetic variations, frequently than men (1). About 10% of MS patients experience their interaction between each other and with the rs2348071, a primary progressive MS form characterized by the progres‑ on the susceptibility to MS risk and response to therapy in sion of neurological disability from the onset. In about 90% the Latvian population. PSMA6‑rs2277460, ‑rs1048990 and of MS patients, the disease undergoes the relapse‑remitting PSMC6‑rs2295826, ‑rs2295827 were genotyped in the MS MS course (RRMS); in most of these patients, the condition case/control study and analysed in terms of genotype‑protein acquires secondary progressive course (SPMS) (2). -
View of HER2: Human Epidermal Growth Factor Receptor 2; TNBC: Triple-Negative Breast Resistance to Systemic Therapy in Patients with Breast Cancer
Wen et al. Cancer Cell Int (2018) 18:128 https://doi.org/10.1186/s12935-018-0625-9 Cancer Cell International PRIMARY RESEARCH Open Access Sulbactam‑enhanced cytotoxicity of doxorubicin in breast cancer cells Shao‑hsuan Wen1†, Shey‑chiang Su2†, Bo‑huang Liou3, Cheng‑hao Lin1 and Kuan‑rong Lee1* Abstract Background: Multidrug resistance (MDR) is a major obstacle in breast cancer treatment. The predominant mecha‑ nism underlying MDR is an increase in the activity of adenosine triphosphate (ATP)-dependent drug efux trans‑ porters. Sulbactam, a β-lactamase inhibitor, is generally combined with β-lactam antibiotics for treating bacterial infections. However, sulbactam alone can be used to treat Acinetobacter baumannii infections because it inhibits the expression of ATP-binding cassette (ABC) transporter proteins. This is the frst study to report the efects of sulbactam on mammalian cells. Methods: We used the breast cancer cell lines as a model system to determine whether sulbactam afects cancer cells. The cell viabilities in the present of doxorubicin with or without sulbactam were measured by MTT assay. Protein identities and the changes in protein expression levels in the cells after sulbactam and doxorubicin treatment were determined using LC–MS/MS. Real-time reverse transcription polymerase chain reaction (real-time RT-PCR) was used to analyze the change in mRNA expression levels of ABC transporters after treatment of doxorubicin with or without sulbactam. The efux of doxorubicin was measures by the doxorubicin efux assay. Results: MTT assay revealed that sulbactam enhanced the cytotoxicity of doxorubicin in breast cancer cells. The results of proteomics showed that ABC transporter proteins and proteins associated with the process of transcription and initiation of translation were reduced. -
20S Proteasome Α3 (Phospho Ser250) Polyclonal Antibody Catalog # AP67328
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody Catalog # AP67328 Specification 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Product Information Application WB Primary Accession P25788 Reactivity Human, Mouse, Rat Host Rabbit Clonality Polyclonal 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Additional Information Gene ID 5684 Other Names PSMA3; HC8; PSC8; Proteasome subunit alpha type-3; Macropain subunit C8; Multicatalytic endopeptidase complex subunit C8; Proteasome component C8 Dilution WB~~Western Blot: 1/500 - 1/2000. Immunohistochemistry: 1/100 - 1/300. ELISA: 1/10000. Not yet tested in other applications. Format Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Storage Conditions -20℃ 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Protein Information Name PSMA3 Synonyms HC8, PSC8 Function Component of the 20S core proteasome complex involved in the proteolytic degradation of most intracellular proteins. This complex plays numerous essential roles within the cell by associating with Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 different regulatory particles. Associated with two 19S regulatory particles, forms the 26S proteasome and thus participates in the ATP- dependent degradation of ubiquitinated proteins. The 26S proteasome plays a key role in the maintenance of protein homeostasis by removing misfolded or damaged proteins that could impair cellular functions, and by removing proteins whose functions are no longer required. Associated with the PA200 or PA28, the 20S proteasome mediates ubiquitin- independent protein degradation. This type of proteolysis is required in several 20S Proteasome α3 (phospho Ser250) pathways including spermatogenesis Polyclonal Antibody - Background (20S-PA200 complex) or generation of a subset of MHC class I-presented antigenic Component of the 20S core proteasome peptides (20S-PA28 complex). -
Role of Phytochemicals in Colon Cancer Prevention: a Nutrigenomics Approach
Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan J van Erk Promotor: Prof. Dr. P.J. van Bladeren Hoogleraar in de Toxicokinetiek en Biotransformatie Wageningen Universiteit Co-promotoren: Dr. Ir. J.M.M.J.G. Aarts Universitair Docent, Sectie Toxicologie Wageningen Universiteit Dr. Ir. B. van Ommen Senior Research Fellow Nutritional Systems Biology TNO Voeding, Zeist Promotiecommissie: Prof. Dr. P. Dolara University of Florence, Italy Prof. Dr. J.A.M. Leunissen Wageningen Universiteit Prof. Dr. J.C. Mathers University of Newcastle, United Kingdom Prof. Dr. M. Müller Wageningen Universiteit Dit onderzoek is uitgevoerd binnen de onderzoekschool VLAG Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan Jolanda van Erk Proefschrift ter verkrijging van graad van doctor op gezag van de rector magnificus van Wageningen Universiteit, Prof.Dr.Ir. L. Speelman, in het openbaar te verdedigen op vrijdag 1 oktober 2004 des namiddags te vier uur in de Aula Title Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Author Marjan Jolanda van Erk Thesis Wageningen University, Wageningen, the Netherlands (2004) with abstract, with references, with summary in Dutch ISBN 90-8504-085-X ABSTRACT Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Specific food compounds, especially from fruits and vegetables, may protect against development of colon cancer. In this thesis effects and mechanisms of various phytochemicals in relation to colon cancer prevention were studied through application of large-scale gene expression profiling. Expression measurement of thousands of genes can yield a more complete and in-depth insight into the mode of action of the compounds. -
Anti-Inflammatory Role of Curcumin in LPS Treated A549 Cells at Global Proteome Level and on Mycobacterial Infection
Anti-inflammatory Role of Curcumin in LPS Treated A549 cells at Global Proteome level and on Mycobacterial infection. Suchita Singh1,+, Rakesh Arya2,3,+, Rhishikesh R Bargaje1, Mrinal Kumar Das2,4, Subia Akram2, Hossain Md. Faruquee2,5, Rajendra Kumar Behera3, Ranjan Kumar Nanda2,*, Anurag Agrawal1 1Center of Excellence for Translational Research in Asthma and Lung Disease, CSIR- Institute of Genomics and Integrative Biology, New Delhi, 110025, India. 2Translational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India. 3School of Life Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, Orissa, 768019, India. 4Department of Respiratory Sciences, #211, Maurice Shock Building, University of Leicester, LE1 9HN 5Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia- 7003, Bangladesh. +Contributed equally for this work. S-1 70 G1 S 60 G2/M 50 40 30 % of cells 20 10 0 CURI LPSI LPSCUR Figure S1: Effect of curcumin and/or LPS treatment on A549 cell viability A549 cells were treated with curcumin (10 µM) and/or LPS or 1 µg/ml for the indicated times and after fixation were stained with propidium iodide and Annexin V-FITC. The DNA contents were determined by flow cytometry to calculate percentage of cells present in each phase of the cell cycle (G1, S and G2/M) using Flowing analysis software. S-2 Figure S2: Total proteins identified in all the three experiments and their distribution betwee curcumin and/or LPS treated conditions. The proteins showing differential expressions (log2 fold change≥2) in these experiments were presented in the venn diagram and certain number of proteins are common in all three experiments. -
Distinct Molecular Phenotype of Malignant Cd34þ Hematopoietic
Oncogene (2005) 24, 5313–5324 & 2005 Nature Publishing Group All rights reserved 0950-9232/05 $30.00 www.nature.com/onc Distinct molecular phenotype of malignant CD34 þ hematopoietic stem and progenitor cells in chronic myelogenous leukemia Ralf Kronenwett*,1, Ulf Butterweck1, Ulrich Steidl1,2, Slawomir Kliszewski1, Frank Neumann1, Simone Bork1, Elena Diaz Blanco1, Nicole Roes1, Thorsten Gra¨ f1, Benedikt Brors3, Roland Eils3, Christian Maercker4, Guido Kobbe1, Norbert Gattermann1 and Rainer Haas1 1Department of Hematology, Oncology and Clinical Immunology, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225 Duesseldorf, Germany; 2Harvard Institutes of Medicine, Hematology/Oncology Division, Boston, MA, USA; 3Theoretical Bioinformatics, German Cancer Research Center, 69120 Heidelberg, Germany; 4German Resource Center for Genome Research, 69120 Heidelberg, Germany Chronic myelogenous leukemia (CML) is a malignant Keywords: CML; CD34 þ cells; gene expression; G disorder of the hematopoietic stem cell characterized by protein-coupled receptors the BCR–ABL oncogene. We examined gene expression profiles of highly enriched CD34 þ hematopoietic stem and progenitor cells from patients with CML in chronic phase using cDNA arrays covering 1.185 genes. Compar- ing CML CD34 cells with normal CD34 cells, we þ þ Introduction found 158 genes which were significantly differentially expressed. Gene expression patterns reflected BCR–ABL- Hematopoietic stem cells are characterized by the induced functional alterations such as increased cell-cycle capability of self-renewal and differentiation into the and proteasome activity. Detoxification enzymes and entire spectrum of blood cells. Knowledge gained from DNA repair proteins were downregulated in CML stem cell biology can also give novel insights into cancer CD34 cells, which might contribute to genetic instabil- þ research. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Identification of Potential Biomarkers and Analysis of Prognostic Values in Head and Neck Squamous Cell Carcinoma by Bioinformatics Analysis
Journal name: OncoTargets and Therapy Article Designation: Original Research Year: 2017 Volume: 10 OncoTargets and Therapy Dovepress Running head verso: Yang et al Running head recto: Identification of potential biomarkers and analysis of prognostic values open access to scientific and medical research DOI: http://dx.doi.org/10.2147/OTT.S135514 Open Access Full Text Article ORIGINAL RESEARCH Identification of potential biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma by bioinformatics analysis Bo Yang* Abstract: The purpose of this study was to find disease-associated genes and potential Zhifeng Chen* mechanisms in head and neck squamous cell carcinoma (HNSCC) with deoxyribonucleic Yu Huang acid microarrays. The gene expression profiles of GSE6791 were downloaded from the Gene Guoxu Han Expression Omnibus database. Differentially expressed genes (DEGs) were obtained with Weizhong Li packages in R language and STRING constructed protein–protein interaction (PPI) network of the DEGs with combined score 0.8. Subsequently, module analysis of the PPI network was Department of Oral and Maxillofacial performed by Molecular Complex Detection plugin and functions and pathways of the hub Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, gene in subnetwork were studied. Finally, overall survival analysis of hub genes was verified People’s Republic of China in TCGA HNSCC cohort. A total of 811 DEGs were obtained, which were mainly enriched in *These authors contributed equally the terms related to extracellular matrix (ECM)–receptor interaction, ECM structural constitu- to this work ent, and ECM organization. A PPI network was constructed, consisting of 401 nodes and 1,254 edges and 15 hub genes with high degrees in the network. -
Identification of Differential Modules in Ankylosing Spondylitis Using Systemic Module Inference and the Attract Method
EXPERIMENTAL AND THERAPEUTIC MEDICINE 16: 149-154, 2018 Identification of differential modules in ankylosing spondylitis using systemic module inference and the attract method FANG-CHANG YUAN1, BO LI2 and LI-JUN ZHANG3 1Department of Orthopedics, People's Hospital of Rizhao, Rizhao, Shandong 276826; 2Department of Joint Surgery, Hospital of Xinjiang Production and Construction Corps, Urumchi, Xinjiang Uygur Autonomous Region 830002; 3Department of Orthopedics, The Fifth People's Hospital of Jinan, Jinan, Shandong 250022, P.R. China Received July 15, 2016; Accepted April 28, 2017 DOI: 10.3892/etm.2018.6134 Abstract. The objective of the present study was to identify spondyloarthropathies, which also includes reactive arthritis, differential modules in ankylosing spondylitis (AS) by inte- psoriatic arthritis and enteropathic arthritis (1). Several grating network analysis, module inference and the attract features, such as synovitis, chondroid metaplasia, cartilage method. To achieve this objective, four steps were conducted. destruction and subchondral bone marrow changes, are The first step was disease objective network (DON) for AS, commonly observed in the joints of patients with AS (2). Due and healthy objective network (HON) inference dependent on to the complex progression of the joint remodeling process, gene expression data, protein-protein interaction networks and clinical research has not systematically evaluated histopatho- Spearman's correlation coefficient. In the second step, module logical changes (3), and no clear sequence of the pathological detection was performed by utilizing a clique-merging algo- mechanism has been obtained for this disease. rithm, which comprised of exploring maximal cliques by clique With the development of high throughput technology and algorithm and refining or merging maximal cliques with a high gene data analysis over the past decade, rapid progress has been overlap. -
Table 1. Swine Proteins Identified As Differentially Expressed at 24Dpi in OURT 88/3 Infected Animals
Table 1. swine proteins identified as differentially expressed at 24dpi in OURT 88/3 infected animals. Gene name Protein ID Protein Name -Log p-value control vs A_24DPI Difference control Vs A_24DPI F8 K7GL28 Coagulation factor VIII 2.123919902 5.42533493 PPBP F1RUL6 C-X-C motif chemokine 3.219079808 4.493174871 SDPR I3LDR9 Caveolae associated protein 2 2.191007299 4.085711161 IGHG L8B0X5 IgG heavy chain 2.084611488 -4.282530149 LOC100517145 F1S3H9 Complement C3 (LOC100517145) 3.885740476 -4.364484406 GOLM1 F1S4I1 Golgi membrane protein 1 1.746130664 -4.767168681 FCN2 I3L5W3 Ficolin-2 2.937884686 -6.029483795 Table 2. swine proteins identified as differentially expressed at 7dpi in Benin ΔMGF infected animals. Gene name Protein ID Protein Name -Log p-value control vs B_7DPI Difference control Vs B_7DPI A0A075B7I5 Ig-like domain-containing protein 1.765578164 -3.480728149 ATP5A1 F1RPS8_PIG ATP synthase subunit alpha 2.270386995 3.270935059 LOC100627396 F1RX35_PIG Fibrinogen C-terminal domain-containing protein 2.211242648 3.967363358 LOC100514666;LOC102158263 F1RX36_PIG Fibrinogen alpha chain 2.337934993 3.758180618 FGB F1RX37_PIG Fibrinogen beta chain 2.411948004 4.03753376 PSMA8 F1SBA5_PIG Proteasome subunit alpha type 1.473601007 -3.815182686 ACAN F1SKR0_PIG Aggrecan core protein 1.974489764 -3.726634026 TFG F1SL01_PIG PB1 domain-containing protein 1.809215274 -3.131304741 LOC100154408 F1SSL6_PIG Proteasome subunit alpha type 1.701949053 -3.944885254 PSMA4 F2Z528_PIG Proteasome subunit alpha type 2.045768185 -4.502977371 PSMA5 F2Z5K2_PIG