Molecular Mechanisms Controlling the Multistage Post-Translational
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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. -
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. -
Degradation and Beyond: Control of Androgen Receptor Activity by the Proteasome System
CELLULAR & MOLECULAR BIOLOGY LETTERS Volume 11, (2006) pp 109 – 131 http://www.cmbl.org.pl DOI: 10.2478/s11658-006-0011-9 Received: 06 December 2005 Revised form accepted: 31 January 2006 © 2006 by the University of Wrocław, Poland DEGRADATION AND BEYOND: CONTROL OF ANDROGEN RECEPTOR ACTIVITY BY THE PROTEASOME SYSTEM TOMASZ JAWORSKI Department of Cellular Biochemistry, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Pasteura 3, 02-093 Warsaw, Poland Abstract: The androgen receptor (AR) is a transcription factor belonging to the family of nuclear receptors which mediates the action of androgens in the development of urogenital structures. AR expression is regulated post- * Corresponding author: e-mail: [email protected] Abbreviations used: AATF – apoptosis antagonizing factor; APIS complex – AAA proteins independent of 20S; ARA54 – AR-associated protein 54; ARA70 – AR-associated protein 70; ARE – androgen responsive element; ARNIP – AR N-terminal interacting protein; bFGF – basic fibroblast growth factor; CARM1 – coactivator-associated arginine methyltransferase 1; CHIP – C-terminus Hsp70 interacting protein; DBD – DNA binding domain; E6-AP – E6-associated protein; GRIP-1 – glucocorticoid receptor interacting protein 1; GSK3β – glycogen synthase kinase 3β; HDAC1 – histone deacetylase 1; HECT – homologous to the E6-AP C-terminus; HEK293 – human embryonal kidney cell line; HepG2 – human hepatoma cell line; Hsp90 – heat shock protein 90; IGF-1 – insulin-like growth factor 1; IL-6 – interleukin 6; KLK2 – -
Deubiquitinase UCHL1 Maintains Protein Homeostasis Through PSMA7-APEH- Proteasome Axis in High-Grade Serous Ovarian Carcinoma
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.316810; this version posted October 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Deubiquitinase UCHL1 Maintains Protein Homeostasis through PSMA7-APEH- Proteasome Axis in High-Grade Serous Ovarian Carcinoma Apoorva Tangri1*, Kinzie Lighty1*, Jagadish Loganathan1, Fahmi Mesmar2, Ram Podicheti3, Chi Zhang1, Marcin Iwanicki4, Harikrishna Nakshatri1,5, Sumegha Mitra1,5,# 1 Indiana University School of Medicine, Indianapolis, IN, USA 2 Indiana University, Bloomington, IN, USA 3Center for Genomics and Bioinformatics, Indiana University, Bloomington, IN, USA 4Stevens Institute of Technology, Hoboken, NJ, USA 5Indiana University Melvin & Bren Simon Cancer Center, Indianapolis, USA *Equal contribution # corresponding author; to whom correspondence may be addressed. E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.316810; this version posted October 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract High-grade serous ovarian cancer (HGSOC) is characterized by chromosomal instability, DNA damage, oxidative stress, and high metabolic demand, which exacerbate misfolded, unfolded and damaged protein burden resulting in increased proteotoxicity. However, the underlying mechanisms that maintain protein homeostasis to promote HGSOC growth remain poorly understood. In this study, we report that the neuronal deubiquitinating enzyme, ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) is overexpressed in HGSOC and maintains protein homeostasis. UCHL1 expression was markedly increased in HGSOC patient tumors and serous tubal intraepithelial carcinoma (HGSOC precursor lesions). -
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. -
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 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. -
Salivary Biomarkers for Diagnosis of Inflammatory Bowel Diseases
International Journal of Molecular Sciences Review Salivary Biomarkers for Diagnosis of Inflammatory Bowel Diseases: A Systematic Review Kacper Nijakowski * and Anna Surdacka Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland; [email protected] * Correspondence: [email protected] Received: 24 September 2020; Accepted: 6 October 2020; Published: 10 October 2020 Abstract: Saliva as a biological fluid has a remarkable potential in the non-invasive diagnostics of several systemic disorders. Inflammatory bowel diseases are chronic inflammatory disorders of the gastrointestinal tract. This systematic review was designed to answer the question “Are salivary biomarkers reliable for the diagnosis of inflammatory bowel diseases?”. Following the inclusion and exclusion criteria, eleven studies were included (according to PRISMA statement guidelines). Due to their heterogeneity, the potential salivary markers for IBD were divided into four groups: oxidative status markers, inflammatory cytokines, microRNAs and other biomarkers. Active CD patients manifest decreased activity of antioxidants (e.g., glutathione, catalase) and increased lipid peroxidation. Therefore, malondialdehyde seems to be a good diagnostic marker of CD. Moreover, elevated concentrations of proinflammatory cytokines (such as interleukin 1β, interleukin 6 or tumour necrosis factor α) are associated with the activity of IBD. Additionaly, selected miRNAs are altered in saliva (overexpressed miR-101 in CD; overexpressed miR-21, miR-31, miR-142-3p and underexpressed miR-142-5p in UC). Among other salivary biomarkers, exosomal PSMA7, α-amylase and calprotectin are detected. In conclusion, saliva contains several biomarkers which can be used credibly for the early diagnosis and regular monitoring of IBD. However, further investigations are necessary to validate these findings, as well as to identify new reliable salivary biomarkers. -
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 -
Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes
International Journal of Environmental Research and Public Health Article Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes Yueh-Han Hsu 1,2, Peng-Hui Wang 1,2,3,4,5 and Chia-Ming Chang 1,2,* 1 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; [email protected] (Y.-H.H.); [email protected] (P.-H.W.) 2 School of Medicine, National Yang-Ming University, Taipei 112, Taiwan 3 Institute of Clinical Medicine, National Yang-Ming University, Taipei 112, Taiwan 4 Department of Medical Research, China Medical University Hospital, Taichung 440, Taiwan 5 Female Cancer Foundation, Taipei 104, Taiwan * Correspondence: [email protected]; Tel.: +886-2-2875-7826; Fax: +886-2-5570-2788 Received: 27 April 2020; Accepted: 31 May 2020; Published: 2 June 2020 Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor. -
Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.25.445659; this version posted May 26, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells Authors Myret Ghabriel 1, Ahmed El Hosseiny 1, 2, Ahmed Moustafa*1, 2 and Asma Amleh*1, 2 Affiliations 1Biotechnology Program, American University in Cairo, New Cairo 11835, Egypt 2Department of Biology, American University in Cairo, New Cairo 11835, Egypt *Corresponding authors: Ahmed Moustafa [email protected] Asma Amleh [email protected]. Abstract Mesenchymal stromal/stem cells (MSCs) are multipotent cells residing in multiple tissues with the capacity for self-renewal and differentiation into various cell types. These properties make them promising candidates for regenerative therapies. MSC identification is critical in yielding pure populations for successful therapeutic applications; however, the criteria for MSC identification proposed by the International Society for Cellular Therapy (ISCT) is inconsistent across different tissue sources. In this study, we aimed to identify potential markers to be used together with the ISCT’s criteria to provide a more accurate means of MSC identification. Thus, we carried out a comparative analysis of the expression of human and mouse MSCs derived from multiple tissues to identify the common differentially expressed genes. We show that six members of the proteasome degradation system are similarly expressed across MSCs derived from bone marrow, adipose tissue, amnion, and umbilical cord. -
Role of Genomic Variants in the Response to Biologics Targeting Common Autoimmune Disorders
Role of genomic variants in the response to biologics targeting common autoimmune disorders by Gordana Lenert, PhD The thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Master of Science Ottawa-Carleton Joint Program in Bioinformatics Carleton University Ottawa, Canada © 2016 Gordana Lenert Abstract Autoimmune diseases (AID) are common chronic inflammatory conditions initiated by the loss of the immunological tolerance to self-antigens. Chronic immune response and uncontrolled inflammation provoke diverse clinical manifestations, causing impairment of various tissues, organs or organ systems. To avoid disability and death, AID must be managed in clinical practice over long periods with complex and closely controlled medication regimens. The anti-tumor necrosis factor biologics (aTNFs) are targeted therapeutic drugs used for AID management. However, in spite of being very successful therapeutics, aTNFs are not able to induce remission in one third of AID phenotypes. In our research, we investigated genomic variability of AID phenotypes in order to explain unpredictable lack of response to aTNFs. Our hypothesis is that key genetic factors, responsible for the aTNFs unresponsiveness, are positioned at the crossroads between aTNF therapeutic processes that generate remission and pathogenic or disease processes that lead to AID phenotypes expression. In order to find these key genetic factors at the intersection of the curative and the disease pathways, we combined genomic variation data collected from publicly available curated AID genome wide association studies (AID GWAS) for each disease. Using collected data, we performed prioritization of genes and other genomic structures, defined the key disease pathways and networks, and related the results with the known data by the bioinformatics approaches.