Efficient Tagging and Purification of Endogenous Proteins for Structural Studies by Single Particle Cryo-EM
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Inhibition of the Nrf2 Transcription Factor by the Alkaloid
Oncogene (2013) 32, 4825–4835 & 2013 Macmillan Publishers Limited All rights reserved 0950-9232/13 www.nature.com/onc ORIGINAL ARTICLE Inhibition of the Nrf2 transcription factor by the alkaloid trigonelline renders pancreatic cancer cells more susceptible to apoptosis through decreased proteasomal gene expression and proteasome activity A Arlt1,4, S Sebens2,4, S Krebs1, C Geismann1, M Grossmann1, M-L Kruse1, S Schreiber1,3 and H Scha¨fer1 Evidence accumulates that the transcription factor nuclear factor E2-related factor 2 (Nrf2) has an essential role in cancer development and chemoresistance, thus pointing to its potential as an anticancer target and undermining its suitability in chemoprevention. Through the induction of cytoprotective and proteasomal genes, Nrf2 confers apoptosis protection in tumor cells, and inhibiting Nrf2 would therefore be an efficient strategy in anticancer therapy. In the present study, pancreatic carcinoma cell lines (Panc1, Colo357 and MiaPaca2) and H6c7 pancreatic duct cells were analyzed for the Nrf2-inhibitory effect of the coffee alkaloid trigonelline (trig), as well as for its impact on Nrf2-dependent proteasome activity and resistance to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and anticancer drug-induced apoptosis. Chemoresistant Panc1 and Colo357 cells exhibit high constitutive Nrf2 activity, whereas chemosensitive MiaPaca2 and H6c7 cells display little basal but strong tert-butylhydroquinone (tBHQ)-inducible Nrf2 activity and drug resistance. Trig efficiently decreased basal and tBHQ-induced Nrf2 activity in all cell lines, an effect relying on a reduced nuclear accumulation of the Nrf2 protein. Along with Nrf2 inhibition, trig blocked the Nrf2-dependent expression of proteasomal genes (for example, s5a/psmd4 and a5/psma5) and reduced proteasome activity in all cell lines tested. -
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. -
Identification of Transcriptomic Differences Between Lower
International Journal of Molecular Sciences Article Identification of Transcriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens Daniel P. Zalewski 1,*,† , Karol P. Ruszel 2,†, Andrzej St˛epniewski 3, Dariusz Gałkowski 4, Jacek Bogucki 5 , Przemysław Kołodziej 6 , Jolanta Szyma ´nska 7 , Bartosz J. Płachno 8 , Tomasz Zubilewicz 9 , Marcin Feldo 9,‡ , Janusz Kocki 2,‡ and Anna Bogucka-Kocka 1,‡ 1 Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] 2 Chair of Medical Genetics, Department of Clinical Genetics, Medical University of Lublin, 11 Radziwiłłowska St., 20-080 Lublin, Poland; [email protected] (K.P.R.); [email protected] (J.K.) 3 Ecotech Complex Analytical and Programme Centre for Advanced Environmentally Friendly Technologies, University of Marie Curie-Skłodowska, 39 Gł˛ebokaSt., 20-612 Lublin, Poland; [email protected] 4 Department of Pathology and Laboratory Medicine, Rutgers-Robert Wood Johnson Medical School, One Robert Wood Johnson Place, New Brunswick, NJ 08903-0019, USA; [email protected] 5 Chair and Department of Organic Chemistry, Medical University of Lublin, 4a Chod´zkiSt., Citation: Zalewski, D.P.; Ruszel, K.P.; 20-093 Lublin, Poland; [email protected] St˛epniewski,A.; Gałkowski, D.; 6 Laboratory of Diagnostic Parasitology, Chair and Department of Biology and Genetics, Medical University of Bogucki, J.; Kołodziej, P.; Szyma´nska, Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] J.; Płachno, B.J.; Zubilewicz, T.; Feldo, 7 Department of Integrated Paediatric Dentistry, Chair of Integrated Dentistry, Medical University of Lublin, M.; et al. -
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. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
PSMB6 Polyclonal Antibody Catalog Number:11684-2-AP 1 Publications
For Research Use Only PSMB6 Polyclonal antibody Catalog Number:11684-2-AP 1 Publications www.ptglab.com Catalog Number: GenBank Accession Number: Purification Method: Basic Information 11684-2-AP BC000835 Antigen affinity purification Size: GeneID (NCBI): Recommended Dilutions: 150UL , Concentration: 450 μg/ml by 5694 WB 1:500-1:2000 Nanodrop and 227 μg/ml by Bradford Full Name: IHC 1:50-1:500 method using BSA as the standard; proteasome (prosome, macropain) IF 1:50-1:500 Source: subunit, beta type, 6 Rabbit Calculated MW: Isotype: 239 aa, 25 kDa IgG Observed MW: Immunogen Catalog Number: 25 kDa AG2296 Applications Tested Applications: Positive Controls: IF, IHC, WB,ELISA WB : HeLa cells, Caco-2 cells, fetal human brain tissue, Cited Applications: human liver tissue, mouse brain tissue, rat brain tissue WB IHC : human colon cancer tissue, human gliomas tissue Species Specificity: IF : HeLa cells, human, mouse, rat Cited Species: rat Note-IHC: suggested antigen retrieval with TE buffer pH 9.0; (*) Alternatively, antigen retrieval may be performed with citrate buffer pH 6.0 PSMB6(Proteasome subunit beta type-6) is also named as LMPY, Y and belongs to the peptidase T1B family.The Background Information proteasome is a multicatalytic proteinase complex which is characterized by its ability to cleave peptides with Arg, Phe, Tyr, Leu, and Glu adjacent to the leaving group at neutral or slightly basic pH.It may also catalyzes basal processing of intracellular antigens.It can be up-regulated in anaplastic thyroid cancer cell lines and down- regulated by IFNG/IFN-gamma (at protein level)(PMID:8066462;15613457). -
Selection and Evaluation of Potential Reference Genes for Quantitative Real-Time PCR in Agaricus Blazei Based on Transcriptome Sequencing Data
Hindawi BioMed Research International Volume 2021, Article ID 6661842, 13 pages https://doi.org/10.1155/2021/6661842 Research Article Selection and Evaluation of Potential Reference Genes for Quantitative Real-Time PCR in Agaricus blazei Based on Transcriptome Sequencing Data Yuan-Ping Lu, Jian-Hua Liao , Zhong-Jie Guo, Hui-Qing Zheng, Ling-Fang Lu, Zhi-Xin Cai, Zhi-Heng Zeng, Zheng-He Ying, and Mei-Yuan Chen Institute of Edible Fungi, Fujian Academy of Agricultural Sciences, Fuzhou, 350014 Fujian Province, China Correspondence should be addressed to Jian-Hua Liao; [email protected] and Mei-Yuan Chen; [email protected] Received 9 November 2020; Accepted 3 February 2021; Published 9 April 2021 Academic Editor: Giuliana Banche Copyright © 2021 Yuan-Ping Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Quantitative real-time PCR (qRT-PCR) is widely used to detect gene expression due to its high sensitivity, high throughput, and convenience. The accurate choice of reference genes is required for normalization of gene expression in qRT-PCR analysis. In order to identify the optimal candidates for gene expression analysis using qRT-PCR in Agaricus blazei, we studied the potential reference genes in this economically important edible fungus. In this study, transcriptome datasets were used as source for identification of candidate reference genes. And 27 potential reference genes including 21 newly stable genes, three classical housekeeping genes, and homologous genes of three ideal reference genes in Volvariella volvacea, were screened based on transcriptome datasets of A. -
Proteasome Biology: Chemistry and Bioengineering Insights
polymers Review Proteasome Biology: Chemistry and Bioengineering Insights Lucia Raˇcková * and Erika Csekes Centre of Experimental Medicine, Institute of Experimental Pharmacology and Toxicology, Slovak Academy of Sciences, Dúbravská cesta 9, 841 04 Bratislava, Slovakia; [email protected] * Correspondence: [email protected] or [email protected] Received: 28 September 2020; Accepted: 23 November 2020; Published: 4 December 2020 Abstract: Proteasomal degradation provides the crucial machinery for maintaining cellular proteostasis. The biological origins of modulation or impairment of the function of proteasomal complexes may include changes in gene expression of their subunits, ubiquitin mutation, or indirect mechanisms arising from the overall impairment of proteostasis. However, changes in the physico-chemical characteristics of the cellular environment might also meaningfully contribute to altered performance. This review summarizes the effects of physicochemical factors in the cell, such as pH, temperature fluctuations, and reactions with the products of oxidative metabolism, on the function of the proteasome. Furthermore, evidence of the direct interaction of proteasomal complexes with protein aggregates is compared against the knowledge obtained from immobilization biotechnologies. In this regard, factors such as the structures of the natural polymeric scaffolds in the cells, their content of reactive groups or the sequestration of metal ions, and processes at the interface, are discussed here with regard to their -
Exosome-Transmitted PSMA3 and PSMA3-AS1 Promote Proteasome Inhibitor Resistance in Multiple Myeloma
Published OnlineFirst January 4, 2019; DOI: 10.1158/1078-0432.CCR-18-2363 Translational Cancer Mechanisms and Therapy Clinical Cancer Research Exosome-Transmitted PSMA3 and PSMA3-AS1 Promote Proteasome Inhibitor Resistance in Multiple Myeloma Hongxia Xu1,2, Huiying Han1, Sha Song1, Nengjun Yi3, Chen'ao Qian4, Yingchun Qiu1, Wenqi Zhou1, Yating Hong5, Wenyue Zhuang6, Zhengyi Li7, Bingzong Li5, and Wenzhuo Zhuang1 Abstract Purpose: How exosomal RNAs released within the bone Results: We identified that PSMA3 and PSMA3-AS1 in MSCs marrow microenvironment affect proteasome inhibitors' (PI) could be packaged into exosomes and transferred to myeloma sensitivity of multiple myeloma is currently unknown. This cells, thus promoting PI resistance. PSMA3-AS1 could form an study aims to evaluate which exosomal RNAs are involved and RNA duplex with pre-PSMA3, which transcriptionally promot- by which molecular mechanisms they exert this function. ed PSMA3 expression by increasing its stability. In xenograft Experimental Design: Exosomes were characterized by models, intravenously administered siPSMA3-AS1 was found dynamic light scattering, transmission electron microscopy, and to be effective in increasing carfilzomib sensitivity. Moreover, Western blot analysis. Coculture experiments were performed to plasma circulating exosomal PSMA3 and PSMA3-AS1 derived assess exosomal RNAs transferring from mesenchymal stem from patients with multiple myeloma were significantly asso- cells (MSC) to multiple myeloma cells. The role of PSMA3-AS1 ciated with PFS and OS. in PI sensitivity was further evaluated in vivo. To determine the Conclusions: This study suggested a unique role of exoso- prognostic significance of circulating exosomal PSMA3 and mal PSMA3 and PSMA3-AS1 in transmitting PI resistance from PSMA3-AS1, a cohort of patients with newly diagnosed multiple MSCs to multiple myeloma cells, through a novel exosomal myeloma was enrolled to study. -
TNFR2 Signaling Regulates the Immunomodulatory Function of Oligodendrocyte Precursor Cells
cells Article TNFR2 Signaling Regulates the Immunomodulatory Function of Oligodendrocyte Precursor Cells Haritha L. Desu 1, Placido Illiano 1, James S. Choi 1, Maureen C. Ascona 1, Han Gao 1,2, Jae K. Lee 1 and Roberta Brambilla 1,3,4,* 1 The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA; [email protected] (H.L.D.); [email protected] (P.I.); [email protected] (J.S.C.); [email protected] (M.C.A.); [email protected] (H.G.); [email protected] (J.K.L.) 2 Department of Spine Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China 3 Department of Neurobiology Research, Institute of Molecular Medicine, and BRIDGE—Brain Research Inter Disciplinary Guided Excellence, 5000 Odense, Denmark 4 Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark * Correspondence: [email protected]; Tel.: +305-243-3567 Abstract: Multiple sclerosis (MS) is a neuroimmune disorder characterized by inflammation, CNS demyelination, and progressive neurodegeneration. Chronic MS patients exhibit impaired remyeli- nation capacity, partly due to the changes that oligodendrocyte precursor cells (OPCs) undergo in response to the MS lesion environment. The cytokine tumor necrosis factor (TNF) is present in the MS-affected CNS and has been implicated in disease pathophysiology. Of the two active forms of TNF, transmembrane (tmTNF) and soluble (solTNF), tmTNF signals via TNFR2 mediating protective and reparative effects, including remyelination, whereas solTNF signals predominantly via TNFR1 Citation: Desu, H.L.; Illiano, P.; Choi, promoting neurotoxicity. -
Anti-Proteasome 20S LMP2 Antibody (ARG41082)
Product datasheet [email protected] ARG41082 Package: 100 μl anti-Proteasome 20S LMP2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes Proteasome 20S LMP2 Tested Reactivity Hu Predict Reactivity Ms, Rat Tested Application FACS, ICC/IF, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name Proteasome 20S LMP2 Antigen Species Human Immunogen Synthetic peptide derived from Human Proteasome 20S LMP2. Conjugation Un-conjugated Alternate Names beta1i; Proteasome subunit beta type-9; Really interesting new gene 12 protein; Proteasome chain 7; Multicatalytic endopeptidase complex chain 7; Proteasome subunit beta-1i; Macropain chain 7; RING12; EC 3.4.25.1; LMP2; PSMB6i; Low molecular mass protein 2 Application Instructions Application table Application Dilution FACS 1:50 ICC/IF 1:50 - 1:200 WB 1:1000 - 1:5000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 23 kDa Observed Size 23 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.4), 150 mM NaCl, 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol www.arigobio.com 1/2 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. 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. Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol PSMB9 Gene Full Name proteasome subunit beta 9 Background The proteasome is a multicatalytic proteinase complex with a highly ordered ring-shaped 20S core structure. -
13207 PSMB7 (E1L5H) Rabbit Mab
Revision 1 C 0 2 - t PSMB7 (E1L5H) Rabbit mAb a e r o t S Orders: 877-616-CELL (2355) [email protected] 7 Support: 877-678-TECH (8324) 0 2 Web: [email protected] 3 www.cellsignal.com 1 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source/Isotype: UniProt ID: Entrez-Gene Id: WB H M Mk Endogenous 28, 30 Rabbit IgG Q99436 5695 g p y ( ) Product Usage Information antigen presentation, the constitutively expressed PSMB6, PSMB7, and PSMB5 subunits are replaced by three highly homologous, induced β-subunits to form the Application Dilution immunoproteasome (4,5). PSMB7 is downregulated at the protein level by IFN-γ and replaced by PSMB10 to remodel the proteolytic specificity of the proteasome for more Western Blotting 1:1000 appropriate immunological processing of endogenous antigens (6). Research studies show that PSMB7 expression is upregulated in human colon adenocarcinomas and suggest that Storage high PSMB7 expression may serve as a potential prognostic marker in breast cancer (7,8). Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% 1. Finley, D. (2009) Annu Rev Biochem 78, 477-513. glycerol and less than 0.02% sodium azide. Store at –20°C. Do not aliquot the antibody. 2. Lee, M.J. et al. (2011) Mol Cell Proteomics 10, R110.003871. 3. Stringer, J.R. et al. (1977) J Virol 21, 889-901. Specificity / Sensitivity 4. Boes, B. et al. (1994) J Exp Med 179, 901-9.