Structural Insights Into the Architecture and Membrane Interactions of the Conserved COMMD Proteins
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Bif (SH3GLB1) Human Shrna Plasmid Kit (Locus ID 51100) Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TR301721 Bif (SH3GLB1) Human shRNA Plasmid Kit (Locus ID 51100) Product data: Product Type: shRNA Plasmids Product Name: Bif (SH3GLB1) Human shRNA Plasmid Kit (Locus ID 51100) Locus ID: 51100 Synonyms: Bif-1; CGI-61; dJ612B15.2; PPP1R70 Vector: pRS (TR20003) Format: Retroviral plasmids Components: SH3GLB1 - Human, 4 unique 29mer shRNA constructs in retroviral untagged vector(Gene ID = 51100). 5µg purified plasmid DNA per construct Non-effective 29-mer scrambled shRNA cassette in pRS Vector, TR30012, included for free. RefSeq: NM_001206651, NM_001206652, NM_001206653, NM_016009, NM_016009.1, NM_016009.2, NM_016009.3, NM_016009.4, NM_001206653.1, NM_001206652.1, NM_001206651.1, BC007455, BC007455.2, NM_001206652.2, NM_016009.5 Summary: This gene encodes a SRC homology 3 domain-containing protein. The encoded protein interacts with the proapoptotic member of the Bcl-2 family, Bcl-2-associated X protein (Bax) and may be involved in regulating apoptotic signaling pathways. This protein may also be involved in maintaining mitochondrial morphology. Alternate splicing results in multiple transcript variants. [provided by RefSeq, Sep 2011] shRNA Design: These shRNA constructs were designed against multiple splice variants at this gene locus. To be certain that your variant of interest is targeted, please contact [email protected]. If you need a special design or shRNA sequence, please utilize our custom shRNA service. This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Bif (SH3GLB1) Human shRNA Plasmid Kit (Locus ID 51100) – TR301721 Performance OriGene guarantees that the sequences in the shRNA expression cassettes are verified to Guaranteed: correspond to the target gene with 100% identity. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
Mitoxplorer, a Visual Data Mining Platform To
mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, Cecilia Garcia-Perez, José Villaveces, Salma Gamal, Giovanni Cardone, Fabiana Perocchi, et al. To cite this version: Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, et al.. mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dy- namics and mutations. Nucleic Acids Research, Oxford University Press, 2020, 10.1093/nar/gkz1128. hal-02394433 HAL Id: hal-02394433 https://hal-amu.archives-ouvertes.fr/hal-02394433 Submitted on 4 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Nucleic Acids Research, 2019 1 doi: 10.1093/nar/gkz1128 Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkz1128/5651332 by Bibliothèque de l'université la Méditerranée user on 04 December 2019 mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim1,†, Prasanna Koti1,†, Adrien Bonnard2, Fabio Marchiano3, Milena Durrbaum¨ 1, Cecilia Garcia-Perez4, Jose Villaveces1, Salma Gamal1, Giovanni Cardone1, Fabiana Perocchi4, Zuzana Storchova1,5 and Bianca H. -
SH3GLB1 Sirna (Rat)
For research purposes only, not for human use Product Data Sheet SH3GLB1 siRNA (Rat) Catalog # Source Reactivity Applications CRR4210 Synthetic R RNAi Description siRNA to inhibit SH3GLB1 expression using RNA interference Specificity SH3GLB1 siRNA (Rat) is a target-specific 19-23 nt siRNA oligo duplexes designed to knock down gene expression. Form Lyophilized powder Gene Symbol SH3GLB1 Alternative Names Endophilin-B1; SH3 domain-containing GRB2-like protein B1 Entrez Gene 292156 (Rat) SwissProt Q6AYE2 (Rat) Purity > 97% Quality Control Oligonucleotide synthesis is monitored base by base through trityl analysis to ensure appropriate coupling efficiency. The oligo is subsequently purified by affinity-solid phase extraction. The annealed RNA duplex is further analyzed by mass spectrometry to verify the exact composition of the duplex. Each lot is compared to the previous lot by mass spectrometry to ensure maximum lot-to-lot consistency. Components We offers pre-designed sets of 3 different target-specific siRNA oligo duplexes of rat SH3GLB1 gene. Each vial contains 5 nmol of lyophilized siRNA. The duplexes can be transfected individually or pooled together to achieve knockdown of the target gene, which is most commonly assessed by qPCR or western blot. Our siRNA oligos are also chemically modified (2’-OMe) at no extra charge for increased stability and enhanced knockdown in vitro and in vivo. Directions for Use We recommends transfection with 100 nM siRNA 48 to 72 hours prior to cell lysis. Application key: E- ELISA, WB- Western blot, IH- -
Bioinformatics Analysis for the Identification of Differentially Expressed Genes and Related Signaling Pathways in H
Bioinformatics analysis for the identification of differentially expressed genes and related signaling pathways in H. pylori-CagA transfected gastric cancer cells Dingyu Chen*, Chao Li, Yan Zhao, Jianjiang Zhou, Qinrong Wang and Yuan Xie* Key Laboratory of Endemic and Ethnic Diseases , Ministry of Education, Guizhou Medical University, Guiyang, China * These authors contributed equally to this work. ABSTRACT Aim. Helicobacter pylori cytotoxin-associated protein A (CagA) is an important vir- ulence factor known to induce gastric cancer development. However, the cause and the underlying molecular events of CagA induction remain unclear. Here, we applied integrated bioinformatics to identify the key genes involved in the process of CagA- induced gastric epithelial cell inflammation and can ceration to comprehend the potential molecular mechanisms involved. Materials and Methods. AGS cells were transected with pcDNA3.1 and pcDNA3.1::CagA for 24 h. The transfected cells were subjected to transcriptome sequencing to obtain the expressed genes. Differentially expressed genes (DEG) with adjusted P value < 0.05, | logFC |> 2 were screened, and the R package was applied for gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The differential gene protein–protein interaction (PPI) network was constructed using the STRING Cytoscape application, which conducted visual analysis to create the key function networks and identify the key genes. Next, the Submitted 20 August 2020 Kaplan–Meier plotter survival analysis tool was employed to analyze the survival of the Accepted 11 March 2021 key genes derived from the PPI network. Further analysis of the key gene expressions Published 15 April 2021 in gastric cancer and normal tissues were performed based on The Cancer Genome Corresponding author Atlas (TCGA) database and RT-qPCR verification. -
MOCHI Enables Discovery of Heterogeneous Interactome Modules in 3D Nucleome
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome Dechao Tian1,# , Ruochi Zhang1,# , Yang Zhang1, Xiaopeng Zhu1, and Jian Ma1,* 1Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA #These two authors contributed equally *Correspondence: [email protected] Contact To whom correspondence should be addressed: Jian Ma School of Computer Science Carnegie Mellon University 7705 Gates-Hillman Complex 5000 Forbes Avenue Pittsburgh, PA 15213 Phone: +1 (412) 268-2776 Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The composition of the cell nucleus is highly heterogeneous, with different constituents forming complex interactomes. However, the global patterns of these interwoven heterogeneous interactomes remain poorly understood. Here we focus on two different interactomes, chromatin interaction network and gene regulatory network, as a proof-of-principle, to identify heterogeneous interactome modules (HIMs), each of which represents a cluster of gene loci that are in spatial contact more frequently than expected and that are regulated by the same group of transcription factors. HIM integrates transcription factor binding and 3D genome structure to reflect “transcriptional niche” in the nucleus. We develop a new algorithm MOCHI to facilitate the discovery of HIMs based on network motif clustering in heterogeneous interactomes. By applying MOCHI to five different cell types, we found that HIMs have strong spatial preference within the nucleus and exhibit distinct functional properties. Through integrative analysis, this work demonstrates the utility of MOCHI to identify HIMs, which may provide new perspectives on the interplay between transcriptional regulation and 3D genome organization. -
Network Organization of the Human Autophagy System
Vol 466 | 1 July 2010 | doi:10.1038/nature09204 ARTICLES Network organization of the human autophagy system Christian Behrends1, Mathew E. Sowa1, Steven P. Gygi2 & J. Wade Harper1 Autophagy, the process by which proteins and organelles are sequestered in autophagosomal vesicles and delivered to the lysosome/vacuole for degradation, provides a primary route for turnover of stable and defective cellular proteins. Defects in this system are linked with numerous human diseases. Although conserved protein kinase, lipid kinase and ubiquitin-like protein conjugation subnetworks controlling autophagosome formation and cargo recruitment have been defined, our understanding of the global organization of this system is limited. Here we report a proteomic analysis of the autophagy interaction network in human cells under conditions of ongoing (basal) autophagy, revealing a network of 751 interactions among 409 candidate interacting proteins with extensive connectivity among subnetworks. Many new autophagy interaction network components have roles in vesicle trafficking, protein or lipid phosphorylation and protein ubiquitination, and affect autophagosome number or flux when depleted by RNA interference. The six ATG8 orthologues in humans (MAP1LC3/GABARAP proteins) interact with a cohort of 67 proteins, with extensive binding partner overlap between family members, and frequent involvement of a conserved surface on ATG8 proteins known to interact with LC3-interacting regions in partner proteins. These studies provide a global view of the mammalian autophagy interaction landscape and a resource for mechanistic analysis of this critical protein homeostasis pathway. Protein homeostasis in eukaryotes is controlled by proteasomal turn- promote incorporation of Atg8p--PE into autophagosomes, allowing over of unstable proteins via the ubiquitin system and lysosomal turn- Atg8p to promote autophagosome closure and cargo recruitment. -
Autophagy-Related Gene Expression Is an Independent Prognostic Indicator of Glioma
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 37), pp: 60987-61000 Research Paper Autophagy-related gene expression is an independent prognostic indicator of glioma Huixue Zhang1,*, Xiaoyan Lu1,*, Ning Wang1,*, Jianjian Wang1, Yuze Cao2,1, Tianfeng Wang1, Xueling Zhou1, Yang Jiao1, Lei Yang1, Xiaokun Wang1, Lin Cong1, Jianlong Li3, Jie Li1, He-Ping Ma4, Yonghui Pan5, Shangwei Ning6 and Lihua Wang1 1Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China 2Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China 3Department of Neurosurgery, The Second Affiliated Hospital, Harbin Medical University, Harbin, China 4Department of Physiology, Emory University School of Medicine, Atlanta, GA, USA 5Department of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin, China 6College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China *These authors have contributed equally to this work Correspondence to: Lihua Wang, email: [email protected] Shangwei Ning, email: [email protected] Yonghui Pan, email: [email protected] Keywords: autophagy, glioma, prognostic signature, survival Received: November 01, 2016 Accepted: April 17, 2017 Published: May 09, 2017 Copyright: Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT In this study, we identified 74 differentially expressed autophagy-related genes in glioma patients. Analysis using a Cox proportional hazard regression model showed that MAPK8IP1 and SH3GLB1, two autophagy-related genes, were associated with the prognostic signature for glioma. -
Endosomal PI(3)P Regulation by the COMMD/CCDC22/CCDC93
ARTICLE https://doi.org/10.1038/s41467-019-12221-6 OPEN Endosomal PI(3)P regulation by the COMMD/ CCDC22/CCDC93 (CCC) complex controls membrane protein recycling Amika Singla 1,5, Alina Fedoseienko2,5, Sai S.P. Giridharan3, Brittany L. Overlee2, Adam Lopez1, Da Jia 4, Jie Song1, Kayci Huff-Hardy1, Lois Weisman3, Ezra Burstein 1,6 & Daniel D. Billadeau2,6 1234567890():,; Protein recycling through the endolysosomal system relies on molecular assemblies that interact with cargo proteins, membranes, and effector molecules. Among them, the COMMD/CCDC22/CCDC93 (CCC) complex plays a critical role in recycling events. While CCC is closely associated with retriever, a cargo recognition complex, its mechanism of action remains unexplained. Herein we show that CCC and retriever are closely linked through sharing a common subunit (VPS35L), yet the integrity of CCC, but not retriever, is required to maintain normal endosomal levels of phosphatidylinositol-3-phosphate (PI(3)P). CCC complex depletion leads to elevated PI(3)P levels, enhanced recruitment and activation of WASH (an actin nucleation promoting factor), excess endosomal F-actin and trapping of internalized receptors. Mechanistically, we find that CCC regulates the phosphorylation and endosomal recruitment of the PI(3)P phosphatase MTMR2. Taken together, we show that the regulation of PI(3)P levels by the CCC complex is critical to protein recycling in the endosomal compartment. 1 Department of Internal Medicine, and Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 2 Division of Oncology Research and Department of Biochemistry and Molecular Biology, College of Medicine, Mayo Clinic, Rochester, MN 55905, USA. -
Bioinformatics Analysis and Insights for the Role of COMMD7 in Hepatocellular Carcinoma
Bioinformatics Analysis and Insights for The Role of COMMD7 in Hepatocellular Carcinoma Xuehui Peng Army Medical University Yonggang He Army Medical University Xiaobing Huang Army Medical University Nan You Army Medical University Huiying Gu Army Medical University Rui Dong Army Medical University Xiaomin Yang Army Medical University Lu Zheng Army Medical University Jing Li ( [email protected] ) Army Medical University Research article Keywords: COMMD7, Hepatocellular carcinoma, tumor progression, NF-κB, CXCL10 Posted Date: October 6th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-79438/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Background: The tumorigenesis and development of hepatocellular carcinoma (HCC) is a process involving multiple factors. The COMMDs family proteins were reported to play important roles in various disease and cancers including HCC. We previously found COMMD7 acted as a HCC-promotion factor; however, further understanding on COMMD7 was needed. We conducted these bioinformatics analysis for the purpose of comprehensive understanding of the functional role of COMMD7 in HCC. Methods: The bioinformatics analysis of COMMD7 were launched by online platforms including KEGG, GEPIA, cBioportal, Gene Ontology and The Kaplan-Meier plotter. Data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were downloaded, and the data analysis and processing were conducted by RStudio (version 1.3.959) software. Results: The expression prole results of COMMD7 in TCGA and GTEx database suggested that COMMD7 expressed highly in liver tumor tissues and positively related with poorer prognosis (p<0.01); COMMD7 also contributed to the early development of HCC as its higher expression resulted in progression from stage I to stage III (p<0.01). -
Genomic Analyses Reveal Global Functional Alterations That Promote Tumor Growth and Novel Tumor Suppressor Genes in Natural Killer-Cell Malignancies
Leukemia (2009) 23, 1139–1151 & 2009 Macmillan Publishers Limited All rights reserved 0887-6924/09 $32.00 www.nature.com/leu ORIGINAL ARTICLE Genomic analyses reveal global functional alterations that promote tumor growth and novel tumor suppressor genes in natural killer-cell malignancies J Iqbal1,9, C Kucuk1,9, RJ deLeeuw2, G Srivastava3, W Tam4, H Geng5, D Klinkebiel6, JK Christman6, K Patel1, K Cao5, L Shen3, K Dybkaer7, IFL Tsui2, H Ali5, N Shimizu8,WYAu3, WL Lam2 and WC Chan1 1Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA; 2British Columbia Cancer Research Centre, Vancouver, British columbia, Canada; 3Departments of Pathology and Medicine, University of Hong Kong, Hong Kong, Hong Kong; 4Department of Pathology, Weill Medical College of Cornell University, New York, NY, USA; 5Department of Computer Science, University of Nebraska at Omaha, Omaha, NE, USA; 6Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA; 7Department of Hematology, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark and 8Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan Natural killer (NK)-cell malignancies are among the most rare in western countries but relatively frequent in East Asia, and aggressive lymphoid neoplasms with very poor prognosis. Central and South America.3 The diagnostic characteristics of We performed array comparative genomic hybridization analysis on a number of NK cell lines and primary tumors to NK-cell malignancies include germline T-cell receptor and gain better understanding of the pathogenesis and tumor immunoglobulin gene configurations with expression of NK biology of these malignancies. We also obtained transcriptional cell-associated markers such as CD16 and CD56, but not profiles of genes residing in these regions and compared them surface CD3. -
1 Genomewide and Parental Allele-Specific Analysis of CTCF And
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Genomewide and parental allele-specific analysis of CTCF and cohesin DNA binding in mouse brain reveals a tissue-specific binding pattern and an association with imprinted differentially methylated regions Adam R. Prickett1, Nikolaos Barkas1, Ruth B. McCole1, Siobhan Hughes, Samuele M. Amante, Reiner Schulz and Rebecca J. Oakey*. Department of Medical & Molecular Genetics, King’s College London, 8th Floor Tower Wing, Guy’s Hospital, London, SE1 9RT, UK. 1These authors made equal contributions to this work. * To whom correspondence should be addressed: telephone +44 (0)20 7188 3711, fax +44 (0)20 7188 2585, email [email protected] Running Title: Genomewide binding of CTCF and cohesin. Keywords: ChIP-seq; CTCF & cohesin binding sites; consensus and tissue specific binding motifs; imprinting. The GEO accession is GSE35140. 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract DNA binding factors are essential for regulating gene expression. CTCF and cohesin are DNA binding factors with central roles in chromatin organization and gene expression. We determined the sites of CTCF and cohesin binding to DNA in mouse brain, genomewide and in an allele-specific manner with high read-depth ChIP-seq. By comparing our results to existing data for mouse liver and ES cells, we investigated the tissue-specificity of CTCF binding sites. ES cells have fewer unique CTCF binding sites occupied than liver and brain, consistent with a ground state pattern of CTCF binding that is elaborated during differentiation.