SNX8 Modulates Innate Immune Response to DNA Virus by Mediating Trafficking and Activation of MITA
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Allosteric Regulation in Drug Design
Mini Review Curr Trends Biomedical Eng & Biosci Volume 4 Issue 1 - May 2017 Copyright © All rights are reserved by Ashfaq Ur Rehman DOI: 10.19080/CTBEB.2017.04.5555630 Allosteric regulation in drug design Ashfaq Ur Rehman1,2*, Shah Saud3, Nasir Ahmad4, Abdul Wadood2 and R Hamid5 1State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, China 2Department of Biochemistry, Abdul Wali Khan University Mardan, Pakistan 3Laboratory of Analytical Biochemistry and Bio separation, Shanghai Jiao Tong University, China 4Department of Chemistry, Islama College University Peshawar, Pakistan 5Department of Bioinformatics, Muhammad Ali Jinnah University Islamabad, Pakistan Submission: May 02, 2017; Published: May 23, 2017 *Corresponding author: Ashfaq Ur Rehman, State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China, Tel: ; Fax: 86-21-34204348; Email: Abstract mechanism, which are initiated through attachment of ligand or inhibitors with the protein or enzymes other than active (orthosteric) sites. ThisProtein mini review and enzymes involved play mechanism, significant types roles and in importancebiological processes of allosteric of all regulations living organisms; in drug theirdesign functions process. are regulated through allosteric Keywords: Allosteric, Activator: Drug design Introduction and ultimately cause disease. While various biological processes expressed the control at different points in life time of protein function is pivotal. As all the cell processes are under carful For the survival of all organisms the significance of protein included regulation of gene expression, translation into protein control and if not properly controls this leads to the abnormality through control of activity and at last degradation of protein [1]. -
Hedgehog Signaling Modulates Cholesterol Homeostasis in Chondrocytes and in Osteoarthritis
HEDGEHOG SIGNALING MODULATES CHOLESTEROL HOMEOSTASIS IN CHONDROCYTES AND IN OSTEOARTHRITIS by Shabana Amanda Ali A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by Shabana Amanda Ali 2014 HEDGEHOG SIGNALING MODULATES CHOLESTEROL HOMEOSTASIS IN CHONDROCYTES AND IN OSTEOARTHRITIS Shabana Amanda Ali Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Osteoarthritis (OA) is a common degenerative disease of the joint that is characterized by degradation and calcification of articular cartilage, and subchondral bone changes. Hedgehog (Hh) signaling is known to be activated in human and murine OA. Since Hh signaling regulates Gli‐mediated gene expression, we identified Hh target genes that are expressed in chondrocytes. Microarray analyses were performed to detect changes in gene expression when the Hh pathway was modulated in human OA cartilage samples. Results from the Affymetrix Human Gene 1.0 ST microarray were analyzed for differentially expressed genes from three patient samples. Using Ingenuity® Pathway analysis, several genes known to be involved in sterol homeostasis were found to be modulated with Hh inhibition. We hypothesized that Hh signaling regulates cholesterol biosynthesis in chondrocytes, and that modulating cholesterol homeostasis impacts the severity of OA. To investigate the function of cholesterol in the cartilage, mice with chondrocyte‐specific cholesterol accumulation were generated. This was achieved by excising Insig1 and Insig2, major negative regulators of cholesterol homeostasis. Over time, mice with chondrocyte‐specific cholesterol accumulation exhibited impaired growth of the long bones. With aging or surgically induced joint instability, these mice ii developed more severe OA than control littermates. -
Design Principles for Regulator Gene Expression in a Repressible Gene
Design of Repressible Gene Circuits: M.E. Wall et al. 1 Design Principles for Regulator Gene Expression in a Repressible Gene Circuit Michael E. Wall1,2, William S. Hlavacek3* and Michael A. Savageau4+ 1Computer and Computational Sciences Division and 2Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 3Theoretical Biology and Biophysics Group (T-10), Theoretical Division, Mail Stop K710, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 4Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA +Current address: Department of Biomedical Engineering, One Shields Avenue, University of California, Davis, CA 95616, USA. *Corresponding author Tel.: +1-505 665 1355 Fax: +1-505 665 3493 E-mail address of the corresponding author: [email protected] Design of Repressible Gene Circuits: M.E. Wall et al. 2 Summary We consider the design of a type of repressible gene circuit that is common in bacteria. In this type of circuit, a regulator protein acts to coordinately repress the expression of effector genes when a signal molecule with which it interacts is present. The regulator protein can also independently influence the expression of its own gene, such that regulator gene expression is repressible (like effector genes), constitutive, or inducible. Thus, a signal-directed change in the activity of the regulator protein can result in one of three patterns of coupled regulator and effector gene expression: direct coupling, in which regulator and effector gene expression change in the same direction; uncoupling, in which regulator gene expression remains constant while effector gene expression changes; or inverse coupling, in which regulator and effector gene expression change in opposite directions. -
When STING Meets Viruses: Sensing, Trafficking Andesponse R
Washington University School of Medicine Digital Commons@Becker Open Access Publications 1-1-2020 When STING meets viruses: Sensing, trafficking andesponse r Zhaohe Li Siqi Cai Yutong Sun Li Li Siyuan Ding See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Authors Zhaohe Li, Siqi Cai, Yutong Sun, Li Li, Siyuan Ding, and Xin Wang fimmu-11-02064 September 25, 2020 Time: 19:58 # 1 REVIEW published: 29 September 2020 doi: 10.3389/fimmu.2020.02064 When STING Meets Viruses: Sensing, Trafficking and Response Zhaohe Li1, Siqi Cai1, Yutong Sun1, Li Li1,2,3, Siyuan Ding4 and Xin Wang1,2,3* 1 Key Laboratory of Marine Drugs of Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, China, 2 Center for Innovation Marine Drug Screening and Evaluation, Pilot National Laboratory for Marine Science and Technology, Qingdao, China, 3 Marine Biomedical Research Institute of Qingdao, Qingdao, China, 4 Department of Molecular Microbiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States To effectively defend against microbial pathogens, the host cells mount antiviral innate immune responses by producing interferons (IFNs), and hundreds of IFN-stimulated genes (ISGs). Upon recognition of cytoplasmic viral or bacterial DNAs and abnormal endogenous DNAs, the DNA sensor cGAS synthesizes 2’,3’-cGAMP that induces STING (stimulator of interferon genes) undergoing conformational changes, cellular trafficking, and the activation of downstream factors. Therefore, STING plays a pivotal role in preventing microbial pathogen infection by sensing DNAs during pathogen invasion. This review is dedicated to the recent advances in the dynamic regulations of STING activation, intracellular trafficking, and post-translational modifications (PTMs) Edited by: by the host and microbial proteins. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Sorting Nexins in Protein Homeostasis Sara E. Hanley1,And Katrina F
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 6 November 2020 doi:10.20944/preprints202011.0241.v1 Sorting nexins in protein homeostasis Sara E. Hanley1,and Katrina F. Cooper2* 1Department of Molecular Biology, Graduate School of Biomedical Sciences, Rowan University, Stratford, NJ, 08084, USA 1 [email protected] 2 [email protected] * [email protected] Tel: +1 (856)-566-2887 1Department of Molecular Biology, Graduate School of Biomedical Sciences, Rowan University, Stratford, NJ, 08084, USA Abstract: Sorting nexins (SNXs) are a highly conserved membrane-associated protein family that plays a role in regulating protein homeostasis. This family of proteins is unified by their characteristic phox (PX) phosphoinositides binding domain. Along with binding to membranes, this family of SNXs also comprises a diverse array of protein-protein interaction motifs that are required for cellular sorting and protein trafficking. SNXs play a role in maintaining the integrity of the proteome which is essential for regulating multiple fundamental processes such as cell cycle progression, transcription, metabolism, and stress response. To tightly regulate these processes proteins must be expressed and degraded in the correct location and at the correct time. The cell employs several proteolysis mechanisms to ensure that proteins are selectively degraded at the appropriate spatiotemporal conditions. SNXs play a role in ubiquitin-mediated protein homeostasis at multiple levels including cargo localization, recycling, degradation, and function. In this review, we will discuss the role of SNXs in three different protein homeostasis systems: endocytosis lysosomal, the ubiquitin-proteasomal, and the autophagy-lysosomal system. The highly conserved nature of this protein family by beginning with the early research on SNXs and protein trafficking in yeast and lead into their important roles in mammalian systems. -
Spatiotemporal Profiling of Cytosolic Signaling Complexes in Living Cells by Selective Proximity Proteomics
ARTICLE https://doi.org/10.1038/s41467-020-20367-x OPEN Spatiotemporal profiling of cytosolic signaling complexes in living cells by selective proximity proteomics Mi Ke1,6, Xiao Yuan1,6,AnHe1, Peiyuan Yu 1, Wendong Chen1, Yu Shi2, Tony Hunter 2, Peng Zou 3 & ✉ Ruijun Tian 1,4,5 1234567890():,; Signaling complexes are often organized in a spatiotemporal manner and on a minute timescale. Proximity labeling based on engineered ascorbate peroxidase APEX2 pioneered in situ capture of spatiotemporal membrane protein complexes in living cells, but its appli- cation to cytosolic proteins remains limited due to the high labeling background. Here, we develop proximity labeling probes with increased labeling selectivity. These probes, in combination with label-free quantitative proteomics, allow exploring cytosolic protein assemblies such as phosphotyrosine-mediated protein complexes formed in response to minute-scale EGF stimulation. As proof-of-concept, we systematically profile the spatio- temporal interactome of the EGFR signaling component STS1. For STS1 core complexes, our proximity proteomics approach shows comparable performance to affinity purification-mass spectrometry-based temporal interactome profiling, while also capturing additional— especially endosomally-located—protein complexes. In summary, we provide a generic approach for exploring the interactome of mobile cytosolic proteins in living cells at a tem- poral resolution of minutes. 1 Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen, China. 2 Molecular and Cell Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA. 3 College of Chemistry and Molecular Engineering, Peking University, Beijing, China. 4 Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, China. -
Sorting Nexin-4 Regulates Β-Amyloid Production by Modulating Β-Site
Kim et al. Alzheimer's Research & Therapy (2017) 9:4 DOI 10.1186/s13195-016-0232-8 RESEARCH Open Access Sorting nexin-4 regulates β-amyloid production by modulating β-site-activating cleavage enzyme-1 Na-Young Kim1,2,3,4†, Mi-Hyang Cho1,2,3,4†, Se-Hoon Won1,2,3,4, Hoe-Jin Kang1,2,3,4, Seung-Yong Yoon1,2,3,4* and Dong-Hou Kim1,2,3,4* Abstract Background: Amyloid precursor protein (APP) is cleaved by β-site amyloid precursor protein-cleaving enzyme 1 (BACE1) to produce β-amyloid (Aβ), a critical pathogenic peptide in Alzheimer’s disease (AD). Aβ generation can be affected by the intracellular trafficking of APP or its related secretases, which is thus important to understanding its pathological alterations. Although sorting nexin (SNX) family proteins regulate this trafficking, the relevance and role of sorting nexin-4 (SNX4) regarding AD has not been studied yet. Methods: In this study, human brain tissue and APP/PS1 mouse brain tissue were used to check the disease relevance of SNX4. To investigate the role of SNX4 in AD pathogenesis, several experiments were done, such as coimmunoprecipitation, Western blotting, immunohistochemistry, and gradient fractionation. Results: We found that SNX4 protein levels changed in the brains of patients with AD and of AD model mice. Overexpression of SNX4 significantly increased the levels of BACE1 and Aβ. Downregulation of SNX4 had the opposite effect. SNX4 interacts with BACE1 and prevents BACE1 trafficking to the lysosomal degradation system, resulting in an increased half-life of BACE1 and increased production of Aβ. -
Mir-17-92 Fine-Tunes MYC Expression and Function to Ensure
ARTICLE Received 31 Mar 2015 | Accepted 22 Sep 2015 | Published 10 Nov 2015 DOI: 10.1038/ncomms9725 OPEN miR-17-92 fine-tunes MYC expression and function to ensure optimal B cell lymphoma growth Marija Mihailovich1, Michael Bremang1, Valeria Spadotto1, Daniele Musiani1, Elena Vitale1, Gabriele Varano2,w, Federico Zambelli3, Francesco M. Mancuso1,w, David A. Cairns1,w, Giulio Pavesi3, Stefano Casola2 & Tiziana Bonaldi1 The synergism between c-MYC and miR-17-19b, a truncated version of the miR-17-92 cluster, is well-documented during tumor initiation. However, little is known about miR-17-19b function in established cancers. Here we investigate the role of miR-17-19b in c-MYC-driven lymphomas by integrating SILAC-based quantitative proteomics, transcriptomics and 30 untranslated region (UTR) analysis upon miR-17-19b overexpression. We identify over one hundred miR-17-19b targets, of which 40% are co-regulated by c-MYC. Downregulation of a new miR-17/20 target, checkpoint kinase 2 (Chek2), increases the recruitment of HuR to c- MYC transcripts, resulting in the inhibition of c-MYC translation and thus interfering with in vivo tumor growth. Hence, in established lymphomas, miR-17-19b fine-tunes c-MYC activity through a tight control of its function and expression, ultimately ensuring cancer cell homeostasis. Our data highlight the plasticity of miRNA function, reflecting changes in the mRNA landscape and 30 UTR shortening at different stages of tumorigenesis. 1 Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, Milan 20139, Italy. 2 Units of Genetics of B cells and lymphomas, IFOM, FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy. -
E3 Ubiquitin Ligase SYVN1 Is a Key Positive Regulator for GSDMD
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.21.453219; this version posted July 21, 2021. 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. 1 E3 ubiquitin ligase SYVN1 is a key positive regulator for 2 GSDMD-mediated pyroptosis 3 4 Yuhua Shi 1,2,#, Yang Yang3,#, Weilv Xu1,#, Wei Xu1, Xinyu Fu1, Qian Lv1, Jie Xia1, 5 Fushan Shi1,2,* 6 1 Department of Veterinary Medicine, College of Animal Sciences, Zhejiang 7 University, Hangzhou 310058, Zhejiang, PR China 8 2 Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, Zhejiang 9 University, Hangzhou 310058, Zhejiang, PR China 10 3 Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of 11 Zhejiang Province, Zhejiang Provincial Engineering Laboratory for Animal Health 12 Inspection & Internet Technology, College of Animal Science and Technology & 13 College of Veterinary Medicine of Zhejiang A&F University, Hangzhou 311300, 14 Zhejiang, China 15 # These authors contributed equally to this work 16 *Corresponding author: Fushan Shi, E-mail: [email protected], Tel: 17 +086-0571-88982275 18 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.21.453219; this version posted July 21, 2021. 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. 19 Abstract 20 Gasdermin D (GSDMD) participates in activation of inflammasomes and pyroptosis. 21 Meanwhile, ubiquitination strictly regulates inflammatory responses. However, how 22 ubiquitination regulates Gasdermin D activity is not well understood. -
A PX-BAR Protein Mvp1/SNX8 and a Dynamin-Like Gtpase Vps1 Drive Endosomal Recycling
Manuscript bioRxiv preprint doi: https://doi.org/10.1101/2021.03.11.434991; this version posted March 11, 2021. TheClick copyright here holder to view for this linked preprint References (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. A PX-BAR protein Mvp1/SNX8 and a dynamin-like GTPase Vps1 drive endosomal recycling Sho W. Suzuki1, Akihiko Oishi1, Nadia Nikulin1, Jeff R. Jorgensen1, Matthew G. Baile1, and Scott D. Emr1,2* 1Weill Institute for Cell and Molecular Biology and Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA. 2Lead Contact *Correspondence to Scott D. Emr: [email protected] Running title: Mvp1/SNX8 mediated endosomal recycling In Brief: PX-BAR Mvp1 and dynamin-like GTPase Vps1 drive retromer independent endosomal recycling. Key words; retromer, SNX8, dynamin, endosome Highlights ・Retromer- and Snx4-independent endosomal recycling pathway discovered ・SNX-BAR Mvp1 and dynamin-like GTPase Vps1 mediate cargo sorting into recycling tubules/vesicles in the absence of retromer function ・Mvp1 together with retromer and Snx4 complexes contribute to proper endosome function ・Mvp1 mediated recycling is evolutionary conserved from yeast to humans Characters: 43,934/45,000 (including spaces and main figure legends but excluding STAR Methods text, supplemental item legends, and References section) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.11.434991; this version posted March 11, 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. -
Rats and Axolotls Share a Common Molecular Signature After Spinal Cord Injury Enriched in Collagen-1
Rats and axolotls share a common molecular signature after spinal cord injury enriched in collagen-1 Athanasios Didangelos1, Katalin Bartus1, Jure Tica1, Bernd Roschitzki2, Elizabeth J. Bradbury1 1Wolfson CARD King’s College London, United Kingdom. 2Centre for functional Genomics, ETH Zurich, Switzerland. Running title: spinal cord injury in rats and axolotls Correspondence: A Didangelos: [email protected] SUPPLEMENTAL FIGURES AND LEGENDS Supplemental Fig. 1: Rat 7 days microarray differentially regulated transcripts. A-B: Protein-protein interaction networks of upregulated (A) and downregulated (B) transcripts identified by microarray gene expression profiling of rat SCI (4 sham versus 4 injured spinal cord samples) 7 days post-injury. Microarray expression data and experimental information is publicly available online (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45006) and is also summarised in Supplemental Table 1. Protein-protein interaction networks were performed in StringDB using the full range of protein interaction scores (0.15 – 0.99) to capture maximum evidence of proteins’ interactions. Networks were then further analysed for betweeness centrality and gene ontology (GO) annotations (BinGO) in Cytoscape. Node colour indicates betweeness centrality while edge colour and thickness indicate interaction score based on predicted functional links between nodes (green: low values; red: high values). C-D: The top 10 upregulated (C) or downregulated (D) transcripts sorted by betweeness centrality score in protein-protein interaction networks shown in A & B. E-F: Biological process GO analysis was performed on networks of upregulated and downregulated genes using BinGO in Cytoscape. Graphs indicate the 20 most significant GO categories and the number of genes in each category.