And ARH3- Dependent ADP-Ribosylome
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Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Computational Modeling of Lysine Post-Translational Modification: an Overview Md
c and S eti ys h te nt m y s S B Hasan MM et al., Curr Synthetic Sys Biol 2018, 6:1 t i n o e l Current Synthetic and o r r g DOI: 10.4172/2332-0737.1000137 u y C ISSN: 2332-0737 Systems Biology CommentaryResearch Article OpenOpen Access Access Computational Modeling of Lysine Post-Translational Modification: An Overview Md. Mehedi Hasan 1*, Mst. Shamima Khatun2, and Hiroyuki Kurata1,3 1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan 2Department of Statistics, Laboratory of Bioinformatics, Rajshahi University-6205, Bangladesh 3Biomedical Informatics R&D Center, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan Commentary hot spot for PTMs, and a number of protein lysine modifications could occur in both histone and non-histone proteins [11,12]. For instance, Living organisms have a magnificent ordered and complex lysine methylation in non-histone proteins can regulate the protein structure. In regulating the cellular functions, post-translational activity and protein structure stability [13]. In 2004, the Nobel Prize in modifications (PTMs) are critical molecular measures. They alter Chemistry was awarded jointly to Aaron Ciechanover, Avram Hershko protein conformation, modulating their activity, stability and and Irwin Rose for the discovery of lysine ubiquitin-mediated protein localization. Up to date, more than 300 types of PTMs are experimentally degradation [14]. discovered in vivo and in vitro pathways [1,2]. Major and common PTMs are methylation, ubiquitination, succinylation, phosphorylation, Moreover, in biological process, lysine can be modified by the glycosylation, acetylation, and sumoylation. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
ADPRHL2 Antibody (N-Term) Affinity Purified Rabbit Polyclonal Antibody (Pab) Catalog # Ap9723a
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 ADPRHL2 Antibody (N-term) Affinity Purified Rabbit Polyclonal Antibody (Pab) Catalog # AP9723a Specification ADPRHL2 Antibody (N-term) - Product Information Application WB, FC,E Primary Accession Q9NX46 Reactivity Human Host Rabbit Clonality Polyclonal Isotype Rabbit IgG Antigen Region 87-114 ADPRHL2 Antibody (N-term) - Additional Information Gene ID 54936 Western blot analysis of ADPRHL2 Antibody Other Names (N-term) (Cat. #AP9723a) in Hela cell line Poly(ADP-ribose) glycohydrolase ARH3, lysates (35ug/lane). ADPRHL2 (arrow) was ADP-ribosylhydrolase 3, [Protein detected using the purified Pab. ADP-ribosylarginine] hydrolase-like protein 2, ADPRHL2, ARH3 Target/Specificity This ADPRHL2 antibody is generated from rabbits immunized with a KLH conjugated synthetic peptide between 87-114 amino acids from the N-terminal region of human ADPRHL2. Dilution WB~~1:1000 FC~~1:10~50 Format Purified polyclonal antibody supplied in PBS with 0.09% (W/V) sodium azide. This antibody is purified through a protein A ADPRHL2 Antibody (N-term) (Cat. column, followed by peptide affinity #AP9723a) flow cytometric analysis of Hela purification. cells (right histogram) compared to a negative control cell (left Storage histogram).FITC-conjugated goat-anti-rabbit Maintain refrigerated at 2-8°C for up to 2 secondary antibodies were used for the weeks. For long term storage store at -20°C analysis. in small aliquots to prevent freeze-thaw cycles. ADPRHL2 Antibody (N-term) - Background Precautions Page 1/3 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 ADPRHL2 Antibody (N-term) is for research ADPRHL2 is a member of the use only and not for use in diagnostic or ADP-ribosylglycohydrolase family. -
P53 Acetylation: Regulation and Consequences
Cancers 2015, 7, 30-69; doi:10.3390/cancers7010030 OPEN ACCESS cancers ISSN 2072-6694 www.mdpi.com/journal/cancers Review p53 Acetylation: Regulation and Consequences Sara M. Reed 1,2 and Dawn E. Quelle 1,2,3,* 1 Department of Pharmacology, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; E-Mail: [email protected] 2 Medical Scientist Training Program, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA 3 Department of Pathology, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-319-353-5749; Fax: +1-319-335-8930. Academic Editor: Rebecca S. Hartley Received: 18 March 2014 / Accepted: 12 December 2014 / Published: 23 December 2014 Abstract: Post-translational modifications of p53 are critical in modulating its tumor suppressive functions. Ubiquitylation, for example, plays a major role in dictating p53 stability, subcellular localization and transcriptional vs. non-transcriptional activities. Less is known about p53 acetylation. It has been shown to govern p53 transcriptional activity, selection of growth inhibitory vs. apoptotic gene targets, and biological outcomes in response to diverse cellular insults. Yet recent in vivo evidence from mouse models questions the importance of p53 acetylation (at least at certain sites) as well as canonical p53 functions (cell cycle arrest, senescence and apoptosis) to tumor suppression. This review discusses the cumulative findings regarding p53 acetylation, with a focus on the acetyltransferases that modify p53 and the mechanisms regulating their activity. We also evaluate what is known regarding the influence of other post-translational modifications of p53 on its acetylation, and conclude with the current outlook on how p53 acetylation affects tumor suppression. -
Protein Acetylation at the Interface of Genetics, Epigenetics and Environment in Cancer
H OH metabolites OH Review Protein Acetylation at the Interface of Genetics, Epigenetics and Environment in Cancer Mio Harachi 1, Kenta Masui 1,* , Webster K. Cavenee 2, Paul S. Mischel 3 and Noriyuki Shibata 1 1 Department of Pathology, Division of Pathological Neuroscience, Tokyo Women’s Medical University, Tokyo 162-8666, Japan; [email protected] (M.H.); [email protected] (N.S.) 2 Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA 92093, USA; [email protected] 3 Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; [email protected] * Correspondence: [email protected]; Tel.: +81-3-3353-8111; Fax: +81-3-5269-7408 Abstract: Metabolic reprogramming is an emerging hallmark of cancer and is driven by abnormalities of oncogenes and tumor suppressors. Accelerated metabolism causes cancer cell aggression through the dysregulation of rate-limiting metabolic enzymes as well as by facilitating the production of intermediary metabolites. However, the mechanisms by which a shift in the metabolic landscape reshapes the intracellular signaling to promote the survival of cancer cells remain to be clarified. Recent high-resolution mass spectrometry-based proteomic analyses have spotlighted that, unex- pectedly, lysine residues of numerous cytosolic as well as nuclear proteins are acetylated and that this modification modulates protein activity, sublocalization and stability, with profound impact on cellular function. More importantly, cancer cells exploit acetylation as a post-translational protein for microenvironmental adaptation, nominating it as a means for dynamic modulation of the phenotypes of cancer cells at the interface between genetics and environments. -
Control of Smad7 Stability by Competition Between Acetylation and Ubiquitination
Molecular Cell, Vol. 10, 483–493, September, 2002, Copyright 2002 by Cell Press Control of Smad7 Stability by Competition between Acetylation and Ubiquitination Eva Gro¨ nroos, Ulf Hellman, Carl-Henrik Heldin, 1998), where it binds the receptors and inhibits further and Johan Ericsson1 signaling by at least two different mechanisms. First, Ludwig Institute for Cancer Research Smad7 is able to interfere with TGF signaling by Box 595 blocking the interactions between the R-Smads and the Husargatan 3 activated receptors (Hayashi et al., 1997; Nakao et al., S-751 24 Uppsala 1997). Second, Smad7 interacts with the E3-ubiquitin Sweden ligases Smurf1 or Smurf2 in the nucleus; after TGF stimulation, the Smad7-Smurf complex translocates from the nucleus to the plasma membrane, where Smurf Summary induces ubiquitination and degradation of the TGF re- ceptors (Ebisawa et al., 2001; Kavsak et al., 2000). Smad proteins regulate gene expression in response Acetylation is a dynamic posttranslational modifica- to TGF signaling. Here we present evidence that tion of lysine residues. Proteins with intrinsic histone Smad7 interacts with the transcriptional coactivator acetyltransferase (HAT) activity act as transcriptional p300, resulting in acetylation of Smad7 on two lysine coactivators by acetylating histones and thereby induce residues in its N terminus. Acetylation or mutation of an open chromatin conformation, which allows the tran- these lysine residues stabilizes Smad7 and protects scriptional machinery access to promoters (Roth et al., it from TGF-induced degradation. Furthermore, we 2001). The best characterized HATs are p300, CBP, and demonstrate that the acetylated residues in Smad7 P/CAF (Roth et al., 2001). -
Acetylation Promotes Tyrrs Nuclear Translocation to Prevent Oxidative Damage
Acetylation promotes TyrRS nuclear translocation to prevent oxidative damage Xuanye Caoa,1, Chaoqun Lia,1, Siyu Xiaoa,1, Yunlan Tanga, Jing Huanga, Shuan Zhaoa, Xueyu Lia, Jixi Lia, Ruilin Zhanga, and Wei Yua,2 aState Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai 200438, People’s Republic of China Edited by Wei Gu, Columbia University, New York, NY, and accepted by Editorial Board Member Carol Prives December 9, 2016 (received for review May 26, 2016) Tyrosyl-tRNA synthetase (TyrRS) is well known for its essential investigated in recent years (9–12). Acetylation regulates diverse aminoacylation function in protein synthesis. Recently, TyrRS has cellular processes, including gene silencing (13), oxidative stress been shown to translocate to the nucleus and protect against DNA (13, 14), DNA repair (15), cell survival and migration (16, 17), and damage due to oxidative stress. However, the mechanism of TyrRS metabolism (9, 18, 19). Most acetylated proteins act as transcrip- nuclear localization has not yet been determined. Herein, we report tion factors in the nucleus and as metabolic enzymes outside the that TyrRS becomes highly acetylated in response to oxidative nucleus (9). Strikingly, the acetylation of multiple aminoacyl- stress, which promotes nuclear translocation. Moreover, p300/ tRNA synthetases, including tyrosyl-tRNA synthetase, has been CBP-associated factor (PCAF), an acetyltransferase, and sirtuin 1 reported in a number of proteomic studies (10, 12). However, the + (SIRT1), a NAD -dependent deacetylase, regulate the nuclear local- link between acetylation and AARS remains to be established. ization of TyrRS in an acetylation-dependent manner. -
Parps and ADP-Ribosylation: Recent Advances Linking Molecular Functions to Biological Outcomes
Downloaded from genesdev.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW PARPs and ADP-ribosylation: recent advances linking molecular functions to biological outcomes Rebecca Gupte,1,2 Ziying Liu,1,2 and W. Lee Kraus1,2 1Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA; 2Division of Basic Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA The discovery of poly(ADP-ribose) >50 years ago opened units derived from β-NAD+ to catalyze the ADP-ribosyla- a new field, leading the way for the discovery of the tion reaction. These enzymes include bacterial ADPRTs poly(ADP-ribose) polymerase (PARP) family of enzymes (e.g., cholera toxin and diphtheria toxin) as well as mem- and the ADP-ribosylation reactions that they catalyze. bers of three different protein families in yeast and ani- Although the field was initially focused primarily on the mals: (1) arginine-specific ecto-enzymes (ARTCs), (2) biochemistry and molecular biology of PARP-1 in DNA sirtuins, and (3) PAR polymerases (PARPs) (Hottiger damage detection and repair, the mechanistic and func- et al. 2010). Surprisingly, a recent study showed that the tional understanding of the role of PARPs in different bio- bacterial toxin DarTG can ADP-ribosylate DNA (Jankevi- logical processes has grown considerably of late. This has cius et al. 2016). How this fits into the broader picture of been accompanied by a shift of focus from enzymology to cellular ADP-ribosylation has yet to be determined. -
Lysine Residues Control the Conformational Dynamics of Beta 2-Glycoprotein I
Showcasing research from the Group of Prof. Mihaela Delcea As featured in: at the University of Greifswald, Germany Lysine residues control the conformational dynamics of beta 2-glycoprotein I Blood protein beta 2-glycoprotein I (beta2GPI) exhibits open and closed conformations and contains many lysine residues, marked in red. In the present work, the potential role of lysine in the conformational dynamics of beta2GPI is investigated. By chemical acetylation of lysine residues, the closed protein conformation opens up as revealed by atomic force microscopy images. Lysine plays a major role in stabilizing the beta2GPI closed conformation as confirmed by lysine charge distribution calculations. See Mihaela Delcea et al., Phys. Chem. Chem. Phys., 2018, 20, 26819. rsc.li/pccp Registered charity number: 207890 PCCP View Article Online PAPER View Journal | View Issue Lysine residues control the conformational dynamics of beta 2-glycoprotein I† Cite this: Phys. Chem. Chem. Phys., 2018, 20,26819 ab ab cde ab Ina Buchholz, Peter Nestler, Susan Ko¨ppen and Mihaela Delcea * One of the major problems in the study of the dynamics of proteins is the visualization of changing conformations that are important for processes ranging from enzyme catalysis to signaling. A protein exhibiting conformational dynamics is the soluble blood protein beta 2-glycoprotein I (beta2GPI), which exists in two conformations: the closed (circular) form and the open (linear) form. It is hypothesized that an increased proportion of the open conformation leads to the autoimmune disease antiphospholipid syndrome (APS). A characteristic feature of beta2GPI is the high content of lysine residues. However, the potential role of lysine in the conformational dynamics of beta2GPI has been poorly investigated. -
Analysis and Prediction of Human Acetylation Using a Cascade Classifier Based on Support Vector Machine Qiao Ning, Miao Yu, Jinchao Ji, Zhiqiang Ma* and Xiaowei Zhao*
Ning et al. BMC Bioinformatics (2019) 20:346 https://doi.org/10.1186/s12859-019-2938-7 RESEARCH ARTICLE Open Access Analysis and prediction of human acetylation using a cascade classifier based on support vector machine Qiao Ning, Miao Yu, Jinchao Ji, Zhiqiang Ma* and Xiaowei Zhao* Abstract Background: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in proteins accurately. Computational methods are popular because they are more convenient and faster than experimental methods. In this study, we proposed a new computational method to predict acetylation sites in human by combining sequence features and structural features including physicochemical property (PCP), position specific score matrix (PSSM), auto covariation (AC), residue composition (RC), secondary structure (SS) and accessible surface area (ASA), which can well characterize the information of acetylated lysine sites. Besides, a two-step feature selection was applied, which combined mRMR and IFS. It finally trained a cascade classifier based on SVM, which successfully solved the imbalance between positive samples and negative samples and covered all negative sample information. Results: The performance of this method is measured with a specificity of 72.19% and a sensibility of 76.71% on independent dataset which shows that a cascade SVM classifier outperforms single SVM classifier. Conclusions: In addition to the analysis of experimental results, we also made a systematic and comprehensive analysis of the acetylation data. Keywords: Lysine, Acetylation sites, Human, Support vector machine, Cascade classifier, Sequence features, Structural feature, Systematic and comprehensive analysis Key points acetylation is mainly focused on the influence of cell 1.