Studies of the Thioredoxin System in Redox Signaling and Oxidative Stress
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Targeted Genes and Methodology Details for Neuromuscular Genetic Panels
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels Reference transcripts based on build GRCh37 (hg19) interrogated by Neuromuscular Genetic Panels Next-generation sequencing (NGS) and/or Sanger sequencing is performed Motor Neuron Disease Panel to test for the presence of a mutation in these genes. Gene GenBank Accession Number Regions of homology, high GC-rich content, and repetitive sequences may ALS2 NM_020919 not provide accurate sequence. Therefore, all reported alterations detected ANG NM_001145 by NGS are confirmed by an independent reference method based on laboratory developed criteria. However, this does not rule out the possibility CHMP2B NM_014043 of a false-negative result in these regions. ERBB4 NM_005235 Sanger sequencing is used to confirm alterations detected by NGS when FIG4 NM_014845 appropriate.(Unpublished Mayo method) FUS NM_004960 HNRNPA1 NM_031157 OPTN NM_021980 PFN1 NM_005022 SETX NM_015046 SIGMAR1 NM_005866 SOD1 NM_000454 SQSTM1 NM_003900 TARDBP NM_007375 UBQLN2 NM_013444 VAPB NM_004738 VCP NM_007126 ©2018 Mayo Foundation for Medical Education and Research Page 1 of 14 MC4091-83rev1018 Muscular Dystrophy Panel Muscular Dystrophy Panel Gene GenBank Accession Number Gene GenBank Accession Number ACTA1 NM_001100 LMNA NM_170707 ANO5 NM_213599 LPIN1 NM_145693 B3GALNT2 NM_152490 MATR3 NM_199189 B4GAT1 NM_006876 MYH2 NM_017534 BAG3 NM_004281 MYH7 NM_000257 BIN1 NM_139343 MYOT NM_006790 BVES NM_007073 NEB NM_004543 CAPN3 NM_000070 PLEC NM_000445 CAV3 NM_033337 POMGNT1 NM_017739 CAVIN1 NM_012232 POMGNT2 -
Role of Oxidative Stress in the Pathogenesis of Amyotrophic Lateral Sclerosis: Antioxidant Metalloenzymes and Therapeutic Strategies
biomolecules Review Role of Oxidative Stress in the Pathogenesis of Amyotrophic Lateral Sclerosis: Antioxidant Metalloenzymes and Therapeutic Strategies Pavlína Hemerková * and Martin Vališ Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, 500 05 Hradec Kralove, Czech Republic; [email protected] * Correspondence: [email protected]; Tel.: +420-731-304-371 Abstract: Amyotrophic lateral sclerosis (ALS) affects motor neurons in the cerebral cortex, brainstem and spinal cord and leads to death due to respiratory failure within three to five years. Although the clinical symptoms of this disease were first described in 1869 and it is the most common motor neuron disease and the most common neurodegenerative disease in middle-aged individuals, the exact etiopathogenesis of ALS remains unclear and it remains incurable. However, free oxygen radicals (i.e., molecules containing one or more free electrons) are known to contribute to the pathogenesis of this disease as they very readily bind intracellular structures, leading to functional impairment. Antioxidant enzymes, which are often metalloenzymes, inactivate free oxygen radicals by converting them into a less harmful substance. One of the most important antioxidant enzymes is Cu2+Zn2+ superoxide dismutase (SOD1), which is mutated in 20% of cases of the familial form of ALS (fALS) and up to 7% of sporadic ALS (sALS) cases. In addition, the proper functioning of catalase and glutathione peroxidase (GPx) is essential for antioxidant protection. In this review article, we focus on the mechanisms through which these enzymes are involved in the antioxidant response to oxidative Citation: Hemerková, P.; Vališ, M. Role of Oxidative Stress in the stress and thus the pathogenesis of ALS and their potential as therapeutic targets. -
192ICM ICBIC Abstracts
Workshop Lecture Journal of Inorganic Biochemistry 96 (2003) 3 Structural Genomics Antonio Rosato, Magnetic Resonance Center, University of Florence, Italy To realize the true value of the wealth of data provided by genome sequencing data, it is necessary to relate them to the functional properties of the proteins they encode. Since the biological function of a protein is determined by its 3D structure, the systematic determination of proteins’ structures on a genome-wide scale is a crucial step in any (post-)genomic effort, which may (or may not) provide initial hints on the function. This is what is commonly referred to as ‘Structural Genomics’ (or Structural Proteomics). Because of the huge number of systems into question, all the complex steps necessary for structure determination must be optimized, streamlined and, possibly, robotized in order to shrink the time needed to solve each protein structure. This approach is dubbed ‘high-throughput’ (HTP) and is an intrinsic feature of Structural Genomics. What can be the relationship between Biological Inorganic Chemistry and Structural Genomics? A major challenge is that to reconcile the concept of HTP with the care that metalloproteins most often require because of their metal cofactors. The identifi cation of metalloproteins is even not explicitly taken into account in purely Structural Genomics projects, nor is any methodology particularly developed for them. To create true correlations between Biological Inorganic Chemistry and Structural Genomics it is necessary to develop new computational tools (e.g. to identify metalloproteins in databanks, or to correctly model their structures), as well as new methodological approaches to HTP metalloprotein expression/purifi cation and structural characterization. -
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. -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Preclinical Evaluation of Protein Disulfide Isomerase Inhibitors for the Treatment of Glioblastoma by Andrea Shergalis
Preclinical Evaluation of Protein Disulfide Isomerase Inhibitors for the Treatment of Glioblastoma By Andrea Shergalis A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Medicinal Chemistry) in the University of Michigan 2020 Doctoral Committee: Professor Nouri Neamati, Chair Professor George A. Garcia Professor Peter J. H. Scott Professor Shaomeng Wang Andrea G. Shergalis [email protected] ORCID 0000-0002-1155-1583 © Andrea Shergalis 2020 All Rights Reserved ACKNOWLEDGEMENTS So many people have been involved in bringing this project to life and making this dissertation possible. First, I want to thank my advisor, Prof. Nouri Neamati, for his guidance, encouragement, and patience. Prof. Neamati instilled an enthusiasm in me for science and drug discovery, while allowing me the space to independently explore complex biochemical problems, and I am grateful for his kind and patient mentorship. I also thank my committee members, Profs. George Garcia, Peter Scott, and Shaomeng Wang, for their patience, guidance, and support throughout my graduate career. I am thankful to them for taking time to meet with me and have thoughtful conversations about medicinal chemistry and science in general. From the Neamati lab, I would like to thank so many. First and foremost, I have to thank Shuzo Tamara for being an incredible, kind, and patient teacher and mentor. Shuzo is one of the hardest workers I know. In addition to a strong work ethic, he taught me pretty much everything I know and laid the foundation for the article published as Chapter 3 of this dissertation. The work published in this dissertation really began with the initial identification of PDI as a target by Shili Xu, and I am grateful for his advice and guidance (from afar!). -
Modulating Hallmarks of Cholangiocarcinoma
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Fall 12-14-2018 Modulating Hallmarks of Cholangiocarcinoma Cody Wehrkamp University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Molecular Biology Commons Recommended Citation Wehrkamp, Cody, "Modulating Hallmarks of Cholangiocarcinoma" (2018). Theses & Dissertations. 337. https://digitalcommons.unmc.edu/etd/337 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. MODULATING HALLMARKS OF CHOLANGIOCARCINOMA by Cody J. Wehrkamp A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor Justin L. Mott University of Nebraska Medical Center Omaha, Nebraska November 2018 Supervisory Committee: Kaustubh Datta, Ph.D. Melissa Teoh‐Fitzgerald, Ph.D. Richard G. MacDonald, Ph.D. Acknowledgements This endeavor has led to scientific as well as personal growth for me. I am indebted to many for their knowledge, influence, and support along the way. To my mentor, Dr. Justin L. Mott, you have been an incomparable teacher and invaluable guide. You upheld for me the concept that science is intrepid, even when the experience is trying. Through my training, and now here at the end, I can say that it has been an honor to be your protégé. When you have shaped your future graduates to be and do great, I will be privileged to say that I was your first one. -
Targeting SOD1 Reduces Experimental Non–Small-Cell Lung Cancer
Targeting SOD1 reduces experimental non–small-cell lung cancer Andrea Glasauer, … , Andrew P. Mazar, Navdeep S. Chandel J Clin Invest. 2014;124(1):117-128. https://doi.org/10.1172/JCI71714. Research Article Oncology Approximately 85% of lung cancers are non–small-cell lung cancers (NSCLCs), which are often diagnosed at an advanced stage and associated with poor prognosis. Currently, there are very few therapies available for NSCLCs due to the recalcitrant nature of this cancer. Mutations that activate the small GTPase KRAS are found in 20% to 30% of NSCLCs. Here, we report that inhibition of superoxide dismutase 1 (SOD1) by the small molecule ATN-224 induced cell death in various NSCLC cells, including those harboring KRAS mutations. ATN-224–dependent SOD1 inhibition increased superoxide, which diminished enzyme activity of the antioxidant glutathione peroxidase, leading to an increase in intracellular hydrogen peroxide (H2O2) levels. We found that ATN-224–induced cell death was mediated through H2O2- dependent activation of P38 MAPK and that P38 activation led to a decrease in the antiapoptotic factor MCL1, which is often upregulated in NSCLC. Treatment with both ATN-224 and ABT-263, an inhibitor of the apoptosis regulators BCL2/BCLXL, augmented cell death. Furthermore, we demonstrate that ATN-224 reduced tumor burden in a mouse model of NSCLC. Our results indicate that antioxidant inhibition by ATN-224 has potential clinical applications as a single agent, or in combination with other drugs, for the treatment of patients with various forms of NSCLC, including KRAS- driven cancers. Find the latest version: https://jci.me/71714/pdf Research article Targeting SOD1 reduces experimental non–small-cell lung cancer Andrea Glasauer,1 Laura A. -
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. -
Mouse Tmx4 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Tmx4 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Tmx4 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Tmx4 gene (NCBI Reference Sequence: NM_029148 ; Ensembl: ENSMUSG00000034723 ) is located on Mouse chromosome 2. 8 exons are identified, with the ATG start codon in exon 1 and the TAG stop codon in exon 8 (Transcript: ENSMUST00000038228). Exon 2 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Tmx4 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-20P22 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 2 starts from about 16.42% of the coding region. The knockout of Exon 2 will result in frameshift of the gene. The size of intron 1 for 5'-loxP site insertion: 4004 bp, and the size of intron 2 for 3'-loxP site insertion: 18288 bp. The size of effective cKO region: ~834 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 2 8 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Tmx4 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Core Circadian Clock Transcription Factor BMAL1 Regulates Mammary Epithelial Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.23.432439; this version posted February 23, 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 4.0 International license. 1 Title: Core circadian clock transcription factor BMAL1 regulates mammary epithelial cell 2 growth, differentiation, and milk component synthesis. 3 Authors: Theresa Casey1ǂ, Aridany Suarez-Trujillo1, Shelby Cummings1, Katelyn Huff1, 4 Jennifer Crodian1, Ketaki Bhide2, Clare Aduwari1, Kelsey Teeple1, Avi Shamay3, Sameer J. 5 Mabjeesh4, Phillip San Miguel5, Jyothi Thimmapuram2, and Karen Plaut1 6 Affiliations: 1. Department of Animal Science, Purdue University, West Lafayette, IN, USA; 2. 7 Bioinformatics Core, Purdue University; 3. Animal Science Institute, Agriculture Research 8 Origination, The Volcani Center, Rishon Letsiyon, Israel. 4. Department of Animal Sciences, 9 The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of 10 Jerusalem, Rehovot, Israel. 5. Genomics Core, Purdue University 11 Grant support: Binational Agricultural Research Development (BARD) Research Project US- 12 4715-14; Photoperiod effects on milk production in goats: Are they mediated by the molecular 13 clock in the mammary gland? 14 ǂAddress for correspondence. 15 Theresa M. Casey 16 BCHM Room 326 17 175 South University St. 18 West Lafayette, IN 47907 19 Email: [email protected] 20 Phone: 802-373-1319 21 22 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.23.432439; this version posted February 23, 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. -
Oligomeric Characterization of a Putative Biomarker of Oxidative Stress in the Blood Storage Scenario
Università degli Studi della Tuscia di Viterbo Dipartimento di Scienze Ecologiche e Biologiche Dottorato di ricerca in Genetica e Biologia Cellulare – XXIV° CICLO Peroxiredoxin-2: Oligomeric characterization of a putative biomarker of oxidative stress in the blood storage scenario BIO 11 Coordinator Prof. Giorgio Prantera PhD student Barbara Blasi Tutor Prof. Lello Zolla -"Ora ajutami ad uscirne, - disse alla fine Zi' Dima. Ma quanto larga di pancia, tanto quella giara era stretta di collo. Zi' Dima, nella rabbia, non ci aveva fatto caso. Ora, prova e riprova, non trovava più il modo di uscirne. E il contadino, invece di dargli ajuto, eccolo là, si torceva dalle risa. Imprigionato, imprigionato lì, nella giara da lui stesso sanata e che ora - non c'era via di mezzo - per farlo uscire, doveva essere rotta daccapo e per sempre. "La giara". Luigi Pirandello, 1916. Index Chapter 1. Introduction 1.1 Blood 2 1.2 Erythrocytes 3 1.2.1 Erythrocytes membrane 3 1.2.2 Haemoglobin 6 1.2.3 Erythrocytes metabolism 7 1.3 Erythrocytes storage 9 1.3.1 Historic evolution 9 1.3.2 Blood fractionation 10 1.4 Erythrocytes storage lesions 11 1.4.1 Metabolic storage lesions 11 1.4.2 Enzymatic storage lesions 13 1.4.3 Physical storage lesions 13 1.4.4 Oxidative storage lesions 14 1.5 Antioxydative enzymatic defence 17 1.6 Peroxiredoxins 19 1.6.1 Mechanisms of regulation of Peroxiredoxins 19 1.6.2 Oligomerization of Peroxiredoxins 22 1.7 Aim of the thesis 24 Chapter 2. Materials and methods 2.1 Sampling 27 2.2 Deoxygenating treatment 27 2.3 RBC membrane preparation and trapping of PrxII in its native state 27 2.4 Gel electrophoresis 28 2.4.1 1D-SDS PAGE 28 2.4.2 Clear Native PAGE of cytosolic proteins 29 2.4.3 Blue Native PAGE of membrane proteins 29 2.4.4 2D CN/BN –SDS PAGE 29 2.5 Immunoblotting 30 2.6 RBC membrane lipoperoxidation 30 2.7 In gel PrxII activity assay 30 2.8 In gel digestion 31 2.9 Protein identification by tandem mass spectrometry 31 2.10 Statistical analysis 32 Chapter 3.