Global Proteome of Lonp1+/- Mouse Embryonal
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Proteomic Analysis of the Role of the Quality Control Protease LONP1 in Mitochondrial Protein Aggregation
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.12.439502; this version posted April 16, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-NC-ND 4.0 International license. Proteomic analysis of the role of the quality control protease LONP1 in mitochondrial protein aggregation Karen Pollecker1, Marc Sylvester2 and Wolfgang Voos1,* 1Institute of Biochemistry and Molecular Biology (IBMB), University of Bonn, Faculty of Medicine, Nussallee 11, 53115 Bonn, Germany 2Core facility for mass spectrometry, Institute of Biochemistry and Molecular Biology (IBMB), University of Bonn, Faculty of Medicine, Nussallee 11, 53115 Bonn, Germany *Corresponding author Email: [email protected] Phone: +49-228-732426 Abbreviations: AAA+, ATPases associated with a wide variety of cellular activities; Δψ, mitochondrial membrane potential; gKD, genetic knockdown; HSP, heat shock protein; m, mature form; mt, mitochondrial; p, precursor form; PQC, protein quality control; qMS, quantitative mass spectrometry; ROS, reactive oxygen species; SILAC, stable isotope labeling with amino acids in cell culture; siRNA, small interfering RNA; TIM, preprotein translocase complex of the inner membrane; TMRE, tetramethylrhodamine; TOM, preprotein translocase complex of the outer membrane; UPRmt, mitochondrial unfolded protein response; WT, wild type. bioRxiv preprint doi: https://doi.org/10.1101/2021.04.12.439502; this version posted April 16, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach
Mafalda Rita Avó Bacalhau Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach Tese de doutoramento do Programa de Doutoramento em Ciências da Saúde, ramo de Ciências Biomédicas, orientada pela Professora Doutora Maria Manuela Monteiro Grazina e co-orientada pelo Professor Doutor Henrique Manuel Paixão dos Santos Girão e pela Professora Doutora Lee-Jun C. Wong e apresentada à Faculdade de Medicina da Universidade de Coimbra Julho 2017 Faculty of Medicine Establishing the pathogenicity of novel mitochondrial DNA sequence variations: a cell and molecular biology approach Mafalda Rita Avó Bacalhau Tese de doutoramento do programa em Ciências da Saúde, ramo de Ciências Biomédicas, realizada sob a orientação científica da Professora Doutora Maria Manuela Monteiro Grazina; e co-orientação do Professor Doutor Henrique Manuel Paixão dos Santos Girão e da Professora Doutora Lee-Jun C. Wong, apresentada à Faculdade de Medicina da Universidade de Coimbra. Julho, 2017 Copyright© Mafalda Bacalhau e Manuela Grazina, 2017 Esta cópia da tese é fornecida na condição de que quem a consulta reconhece que os direitos de autor são pertença do autor da tese e do orientador científico e que nenhuma citação ou informação obtida a partir dela pode ser publicada sem a referência apropriada e autorização. This copy of the thesis has been supplied on the condition that anyone who consults it recognizes that its copyright belongs to its author and scientific supervisor and that no quotation from the -
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. -
About the Existence of Common Determinants of Gene Expression In
González-Prendes et al. BMC Genomics (2019) 20:518 https://doi.org/10.1186/s12864-019-5889-5 RESEARCH ARTICLE Open Access About the existence of common determinants of gene expression in the porcine liver and skeletal muscle Rayner González-Prendes1,6†, Emilio Mármol-Sánchez1†, Raquel Quintanilla2, Anna Castelló1,3, Ali Zidi1, Yuliaxis Ramayo-Caldas1, Tainã Figueiredo Cardoso1,4, Arianna Manunza1,ÁngelaCánovas1,5 and Marcel Amills 1,3* Abstract Background: The comparison of expression QTL (eQTL) maps obtained in different tissues is an essential step to understand how gene expression is genetically regulated in a context-dependent manner. In the current work, we have compared the transcriptomic and eQTL profiles of two porcine tissues (skeletal muscle and liver) which typically show highly divergent expression profiles, in 103 Duroc pigs genotyped with the Porcine SNP60 BeadChip (Illumina) and with available microarray-based measurements of hepatic and muscle mRNA levels. Since structural variation could have effects on gene expression, we have also investigated the co-localization of cis-eQTLs with copy number variant regions (CNVR) segregating in this Duroc population. Results: The analysis of differential expresssion revealed the existence of 1204 and 1490 probes that were overexpressed and underexpressed in the gluteus medius muscle when compared to liver, respectively (|fold- change| > 1.5, q-value < 0.05). By performing genome scans in 103 Duroc pigs with available expression and genotypic data, we identified 76 and 28 genome-wide significant cis-eQTLs regulating gene expression in the gluteus medius muscle and liver, respectively. Twelve of these cis-eQTLs were shared by both tissues (i.e. -
Mouse Mtarc2 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Mtarc2 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Mtarc2 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Mtarc2 gene (NCBI Reference Sequence: NM_133684.3 ; Ensembl: ENSMUSG00000073481 ) is located on Mouse chromosome 1. 8 exons are identified, with the ATG start codon in exon 1 and the TAG stop codon in exon 7 (Transcript: ENSMUST00000068725). Exon 3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Mtarc2 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-221J17 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 3 starts from about 44.08% of the coding region. The knockout of Exon 3 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 7225 bp, and the size of intron 3 for 3'-loxP site insertion: 1143 bp. The size of effective cKO region: ~669 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 3 4 8 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Mtarc2 Homology arm cKO region loxP site Page 2 of 8 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. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
Potential Hippocampal Genes and Pathways Involved in Alzheimer's Disease: a Bioinformatic Analysis
Potential hippocampal genes and pathways involved in Alzheimer’s disease: a bioinformatic analysis L. Zhang*, X.Q. Guo*, J.F. Chu, X. Zhang, Z.R. Yan and Y.Z. Li Department of Neurology, Shandong Ji’ning No. 1 People’ Hospital, Ji’ning, China *These authors contributed equally to this study. Corresponding author: Y.Z. Li E-mail: [email protected] Genet. Mol. Res. 14 (2): 7218-7232 (2015) Received September 30, 2014 Accepted January 23, 2015 Published June 29, 2015 DOI http://dx.doi.org/10.4238/2015.June.29.15 ABSTRACT. Alzheimer’s disease (AD) is a neurodegenerative disor- der and the most common cause of dementia in elderly people. Nu- merous studies have focused on the dysregulated genes in AD, but the pathogenesis is still unknown. In this study, we explored critical hippocampal genes and pathways that might potentially be involved in the pathogenesis of AD. Four transcriptome datasets for the hip- pocampus of patients with AD were downloaded from ArrayExpress, and the gene signature was identified by integrated analysis of mul- tiple transcriptomes using novel genome-wide relative significance and genome-wide global significance models. A protein-protein interaction network was constructed, and five clusters were selected. The biologi- cal functions and pathways were identified by Gene Ontology and Kyo- to Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. A total of 6994 genes were screened, and the top 300 genes were subjected to further analysis. Four significant KEGG pathways were identified, including oxidative phosphorylation and Parkinson’s Genetics and Molecular Research 14 (2): 7218-7232 (2015) ©FUNPEC-RP www.funpecrp.com.br Hippocampal genes and pathways in Alzheimer’s disease 7219 disease, Huntington’s disease, and Alzheimer’s disease pathways. -
Mitochondrial Lon Protease in Human Disease and Aging: Including an Etiologic Classification of Lon-Related Diseases and Disorders
UC Irvine UC Irvine Previously Published Works Title Mitochondrial Lon protease in human disease and aging: Including an etiologic classification of Lon-related diseases and disorders. Permalink https://escholarship.org/uc/item/2pw606qk Authors Bota, Daniela A Davies, Kelvin JA Publication Date 2016-11-01 DOI 10.1016/j.freeradbiomed.2016.06.031 Peer reviewed eScholarship.org Powered by the California Digital Library University of California HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Free Radic Manuscript Author Biol Med. Author Manuscript Author manuscript; available in PMC 2016 December 24. Published in final edited form as: Free Radic Biol Med. 2016 November ; 100: 188–198. doi:10.1016/j.freeradbiomed.2016.06.031. Mitochondrial Lon protease in human disease and aging: Including an etiologic classification of Lon-related diseases and disorders Daniela A. Botaa,* and Kelvin J.A. Daviesb,c a Department of Neurology and Chao Family Comprehensive Cancer Center, UC Irvine School of Medicine, 200 S. Manchester Ave., Suite 206, Orange, CA 92868, USA b Leonard Davis School of Gerontology of the Ethel Percy Andrus Gerontology Center, Los Angeles, CA 90089-0191, USA c Division of Molecular & Computational Biology, Department of Biological Sciences, Dornsife College of Letters, Arts, & Sciences, The University of Southern California, Los Angeles, CA 90089-0191, USA Abstract The Mitochondrial Lon protease, also called LonP1 is a product of the nuclear gene LONP1. Lon is a major regulator of mitochondrial metabolism and response to free radical damage, as well as an essential factor for the maintenance and repair of mitochondrial DNA. Lon is an ATP- stimulated protease that cycles between being bound (at the inner surface of the inner mitochondrial membrane) to the mitochondrial genome, and being released into the mitochondrial matrix where it can degrade matrix proteins. -
Protein-Protein Interactions of Human Mitochondrial Amidoxime-Reducing Component in Mammalian Cells John Thomas
Duquesne University Duquesne Scholarship Collection Electronic Theses and Dissertations Fall 1-1-2016 Protein-Protein Interactions of Human Mitochondrial Amidoxime-Reducing Component in Mammalian Cells John Thomas Follow this and additional works at: https://dsc.duq.edu/etd Recommended Citation Thomas, J. (2016). Protein-Protein Interactions of Human Mitochondrial Amidoxime-Reducing Component in Mammalian Cells (Doctoral dissertation, Duquesne University). Retrieved from https://dsc.duq.edu/etd/61 This Immediate Access is brought to you for free and open access by Duquesne Scholarship Collection. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Duquesne Scholarship Collection. For more information, please contact [email protected]. PROTEIN-PROTEIN INTERACTIONS OF HUMAN MITOCHONDRIAL AMIDOXIME- REDUCING COMPONENT IN MAMMALIAN CELLS A Dissertation Submitted to the Bayer School of Natural and Environmental Sciences Duquesne University In partial fulfillment of the requirements for the degree of Doctor of Philosophy By John A. Thomas December 2016 Copyright by John A. Thomas October 2016 PROTEIN-PROTEIN INTERACTIONS OF HUMAN MITOCHONDRIAL AMIDOXIME-REDUCING COMPONENT IN MAMMALIAN CELLS By John A. Thomas Approved October 24, 2016 ____________________________________ ____________________________________ Partha Basu, PhD Michael Cascio, PhD Professor of Chemistry and Biochemistry Associate Professor of Chemistry and (Committee Chair) Biochemistry (Committee Member) ____________________________________ -
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. -
Protection of Scaffold Protein Isu from Degradation by the Lon Protease Pim1 As a Component of Fe–S Cluster Biogenesis Regulation
M BoC | ARTICLE Protection of scaffold protein Isu from degradation by the Lon protease Pim1 as a component of Fe–S cluster biogenesis regulation Szymon J. Ciesielskia, Brenda Schilkea, Jaroslaw Marszaleka,b, and Elizabeth A. Craiga,* aDepartment of Biochemistry, University of Wisconsin–Madison, Madison, WI 53706; bIntercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Gdansk 80307, Poland ABSTRACT Iron–sulfur (Fe–S) clusters, essential protein cofactors, are assembled on the mi- Monitoring Editor tochondrial scaffold protein Isu and then transferred to recipient proteins via a multistep Thomas D. Fox process in which Isu interacts sequentially with multiple protein factors. This pathway is in Cornell University part regulated posttranslationally by modulation of the degradation of Isu, whose abundance Received: Dec 4, 2015 increases >10-fold upon perturbation of the biogenesis process. We tested a model in which Revised: Jan 22, 2016 direct interaction with protein partners protects Isu from degradation by the mitochondrial Accepted: Jan 25, 2016 Lon-type protease. Using purified components, we demonstrated that Isu is indeed a sub- strate of the Lon-type protease and that it is protected from degradation by Nfs1, the sulfur donor for Fe–S cluster assembly, as well as by Jac1, the J-protein Hsp70 cochaperone that functions in cluster transfer from Isu. Nfs1 and Jac1 variants known to be defective in interac- tion with Isu were also defective in protecting Isu from degradation. Furthermore, overpro- duction of Jac1 protected Isu from degradation in vivo, as did Nfs1. Taken together, our re- sults lead to a model of dynamic interplay between a protease and protein factors throughout the Fe–S cluster assembly and transfer process, leading to up-regulation of Isu levels under conditions when Fe–S cluster biogenesis does not meet cellular demands.