Mitochondrial Nucleoid Interacting Proteins Support Mitochondrial Protein Synthesis J
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Allele-Specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish
Allele-specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish by Ailu Chen A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 1, 2015 Keywords: catfish, interspecific hybrids, allele-specific expression, ribosomal protein Copyright 2015 by Ailu Chen Approved by Zhanjiang Liu, Chair, Professor, School of Fisheries, Aquaculture and Aquatic Sciences Nannan Liu, Professor, Entomology and Plant Pathology Eric Peatman, Associate Professor, School of Fisheries, Aquaculture and Aquatic Sciences Aaron M. Rashotte, Associate Professor, Biological Sciences Abstract Interspecific hybridization results in a vast reservoir of allelic variations, which may potentially contribute to phenotypical enhancement in the hybrids. Whether the allelic variations are related to the downstream phenotypic differences of interspecific hybrid is still an open question. The recently developed genome-wide allele-specific approaches that harness high- throughput sequencing technology allow direct quantification of allelic variations and gene expression patterns. In this work, I investigated allele-specific expression (ASE) pattern using RNA-Seq datasets generated from interspecific catfish hybrids. The objective of the study is to determine the ASE genes and pathways in which they are involved. Specifically, my study investigated ASE-SNPs, ASE-genes, parent-of-origins of ASE allele and how ASE would possibly contribute to heterosis. My data showed that ASE was operating in the interspecific catfish system. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5,420 (8.2%) and 13,390 (7.5%) SNPs were identified as significant ASE-SNPs, respectively. -
Role of Mitochondrial Ribosomal Protein S18-2 in Cancerogenesis and in Regulation of Stemness and Differentiation
From THE DEPARTMENT OF MICROBIOLOGY TUMOR AND CELL BIOLOGY (MTC) Karolinska Institutet, Stockholm, Sweden ROLE OF MITOCHONDRIAL RIBOSOMAL PROTEIN S18-2 IN CANCEROGENESIS AND IN REGULATION OF STEMNESS AND DIFFERENTIATION Muhammad Mushtaq Stockholm 2017 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by E-Print AB 2017 © Muhammad Mushtaq, 2017 ISBN 978-91-7676-697-2 Role of Mitochondrial Ribosomal Protein S18-2 in Cancerogenesis and in Regulation of Stemness and Differentiation THESIS FOR DOCTORAL DEGREE (Ph.D.) By Muhammad Mushtaq Principal Supervisor: Faculty Opponent: Associate Professor Elena Kashuba Professor Pramod Kumar Srivastava Karolinska Institutet University of Connecticut Department of Microbiology Tumor and Cell Center for Immunotherapy of Cancer and Biology (MTC) Infectious Diseases Co-supervisor(s): Examination Board: Professor Sonia Lain Professor Ola Söderberg Karolinska Institutet Uppsala University Department of Microbiology Tumor and Cell Department of Immunology, Genetics and Biology (MTC) Pathology (IGP) Professor George Klein Professor Boris Zhivotovsky Karolinska Institutet Karolinska Institutet Department of Microbiology Tumor and Cell Institute of Environmental Medicine (IMM) Biology (MTC) Professor Lars-Gunnar Larsson Karolinska Institutet Department of Microbiology Tumor and Cell Biology (MTC) Dedicated to my parents ABSTRACT Mitochondria carry their own ribosomes (mitoribosomes) for the translation of mRNA encoded by mitochondrial DNA. The architecture of mitoribosomes is mainly composed of mitochondrial ribosomal proteins (MRPs), which are encoded by nuclear genomic DNA. Emerging experimental evidences reveal that several MRPs are multifunctional and they exhibit important extra-mitochondrial functions, such as involvement in apoptosis, protein biosynthesis and signal transduction. Dysregulations of the MRPs are associated with severe pathological conditions, including cancer. -
Effects of Salvia Miltiorrhiza Extract on Lung Adenocarcinoma
EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 794, 2021 Effects of Salvia miltiorrhiza extract on lung adenocarcinoma HUIXIANG TIAN1,2, YUEQIN LI3, JIE MEI2, LEI CAO1,2, JIYE YIN2, ZHAOQIAN LIU2, JUAN CHEN1 and XIANGPING LI1,2 Departments of 1Pharmacy, 2Clinical Pharmacology and 3Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China Received June 17, 2020; Accepted April 1, 2021 DOI: 10.3892/etm.2021.10226 Abstract. Lung adenocarcinoma is the most common subtype models injected with the A549 cell line. The data revealed that of non‑small cell lung carcinoma. Tanshinone I is an impor‑ salvianolate not only suppressed lung adenocarcinoma tumor tant fat‑soluble component in the extract of Salvia miltiorrhiza growth of in nude mice, but also downregulated the expression that has been reported to inhibit lung adenocarcinoma cell levels of ATP7A and ATP7B, which are important proteins in proliferation. However, no studies have clearly demonstrated the tumorigenesis and chemotherapy of lung adenocarcinoma. changes in lung adenocarcinoma gene expression and signaling The present study provided evidence for the potential use of pathway enrichment following Tanshinone I treatment. And Salvia miltiorrhiza extract for treating lung adenocarcinomas it remains unclear whether salvianolate has an effect on lung in the clinic. adenocarcinoma. The present study downloaded the GSE9315 dataset from the Gene Expression Omnibus database to iden‑ Introduction tify differentially expressed genes (DEGs) and the underlying signaling pathways involved after Tanshinone I administra‑ Lung cancer is a type of malignant tumor that continues to tion in the lung adenocarcinoma cell line CL1‑5. The results be the leading cause of cancer‑associated mortality world‑ revealed that there were 28 and 102 DEGs in the low dosage wide (1). -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21. -
A Combined Algorithm for Genome- Wide Prediction of Protein Function
letters to nature cluster for the synthesis of a class of cell wall lipids unique to pathogenic mycobacteria. J. Biol. Chem. tionally related yeast proteins. Links between characterized and 272, 16741±16745 (1997). uncharacterized proteins allow a general function to be assigned 9. Mathur, M. & Kolattukudy, P. E. Molecular cloning and sequencing of the gene for mycocerosic acid synthase, a novel fatty acid elongating multifunctional enzyme, from Mycobacterium tuberculosis var. to more than half of the 2,557 previously uncharacterized yeast bovis Bacillus Calmette-Guerin. J. Biol. Chem. 267, 19388±19395 (1992). proteins. Examples of functional links are given for a protein 10. Azad, A. K., Sirakova, T. D., Rogers, L. M. & Kolattukudy, P. E. Targeted replacement of the family of previously unknown function, a protein whose human mycocerosic acid synthase gene in Mycobacterium bovis BCG produces a mutant that lacks mycosides. homologues are implicated in colon cancer and the yeast prion Proc. Natl Acad. Sci. USA 93, 4787±4792 (1996). 11. Cole, S. T. et al. Deciphering the biology of Mycobactrium tuberculosis from the complete genome Sup35. sequence [see comments]. Nature 393, 537±544 (1998). The historical method of ®nding the function of a protein 12. Fitzmaurice, A. M. & Kolattukudy, P. E. An acyl-CoA synthase (acoas) gene adjacent to the involves extensive genetic and biochemical analyses, unless the mycocerosic acid synthase (mas) locus is necessary for mycocerosyl lipid synthesis in Mycobacterium tuberculosis var. bovis. BCG. J. Biol. Chem. 273, 8033±8039 (1998). amino-acid sequence of the protein resembles another whose 13. Fitzmaurice, A. M. & Kolattukudy, P. E. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Mtorc1 Controls Mitochondrial Activity and Biogenesis Through 4E-BP-Dependent Translational Regulation
Cell Metabolism Article mTORC1 Controls Mitochondrial Activity and Biogenesis through 4E-BP-Dependent Translational Regulation Masahiro Morita,1,2 Simon-Pierre Gravel,1,2 Vale´ rie Che´ nard,1,2 Kristina Sikstro¨ m,3 Liang Zheng,4 Tommy Alain,1,2 Valentina Gandin,5,7 Daina Avizonis,2 Meztli Arguello,1,2 Chadi Zakaria,1,2 Shannon McLaughlan,5,7 Yann Nouet,1,2 Arnim Pause,1,2 Michael Pollak,5,6,7 Eyal Gottlieb,4 Ola Larsson,3 Julie St-Pierre,1,2,* Ivan Topisirovic,5,7,* and Nahum Sonenberg1,2,* 1Department of Biochemistry 2Goodman Cancer Research Centre McGill University, Montreal, QC H3A 1A3, Canada 3Department of Oncology-Pathology, Karolinska Institutet, Stockholm, 171 76, Sweden 4Cancer Research UK, The Beatson Institute for Cancer Research, Switchback Road, Glasgow G61 1BD, Scotland, UK 5Lady Davis Institute for Medical Research 6Cancer Prevention Center, Sir Mortimer B. Davis-Jewish General Hospital McGill University, Montreal, QC H3T 1E2, Canada 7Department of Oncology, McGill University, Montreal, QC H2W 1S6, Canada *Correspondence: [email protected] (J.S.-P.), [email protected] (I.T.), [email protected] (N.S.) http://dx.doi.org/10.1016/j.cmet.2013.10.001 SUMMARY ATP under physiological conditions in mammals and play a crit- ical role in overall energy balance (Vander Heiden et al., 2009). mRNA translation is thought to be the most energy- The mechanistic/mammalian target of rapamycin (mTOR) is a consuming process in the cell. Translation and serine/threonine kinase that has been implicated in a variety of energy metabolism are dysregulated in a variety of physiological processes and pathological states (Zoncu et al., diseases including cancer, diabetes, and heart 2011). -
MRPS26 Rabbit Pab
Leader in Biomolecular Solutions for Life Science MRPS26 Rabbit pAb Catalog No.: A4940 Basic Information Background Catalog No. Mammalian mitochondrial ribosomal proteins are encoded by nuclear genes and help in A4940 protein synthesis within the mitochondrion. Mitochondrial ribosomes (mitoribosomes) consist of a small 28S subunit and a large 39S subunit. They have an estimated 75% Observed MW protein to rRNA composition compared to prokaryotic ribosomes, where this ratio is 24kDa reversed. Another difference between mammalian mitoribosomes and prokaryotic ribosomes is that the latter contain a 5S rRNA. Among different species, the proteins Calculated MW comprising the mitoribosome differ greatly in sequence, and sometimes in biochemical 24kDa properties, which prevents easy recognition by sequence homology. This gene encodes a 28S subunit protein. This gene lies adjacent to and downstream of the gonadotropin- Category releasing hormone precursor gene. Primary antibody Applications WB, IHC Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 64949 Q9BYN8 IHC 1:100 - 1:200 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 1-205 of human MRPS26 (NP_110438.1). Synonyms MRPS26;C20orf193;GI008;MRP-S13;MRP-S26;MRPS13;NY-BR-87;RPMS13;dJ534B8.3 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using MRPS26 antibody (A4940) at 1:3000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. -
Mutant MRPS5 Affects Mitoribosomal Accuracy and Confers Stress&
Article Type: Article Mutant MRPS5 affects mitoribosomal accuracy and confers stress-related behavioral alterations Rashid Akbergenov1,º, Stefan Duscha1,º, Ann-Kristina Fritz2,º, Reda Juskeviciene1,º, Naoki Oishi3,8, Karen Schmitt4, Dimitri Shcherbakov1, Youjin Teo1, Heithem Boukari1, Pietro Freihofer1, Patricia Isnard-Petit5, Björn Oettinghaus6, Stephan Frank6, Kader Thiam5, Hubert Rehrauer7, Eric Westhof9, Jochen Schacht3, Anne Eckert4, David Wolfer2, Erik C. Böttger1,* 1 Institut für Medizinische Mikrobiologie, Universität Zürich, CH-8006 Zürich, Switzerland 2 Anatomisches Institut, Universität Zürich, and Institut für Bewegungswissenschaften und Sport, ETH Zürich, CH-8057 Zürich, Switzerland 3 Kresge Hearing Research Institute, Department of Otolaryngology, University of Michigan, Ann Arbor, MI 48109-5616, USA 4 Universitäre Psychiatrische Kliniken Basel, Transfaculty Research Platform Molecular and Cognitive Neurosciences, CH-4055 Basel, Switzerland 5 genOway, 69362 Lyon Cedex 07, France 6 Universitätsspital Basel, Neuro- und Ophthalmopathologie, CH-4031 Basel, Switzerland 7 Functional Genomics Center Zurich, ETH Zürich und Universität Zürich, CH-8057 Zürich, Switzerland 8 present address: Department of Otolaryngology – Head and Neck Surgery, Keio University School of Medicine, Tokyo 160-8585, Japan 9 Université de Strasbourg, Institut de biologie moléculaire et cellulaire du CNRS, 67084 Strasbourg, France Author Manuscript º These authors contributed equally to this work. This is the author manuscript accepted for publication and -
YEASTRACT - Genes Grouped by TF, Ordered by the Percentage of Genes Regulated by TF, Relative to the Total Number of Genes in the List 08/07/14 16:17
YEASTRACT - Genes grouped by TF, ordered by the percentage of genes regulated by TF, relative to the total number of genes in the list 08/07/14 16:17 Home > Group Genes by TF > Result Contact Us - Tutorial - Tutorial Genes grouped by TF, ordered by the percentage of genes regulated by TF, relative to the total number of genes in the list Quick search... Search Documented regulations suported by direct or indirect or undefined evidence. Unknown gene/ORF name(s), 'YFL013W-A'. DISCOVERER Transcription Transcriptional Regulatory % ORF/Genes Regulatory Associations: Factor Network - Search for TFs NTG1 YAL045c HAP3 - Search for Genes ATP1 YBL107c ALG1 - Search for Associations YSA1 CNS1 PDB1 TSC10 RER1 YCL049c PRD1 Group genes: AHC2 GET3 BPL1 - Group by TF YDL144c GCV1 PST2 - Group by GO PST1 SED1 YDR262w YDR266c MSW1 FRQ1 Pattern Matching: TSA2 STP1 PHO8 RAD23 - Search by DNA Motif YEL047c CAN1 YEL074w - Find TF Binding Site(s) PMI40 FMP52 CEM1 - Search Motifs on Motifs SER3 SHC1 YER130c Utilities: PDA1 YER189w AGP3 - ORF List ⇔ Gene List DUG1 CDH1 OCH1 - IUPAC Code Generation YGL114w MRM2 CHO2 - Generate Regulation Matrix PMT6 TRX2 YSC84 CHS7 Yap1p 24.9 % YSP1 FAA3 LYS1 GTT1 Retrieve: YJL045w GZF3 LCB3 - Transcription Factors List HXT9 VPS55 HOM6 BAT2 - Upstream Sequence THI11 RSM22 UBA1 - Flat files RHO4 PAM17 YKR070w YKR077w GTT2 YLL067c About Yeastract: ALT1 HOG1 MAS1 - Contact Us ECM38 ILV5 MRPL4 - Cite YEASTRACT TSA1 PRE8 TAF13 VAN1 - Acknowledgments YTA12 NUP53 SPG5 - Credits MRPL24 NIS1 APP1 CPT1 FMP41 MRPL19 YNL208w CWC25 LYP1 TOF1 -
LONP1 Is Required for Maturation of a Subset of Mitochondrial Proteins and Its Loss Elicits
bioRxiv preprint doi: https://doi.org/10.1101/306316; this version posted April 23, 2018. 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. LONP1 is required for maturation of a subset of mitochondrial proteins and its loss elicits an integrated stress response Olga Zurita Rendón and Eric A. Shoubridge. Montreal Neurological Institute and Department of Human Genetics, McGill University, Montreal, QC, Canada. Eric A. Shoubridge, Montreal Neurological Institute, 3801 University Street, Montreal, Quebec, Canada H3A 2B4 Email: [email protected] Tel: 514-398-1997 FAX: 514-398-1509 bioRxiv preprint doi: https://doi.org/10.1101/306316; this version posted April 23, 2018. 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. Abstract LONP1, a AAA+ mitochondrial protease, is implicated in protein quality control, but its substrates and precise role in this process remain poorly understood. Here we have investigated the role of human LONP1 in mitochondrial gene expression and proteostasis. Depletion of LONP1 resulted in partial loss of mtDNA, complete suppression of mitochondrial translation, a marked increase in the levels of a distinct subset of mitochondrial matrix proteins (SSBP1, MTERFD3, FASTKD2 and CLPX), and the accumulation of their unprocessed forms, with intact mitochondrial targeting sequences, in an insoluble protein fraction.