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Characterization of the mitochondrial proteome of human cells (MitoCoP)

ABSTRACT: The overall aim of the project is the definition and characterization of the mitochondrial proteome of human cells, referred to as MitoCoP. To this end, we combined the complementary strengths of subtractive proteomics, ImportOmics and subcellular protein profiling in a global multidimensional classification approach (see dataset PXD016924). In this part of the project, we (1) performed subtractive proteomics experiments of gradient-purified versus crude mitochondrial fractions prepared from multiple cell lines (multi-cell lines pM-vs-cM experiments), (2) studied the organization of mitochondrial proteins in large functional assemblies by Blue Native (BN) complexome profiling, and (3) analyzed the effect of LYRM9 knockout on mitochondrial protein complexes by BN-PAGE (LYRM9KO-vs-control experiment) to complement the characterization of MitoCoP.

INSTRUMENT(S): LTQ Orbitrap Elite, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Friedel Drepper

LAB HEAD: Prof. Dr. Bettina Warscheid

PROVIDER: PXD028149 | Pride | 2021-11-25

REPOSITORIES: Pride

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Definition and characterization of the mitochondrial proteome of human cells (MitoCoP)

Project description:Aim of this project was the definition and characterization of the mitochondrial proteome of human cells, referred to as MitoCoP. To this end, we combined the complementary strengths of subtractive proteomics, ImportOmics and subcellular protein profiling in a global multidimensional classification approach. This multifaceted human mitochondria-centered analysis was expanded to a functional characterization of the mitochondrial proteome. The association of proteins with mitochondrial membranes was assessed by quantitative proteomic and single-protein studies. Protein copy numbers per mitochondrial unit were determined followed by a thorough compilation and functional classification of a high-quality human mitochondrial proteome. We further examined the organization of mitochondrial proteins in large functional assemblies by Blue Native (BN) complexome profiling and characterized functional protein networks of so far not described mitochondrial constituents by quantitative affinity purification mass spectrometry (q-AP-MS) and biochemical analysis. And finally, we systematically studied mitochondrial proteome dynamics and established a comprehensive subunit-resolved turnover map of large membrane protein machineries and central biosynthesis pathways of human mitochondria.

2021-11-25 | PXD016924 | Pride

Characterization of the mitochondrial proteome of human cells (MitoCoP)

Project description:The overall aim of the project is the definition and characterization of the mitochondrial proteome of human cells, referred to as MitoCoP. To this end, we combined the complementary strengths of subtractive proteomics, ImportOmics and subcellular protein profiling in a global multidimensional classification approach (see dataset PXD016924). In this part of the project, we analyzed the dynamics of the mitochondrial proteome in Huh7 cells following a pulsed SILAC approach.

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Definition and characterization of the mitochondrial proteome of human cells (MitoCoP): Relation between MS analysis time, sample fractionation, proteases, replicates and number of proteins identified/quantified

Project description:Aim of the overall project was the definition and characterization of the mitochondrial proteome of human cells, referred to as MitoCoP. To this end, we combined the complementary strengths of subtractive proteomics, ImportOmics and subcellular protein profiling in a global multidimensional classification approach. In this part of the project, we analyzed the correlation between MS analysis time, sample fractionation, use of multiple proteases and replicates on the number of proteins identified and quantified in mitochondrial fractions applying the subtractive proteomics approach.

2021-11-25 | PXD029242 | Pride

Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles

Project description:Parkinson's Disease (PD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 29 PD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of PD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Alzheimer's disease, multiple sclerosis, and breast cancer) confirmed their specificity.

2012-02-27 | E-GEOD-29654 | biostudies-arrayexpress

Diagnosis of Alzheimer's Disease Based on Disease-Specific Autoantibody Profiles

Project description:Alzheimer's Disease (AD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 50 AD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of AD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Parkinson's disease and breast cancer, respectively) confirmed their specificity.

2011-07-12 | E-GEOD-29676 | biostudies-arrayexpress

Human NTERA2 (NT2/D1) cells lines: shZRF1 vs. shRandom during Retinoic Acid (RA) administration

Project description:Transcriptional profiling of human NT2 cell lines comparing control cells (shRandom) with ZRF1 knockdown cells (shZRF1) both either untreated (0 h) or treated with Retinoic Acid (3 h) at 0.01 M-BM-5M. The cell lines were established by retroviral infection allowing for the transcription of either a random shRNA (shRandom) or a shRNA specific for ZRF1 (shZRF1). The goal was to determine the effect of ZRF1 on transcriptional activation at the onset of differentiation. Four-condition experiment, shRandom vs. shZRF1 cells either uninduced (0 h) or RA induced (3 h). Biological replicates: 6 replicates (shRandom) taken on 3 different days without or with RA administration. 6 shZRF1 replicates taken on three different days with or without RA administration.

2010-12-24 | E-GEOD-16858 | biostudies-arrayexpress

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2018-11-07 | PXD006115 | Pride

Draft of the mitochondrial landscape

Project description:The mitochondrial subcompartment proteomes revealed by quantitative MS.

2017-11-15 | PXD005541 | Pride

Definition of a high-confidence mitochondrial proteome at quantitative scale_submitochondrial profiling

Project description:Mitochondria perform central functions in cellular bioenergetics, metabolism and signaling and their malfunction has been linked to numerous diseases. The available studies cover only part of the mitochondrial proteome and a separation of core mitochondrial proteins from associated fractions has not been achieved. We developed an integrative, quantitative MS-based experimental approach to define the high confidence proteome of yeast mitochondria and to identify new mitochondrial proteins. The analysis includes protein abundance under fermentable and non-fermentable growth, submitochondrial localization, single-protein analysis and subcellular classification of mitochondria-associated fractions. We identified novel mitochondrial interactors of respiratory chain supercomplexes, ATP synthase, AAA proteases, the mitochondrial contact site and cristae organizing system (MICOS) and coenzyme Q biosynthesis cluster as well as new mitochondrial proteins with dual cellular localization. The integrative proteome provides a high confidence source for the characterization of physiological and pathophysiological functions of mitochondria and their integration into the cellular environment.

2017-12-06 | PXD007618 | Pride

Sediment Series Upper Danube River (Sediment Extract and Freeze-Dried)

Project description:The zebrafish embryo has repeatedly proved to be a useful model for the analysis of effects by environmental toxicants. This study was performed to investigate if an approach combining mechanism-specific bioassays with microarray techniques can obtain more in-depth insights into the ecotoxicity of complex pollutant mixtures as present, e.g., in freeze-dried whole sediment samples and their corresponding organic extracts in parallel. To this end, altered gene expression was compared to data from established bioassays as well as to results from chemical analysis. Microarray analysis revealed several classes of significantly regulated genes which could to a considerable extent be related to the hazard potential. Results indicate that potential classes of contaminants can be assigned to sediment extracts by both classical biomarker genes and corresponding expression profile analyses of known substances. However, it is difficult to distinguish between specific responses and more universal detoxification of the organism. Additionally, different gene expression was shown to be less influenced by the sampling site than by the method of exposure, which could be attributed to differential bioavailability of contaminants. Microarray analyses were performed with early life stages of zebrafish exposed to sediment extracts or freeze-dried sediment from three sampling sites (Ehingen, Lauchert, Sigmaringen) along the Upper part of the Danube River, Germany. The expression profiles were compared within the sampling sites, between the exposure scheme and to the expression pattern of model toxicants, such as 4-chloroaniline, Cadmium, DDT, TCDD, and Valproic acid (Gene Expression Omnibus Series GSE9357). Additionally, mechanism-specific bioassays and chemical analysis of the sediments have been combined and compared to the present gene expression data.

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