Search

Your search keyword '"Claire Ramus"' showing total 10 results
Start Over Author "Claire Ramus" Topic biochemistry
10 results on '"Claire Ramus"'

1. Comprehensive and comparative exploration of the Atp7b(-/-) mouse plasma proteome

Author

Lucid Belmudes, Alain Lachaux, Michel Jaquinod, Maud Lacombe, Yohann Couté, Virginie Brun, Florence Combes, Vincent Leroy, Elisabeth Mintz, Justine Barthelon, Claire Ramus, Aurélia Poujois, Thomas Burger, Etude de la dynamique des protéomes (EDyP ), Laboratoire de Biologie à Grande Échelle (BGE - UMR S1038), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Biologie des Métaux (BioMet), Laboratoire de Chimie et Biologie des Métaux (LCBM - UMR 5249), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble, National reference Centre for Wilson's Disease [Paris] (CRMR Wilson), Service de neurologie [Univ. Paris VII], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7), National Reference Centre for Wilson's Disease, Hôpital Femme Mère Enfant, ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019), Biologie des Métaux (BioMet ), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Institut de recherche en astrophysique et planétologie (IRAP), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS), Institut de biologie et chimie des protéines [Lyon] (IBCP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Centre de génétique et de physiologie moléculaire et cellulaire (CGPhiMC), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Matière et Systèmes Complexes (MSC (UMR_7057)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Service de radiologie et imagerie médicale [Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-CHU Pontchaillou [Rennes], CarMeN, laboratoire, MIAI @ Grenoble Alpes - - MIAI2019 - ANR-19-P3IA-0003 - P3IA - VALID, Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon

Subjects
0301 basic medicine, [SDV]Life Sciences [q-bio], Biophysics, Proteomics, Biochemistry, Biomaterials, 03 medical and health sciences, 0302 clinical medicine, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Gene, biology, Metals and Alloys, Phenotype, Blood proteins, 3. Good health, Cell biology, [SDV] Life Sciences [q-bio], 030104 developmental biology, Chemistry (miscellaneous), 030220 oncology & carcinogenesis, Proteome, biology.protein, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Liver function, Ceruloplasmin, Function (biology)
Abstract

Wilson's disease (WD), a rare genetic disease caused by mutations in the ATP7B gene, is associated with altered expression and/or function of the copper-transporting ATP7B protein, leading to massive toxic accumulation of copper in the liver and brain. The Atp7b−/− mouse, a genetic and phenotypic model of WD, was developed to provide new insights into the pathogenic mechanisms of WD. Many plasma proteins are secreted by the liver, and impairment of liver function can trigger changes to the plasma proteome. High standard proteomics workflows can identify such changes. Here, we explored the plasma proteome of the Atp7b−/− mouse using a mass spectrometry (MS)-based proteomics workflow combining unbiased discovery analysis followed by targeted quantification. Among the 367 unique plasma proteins identified, 7 proteins were confirmed as differentially abundant between Atp7b−/− mice and wild-type littermates, and were directly linked to WD pathophysiology (regeneration of liver parenchyma, plasma iron depletion, etc.). We then adapted our targeted proteomics assay to quantify human orthologues of these proteins in plasma from copper-chelator-treated WD patients. The plasma proteome changes observed in the Atp7b−/− mouse were not confirmed in these samples, except for alpha-1 antichymotrypsin, levels of which were decreased in WD patients compared to healthy individuals. Plasma ceruloplasmin was investigated in both the Atp7b−/− mouse model and human patients; it was significantly decreased in the human form of WD only. In conclusion, MS-based proteomics is a method of choice to identify proteome changes in murine models of disrupted metal homeostasis, and allows their validation in human cohorts.

Published
2019
Full Text
View/download PDF

2. Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments

Author

Yohann Couté, Christophe Bruley, Thomas Burger, Florence Combes, Quentin Giai Gianetto, and Claire Ramus

Subjects
0301 basic medicine, False discovery rate, Computer science, Property (programming), Calibration (statistics), Quantitative proteomics, computer.software_genre, Proteomics, 01 natural sciences, Biochemistry, Pipeline (software), Computer graphics, Identifier, 010104 statistics & probability, 03 medical and health sciences, 030104 developmental biology, Data mining, 0101 mathematics, Molecular Biology, computer
Abstract

In MS-based quantitative proteomics, the FDR control (i.e. the limitation of the number of proteins that are wrongly claimed as differentially abundant between several conditions) is a major postanalysis step. It is classically achieved thanks to a specific statistical procedure that computes the adjusted p-values of the putative differentially abundant proteins. Unfortunately, such adjustment is conservative only if the p-values are well-calibrated; the false discovery control being spuriously underestimated otherwise. However, well-calibration is a property that can be violated in some practical cases. To overcome this limitation, we propose a graphical method to straightforwardly and visually assess the p-value well-calibration, as well as the R codes to embed it in any pipeline. All MS data have been deposited in the ProteomeXchange with identifier PXD002370 (http://proteomecentral.proteomexchange.org/dataset/PXD002370).

Published
2016
Full Text
View/download PDF

3. Benchmarking quantitative label-free LC–MS data processing workflows using a complex spiked proteomic standard dataset

Author

Marlène Marcellin, Sebastian Vaca, Anne-Marie Hesse, Karima Chaoui, Alain Van Dorssaeler, Christophe Bruley, Christine Schaeffer, Myriam Ferro, Emmanuelle Mouton-Barbosa, Agnès Hovasse, Claire Ramus, Jérôme Garin, Christine Carapito, Anne Gonzalez de Peredo, David Bouyssié, Sarah Cianférani, Yohann Couté, Odile Burlet-Schiltz, Etude de la dynamique des protéomes (EDyP ), Laboratoire de Biologie à Grande Échelle (BGE - UMR S1038), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Spectrométrie de Masse BioOrgan [Université de Strasbourg], Université de Strasbourg (UNISTRA), Institut de pharmacologie et de biologie structurale (IPBS), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL), Département Sciences Analytiques et Interactions Ioniques et Biomoléculaires (DSA-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Spectrométrie de Masse BioOrganique [Strasbourg] (LSMBO), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Institut Pluridisciplinaire Hubert Curien (IPHC), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Institut Pluridisciplinaire Hubert Curien (IPHC)

Subjects
0301 basic medicine, False discovery rate, proteomic standard, MS signal analysis, Proteome, Computer science, nanoLC-MS/MS, computational proteomics, Software Validation, Biophysics, computer.software_genre, Sensitivity and Specificity, Biochemistry, Mass Spectrometry, label-free quantification, Workflow, 03 medical and health sciences, Software, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Signal processing, Data processing, Ground truth, spectral counting, Staining and Labeling, business.industry, Reproducibility of Results, Benchmarking, Label-free quantification, 030104 developmental biology, Benchmark (computing), Data mining, business, computer, Chromatography, Liquid
Abstract

Proteomic workflows based on nanoLC-MS/MS data-dependent-acquisition analysis have progressed tremendously in recent years. High-resolution and fast sequencing instruments have enabled the use of label-free quantitative methods, based either on spectral counting or on MS signal analysis, which appear as an attractive way to analyze differential protein expression in complex biological samples. However, the computational processing of the data for label-free quantification still remains a challenge. Here, we used a proteomic standard composed of an equimolar mixture of 48 human proteins (Sigma UPS1) spiked at different concentrations into a background of yeast cell lysate to benchmark several label-free quantitative workflows, involving different software packages developed in recent years. This experimental design allowed to finely assess their performances in terms of sensitivity and false discovery rate, by measuring the number of true and false-positive (respectively UPS1 or yeast background proteins found as differential). The spiked standard dataset has been deposited to the ProteomeXchange repository with the identifier PXD001819 and can be used to benchmark other label-free workflows, adjust software parameter settings, improve algorithms for extraction of the quantitative metrics from raw MS data, or evaluate downstream statistical methods.Bioinformatic pipelines for label-free quantitative analysis must be objectively evaluated in their ability to detect variant proteins with good sensitivity and low false discovery rate in large-scale proteomic studies. This can be done through the use of complex spiked samples, for which the "ground truth" of variant proteins is known, allowing a statistical evaluation of the performances of the data processing workflow. We provide here such a controlled standard dataset and used it to evaluate the performances of several label-free bioinformatics tools (including MaxQuant, Skyline, MFPaQ, IRMa-hEIDI and Scaffold) in different workflows, for detection of variant proteins with different absolute expression levels and fold change values. The dataset presented here can be useful for tuning software tool parameters, and also testing new algorithms for label-free quantitative analysis, or for evaluation of downstream statistical methods.

Published
2016
Full Text
View/download PDF

4. Conformation-Dependent Swinging of the Matrix Loop m2 of the Mitochondrial Saccharomyces cerevisiae ADP/ATP Carrier

Author

Claire Ramus, Gérard Brandolin, Cécile Dahout-Gonzalez, Emmanuel Philippe Dassa, and Anne-Christine Dianoux, Biochimie et biophysique des systèmes intégrés (BBSI), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Développement de la protéomique comme outil d'investigation fonctionelle et d'annotation des génomes, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Membranes bactériennes, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie, conséquences fonctionnelles et neuroprotection des atteintes du cerveau en développement, Université Paris Diderot - Paris 7 (UPD7)-IFR2-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique et biochimie des microorganismes (GBM), Institut Laue-Langevin (ILL), Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Joseph Fourier - Grenoble 1 (UJF), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), and ILL

Subjects
Saccharomyces cerevisiae Proteins, Protein Conformation, MESH: Mitochondria, Saccharomyces cerevisiae, Atractyloside, Mitochondrion, Biology, Biochemistry, Structure-Activity Relationship, 03 medical and health sciences, Adenosine Triphosphate, MESH: Structure-Activity Relationship, MESH: Protein Conformation, MESH: Saccharomyces cerevisiae Proteins, 0302 clinical medicine, Protein structure, MESH: Adenosine Triphosphate, Animals, MESH: Animals, MESH: Bongkrekic Acid, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], Inner mitochondrial membrane, 030304 developmental biology, 0303 health sciences, MESH: Adenosine Diphosphate, ATP transport, Nucleotide transport, Mitochondrial carrier, MESH: Saccharomyces cerevisiae, Mitochondria, Adenosine Diphosphate, MESH: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, MESH: Atractyloside, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Biophysics, ATP–ADP translocase, MESH: Mitochondrial ADP, ATP Translocases, Bongkrekic Acid, Intermembrane space, Mitochondrial ADP, ATP Translocases, 030217 neurology & neurosurgery
Abstract

International audience; Structure-function relationships of the membrane-embedded Saccharomyces cerevisiae mitochondrial ADP/ATP carrier were investigated through two independent approaches, namely, limited proteolysis and cysteine labeling. Experiments were carried out in the presence of either carboxyatractyloside (CATR) or bongkrekic acid (BA), two specific inhibitors of the ADP/ATP transport that bind to two distinct conformers involved in the translocation process. The proteolysis approach allowed us to demonstrate (i) that N- and C-terminal extremities of ADP/ATP carrier are facing the intermembrane space and (ii) that the central region of the carrier corresponding to the matrix loop m2 is accessible to externally added trypsin in a conformation-sensitive manner, being cleaved at the Lys163-Gly164 and Lys178-Thr179 bonds in the carrier-CATR and the carrier-BA complexes, respectively. The cysteine labeling approach was carried out on the S161C mutant of the ADP/ATP carrier. This variant of the carrier is fully active, displaying nucleotide transport kinetic parameters and inhibitor binding properties similar to that of wild-type carrier. Alkylation experiments, carried out on mitochondria with the nonpermeable reagents eosin-5-maleimide and iodoacetamidyl-3,6-dioxaoctanediamine-biotin, showed that Cys 161 is accessible from the outside in the carrier-CATR complex, whereas it is masked in the carrier-BA complex. Taken together, our results indicate that the matrix loop m2 connecting the transmembrane helices H3 to H4 intrudes to some extent into the inner mitochondrial membrane. Its participation in the translocation of ADP/ATP is strongly suggested, based on the finding that its accessibility to reagents added outside mitochondria is modified according to the conformational state of the carrier.

Published
2005
Full Text
View/download PDF

5. The PHD finger protein Spp1 has distinct functions in the Set1 and the meiotic DSB formation complexes

Author

Claire Béneut, Vérane Sommermeyer, Céline Adam, Valérie Borde, Raphael Guerois, Yohann Couté, Florine Adolphe, Anna Citarella, Laura Verardi, Jérôme Govin, Claire Ramus, Dynamique de l'information génétique : bases fondamentales et cancer (DIG CANCER), Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Assemblage moléculaire et intégrité du génome (AMIG), Département Biochimie, Biophysique et Biologie Structurale (B3S), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biologie à Grande Échelle (BGE - UMR S1038), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Dynamique de l'information génétique : bases fondamentales et cancer ( DIG CANCER ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -INSTITUT CURIE-Centre National de la Recherche Scientifique ( CNRS ), Institut de Biologie Intégrative de la Cellule ( I2BC ), Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Sud - Paris 11 ( UP11 ), Laboratoire de Biologie à Grande Échelle ( BGE - UMR S1038 ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Grenoble Alpes [Saint Martin d'Hères]-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Expression Génétique Microbienne (EGM (UMR_8261 / FRE_3630)), Institut de biologie physico-chimique (IBPC (FR_550)), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Intégrative de la Cellule (I2BC), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut Curie-Université Pierre et Marie Curie - Paris 6 (UPMC), Laboratoire d'étude de la dynamique des protéomes (LEDyP), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut d'oncologie/développement Albert Bonniot de Grenoble (INSERM U823), Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de génétique et de physiologie moléculaire et cellulaire (CGPhiMC), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Dynamique de l'information génétique : bases fondamentales et cancer (DIGBFC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Curie-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and HAL UPMC, Gestionnaire

Subjects
0301 basic medicine, Cancer Research, post-translational, [SDV]Life Sciences [q-bio], organisms genetically modified, Yeast and Fungal Models, Biochemistry, Histones, Double-Stranded, DNA Breaks, Double-Stranded, Cell Cycle and Cell Division, Homologous Recombination, ComputingMilieux_MISCELLANEOUS, Genetics (clinical), DNA methylation, biology, Chromosome Biology, protein processing, Eukaryota, Methylation, Chromatin, Cell biology, Nucleic acids, Meiosis, Histone, Experimental Organism Systems, Cell Processes, Epigenetics, DNA modification, Chromatin modification, Research Article, Multiple Alignment Calculation, Saccharomyces cerevisiae Proteins, lcsh:QH426-470, DNA recombination, Saccharomyces cerevisiae, Research and Analysis Methods, Saccharomyces, 03 medical and health sciences, Model Organisms, DNA-binding proteins, Computational Techniques, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Genetics, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Protein Interactions, [ SDV.BBM ] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Organisms, Genetically Modified, DNA Breaks, Organisms, Fungi, Biology and Life Sciences, Proteins, Histone-Lysine N-Methyltransferase, Cell Biology, DNA, biology.organism_classification, Yeast, Split-Decomposition Method, lcsh:Genetics, 030104 developmental biology, PHD finger, Multiprotein Complexes, multiprotein complexes, PHD Zinc Fingers, protein processing, post-translational, biology.protein, H3K4me3, Gene expression, Homologous recombination, Protein Processing, Post-Translational
Abstract

Histone H3K4 methylation is a feature of meiotic recombination hotspots shared by many organisms including plants and mammals. Meiotic recombination is initiated by programmed double-strand break (DSB) formation that in budding yeast takes place in gene promoters and is promoted by histone H3K4 di/trimethylation. This histone modification is recognized by Spp1, a PHD finger containing protein that belongs to the conserved histone H3K4 methyltransferase Set1 complex. During meiosis, Spp1 binds H3K4me3 and interacts with a DSB protein, Mer2, to promote DSB formation close to gene promoters. How Set1 complex- and Mer2- related functions of Spp1 are connected is not clear. Here, combining genome-wide localization analyses, biochemical approaches and the use of separation of function mutants, we show that Spp1 is present within two distinct complexes in meiotic cells, the Set1 and the Mer2 complexes. Disrupting the Spp1-Set1 interaction mildly decreases H3K4me3 levels and does not affect meiotic recombination initiation. Conversely, the Spp1-Mer2 interaction is required for normal meiotic recombination initiation, but dispensable for Set1 complex-mediated histone H3K4 methylation. Finally, we provide evidence that Spp1 preserves normal H3K4me3 levels independently of the Set1 complex. We propose a model where Spp1 works in three ways to promote recombination initiation: first by depositing histone H3K4 methylation (Set1 complex), next by “reading” and protecting histone H3K4 methylation, and finally by making the link with the chromosome axis (Mer2-Spp1 complex). This work deciphers the precise roles of Spp1 in meiotic recombination and opens perspectives to study its functions in other organisms where H3K4me3 is also present at recombination hotspots., Author summary Meiotic recombination is a conserved pathway of sexual reproduction that is required to faithfully segregate homologous chromosomes and produce viable gametes. Recombination events between homologous chromosomes are triggered by the programmed formation of DNA breaks, which occur preferentially at places called hotspots. In many organisms, these hotspots are located close to a particular chromatin modification, the methylation of lysine 4 of histone H3 (H3K4me3). It was previously shown in the budding yeast model that one protein, Spp1, plays an important function in this process. We further explored the functional link between Spp1 and its interacting partners, and show that Spp1 shows genetically separable functions, by depositing the H3K4me3 mark on the chromatin, “reading” and protecting it, and linking it to the recombination proteins. We provide evidence that Spp1 is in distinct complexes to perform these functions. This work opens perspectives for understanding the process in other eukaryotes such as mammals, where most of the proteins involved are conserved.

Published
2018
Full Text
View/download PDF

6. AT_CHLORO, a comprehensive chloroplast proteome database with subplastidial localization and curated information on envelope proteins

Author

Daniel Salvi, Jérôme Garin, Norbert Rolland, Stéphane Miras, Christophe Bruley, Sabine Brugière, Sylvie Kieffer-Jaquinod, Jacques Joyard, Lucas Moyet, Sophie Le Gall, Daphné Seigneurin-Berny, Christophe Masselon, Magali Court, Myriam Ferro, Claire Ramus, Mourad Mellal, Laboratoire d'étude de la dynamique des protéomes (LEDyP), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de physiologie cellulaire végétale (LPCV), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de chimie des protéines, Laboratoire de Glycobiologie et Matrice Extracellulaire Végétale (Glyco-MEV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
0106 biological sciences, Chloroplasts, Arabidopsis thaliana, thylakoid, Arabidopsis, plant, Proteomics, computer.software_genre, Thylakoids, 01 natural sciences, Biochemistry, Mass Spectrometry, Analytical Chemistry, Databases, Protein, database, chemistry.chemical_classification, 0303 health sciences, Database, Amino acid, Chloroplast, Thylakoid, Proteome, Subcellular Fractions, proteome, Blotting, Western, Biology, Cell Fractionation, envelope membrane, plastidial localization, 03 medical and health sciences, proteomics, Stroma, chloroplast, stroma, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Molecular Biology, 030304 developmental biology, Arabidopsis Proteins, Research, Reproducibility of Results, Intracellular Membranes, biology.organism_classification, Cell Compartmentation, chemistry, Chloroplast Proteins, Peptides, protein, computer, 010606 plant biology & botany
Abstract

International audience; Recent advances in the proteomics field have allowed a series of high throughput experiments to be conducted on chloroplast samples, and the data are available in several public databases. However, the accurate localization of many chloroplast proteins often remains hypothetical. This is especially true for envelope proteins. We went a step further into the knowledge of the chloroplast proteome by focusing, in the same set of experiments, on the localization of proteins in the stroma, the thylakoids, and envelope membranes. LC-MS/MS-based analyses first allowed building the AT_CHLORO database (http://www.grenoble.prabi.fr/protehome/grenoble-plant-proteomics/), a comprehensive repertoire of the 1323 proteins, identified by 10,654 unique peptide sequences, present in highly purified chloroplasts and their subfractions prepared from Arabidopsis thaliana leaves. This database also provides extensive proteomics information (peptide sequences and molecular weight, chromatographic retention times, MS/MS spectra, and spectral count) for a unique chloroplast protein accurate mass and time tag database gathering identified peptides with their respective and precise analytical coordinates, molecular weight, and retention time. We assessed the partitioning of each protein in the three chloroplast compartments by using a semiquantitative proteomics approach (spectral count). These data together with an in-depth investigation of the literature were compiled to provide accurate subplastidial localization of previously known and newly identified proteins. A unique knowledge base containing extensive information on the proteins identified in envelope fractions was thus obtained, allowing new insights into this membrane system to be revealed. Altogether, the data we obtained provide unexpected information about plastidial or subplastidial localization of some proteins that were not suspected to be associated to this membrane system. The spectral counting-based strategy was further validated as the compartmentation of well known pathways (for instance, photosynthesis and amino acid, fatty acid, or glycerolipid biosynthesis) within chloroplasts could be dissected. It also allowed revisiting the compartmentation of the chloroplast metabolism and functions.

Published
2010
Full Text
View/download PDF

7. An Optimized Strategy for ICAT Quantification of Membrane Proteins*

Author

Cécile Dahout, Maighréad Gallagher, Anne Gonzalez de Peredo, Jérôme Garin, Claire Ramus, Laboratoire de chimie des protéines, and Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Embryo, Nonmammalian, Ovalbumin, Affinity label, [SDV]Life Sciences [q-bio], Biotin, Lactoglobulins, 01 natural sciences, Biochemistry, Analytical Chemistry, 03 medical and health sciences, chemistry.chemical_compound, Mice, Animals, Urea, Electrophoresis, Gel, Two-Dimensional, Trypsin, Cysteine, Molecular Biology, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, biology, Adenine nucleotide translocator, Stem Cells, 010401 analytical chemistry, Membrane Proteins, Affinity Labels, Embryo, Mammalian, 0104 chemical sciences, Electrophoresis, Matrix-assisted laser desorption/ionization, chemistry, Membrane protein, Mitochondrial Membrane Protein, Reagent, Isotope Labeling, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, biology.protein, Cattle, Chickens
Abstract

The work presented here focuses on the development of a method adapting isotope labeling of proteins with ICAT to the study of highly hydrophobic proteins. Conditions for the labeling of proteins were first established using two standard soluble proteins and iodoacetamidyl-3,6-dioxaoctanediamine biotin (PEO-iodoacetyl biotin). Results demonstrated the efficiency of the labeling in the presence of high concentrations of both SDS and urea. These conditions were then used to label a highly hydrophobic mitochondrial membrane protein, the adenine nucleotide translocator ANT-1, with PEO-iodoacetyl biotin and then with the cleavable ICAT reagent. The results presented here show that labeling of proteins with cleavable ICAT is possible and may even be improved in strong denaturing buffers containing both SDS at a concentration higher than 0.5% (w/v) and urea. These results open the possibility of applying the ICAT strategy to complex samples containing very hydrophobic proteins solubilized in urea-SDS buffers. The adaptability of the developed method is demonstrated here with preliminary results obtained during the study of membrane-enriched fractions prepared from murine embryonic stem cells.

Published
2006
Full Text
View/download PDF

8. A versatile method for deciphering plant membrane proteomes

Author

Myriam Ferro, Jérôme Garin, Norbert Rolland, Daniel Salvi, Geneviève Ephritikhine, Jacques Joyard, Claire Ramus, Jacques Bourguignon, Anne Marmagne, Daphné Seigneurin-Berny, Hélène Barbier-Brygoo, Sabine Brugière, Laboratoire de physiologie cellulaire végétale (LPCV), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Développement de la protéomique comme outil d'investigation fonctionelle et d'annotation des génomes, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut des sciences du végétal (ISV), Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, Arabidopsis thaliana, Physiology, Arabidopsis, plant, Plant Science, Alkalies, membrane purification, Cell Fractionation, Proteomics, plasma membrane, 01 natural sciences, Chloroplast membrane, 03 medical and health sciences, proteomics, subcellular localization, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, membrane, chloroplast envelope, 030304 developmental biology, 0303 health sciences, biology, Arabidopsis Proteins, protein fractionation, Proteolytic enzymes, Computational Biology, Membrane Proteins, food and beverages, Intracellular Membranes, biology.organism_classification, mitochondria, Membrane, Biochemistry, Membrane protein, Thylakoid, Proteome, Salts, protein, techniques, 010606 plant biology & botany
Abstract

Proteomics is a very powerful approach to link the information contained in sequenced genomes, like that of Arabidopsis, to the functional knowledge provided by studies of plant cell compartments. This article summarizes the different steps of a versatile strategy that has been developed to decipher plant membrane proteomes. Initiated with envelope membranes from spinach chloroplasts, this strategy has been adapted to thylakoids, and further extended to a series of membranes from the model plant Arabidopsis: chloroplast envelope membranes, plasma membrane, and mitochondrial membranes. The first step is the preparation of highly purified membrane fractions from plant tissues. The second step in the strategy is the fractionation of membrane proteins on the basis of their physico-chemical properties. Chloroform/methanol extraction and washing of membranes with NaOH, NaCl or any other agent led to the simplification of the protein content of the fraction to be analysed. The next step is the genuine proteomic step, i.e. the separation of proteins by 1D-gel electrophoresis followed by in-gel proteolytic digestion of the polypeptides, analysis of the proteolytic peptides using mass spectrometry, and protein identification by searching through databases. The last step is the validation of the procedure by checking the subcellular location. The results obtained by using this strategy demonstrate that a combination of different proteomics approaches, together with bioinformatics, indeed provide a better understanding of the biochemical machinery of the different plant membranes at the molecular level.

Published
2006
Full Text
View/download PDF

9. Structural organization of mitochondrial human complex I: role of the ND4 and ND5 mitochondria-encoded subunits and interaction with prohibitin

Author

Pierre Cardol, Claire Ramus, Bénédicte Mousson de Camaret, Réjane Beugnot, Jean-Paul Issartel, Götz Hofhaus, Ingrid Bourges, and Claire Remacle

Subjects
Genotype, Protein subunit, Bone Neoplasms, Mitochondrion, Biochemistry, Mass Spectrometry, Oxidative Phosphorylation, Mitochondrial Proteins, Oxidoreductase, Cell Line, Tumor, Prohibitins, Humans, Prohibitin, Inner mitochondrial membrane, Molecular Biology, chemistry.chemical_classification, Osteosarcoma, Electron Transport Complex I, biology, NADH dehydrogenase, NADH Dehydrogenase, Cell Biology, DNA, Neoplasm, Cell biology, Mitochondria, Repressor Proteins, Protein Subunits, chemistry, G12/G13 alpha subunits, Chaperone (protein), biology.protein, Chromatography, Liquid, Research Article
Abstract

Mitochondria-encoded ND (NADH dehydrogenase) subunits, as components of the hydrophobic part of complex I, are essential for NADH:ubiquinone oxidoreductase activity. Mutations or lack of expression of these subunits have significant pathogenic consequences in humans. However, the way these events affect complex I assembly is poorly documented. To understand the effects of particular mutations in ND subunits on complex I assembly, we studied four human cell lines: ND4 non-expressing cells, ND5 non-expressing cells, and rho° cells that do not express any ND subunits, in comparison with normal complex I control cells. In control cells, all the seven analysed nuclear-encoded complex I subunits were found to be attached to the mitochondrial inner membrane, except for the 24 kDa subunit, which was nearly equally partitioned between the membranes and the matrix. Absence of a single ND subunit, or even all the seven ND subunits, caused no major changes in the nuclear-encoded complex I subunit content of mitochondria. However, in cells lacking ND4 or ND5, very low amounts of 24 kDa subunit were found associated with the membranes, whereas most of the other nuclear-encoded subunits remained attached. In contrast, membrane association of most of the nuclear subunits was significantly reduced in the absence of all seven ND proteins. Immunopurification detected several subcomplexes. One of these, containing the 23, 30 and 49 kDa subunits, also contained prohibitin. This is the first description of prohibitin interaction with complex I subunits and suggests that this protein might play a role in the assembly or degradation of mitochondrial complex I.

Published
2004

10. Expression of S100A8 in Leukemic Cells Predicts Poor Survival in De Novo AML Patients

Author

Pascal Mossuz, Jérôme Garin, Françoise Morel, Sylvie Berthier, Christine Lefebvre, Claire Ramus, Marie Arlotto, Emmanuelle E. Nicolas, Norbert Ifrah, Jean-Yves Cahn, and François Berger

Subjects
Oncology, medicine.medical_specialty, Poor prognosis, Proteomic Profile, Receiver operating characteristic, medicine.diagnostic_test, business.industry, Immunology, Cell Biology, Hematology, medicine.disease, Biochemistry, Peripheral blood mononuclear cell, Lymphoma, S100A8, Western blot, Cell culture, Internal medicine, medicine, business
Abstract

Abstract 276 Treatment strategies of acute myeloid leukaemia (AML) largely depend on their cytogenetic status. However this stratification remains insufficient for almost half of the patients, requiring subsequent molecular investigations. In our study, we used mass spectrometry-based proteomic approaches to characterize de novo-AML. Samples (blood mononuclear cells collected and frozen before any treatment) were retrospectively selected from two independent sets of newly diagnosed AML patients, included in prospective clinical trials of the GOELAMS (Groupe d'Etude Ouest-Est des Leucémies aigues). We showed that protein signature of leukemic cells defined 2 groups of patients that displayed significant variation of overall and disease free survival (Fig-1A). This proteomic classification refined cytogenetic classes. Combination of proteomic and cytogenetic allowed a new stratification highly correlated with outcome. In particular, AML with intermediate and high risk cytogenetic could be respectively subdivided according to their protein profiles in two subgroups with significantly different survival (Fig-1B). Interestingly in both type 2 and type 3 cytogenetic groups, a good proteomic profile identified subsets of patients with significantly increased probability of survival, suggesting that the weigh of a good proteomic risk might predominate over a bad predictive cytogenetic. Among proteins expressed by leukemic cells, we isolated a 10800 Da marker that retained the highest discriminative value between alive and deceased patients. The median intensity of the 10800 peak was 94.3 ± 97.7 (7.5-368.7) in living patients compared to 214.2 ± 163.7 (9.0-693.4) in dead patients (p= 0.009). Among normal cytogenetic patients, intensity levels of the marker was also significantly different between dead (217.4 ± 155.7 range 10.4-612.8) and alive patients (26.0 ± 73.1, range 6-168.1; p= 0.008) (Fig-1C). Using a thresholds of 100 (calculated by ROC curves) we were able to correctly identify 82% of patients who died (patients greater than 100) and 70% of patients who stayed alive (patients lower than 100) with a specificity of 65% and 82% respectively. These data were confirmed in a second independent set of patients. 10800 Da marker was identified by MS peptide sequencing as S100A8 (also designated MRP8 or calgranulin A), a cytosolic protein of mature granulocytes. Western blot analysis confirmed its expression mainly in AML patients with the worst prognostic but not in all AML patients, neither in some leukemic and lymphoma cell lines, arguing for a selective deregulation associated with poor prognosis. These results show that expression of S100A8 in leukemic cells at diagnosis might be considered as a predictor of low survival. Disclosures: No relevant conflicts of interest to declare.

Catalog

Books, media, physical & digital resources
See catalog results