Literature DB >> 18614565

Extensive analysis of the cytoplasmic proteome of human erythrocytes using the peptide ligand library technology and advanced mass spectrometry.

Florence Roux-Dalvai1, Anne Gonzalez de Peredo, Carolina Simó, Luc Guerrier, David Bouyssié, Alberto Zanella, Attilio Citterio, Odile Burlet-Schiltz, Egisto Boschetti, Pier Giorgio Righetti, Bernard Monsarrat.   

Abstract

The erythrocyte cytoplasmic proteome is composed of 98% hemoglobin; the remaining 2% is largely unexplored. Here we used a combinatorial library of hexameric peptides as a capturing agent to lower the signal of hemoglobin and amplify the signal of low to very low abundance proteins in the cytoplasm of human red blood cells (RBCs). Two types of hexapeptide library beads have been adopted: amino-terminal hexapeptide beads and beads in which the peptides have been further derivatized by carboxylation. The amplification of the signal of low abundance and suppression of the signal of high abundance species were fully demonstrated by two-dimensional gel maps and nano-LC-MSMS analysis. The effect of this new methodology on quantitative information also was explored. Moreover using this approach on an LTQ-Orbitrap mass spectrometer, we could identify with high confidence as many as 1578 proteins in the cytoplasmic fraction of a highly purified preparation of RBCs, allowing a deep exploration of the classical RBC pathways as well as the identification of unexpected minor proteins. In addition, we were able to detect the presence of eight different hemoglobin chains including embryonic and newly discovered globin chains. Thus, this extensive study provides a huge data set of proteins that are present in the RBC cytoplasm that may help to better understand the biology of this simplified cell and may open the way to further studies on blood pathologies using targeted approaches.

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Year:  2008        PMID: 18614565     DOI: 10.1074/mcp.M800037-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  48 in total

1.  UBE2O remodels the proteome during terminal erythroid differentiation.

Authors:  Anthony T Nguyen; Miguel A Prado; Paul J Schmidt; Anoop K Sendamarai; Joshua T Wilson-Grady; Mingwei Min; Dean R Campagna; Geng Tian; Yuan Shi; Verena Dederer; Mona Kawan; Nathalie Kuehnle; Joao A Paulo; Yu Yao; Mitchell J Weiss; Monica J Justice; Steven P Gygi; Mark D Fleming; Daniel Finley
Journal:  Science       Date:  2017-08-04       Impact factor: 47.728

2.  Depletion of hemoglobin and carbonic anhydrase from erythrocyte cytosolic samples by preparative clear native electrophoresis.

Authors:  Gian Maria D'Amici; Sara Rinalducci; Lello Zolla
Journal:  Nat Protoc       Date:  2011-12-08       Impact factor: 13.491

Review 3.  Proteomic and metabolomic profiles in atherothrombotic vascular disease.

Authors:  Roxana Martinez-Pinna; Coral Barbas; Luis Miguel Blanco-Colio; Jose Tunon; Priscila Ramos-Mozo; Juan Antonio Lopez; Olivier Meilhac; Jean-Baptiste Michel; Jesus Egido; José Luis Martin-Ventura
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

4.  Transfusion medicine and proteomics: an alliance for blood quality and safety.

Authors:  Giuliano Grazzini
Journal:  Blood Transfus       Date:  2010-06       Impact factor: 3.443

5.  Proteome analysis of the triton-insoluble erythrocyte membrane skeleton.

Authors:  Avik Basu; Sandra Harper; Esther N Pesciotta; Kaye D Speicher; Abhijit Chakrabarti; David W Speicher
Journal:  J Proteomics       Date:  2015-08-10       Impact factor: 4.044

6.  In-depth exploration of cerebrospinal fluid by combining peptide ligand library treatment and label-free protein quantification.

Authors:  Emmanuelle Mouton-Barbosa; Florence Roux-Dalvai; David Bouyssié; François Berger; Eric Schmidt; Pier Giorgio Righetti; Luc Guerrier; Egisto Boschetti; Odile Burlet-Schiltz; Bernard Monsarrat; Anne Gonzalez de Peredo
Journal:  Mol Cell Proteomics       Date:  2010-01-21       Impact factor: 5.911

7.  Microfluidic enrichment of small proteins from complex biological mixture on nanoporous silica chip.

Authors:  Ye Hu; Ashwini Gopal; Kevin Lin; Yang Peng; Ennio Tasciotti; Xiaojing John Zhang; Mauro Ferrari
Journal:  Biomicrofluidics       Date:  2011-03-30       Impact factor: 2.800

8.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

9.  Neuromelanin organelles are specialized autolysosomes that accumulate undegraded proteins and lipids in aging human brain and are likely involved in Parkinson's disease.

Authors:  Fabio A Zucca; Renzo Vanna; Francesca A Cupaioli; Chiara Bellei; Antonella De Palma; Dario Di Silvestre; Pierluigi Mauri; Sara Grassi; Alessandro Prinetti; Luigi Casella; David Sulzer; Luigi Zecca
Journal:  NPJ Parkinsons Dis       Date:  2018-06-05

10.  Increased expression of beta-N-acetylglucosaminidase in erythrocytes from individuals with pre-diabetes and diabetes.

Authors:  Kyoungsook Park; Christopher D Saudek; Gerald W Hart
Journal:  Diabetes       Date:  2010-04-22       Impact factor: 9.461

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