Literature DB >> 12362340

Separation of human erythrocyte membrane associated proteins with one-dimensional and two-dimensional gel electrophoresis followed by identification with matrix-assisted laser desorption/ionization-time of flight mass spectrometry.

Teck Yew Low1, Teck Keong Seow, Maxey C M Chung.   

Abstract

A classical proteomic analysis was used to establish a reference map of proteins associated with healthy human erythrocyte ghosts. Following osmotic lysis and differential centrifugation, ghost proteins were separated by either one-dimensional gel electrophoresis (1-DE) or two-dimensional gel electrophoresis (2-DE). Selected protein bands or spots were excised and trypsinized before mass spectrometric analyses and data mining was performed using the SWISS-PROT and NCBI nonredundant databases. A total of 102 protein spots from a 2-D gel were successfully identified. These corresponded to 59 distinct polypeptides with the remaining 43 being isoforms. As for the 1-D gel, 44 polypeptides were identified, of which 19 were also found on the 2-D gel. Most of the 19 common polypeptides were membrane cytoskeletal proteins that are often referred to as the "band" proteins. The remaining 25 polypeptides that were found exclusively on 1-D gels were proteins with high hydrophobicity (e.g., sorbitol dehydrogenase and glucose transporter) and high molecular mass (e.g., Kell blood group glycoprotein and Janus-kinase 2). A higher number of signaling proteins was also identified on 1-D gels compared to 2-D gels. These included Ras, cAMP dependent protein kinase and TGF-beta receptor type 1 precursor.

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Year:  2002        PMID: 12362340     DOI: 10.1002/1615-9861(200209)2:9<1229::AID-PROT1229>3.0.CO;2-N

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  27 in total

1.  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

2.  A comparative protein profile of mammalian erythrocyte membranes identified by mass spectrometry.

Authors:  Savita Sharma; Vinny Punjabi; Surekha M Zingde; Sadashiv M Gokhale
Journal:  J Membr Biol       Date:  2014-08-24       Impact factor: 1.843

3.  Plasma proteome of severe acute respiratory syndrome analyzed by two-dimensional gel electrophoresis and mass spectrometry.

Authors:  Jenn-Han Chen; Yu-Wang Chang; Chen-Wen Yao; Tzong-Shi Chiueh; Su-Chin Huang; Ko-Yi Chien; An Chen; Feng-Yee Chang; Chi-Huey Wong; Yu-Ju Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-30       Impact factor: 11.205

Review 4.  Proteomics: applications in transfusion medicine.

Authors:  Giancarlo Maria Liumbruno
Journal:  Blood Transfus       Date:  2008-04       Impact factor: 3.443

5.  Red blood cell proteomics update: is there more to discover?

Authors:  Angelo D'Alessandro; Monika Dzieciatkowska; Travis Nemkov; Kirk C Hansen
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

Review 6.  Red blood cell storage lesion: causes and potential clinical consequences.

Authors:  Tatsuro Yoshida; Michel Prudent; Angelo D'alessandro
Journal:  Blood Transfus       Date:  2019-01       Impact factor: 3.443

7.  Proteomic identification of erythrocyte membrane protein deficiency in hereditary spherocytosis.

Authors:  Selen Peker; Nejat Akar; Duygu Ozel Demiralp
Journal:  Mol Biol Rep       Date:  2011-06-26       Impact factor: 2.316

8.  iAB-RBC-283: A proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states.

Authors:  Aarash Bordbar; Neema Jamshidi; Bernhard O Palsson
Journal:  BMC Syst Biol       Date:  2011-07-12

9.  Alterations in the red blood cell membrane proteome in alzheimer's subjects reflect disease-related changes and provide insight into altered cell morphology.

Authors:  Joy G Mohanty; Hem D Shukla; Jefferey D Williamson; Lenore J Launer; Satya Saxena; Joseph M Rifkind
Journal:  Proteome Sci       Date:  2010-03-03       Impact factor: 2.480

10.  A label-free proteome analysis strategy for identifying quantitative changes in erythrocyte membranes induced by red cell disorders.

Authors:  Esther N Pesciotta; Sira Sriswasdi; Hsin-Yao Tang; Philip J Mason; Monica Bessler; David W Speicher
Journal:  J Proteomics       Date:  2012-08-29       Impact factor: 4.044

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