title: A label-free proteome analysis strategy for identifying quantitative changes in erythrocyte membranes induced by red cell disorders.
abstract: Red blood cells have been extensively studied but many questions regarding membrane properties and pathophysiology remain unanswered. Proteome analysis of red cell membranes is complicated by a very wide dynamic range of protein concentrations as well as the presence of proteins that are very large, very hydrophobic, or heterogeneously glycosylated. This study investigated the removal of other blood cell types, red cell membrane extraction, differing degrees of fractionation using 1-D SDS gels, and label-free quantitative methods to determine optimized conditions for proteomic comparisons of clinical blood samples. The results showed that fractionation of red cell membranes on 1-D SDS gels was more efficient than low-ionic-strength extractions followed by 1-D gel fractionation. When gel lanes were sliced into 30 uniform slices, a good depth of analysis that included the identification of most well-characterized, low-abundance red cell membrane proteins including those present at 500 to 10,000 copies per cell was obtained. Furthermore, the size separation enabled detection of changes due to proteolysis or in vivo protein crosslinking. A combination of Rosetta Elucidator quantitation and subsequent statistical analysis enabled the robust detection of protein differences that could be used to address unresolved questions in red cell disorders. This article is part of a Special Issue entitled: Integrated omics.
authors.affiliation: Division of Hematology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: Esther N
authors.initials: EN
authors.lastname: Pesciotta
authors.forename: Sira
authors.initials: S
authors.lastname: Sriswasdi
authors.forename: Hsin-Yao
authors.initials: HY
authors.lastname: Tang
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Mason
authors.forename: Monica
authors.initials: M
authors.lastname: Bessler
authors.forename: David W
authors.initials: DW
authors.lastname: Speicher
mesh_terms: D004910:Erythrocyte Membrane / Q000378:metabolism* / Q000473:pathology; D004913:Erythrocytes, Abnormal / Q000378:metabolism* / Q000473:pathology; D005260:Female; D006402:Hematologic Diseases / Q000378:metabolism* / Q000473:pathology; D006801:Humans; D008297:Male; D008565:Membrane Proteins / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*
chemical_list: D008565:Membrane Proteins; D020543:Proteome