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Quantitative proteomics of lymphocytes.
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MedLine Citation:
PMID:  18629005     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Lymphocytes are the best-studied higher eukaryote cells. In this report, quantitative relationships of the protein components in resting cell, blast cell and plasma cell types are evaluated. The comparison of these cell types leads to the conclusion that resting cells synthesize about one-twentieth of the protein species as compared to blast cells. Blast cells seem to be metabolically the most robust lymphocyte type. Plasma cells are geared towards synthesis of one main product (antibody in B plasma cells), while most of the synthesis of other protein species (including those for housekeeping and repair) decreases as the messages decay. Although the data presented in this communication allow a meaningful comparison of three cell populations, they are far from providing a full picture. Both silver staining and radiofluorography depict only proteins of high or intermediate abundance. Silver staining misses most proteins present at <10 000 copies/cell, while radiofluorography misses all those proteins with slow turnover (and those with no methionine residue in their sequence). The detection of 1100 spots in the blast cell-related radiofluorograph includes visualization of some 97-99% of protein mass, but some 3900 polypeptide species in the remaining 1-3% of protein mass will pass undetected. This protein mass (0.7-2 pg) reflects some 2500-7500 copies of each of those 3900 polypeptide species that are present in the cell below the detection limit. The work emphasizes that full understanding of cellular function can be achieved only if quantitative aspects of cell inventory are considered.
Authors:
Ivan Lefkovits
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Comparative and functional genomics     Volume:  4     ISSN:  1531-6912     ISO Abbreviation:  Comp. Funct. Genomics     Publication Date:  2003  
Date Detail:
Created Date:  2008-07-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101090797     Medline TA:  Comp Funct Genomics     Country:  Egypt    
Other Details:
Languages:  eng     Pagination:  531-6     Citation Subset:  -    
Affiliation:
Department of Research University Clinics Basel Switzerland.
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Journal Information
Journal ID (nlm-ta): Comp Funct Genomics
ISSN: 1531-6912
ISSN: 1532-6268
Publisher: Hindawi Publishing Corporation
Article Information
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Copyright ? 2003 Hindawi Publishing Corporation.
open-access: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received Day: 21 Month: 7 Year: 2003
Revision Received Day: 4 Month: 8 Year: 2003
Accepted Day: 4 Month: 8 Year: 2003
Print publication date: Month: 10 Year: 2003
Volume: 4 Issue: 5
First Page: 531 Last Page: 536
ID: 2447287
PubMed Id: 18629005
Publisher Item Identifier: S1531691203000883
DOI: 10.1002/cfg.322

Quantitative Proteomics of Lymphocytes
Ivan Lefkovits12 Address: ivan.lefkovits@unibas.ch
1Department of ResearchUniversity Clinics BaselSwitzerland
2Physiology Institute of University BaselVesalianumVesalgasse 1Basel4051Switzerland


Article Categories:
  • Research Article


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