Back to Search
Start Over
Detection and identification of plasma proteins that bind GlialCAM using ProteinChip arrays, SELDI-TOF MS, and nano-LC MS/MS.
- Source :
-
Proteomics [Proteomics] 2008 Jan; Vol. 8 (2), pp. 378-88. - Publication Year :
- 2008
-
Abstract
- In order to fully understand biological processes it is essential to identify interactions in protein complexes. There are several techniques available to study this type of interactions, such as yeast two-hybrid screens, affinity chromatography, and coimmunoprecipitation. We propose a novel strategy to identify protein-protein interactions, comprised of first detecting the interactions using ProteinChips and SELDI-TOF MS, followed by the isolation of the interacting proteins through affinity beads and RP-HPLC and finally identifying the proteins using nano-LC MS/MS. The advantages of this new strategy are that the primary high-throughput screening of samples can be performed with small amounts of sample, no specific antibody is needed and the proteins represented on the SELDI-TOF MS spectra can be identified with high confidence. Furthermore, the method is faster and less labor-intensive than other current approaches. Using this novel method, we isolated and identified the interactions of two mouse plasma proteins, mannose binding lectin C and properdin, with GlialCAM, a type 1 transmembrane glycoprotein that belongs to the Ig superfamily.
- Subjects :
- Animals
Cell Cycle Proteins
Chromatography, Liquid methods
Humans
Intercellular Signaling Peptides and Proteins metabolism
Interleukin-18 metabolism
Mannose-Binding Lectin analysis
Mice
Nanotechnology methods
Properdin analysis
Protein Array Analysis methods
Protein Binding
Tandem Mass Spectrometry methods
Cell Adhesion Molecules, Neuron-Glia metabolism
Mannose-Binding Lectin metabolism
Properdin metabolism
Protein Interaction Mapping methods
Proteins metabolism
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization methods
Subjects
Details
- Language :
- English
- ISSN :
- 1615-9853
- Volume :
- 8
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 18203261
- Full Text :
- https://doi.org/10.1002/pmic.200700564