TY - JOUR
T1 - Reverse phase protein microarray technology in traumatic brain injury
AU - Gyorgy, Andrea B.
AU - Walker, John
AU - Wingo, Dan
AU - Eidelman, Ofer
AU - Pollard, Harvey B.
AU - Molnar, Andras
AU - Agoston, Denes V.
PY - 2010/9
Y1 - 2010/9
N2 - Antibody based, high throughput proteomics technology represents an exciting new approach in understanding the pathobiologies of complex disorders such as cancer, stroke and traumatic brain injury. Reverse phase protein microarray (RPPA) can complement the classical methods based on mass spectrometry as a high throughput validation and quantification method. RPPA technology can address problematic issues, such as sample complexity, sensitivity, quantification, reproducibility and throughput, which are currently associated with mass spectrometry-based approaches. However, there are technical challenges, predominantly associated with the selection and use of antibodies, preparation and representation of samples and with analyzing and quantifying primary RPPA data. Here we present ways to identify and overcome some of the current issues associated with RPPA. We believe that using stringent quality controls, improved bioinformatics analysis and interpretation of primary RPPA data, this method will significantly contribute in generating new level of understanding about complex disorders at the level of systems biology.
AB - Antibody based, high throughput proteomics technology represents an exciting new approach in understanding the pathobiologies of complex disorders such as cancer, stroke and traumatic brain injury. Reverse phase protein microarray (RPPA) can complement the classical methods based on mass spectrometry as a high throughput validation and quantification method. RPPA technology can address problematic issues, such as sample complexity, sensitivity, quantification, reproducibility and throughput, which are currently associated with mass spectrometry-based approaches. However, there are technical challenges, predominantly associated with the selection and use of antibodies, preparation and representation of samples and with analyzing and quantifying primary RPPA data. Here we present ways to identify and overcome some of the current issues associated with RPPA. We believe that using stringent quality controls, improved bioinformatics analysis and interpretation of primary RPPA data, this method will significantly contribute in generating new level of understanding about complex disorders at the level of systems biology.
KW - Antibody specificity
KW - Bioinformatics
KW - Reverse phase protein microarray
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=77956226393&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2010.07.029
DO - 10.1016/j.jneumeth.2010.07.029
M3 - Article
C2 - 20674607
AN - SCOPUS:77956226393
SN - 0165-0270
VL - 192
SP - 96
EP - 101
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 1
ER -