TY - JOUR
T1 - Balancing robust quantification and identification for iTRAQ
T2 - Application of UHR-ToF MS
AU - Ow, Saw Yen
AU - Noirel, Josselin
AU - Salim, Malinda
AU - Evans, Caroline Evans
AU - Watson, Rod
AU - Wright, Phillip C.
PY - 2010/6
Y1 - 2010/6
N2 - iTRAQ reagents allow the simultaneous multiplex identification and quantification of a large number of proteins. Success depends on effective peptide fragmentation in order to generate both peptide sequence ions (higher mass region, 150-2200 m/z) and reporter ions (low mass region, 113-121 m/z) for protein identification and relative quantification, respectively. After collision-induced dissociation, the key requirements to achieve a good balance between the high and low m/z ions are effective ion transmission and detection across the MS/MS mass range, since the ion transmission of the higher m/z range competes with that of the low m/z range. This study describes an analytical strategy for the implementation of iTRAQ on maXis UHR-Qq-ToF instruments, and discusses the impact of adjusting the MS/MS ion transmission parameters on the quality of the overall data sets. A technical discussion highlights a number of maXis-specific parameters, their impact of quantification and identification, and their cross-interactions.
AB - iTRAQ reagents allow the simultaneous multiplex identification and quantification of a large number of proteins. Success depends on effective peptide fragmentation in order to generate both peptide sequence ions (higher mass region, 150-2200 m/z) and reporter ions (low mass region, 113-121 m/z) for protein identification and relative quantification, respectively. After collision-induced dissociation, the key requirements to achieve a good balance between the high and low m/z ions are effective ion transmission and detection across the MS/MS mass range, since the ion transmission of the higher m/z range competes with that of the low m/z range. This study describes an analytical strategy for the implementation of iTRAQ on maXis UHR-Qq-ToF instruments, and discusses the impact of adjusting the MS/MS ion transmission parameters on the quality of the overall data sets. A technical discussion highlights a number of maXis-specific parameters, their impact of quantification and identification, and their cross-interactions.
KW - High-throughput proteomics
KW - iTRAQ underestimation
KW - maXis
KW - Quantitative proteomics
KW - Technology
KW - UHR-ToF
UR - http://www.scopus.com/inward/record.url?scp=77952979841&partnerID=8YFLogxK
U2 - 10.1002/pmic.200900746
DO - 10.1002/pmic.200900746
M3 - Article
C2 - 20352625
AN - SCOPUS:77952979841
SN - 1615-9853
VL - 10
SP - 2205
EP - 2213
JO - Proteomics
JF - Proteomics
IS - 11
ER -