[Establishment of protein fingerprint database of Salmonella paratyphi  A using SELDI-TOF-MS].
OBJECTIVE
To establish a protein fingerprint database of Salmonella paratyphi A by surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS).


METHODS
Thirty-six clinical bacterial isolates and 96 control bacteria isolates were collected and identified using 16S rDNA sequencing. Bacterial proteins were detected by SELDI-TOF-MS,  and all protein fingerprints were analyzed by ProteinChip and Biomarker Wizard software. The analysis results were used to set up a classification tree model by means of BioMarker Patterns software. At the same time,  the data were tested by a blinded validation.


RESULTS
In the range of M(r); 3 000-20 000,  we obtained 104 protein peaks,  of which 90 were of statistical significance (P<0.01). A protein peak with mass-to-charge ratio(M/Z) 10 061.7 was chosen to establish the classification tree model of Salmonella paratyphi A,  and the sensitivity and specificity of Salmonella paratyphi A diagnosis was 100% as shown by the blinded validation.


CONCLUSIONS
The classification tree model of Salmonella paratyphi A can be not only established using SELDI-TOF-MS technology,  but also used for the rapid identification of Salmonella paratyphi A.
Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Xiao-qing
XQ
Li
Wen-fang
WF
Huang
Hua
H
Liu
Yong-chang
YC
Yang
Dai-wen
DW
Xiao
Hui
H
Yan
Chun-li
CL
Luo
D001483:Base Sequence; D030562:Databases, Protein; D008969:Molecular Sequence Data; D010449:Peptide Mapping; D040901:Proteomics; D012336:RNA, Ribosomal, 16S / Q000737:chemistry; D012482:Salmonella paratyphi A / Q000235:genetics / Q000378:metabolism*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D012336:RNA, Ribosomal, 16S