scholarly journals High-throughput multiplex SNP genotyping with MALDI-TOF mass spectrometry: Practice, problems and promise

2001 ◽  
Vol 17 (4) ◽  
pp. 296-304 ◽  
Author(s):  
Molly S. Bray ◽  
Eric Boerwinkle ◽  
Peter A. Doris
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
Snp Genotyping ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof

scholarly journals genotools SNP MANAGER: A New Software for Automated High-Throughput MALDI-TOF Mass Spectrometry SNP Genotyping

BioTechniques ◽  
2001 ◽  
Vol 30 (1) ◽  
pp. 210-215 ◽  
Author(s):  
W. Pusch ◽  
K.-O. Kraeuter ◽  
T. Froehlich ◽  
Y. Stalgies ◽  
M. Kostrzewa
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
Snp Genotyping ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof

MALDI-TOF mass spectrometry-based SNP genotyping

2002 ◽  
Vol 3 (4) ◽  
pp. 537-548 ◽  
Author(s):  
Wolfgang Pusch ◽  
Jan-Henner Wurmbach ◽  
Herbert Thiele ◽  
Markus Kostrzewa
Keyword(s):  
Mass Spectrometry ◽  
Snp Genotyping ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof

scholarly journals High-throughput killer cell immunoglobulin-like receptor genotyping by MALDI-TOF mass spectrometry with discovery of novel alleles

2007 ◽  
Vol 59 (7) ◽  
pp. 525-537 ◽  
Author(s):  
Kathleen A. Houtchens ◽  
Robert J. Nichols ◽  
Martha B. Ladner ◽  
Hannah E. Boal ◽  
Cristina Sollars ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
Killer Cell ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof ◽  
Novel Alleles

scholarly journals High-Throughput Quantitative Profiling of Serum N-Glycome by MALDI-TOF Mass Spectrometry and N-Glycomic Fingerprint of Liver Fibrosis

2007 ◽  
Vol 53 (7) ◽  
pp. 1254-1263 ◽  
Author(s):  
Richard KT Kam ◽  
Terence CW Poon ◽  
Henry LY Chan ◽  
Nathalie Wong ◽  
Alex Y Hui ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liver Fibrosis ◽  
High Throughput ◽  
Quantitative Aspect ◽  
Diagnostic Model ◽  
Maldi Tof Ms ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof ◽  
Ishak Score ◽  
Tof Ms

Abstract Background: The use of MALDI-TOF mass spectrometry (MS) in quantitative glycan profiling has not been reported. In this study, we attempted to establish a high-throughput quantitative assay for profiling serum N-glycome, and we applied the new assay to identifying serum N-glycans for diagnosis of liver fibrosis and cirrhosis. Methods: N-glycans from whole serum proteins in 2 μL serum were released by enzymatic digestion, cleaned up by hydrophilic chromatography, and subsequently quantitatively profiled with a linear MALDI-TOF MS system, which was originally designed for quantitative proteomic profiling. Serum N-glycome profiles from 46 patients with chronic hepatitis B infection and with different degrees of liver fibrosis were examined. Results: The intra- and interassay CVs of peak intensities of the standard N-glycans were <8% and <17%, respectively. When the assay was applied to the analysis of serum N-glycome profiles, 17 peaks were found to be potential biomarkers for detection of liver fibrosis/cirrhosis. Linear regression analysis revealed that 4 peaks of 1341.5, 1829.7, 1933.3, and 2130.3 m/z (all P <0.005) had complementary value in detecting liver fibrosis and included them, but not any serological markers, in the diagnostic model. Leave-one-out cross-validation showed the diagnostic model could identify significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5), both at 85% accuracy. Conclusion: This is the first study to illustrate the quantitative aspect of MALDI-TOF MS in N-glycome profiling and the first study to reveal the potential value of the serum N-glycan profile for identifying liver fibrosis.

SNP Genotyping by MALDI-TOF Mass Spectrometry

2001 ◽  
pp. 16-32 ◽  
Author(s):  
L. A. Haff ◽  
A. C. Belden ◽  
L. R. Hall ◽  
P. L. Ross ◽  
I. P. Smirnov
Keyword(s):  
Mass Spectrometry ◽  
Snp Genotyping ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof
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