scholarly journals Multiplexed Immunoassay: Quantitation and Profiling of Serum Biomarkers Using Magnetic Nanoprobes and MALDI-TOF MS

2008 ◽  
Vol 80 (16) ◽  
pp. 6159-6167 ◽  
Author(s):  
Kai-Yi Wang ◽  
Szu-An Chuang ◽  
Po-Chiao Lin ◽  
Li-Shing Huang ◽  
Shu-Hua Chen ◽  
...  
Keyword(s):  
Serum Biomarkers ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Multiplexed Immunoassay ◽  
Tof Ms

Evaluation of novel serum biomarkers and the proteomic differences of endometriosis and adenomyosis using MALDI-TOF–MS

2013 ◽  
Vol 288 (1) ◽  
pp. 201-205 ◽  
Author(s):  
Xiaoyu Long ◽  
Ping Jiang ◽  
Liane Zhou ◽  
Weiyuan Zhang
Keyword(s):  
Serum Biomarkers ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

scholarly journals Two Classifiers Based on Serum Peptide Pattern for Prediction of HBV-Induced Liver Cirrhosis Using MALDI-TOF MS

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yuan Cao ◽  
Kun He ◽  
Ming Cheng ◽  
Hai-Yan Si ◽  
He-Lin Zhang ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Reference Method ◽  
Invasive Procedure ◽  
Serum Biomarkers ◽  
Supervised Machine Learning ◽  
Support Vector ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Peptide Pattern ◽  
Tof Ms

Chronic infection with hepatitis B virus (HBV) is associated with the majority of cases of liver cirrhosis (LC) in China. Although liver biopsy is the reference method for evaluation of cirrhosis, it is an invasive procedure with inherent risk. The aim of this study is to discover novel noninvasive specific serum biomarkers for the diagnosis of HBV-induced LC. We performed bead fractionation/MALDI-TOF MS analysis on sera from patients with LC. Thirteen feature peaks which had optimal discriminatory performance were obtained by using support-vector-machine-(SVM-) based strategy. Based on the previous results, five supervised machine learning methods were employed to construct classifiers that discriminated proteomic spectra of patients with HBV-induced LC from those of controls. Here, we describe two novel methods for prediction of HBV-induced LC, termed LC-NB and LC-MLP, respectively. We obtained a sensitivity of 90.9%, a specificity of 94.9%, and overall accuracy of 93.8% on an independent test set. Comparisons with the existing methods showed that LC-NB and LC-MLP held better accuracy. Our study suggests that potential serum biomarkers can be determined for discriminating LC and non-LC cohorts by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. These two classifiers could be used for clinical practice in HBV-induced LC assessment.

Identification of serum biomarkers for ovarian cancer using MALDI–TOF-MS combined with magnetic beads

2011 ◽  
Vol 17 (2) ◽  
pp. 89-95 ◽  
Author(s):  
Shengjun Wu ◽  
Kai Xu ◽  
Guang Chen ◽  
Jun Zhang ◽  
Zhiwei Liu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Magnetic Beads ◽  
Serum Biomarkers ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

895: Proteomic Analysis of Sera from Bladder Cancer Patients with MALDI-TOF-MS

2007 ◽  
Vol 177 (4S) ◽  
pp. 297-297
Author(s):  
Kristina Schwamborn ◽  
Rene Krieg ◽  
Ruth Knüchel-Clarke ◽  
Joachim Grosse ◽  
Gerhard Jakse
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Proteomic Analysis ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

HPTLC-MALDI/TOF/MS vs. HPLC-ESI/MS2 for identification to flavonoids in plant extracts

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
L Fougère ◽  
D Da Silva ◽  
E Destandau ◽  
C Elfakir
Keyword(s):  
Plant Extracts ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

Infektionserreger beim Schwein – Analyse des kultivierbaren Mikrobioms mittels MALDI-TOF MS

2017 ◽  
Author(s):  
M Erhard ◽  
M Metzner ◽  
D Köhler-Repp ◽  
B Köhler ◽  
R Storandt
Keyword(s):  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

Quantitative metabolomics of Iranian saffron based on their HPLC-DAD and MALDI-TOF-MS

2019 ◽  
Author(s):  
M Hooshyari ◽  
H Rezadoost ◽  
P Ghezellou ◽  
A Ghassempour
Keyword(s):  
Maldi Tof Ms ◽  
Quantitative Metabolomics ◽  
Maldi Tof ◽  
Tof Ms
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