Literature DB >> 23525540

Chip-based nLC-TOF-MS is a highly stable technology for large-scale high-throughput analyses.

L Renee Ruhaak1, Sandra L Taylor, Suzanne Miyamoto, Karen Kelly, Gary S Leiserowitz, David Gandara, Carlito B Lebrilla, Kyoungmi Kim.   

Abstract

Many studies focused on the discovery of novel biomarkers for the diagnosis and treatment of disease states are facilitated by mass spectrometry-based technology. HPLC coupled to mass spectrometry is widely used; miniaturization of this technique using nano-liquid chromatography (LC)-mass spectrometry (MS) usually results in better sensitivity, but is associated with limited repeatability. The recent introduction of chip-based technology has significantly improved the stability of nano-LC-MS, but no substantial studies to verify this have been performed. To evaluate the temporal repeatability of chip-based nano-LC-MS analyses, N-glycans released from a serum sample were repeatedly analyzed using nLC-PGC-chip-TOF-MS on three non-consecutive days. With an average inter-day coefficient of variation of 4 %, determined on log10-transformed integrals, the repeatability of the system is very high. Overall, chip-based nano-LC-MS appears to be a highly stable technology, which is suitable for the profiling of large numbers of clinical samples for biomarker discovery.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23525540      PMCID: PMC3640767          DOI: 10.1007/s00216-013-6908-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  19 in total

1.  N-Glycan profiling of dried blood spots.

Authors:  L Renee Ruhaak; Suzanne Miyamoto; Karen Kelly; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2011-12-19       Impact factor: 6.986

2.  Influence of sample storage duration on serum protein profiles assessed by surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS).

Authors:  Marie-Christine W Gast; Carla H van Gils; Lodewijk F A Wessels; Nathan Harris; Johannes M G Bonfrer; Emiel J Th Rutgers; Jan H M Schellens; Jos H Beijnen
Journal:  Clin Chem Lab Med       Date:  2009       Impact factor: 3.694

3.  Predictive biomarkers in the development of oncology drugs: a therapeutic industry perspective.

Authors:  B M Fine; L Amler
Journal:  Clin Pharmacol Ther       Date:  2009-03-18       Impact factor: 6.875

Review 4.  Applications of mass spectrometry to metabolomics and metabonomics: detection of biomarkers of aging and of age-related diseases.

Authors:  Robert J Mishur; Shane L Rea
Journal:  Mass Spectrom Rev       Date:  2011-04-28       Impact factor: 10.946

5.  Quality control in LC-MS/MS.

Authors:  Thomas Köcher; Peter Pichler; Remco Swart; Karl Mechtler
Journal:  Proteomics       Date:  2011-02-07       Impact factor: 3.984

6.  Lung cancer signatures in plasma based on proteome profiling of mouse tumor models.

Authors:  Ayumu Taguchi; Katerina Politi; Sharon J Pitteri; William W Lockwood; Vitor M Faça; Karen Kelly-Spratt; Chee-Hong Wong; Qing Zhang; Alice Chin; Kwon-Sik Park; Gary Goodman; Adi F Gazdar; Julien Sage; Daniela M Dinulescu; Raju Kucherlapati; Ronald A Depinho; Christopher J Kemp; Harold E Varmus; Samir M Hanash
Journal:  Cancer Cell       Date:  2011-09-13       Impact factor: 31.743

7.  Chip-based reversed-phase liquid chromatography-mass spectrometry of permethylated N-linked glycans: a potential methodology for cancer-biomarker discovery.

Authors:  William R Alley; Milan Madera; Yehia Mechref; Milos V Novotny
Journal:  Anal Chem       Date:  2010-06-15       Impact factor: 6.986

8.  Comprehensive native glycan profiling with isomer separation and quantitation for the discovery of cancer biomarkers.

Authors:  Serenus Hua; Hyun Joo An; Sureyya Ozcan; Grace S Ro; Stephanie Soares; Ralph DeVere-White; Carlito B Lebrilla
Journal:  Analyst       Date:  2011-07-21       Impact factor: 4.616

9.  Human serum processing and analysis methods for rapid and reproducible N-glycan mass profiling.

Authors:  Scott R Kronewitter; Maria Lorna A de Leoz; Kyle S Peacock; Kelly R McBride; Hyun Joo An; Suzanne Miyamoto; Gary S Leiserowitz; Carlito B Lebrilla
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

10.  The development of retrosynthetic glycan libraries to profile and classify the human serum N-linked glycome.

Authors:  Scott R Kronewitter; Hyun Joo An; Maria Lorna de Leoz; Carlito B Lebrilla; Suzanne Miyamoto; Gary S Leiserowitz
Journal:  Proteomics       Date:  2009-06       Impact factor: 3.984

View more
  21 in total

1.  Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach.

Authors:  L Veillon; S Zhou; Y Mechref
Journal:  Methods Enzymol       Date:  2017-01-09       Impact factor: 1.600

2.  Effects of imputation on correlation: implications for analysis of mass spectrometry data from multiple biological matrices.

Authors:  Sandra L Taylor; L Renee Ruhaak; Karen Kelly; Robert H Weiss; Kyoungmi Kim
Journal:  Brief Bioinform       Date:  2017-03-01       Impact factor: 11.622

3.  Multivariate two-part statistics for analysis of correlated mass spectrometry data from multiple biological specimens.

Authors:  Sandra L Taylor; L Renee Ruhaak; Robert H Weiss; Karen Kelly; Kyoungmi Kim
Journal:  Bioinformatics       Date:  2016-09-04       Impact factor: 6.937

4.  Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer.

Authors:  Suzanne Miyamoto; Carol D Stroble; Sandra Taylor; Qiuting Hong; Carlito B Lebrilla; Gary S Leiserowitz; Kyoungmi Kim; L Renee Ruhaak
Journal:  J Proteome Res       Date:  2017-12-19       Impact factor: 4.466

5.  The Serum Immunoglobulin G Glycosylation Signature of Gastric Cancer.

Authors:  L Renee Ruhaak; Donald A Barkauskas; Javier Torres; Cara L Cooke; Lauren D Wu; Carol Stroble; Sureyya Ozcan; Cynthia C Williams; Margarita Camorlinga; David M Rocke; Carlito B Lebrilla; Jay V Solnick
Journal:  EuPA Open Proteom       Date:  2015-03-01

6.  Enterocyte glycosylation is responsive to changes in extracellular conditions: implications for membrane functions.

Authors:  Dayoung Park; Gege Xu; Mariana Barboza; Ishita M Shah; Maurice Wong; Helen Raybould; David A Mills; Carlito B Lebrilla
Journal:  Glycobiology       Date:  2017-09-01       Impact factor: 4.313

Review 7.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

8.  Differential N-Glycosylation Patterns in Lung Adenocarcinoma Tissue.

Authors:  L Renee Ruhaak; Sandra L Taylor; Carol Stroble; Uyen Thao Nguyen; Evan A Parker; Ting Song; Carlito B Lebrilla; William N Rom; Harvey Pass; Kyoungmi Kim; Karen Kelly; Suzanne Miyamoto
Journal:  J Proteome Res       Date:  2015-09-30       Impact factor: 4.466

9.  Glycoproteomic Analysis of Malignant Ovarian Cancer Ascites Fluid Identifies Unusual Glycopeptides.

Authors:  Suzanne Miyamoto; L Renee Ruhaak; Carol Stroble; Michelle R Salemi; Brett Phinney; Carlito B Lebrilla; Gary S Leiserowitz
Journal:  J Proteome Res       Date:  2016-08-23       Impact factor: 4.466

10.  Detection of milk oligosaccharides in plasma of infants.

Authors:  L Renee Ruhaak; Carol Stroble; Mark A Underwood; Carlito B Lebrilla
Journal:  Anal Bioanal Chem       Date:  2014-07-25       Impact factor: 4.142

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.