Literature DB >> 17309056

Ultrahigh-pressure dual online solid phase extraction/capillary reverse-phase liquid chromatography/tandem mass spectrometry (DO-SPE/cRPLC/MS/MS): a versatile separation platform for high-throughput and highly sensitive proteomic analyses.

Hye-Ki Min1, Seok-Won Hyung, Joong-Won Shin, Hui-Sun Nam, Sung-Hyun Ahn, Hee Jung Jung, Sang-Won Lee.   

Abstract

Capillary RPLC/ESI-MS (cRPLC/ESI-MS) is one of the most powerful analytical tools for current proteomic research. The development of cRPLC techniques coupled online to a mass spectrometer has focused on increasing the separation efficiency, detection sensitivity, and throughput. Recently, the use of high-pressure (over 10,000 psi) LC systems that utilize long, small inner diameter capillary columns has gained much attention for proteomic analyses. In this study, we developed an ultrahigh-pressure dual online SPE/capillary RPLC (DO-SPE/cRPLC) system. This LC system employs two online SPE columns and two capillary columns (75 microm inner diameter x 1 m length) in a single separation system, and has a maximum operating pressure of 10,000 psi. This DO-SPE/cRPLC system is capable of providing high-resolution separation in addition to several other advantageous features, such as high reproducibility in terms of the LC retention time, rapid sample injection, online desalting, online sample enrichment of dilute samples, and increased throughput as a result of essentially removing the column equilibration time between successive experiments. We coupled the DO-SPE/cRPLC system online to a tandem mass spectrometer to allow high-throughput proteomic analyses. In this paper, we demonstrate the efficiency of this DO-SPE/cRPLC/MS/MS system by its use in the analyses of proteomic samples exhibiting different levels of complexity.

Mesh:

Year:  2007        PMID: 17309056     DOI: 10.1002/elps.200600501

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  6 in total

1.  Pressurized pepsin digestion in proteomics: an automatable alternative to trypsin for integrated top-down bottom-up proteomics.

Authors:  Daniel López-Ferrer; Konstantinos Petritis; Errol W Robinson; Kim K Hixson; Zhixin Tian; Jung Hwa Lee; Sang-Won Lee; Nikola Tolić; Karl K Weitz; Mikhail E Belov; Richard D Smith; Ljiljana Pasa-Tolić
Journal:  Mol Cell Proteomics       Date:  2010-07-12       Impact factor: 5.911

2.  Fully automated multifunctional ultrahigh pressure liquid chromatography system for advanced proteome analyses.

Authors:  Jung Hwa Lee; Seok-Won Hyung; Dong-Gi Mun; Hee-Jung Jung; Hokeun Kim; Hangyeore Lee; Su-Jin Kim; Kyong Soo Park; Ronald J Moore; Richard D Smith; Sang-Won Lee
Journal:  J Proteome Res       Date:  2012-07-05       Impact factor: 4.466

3.  Integrated post-experiment monoisotopic mass refinement: an integrated approach to accurately assign monoisotopic precursor masses to tandem mass spectrometric data.

Authors:  Hee-Jung Jung; Samuel O Purvine; Hokeun Kim; Vladislav A Petyuk; Seok-Won Hyung; Matthew E Monroe; Dong-Gi Mun; Kyong-Chul Kim; Jong-Moon Park; Su-Jin Kim; Nikola Tolic; Gordon W Slysz; Ronald J Moore; Rui Zhao; Joshua N Adkins; Gordon A Anderson; Hookeun Lee; David G Camp; Myeong-Hee Yu; Richard D Smith; Sang-Won Lee
Journal:  Anal Chem       Date:  2010-10-15       Impact factor: 6.986

4.  A serum protein profile predictive of the resistance to neoadjuvant chemotherapy in advanced breast cancers.

Authors:  Seok-Won Hyung; Min Young Lee; Jong-Han Yu; Byunghee Shin; Hee-Jung Jung; Jong-Moon Park; Wonshik Han; Kyung-Min Lee; Hyeong-Gon Moon; Hui Zhang; Ruedi Aebersold; Daehee Hwang; Sang-Won Lee; Myeong-Hee Yu; Dong-Young Noh
Journal:  Mol Cell Proteomics       Date:  2011-07-28       Impact factor: 5.911

5.  Nanoflow low pressure high peak capacity single dimension LC-MS/MS platform for high-throughput, in-depth analysis of mammalian proteomes.

Authors:  Feng Zhou; Yu Lu; Scott B Ficarro; James T Webber; Jarrod A Marto
Journal:  Anal Chem       Date:  2012-05-10       Impact factor: 6.986

6.  Outlier detection using projection quantile regression for mass spectrometry data with low replication.

Authors:  Soo-Heang Eo; Daewoo Pak; Jeea Choi; HyungJun Cho
Journal:  BMC Res Notes       Date:  2012-05-15
  6 in total

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