Literature DB >> 24412000

A fully automated dual-online multifunctional ultrahigh pressure liquid chromatography system for high-throughput proteomics analysis.

Hangyeore Lee1, Jung Hwa Lee2, Hokeun Kim3, Su-Jin Kim4, Jingi Bae5, Hark Kyun Kim6, Sang-Won Lee7.   

Abstract

A fully automated dual-online multifunctional ultrahigh pressure liquid chromatography (DO-MULTI-UPLC) system has been developed for high throughput proteome analyses of complex peptide mixtures. The system employs two online solid phase extraction (SPE) columns (150μm inner diameter×3cm), two capillary reverse phase (RP) columns (75μm×100cm) and a strong cation exchange (SCX) column (150μm×15cm) on a single system utilizing one binary pump and one isocratic pump. With the automated operation of six switching valves, the selection of LC experiments between single-dimensional RPLC and online two-dimensional SCX/RPLC were achieved automatically, without manual intervention, while two RPLC columns were used independently and alternatively. By essentially removing the dead time for column equilibration between experiments, in either 1D mode or 2D experimental mode, the current system was demonstrated to increase the experimental throughput by about two folds, while keeping the inter-column reproducibility of peptide elution time in less than 1% of gradient time. The advantageous features of the proposed system were demonstrated by its application to proteome samples of varying complexities.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  Bottom-up proteomics; Dual-online LC; Multidimensional separation; Tandem mass spectrometry

Mesh:

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Year:  2014        PMID: 24412000     DOI: 10.1016/j.chroma.2013.12.084

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

1.  Online Peptide fractionation using a multiphasic microfluidic liquid chromatography chip improves reproducibility and detection limits for quantitation in discovery and targeted proteomics.

Authors:  Christoph Krisp; Hao Yang; Remco van Soest; Mark P Molloy
Journal:  Mol Cell Proteomics       Date:  2015-04-07       Impact factor: 5.911

2.  Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate.

Authors:  Hangyeore Lee; Sehyun Chae; Jisook Park; Jingi Bae; Eun-Bi Go; Su-Jin Kim; Hokeun Kim; Daehee Hwang; Sang-Won Lee; Soo-Youn Lee
Journal:  Mol Cell Proteomics       Date:  2016-09-06       Impact factor: 5.911

3.  Quantitative Proteomics Reveals β2 Integrin-mediated Cytoskeletal Rearrangement in Vascular Endothelial Growth Factor (VEGF)-induced Retinal Vascular Hyperpermeability.

Authors:  Dong Hyun Jo; Jingi Bae; Sehyun Chae; Jin Hyoung Kim; Jong-Hee Han; Daehee Hwang; Sang-Won Lee; Jeong Hun Kim
Journal:  Mol Cell Proteomics       Date:  2016-03-11       Impact factor: 5.911

4.  Label-Free Profiling of up to 200 Single-Cell Proteomes per Day Using a Dual-Column Nanoflow Liquid Chromatography Platform.

Authors:  Kei G I Webber; Thy Truong; S Madisyn Johnston; Sebastian E Zapata; Yiran Liang; Jacob M Davis; Alexander D Buttars; Fletcher B Smith; Hailey E Jones; Arianna C Mahoney; Richard H Carson; Andikan J Nwosu; Jacob L Heninger; Andrey V Liyu; Gregory P Nordin; Ying Zhu; Ryan T Kelly
Journal:  Anal Chem       Date:  2022-04-06       Impact factor: 8.008

5.  Label-Free Quantitative Proteome Profiling of Cerebrospinal Fluid from a Rat Stroke Model with Stem Cell Therapy.

Authors:  Junseok W Hur; Min-Sik Kim; Se-Yeon Oh; Ho-Young Kang; Jingi Bae; Hokeun Kim; Hangyeore Lee; Sang-Won Lee; Dong-Hyuk Park
Journal:  Cell Transplant       Date:  2021 Jan-Dec       Impact factor: 4.064

  5 in total

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