Literature DB >> 17681498

On-line capillary column immobilised metal affinity chromatography/electrospray ionisation mass spectrometry for the selective analysis of histidine-containing peptides.

Gushinder Kaur-Atwal1, Daniel J Weston, Philip S Green, Susan Crosland, Philip L R Bonner, Colin S Creaser.   

Abstract

Capillary column immobilised metal affinity chromatography (IMAC) has been combined on-line with electrospray ionisation/quadrupole time-of-flight mass spectrometry for the fractionation of histidine-containing peptides. IMAC beads (Poros 20MC, 20 microm) containing imidodiacetate chelating groups on a cross-linked poly(styrene-divinylbenzene) support were packed into a fused silica column (250 microm i.d.), which was interfaced to the electrospray ion source of the spectrometer. A Cu(II) activated column was used to isolate histidine-containing peptides from tryptic and other peptide mixtures with an average breakthrough of 9.1%, to reduce the complexity of the mass spectral analysis. The analysis cycle time was reduced to less than 15 min, at an optimum flow rate of 7.5 microL/min, without sacrificing peptide selectivity. Direct coupling of capillary IMAC with MS allows on-line separation, using MS compatible loading and elution buffers, and detection in a high-throughput fashion when compared to off-line strategies.

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Year:  2007        PMID: 17681498     DOI: 10.1016/j.jchromb.2007.07.025

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  3 in total

Review 1.  Multi-dimensional liquid chromatography in proteomics--a review.

Authors:  Xiang Zhang; Aiqin Fang; Catherine P Riley; Mu Wang; Fred E Regnier; Charles Buck
Journal:  Anal Chim Acta       Date:  2010-02-06       Impact factor: 6.558

2.  Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model.

Authors:  Suresh Kumar
Journal:  Genomics Inform       Date:  2017-12-29

3.  Prediction of Metal Ion Binding Sites of Transmembrane Proteins.

Authors:  Jing Qu; Sheng S Yin; Han Wang
Journal:  Comput Math Methods Med       Date:  2021-10-22       Impact factor: 2.238

  3 in total

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