Literature DB >> 15264426

MALDI: more than peptide mass fingerprints.

Kai Stühler1, Helmut E Meyer.   

Abstract

Over the past decade, matrix-assisted laser desorption/ionization (MALDI) has developed from a phenomenon that was interesting only to physicists and mass spectrometrists, and has evolved into a widespread applied ionization technique in chemistry, biology and biomedicine. The introduction of MALDI offers all the advantages of mass spectrometry (MS) for the analysis of large biomolecules. Proteins, carbohydrates and oligonucleotides have been analyzed with MS-inherent accuracy, sensitivity, resolution and speed. In addition to electrospray ionization-MS, MALDI-MS has a great impact on the challenges of the post-genome area. The recent status of MALDI application in proteomics, biomolecular interaction analysis-MS and carbohydrate analysis, in addition to single nucleotide polymorphism genotyping is reviewed.

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Year:  2004        PMID: 15264426

Source DB:  PubMed          Journal:  Curr Opin Mol Ther        ISSN: 1464-8431


  4 in total

Review 1.  Targeted delivery with peptidomimetic conjugated self-assembled nanoparticles.

Authors:  Esmaiel Jabbari
Journal:  Pharm Res       Date:  2008-12-17       Impact factor: 4.200

Review 2.  Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2003-2004.

Authors:  David J Harvey
Journal:  Mass Spectrom Rev       Date:  2009 Mar-Apr       Impact factor: 10.946

Review 3.  Enhanced MALDI-TOF MS analysis of phosphopeptides using an optimized DHAP/DAHC matrix.

Authors:  Junjie Hou; Zhensheng Xie; Peng Xue; Ziyou Cui; Xiulan Chen; Jing Li; Tanxi Cai; Peng Wu; Fuquan Yang
Journal:  J Biomed Biotechnol       Date:  2010-03-21

4.  Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.

Authors:  Tim O F Conrad; Martin Genzel; Nada Cvetkovic; Niklas Wulkow; Alexander Leichtle; Jan Vybiral; Gitta Kutyniok; Christof Schütte
Journal:  BMC Bioinformatics       Date:  2017-03-09       Impact factor: 3.169

  4 in total

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