Literature DB >> 15450932

Detection and analysis of the cyanobacterial peptide hepatotoxins microcystin and nodularin using SELDI-TOF mass spectrometry.

Moucun Yuan1, Wayne W Carmichael.   

Abstract

Surface-enhanced laser desorption ionization mass spectrometry (SELDI-TOFMS) was used to develop a new and useful method for determination and identification of the cyanobacterial (blue-green algae) toxins: microcystin and nodularin. The technique, combining chromatography and MS, enables microcystin/nodularin capture, purification, analysis, and processing from complex biological mixtures directly onto a hydrophobic chip. Factors affecting ion intensities, including matrix concentration and laser intensity, were investigated to optimize sensitivity of the method. Microcystins and nodularin were analyzed for femtomolar sensitivity (about 2.5 pg microcystin-LR in 2 microl water). Samples of blood sera and liver tissue were spiked with microcystin-LR and analyzed. The detection limit was 1 ng in 2 microl blood sera solution. Reactions of microcystins by compounds containing mercaptan groups, such as dithiothreitol, aminoethanethiol and protein phosphatase 1, were examined on the chip by mass spectrometry. Formation of the microcystin-dithiothreitol conjugate was used to confirm the target compounds. The MS/MS data obtained showed the presence of the microcystin conjugate. The reaction position of the toxin with target compound was confirmed by a series of MS/MS fragment ions. The protein profile of microcystins reacting with protein phosphatase 1 was also obtained from the SELDI-TOF mass spectra.

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Year:  2004        PMID: 15450932     DOI: 10.1016/j.toxicon.2004.07.015

Source DB:  PubMed          Journal:  Toxicon        ISSN: 0041-0101            Impact factor:   3.033


  1 in total

1.  Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS).

Authors:  Huixiao Hong; Yvonne Dragan; Joshua Epstein; Candee Teitel; Bangzheng Chen; Qian Xie; Hong Fang; Leming Shi; Roger Perkins; Weida Tong
Journal:  BMC Bioinformatics       Date:  2005-07-15       Impact factor: 3.169

  1 in total

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