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Sökning: WFRF:(Sweedler Jonathan) > Medicin och hälsovetenskap

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1.
  • Akhtar, Malik N., et al. (författare)
  • Identification of best indicators of peptide-spectrum match using a permutation resampling approach
  • 2014
  • Ingår i: Journal of Bioinformatics and Computational Biology. - 0219-7200 .- 1757-6334. ; 12:5, s. 1440001-
  • Tidskriftsartikel (refereegranskat)abstract
    • Various indicators of observed-theoretical spectrum matches were compared and the resulting statistical significance was characterized using permutation resampling. Novel decoy databases built by resampling the terminal positions of peptide sequences were evaluated to identify the conditions for accurate computation of peptide match significance levels. The methodology was tested on real and manually curated tandem mass spectra from peptides across a wide range of sizes. Spectra match indicators from complementary database search programs were pro filed and optimal indicators were identified. The combination of the optimal indicator and permuted decoy databases improved the calculation of the peptide match significance compared to the approaches currently implemented in the database search programs that rely on distributional assumptions. Permutation tests using p-values obtained from software-dependent matching scores and E-values outperformed permutation tests using all other indicators. The higher overlap in matches between the database search programs when using end permutation compared to existing approaches con firmed the superiority of the end permutation method to identify peptides. The combination of effective match indicators and the end permutation method is recommended for accurate detection of peptides.
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2.
  • Svensson, Marcus, 1972- (författare)
  • Neuropeptidomics – Expanding Proteomics Downwards
  • 2007
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Biological function is mainly carried out by a dynamic population of proteins which may be used as markers for disease diagnosis, prognosis, and as a guide for effective treatment. In analogy to genomics, the study of proteins is called proteomics and it is generally performed by two-dimensional gel electrophoresis and mass spectrometric methods. However, gel based proteomics is methodologically restricted from the low mass region which includes important endogenous peptides. Furthermore, the study of endogenous peptides, peptidomics, is compromised by protein fragments produced post mortem during conventional sample handling. In this thesis nanoflow liquid chromatography and mass spectrometry have been used together with improved methods for sample preparation to semi-quantitatively monitor peptides in brain tissue. The proteolysis of proteins and rise of fragments in the low mass region was studied in a time-course study up to ten minutes, where a potential marker for sample quality was found. When rapidly denatured brain tissue was analyzed, the methods enabled detection of hundreds of peptides and identifications of several endogenous peptides not previously described in the literature. The identification process of endogenous peptides has been improved by creating small targeted sequence collections from existing databases. In applications of the MPTP model for Parkinson’s disease the protein and peptide expressions were compared to controls. Several proteins were significantly changed belonging to groups of mitochondrial, cytoskeletal, and vesicle associated proteins. In the peptidomic study, the levels of the small protein PEP-19 was found to be significantly decreased in the striatum of MPTP administered animals. Using imaging mass spectrometry the spatial distribution of PEP-19 was found to be predominant in the striatum and the levels were concordantly decreased in the parkinsonian tissue as verified by immunoblotting.
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