Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118420
Title: Nutrilyzer : a tool for deciphering atomic stoichiometry of differentially expressed paralogous proteins
Author(s): Lotz, KatrinLook up in the Integrated Authority File of the German National Library
Schreiber, FalkLook up in the Integrated Authority File of the German National Library
Wünschiers, RöbbeLook up in the Integrated Authority File of the German National Library
Issue Date: 2012
Type: Article
Language: English
Abstract: Organisms try to maintain homeostasis by balanced uptake of nutrients from their envi- ronment. From an atomic perspective this means that, for example, carbon:nitrogen:sulfur ratios are kept within given limits. Upon limitation of, for example, sulfur, its acquisition is triggered. For yeast it was shown that transporters and enzymes involved in sulfur up- take are encoded as paralogous genes that express different isoforms. Sulfur deprivation leads to up-regulation of isoforms that are poor in sulfur-containing amino acids, that is, methinone and cysteine. Accordingly, sulfur-rich isoforms are down-regulated. We developed a web-based software, doped Nutrilyzer, that extracts paralogous protein coding sequences from an annotated genome sequence and evaluates their atomic compo- sition. When fed with gene-expression data for nutrient limited and normal conditions, Nutrilyzer provides a list of genes that are significantly differently expressed and simul- taneously contain significantly different amounts of the limited nutrient in their atomic composition. Its intended use is in the field of ecological stoichiometry. Nutrilyzer is available at http://nutrilyzer.hs-mittweida.de. Here we describe the work flow and results with an example from a whole-genome Ara- bidopsis thaliana gene-expression analysis upon oxygen deprivation. 43 paralogs dis- tributed over 37 homology clusters were found to be significantly differently expressed while containing significantly different amounts of oxygen.
URI: https://opendata.uni-halle.de//handle/1981185920/120379
http://dx.doi.org/10.25673/118420
Open Access: Open access publication
License: (CC BY-NC-ND 4.0) Creative Commons Attribution NonCommercial NoDerivatives 4.0(CC BY-NC-ND 4.0) Creative Commons Attribution NonCommercial NoDerivatives 4.0
Journal Title: Journal of integrative bioinformatics
Publisher: Walter de Gruyter GmbH
Publisher Place: Berlin
Volume: 9
Issue: 2
Original Publication: 10.1515/jib-2012-196
Page Start: 1
Page End: 7
Appears in Collections:Open Access Publikationen der MLU

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