Application of bioinformatics in studies of sphingolipid biosynthesis

The studies in this dissertation demonstrate that the gene expression pathway maps are useful tools to notice alteration in different branches of sphingolipid biosynthesis pathway based on microarray and other transcriptomic analysis. To facilitate the integrative analysis of gene expression and sph...

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Main Author: Momin, Amin Altaf
Published: Georgia Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1853/34842
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-348422013-01-07T20:36:30ZApplication of bioinformatics in studies of sphingolipid biosynthesisMomin, Amin AltafPathway analysisPathway mapsGene expressionMetabolomicsCancerSphingolipidsMetabolismMass spectrometryBiosynthesisEukaryotic cellsProkaryotesBioinformaticsBiology Data processingThe studies in this dissertation demonstrate that the gene expression pathway maps are useful tools to notice alteration in different branches of sphingolipid biosynthesis pathway based on microarray and other transcriptomic analysis. To facilitate the integrative analysis of gene expression and sphingolipid amounts, updated pathway maps were prepared using an open access visualization tool, Pathvisio v1.1. The datasets were formatted using Perl scripts and visualized with the aid of color coded pathway diagrams. Comparative analysis of transcriptomics and sphingolipid alterations from experimental studies and published literature revealed 72.8 % correlation between mRNA and sphingolipid differences (p-value < 0.0001 by the Fisher's exact test).The high correlation between gene expression differences and sphingolipid alterations highlights the application of this tool to evaluate molecular changes associate with sphingolipid alterations as well as predict differences in specific metabolites that can be experimentally verified using sensitive approaches such as mass spectrometry. In addition, bioinformatics sequence analysis was used to identify transcripts for sphingolipid biosynthesis enzyme 3-ketosphinganine reductase, and homology modeling studies helped in the evaluation of a cell line defective in sphingolipid metabolism due to mutation in the enzyme serine palmitoyltransferase, the first enzyme of de novo biosynthesis pathway. Hence, the combination of different bioinformatics approaches, including protein and DNA sequence analysis, structure modeling and pathway diagrams can provide valuable inputs for biochemical and molecular studies of sphingolipid metabolism.Georgia Institute of Technology2010-09-15T19:11:02Z2010-09-15T19:11:02Z2010-05-17Dissertationhttp://hdl.handle.net/1853/34842
collection NDLTD
sources NDLTD
topic Pathway analysis
Pathway maps
Gene expression
Metabolomics
Cancer
Sphingolipids
Metabolism
Mass spectrometry
Biosynthesis
Eukaryotic cells
Prokaryotes
Bioinformatics
Biology Data processing
spellingShingle Pathway analysis
Pathway maps
Gene expression
Metabolomics
Cancer
Sphingolipids
Metabolism
Mass spectrometry
Biosynthesis
Eukaryotic cells
Prokaryotes
Bioinformatics
Biology Data processing
Momin, Amin Altaf
Application of bioinformatics in studies of sphingolipid biosynthesis
description The studies in this dissertation demonstrate that the gene expression pathway maps are useful tools to notice alteration in different branches of sphingolipid biosynthesis pathway based on microarray and other transcriptomic analysis. To facilitate the integrative analysis of gene expression and sphingolipid amounts, updated pathway maps were prepared using an open access visualization tool, Pathvisio v1.1. The datasets were formatted using Perl scripts and visualized with the aid of color coded pathway diagrams. Comparative analysis of transcriptomics and sphingolipid alterations from experimental studies and published literature revealed 72.8 % correlation between mRNA and sphingolipid differences (p-value < 0.0001 by the Fisher's exact test).The high correlation between gene expression differences and sphingolipid alterations highlights the application of this tool to evaluate molecular changes associate with sphingolipid alterations as well as predict differences in specific metabolites that can be experimentally verified using sensitive approaches such as mass spectrometry. In addition, bioinformatics sequence analysis was used to identify transcripts for sphingolipid biosynthesis enzyme 3-ketosphinganine reductase, and homology modeling studies helped in the evaluation of a cell line defective in sphingolipid metabolism due to mutation in the enzyme serine palmitoyltransferase, the first enzyme of de novo biosynthesis pathway. Hence, the combination of different bioinformatics approaches, including protein and DNA sequence analysis, structure modeling and pathway diagrams can provide valuable inputs for biochemical and molecular studies of sphingolipid metabolism.
author Momin, Amin Altaf
author_facet Momin, Amin Altaf
author_sort Momin, Amin Altaf
title Application of bioinformatics in studies of sphingolipid biosynthesis
title_short Application of bioinformatics in studies of sphingolipid biosynthesis
title_full Application of bioinformatics in studies of sphingolipid biosynthesis
title_fullStr Application of bioinformatics in studies of sphingolipid biosynthesis
title_full_unstemmed Application of bioinformatics in studies of sphingolipid biosynthesis
title_sort application of bioinformatics in studies of sphingolipid biosynthesis
publisher Georgia Institute of Technology
publishDate 2010
url http://hdl.handle.net/1853/34842
work_keys_str_mv AT mominaminaltaf applicationofbioinformaticsinstudiesofsphingolipidbiosynthesis
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