NDLI: A metabolomic and multivariate statistical process to assess the effects of genotoxins in Saccharomycescerevisiae

Please wait, while we are loading the content...

Amidoligases with ATP-grasp, glutamine synthetase-like and acetyltransferase-like domains: synthesis of novel metabolites and peptide modifications of proteins

Integration of signals from the B-cell antigen receptor and the IL-4 receptor leads to a cooperative shift in the cellular response axis

Predicting essential genes based on network and sequence analysis

Coding DNA repeated throughout intergenic regions of the Arabidopsis thaliana genome: evolutionary footprints of RNA silencing

Analysis of structured and intrinsically disordered regions of transmembrane proteins

Genome-wide analysis predicts DNA structural motifs as nucleosome exclusion signals

Stable G-quadruplexes are found outside nucleosome-bound regions

A dependency graph approach for the analysis of differential gene expression profiles

A network-based method for predicting gene–nutrient interactions and its application to yeast amino-acid metabolism

Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis

Unraveling the potential of intrinsically disordered proteins as drug targets: application to Mycobacterium tuberculosis

Relative stability of DNA as a generic criterion for promoter prediction: whole genome annotation of microbial genomes with varying nucleotide base composition

Towards inferring time dimensionality in protein–protein interaction networks by integrating structures: the p53 example

Energy based approach for understanding the recognition mechanism in protein–protein complexes

Modular logical modelling of the budding yeast cell cycle

Dissection of USP catalytic domains reveals five common insertion points

Signaling network analysis of ubiquitin-mediated proteins suggests correlations between the 26S proteasome and tumor progression

Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development

A c-Myc regulatory subnetwork from human transposable element sequences

Inferring the transcriptional network of Bacillus subtilis

Signal amplification in a lattice of coupled protein kinases

Ligand dependent intra and inter subunit communication in human tryptophanyl tRNA synthetase as deduced from the dynamics of structure networks

Correlation between mRNA expression levels and protein aggregation propensities in subcellular localisations

Molecular modeling and docking studies of human 5-hydroxytryptamine 2A (5-HT_2A) receptor for the identification of hotspots for ligand binding

An integrative approach towards completing genome-scale metabolic networks

DNA supercoiling regulates the stress-inducible expression of genes in the cyanobacterium Synechocystis

A metabolomic and multivariate statistical process to assess the effects of genotoxins in Saccharomycescerevisiae

The ABC of reverse engineering biological signalling systems

Prediction of conditional gene essentiality through graph theoretical analysis of genome-wide functional linkages

A global view of Escherichia coli Rsd protein and its interactions

Back matter

Back cover

Molecular BioSystems Vol - 5 Issue - 9

Molecular BioSystems Vol - 5 Issue - 8

Molecular BioSystems Vol - 5 Issue - 7

Molecular BioSystems Vol - 5 Issue - 6

Molecular BioSystems Vol - 5 Issue - 5

Molecular BioSystems Vol - 5 Issue - 4

Molecular BioSystems Vol - 5 Issue - 3

Molecular BioSystems Vol - 5 Issue - 2

Molecular BioSystems Vol -4

Molecular BioSystems Vol -3

Molecular BioSystems Vol -2

A metabolomic and multivariate statistical process to assess the effects of genotoxins in Saccharomycescerevisiae

Content Provider	Royal Society of Chemistry (RSC)
Author	Titman, Christopher M. Scott, Andrew D. Carmichael, Paul L. Oliver, Stephen G. Griffin, Julian L. Downs, Jessica A.
Copyright Year	2009
Abstract	There is an increased need to develop robust cellular model systems which could replace or reduce the need for animals in toxicological testing. Current in vitro strategies for genotoxicity testing suffer from a high irrelevant positive rate, requiring the need for the development of new in vitro tools. Saccharomyces cerevisiae is used widely to study DNA damage and repair, and a high-throughput green fluorescent protein based assay has been developed to detect genotoxic-induced DNA damage. In this study a combined high resolution 1H NMR spectroscopy and gas chromatography mass spectrometry based metabolomic approach has been used to monitor and distinguish different genotoxic compounds from other types of toxic lesion using the multivariate classification tool partial least squares-discriminate analysis (PLS-DA). The metabolic profiles of extracts of yeast (W303α strain) readily distinguished the individual toxins from control cells across 22 different treatments. In addition, these metabolic profiles also demonstrated dose and time responses for selected compounds (methyl methane sulfonate and nocodazole). Finally, predictive models were built for distinguishing the genotoxic carcinogens from the control group according to the metabolic profile of the cell culture media.
Starting Page	1913
Ending Page	1924
Page Count	12
File Format	HTM / HTML PDF
ISSN	1742206X
Volume Number	5
Issue Number	12
Journal	Molecular BioSystems
DOI	10.1039/b907754e
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Methane Gas chromatography Metabolomics Nocodazole Cell culture DNA Genotoxicity Green fluorescent protein Nuclear magnetic resonance spectroscopy Lesion Saccharomyces cerevisiae Mass spectrometry
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Biotechnology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comparative metabolomic analysis of Saccharomyces cerevisiae during the degradation of patulin using gas chromatography–mass spectrometry

Different-batch metabolome analysis of Saccharomyces cerevisiae based on gas chromatography/mass spectrometry.

Metabolomic approach for improving ethanol stress tolerance in Saccharomyces cerevisiae.

Novel Strategy for Non-Targeted Isotope-Assisted Metabolomics by Means of Metabolic Turnover and Multivariate Analysis

Current metabolomics: technological advances.

Metabolomic Analysis of Gingival Crevicular Fluid Using Gas Chromatography/Mass Spectrometry.

Metabolomics of developing zebrafish embryos using gas chromatography- and liquid chromatography-mass spectrometry

Metabolic responses to Lactobacillus plantarum contamination or bacteriophage treatment in Saccharomyces cerevisiae using a GC-MS-based metabolomics approach.

Highly sensitive and selective analysis of widely targeted metabolomics using gas chromatography/triple-quadrupole mass spectrometry.

A metabolomic and multivariate statistical process to assess the effects of genotoxins in Saccharomycescerevisiae

Similar Documents

Comparative metabolomic analysis of Saccharomyces cerevisiae during the degradation of patulin using gas chromatography–mass spectrometry

Different-batch metabolome analysis of Saccharomyces cerevisiae based on gas chromatography/mass spectrometry.

Metabolomic approach for improving ethanol stress tolerance in Saccharomyces cerevisiae.

Novel Strategy for Non-Targeted Isotope-Assisted Metabolomics by Means of Metabolic Turnover and Multivariate Analysis

Current metabolomics: technological advances.

Metabolomic Analysis of Gingival Crevicular Fluid Using Gas Chromatography/Mass Spectrometry.

Metabolomics of developing zebrafish embryos using gas chromatography- and liquid chromatography-mass spectrometry

Metabolic responses to Lactobacillus plantarum contamination or bacteriophage treatment in Saccharomyces cerevisiae using a GC-MS-based metabolomics approach.

Highly sensitive and selective analysis of widely targeted metabolomics using gas chromatography/triple-quadrupole mass spectrometry.

A metabolomic and multivariate statistical process to assess the effects of genotoxins in Saccharomycescerevisiae