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"Methods Mol Biol" Category Publications:

Title Authors PubMed ID
1 Using Models to (Re-)Design Synthetic Circuits. McCallum G, Potvin-Trottier L 33405217
BIOLOGY
2 Computer-Aided Design of Active Pseudoknotted Hammerhead Ribozymes. Najeh S, Zandi K, Djerroud S, Kharma N, Perreault J 32712917
ENCS
3 Metabolomic and lipidomic analyses of chronologically aging yeast. Richard VR, Bourque SD, Titorenko VI 25213255
BIOLOGY
4 A Cell-Free Content Mixing Assay for SNARE-Mediated Multivesicular Body-Vacuole Membrane Fusion. Karim MA, Samyn DR, Brett CL 30317513
BIOLOGY
5 Visualization of SNARE-Mediated Organelle Membrane Hemifusion by Electron Microscopy. Mattie S, Kazmirchuk T, Mui J, Vali H, Brett CL 30317518
BIOLOGY
6 Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics. Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA 28417376
CSFG
7 Isolation and Preparation of Extracellular Proteins from Lignocellulose Degrading Fungi for Comparative Proteomic Studies Using Mass Spectrometry Robert J Gruninger 28417377
CSFG
8 Introduction: Overview of Fungal Genomics. de Vries RP, Grigoriev IV, Tsang A 29876804
CSFG
9 Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing. Bellemare A, John T, Marqueteau S 29876805
CSFG
10 Mass Spectrometry-Based Proteomics Marcos Rafael Di Falco 29876812
CSFG
11 Evolutionary Adaptation to Generate Mutants. de Vries RP, Lubbers R, Patyshakuliyeva A, Wiebenga A, Benoit-Gelber I 29876815
BIOLOGY
12 Manual Gene Curation and Functional Annotation. McDonnell E, Strasser K, Tsang A 29876819
CSFG
13 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes. Reid I 29876820
CSFG
14 Phylogenetic Analysis of Protein Family. Song L, Wu S, Tsang A 29876824
CSFG

 

Title:Metabolomic and lipidomic analyses of chronologically aging yeast.
Authors:Richard VR,  Bourque SD,  Titorenko VI
Link:https://www.ncbi.nlm.nih.gov/pubmed/25213255?dopt=Abstract
DOI:10.1007/978-1-4939-1363-3_21
Publication:Methods in molecular biology (Clifton, N.J.)
Keywords:
PMID:25213255 Category:Methods Mol Biol Date Added:2019-06-20
Dept Affiliation: BIOLOGY
1 Department of Biology, Concordia University, 7141 Sherbrooke Street, West, SP Building, Montreal, QC, Canada, H4B 1R6.

Description:

Metabolomic and lipidomic analyses of chronologically aging yeast.

Methods Mol Biol. 2014;1205:359-73

Authors: Richard VR, Bourque SD, Titorenko VI

Abstract

Metabolomic and lipidomic analyses of yeast cells provide comprehensive empirical datasets for unveiling mechanisms underlying complex biological processes. In this chapter, we describe detailed protocols for using such analyses to study the age-related dynamics of changes in intracellular and extracellular levels of various metabolites and membrane lipids in chronologically aging yeast. The protocols for the following high-throughput analyses are described: (1) microanalytic biochemical assays for monitoring intracellular concentrations of trehalose and glycogen; (2) gas chromatographic quantitative assessment of extracellular concentrations of ethanol and acetic acid; and (3) mass spectrometric identification and quantitation of the entire complement of cellular lipids. These protocols are applicable to the exploration of the metabolic patterns associated not only with aging but also with many other vital processes in yeast. The described here methodology complements the powerful genetic approaches available for mechanistic studies of fundamental aspects of yeast biology.

PMID: 25213255 [PubMed - indexed for MEDLINE]




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