Keyword search (4,164 papers available)

"Titorenko VI" Authored Publications:

Title Authors PubMed ID
1 Diverse geroprotectors differently affect a mechanism linking cellular aging to cellular quiescence in budding yeast Leonov A; Feldman R; Piano A; Arlia-Ciommo A; Junio JAB; Orfanos E; Tafakori T; Lutchman V; Mohammad K; Elsaser S; Orfali S; Rajen H; Titorenko VI; 35937500
BIOLOGY
2 Caloric restriction causes a distinct reorganization of the lipidome in quiescent and non-quiescent cells of budding yeast Mohammad K; Orfanos E; Titorenko VI; 34853658
BIOLOGY
3 Caloric restriction creates a metabolic pattern of chronological aging delay that in budding yeast differs from the metabolic design established by two other geroprotectors Mohammad K; Titorenko VI; 33868583
BIOLOGY
4 Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry Mohammad K; Jiang H; Titorenko VI; 33491678
BIOLOGY
5 Mechanisms that Link Chronological Aging to Cellular Quiescence in Budding Yeast. Mohammad K, Baratang Junio JA, Tafakori T, Orfanos E, Titorenko VI 32630624
BIOLOGY
6 Discovery of fifteen new geroprotective plant extracts and identification of cellular processes they affect to prolong the chronological lifespan of budding yeast. Dakik P, Rodriguez MEL, Junio JAB, Mitrofanova D, Medkour Y, Tafakori T, Taifour T, Lutchman V, Samson E, Arlia-Ciommo A, Rukundo B, Simard É, Titorenko VI 32577164
BIOLOGY
7 Quantitative Analysis of the Cellular Lipidome of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry Mohammad K; Jiang H; Hossain MI; Titorenko VI; 32202524
BIOLOGY
8 Mechanisms by which PE21, an extract from the white willow Salix alba, delays chronological aging in budding yeast. Medkour Y, Mohammad K, Arlia-Ciommo A, Svistkova V, Dakik P, Mitrofanova D, Rodriguez MEL, Junio JAB, Taifour T, Escudero P, Goltsios FF, Soodbakhsh S, Maalaoui H, Simard É, Titorenko VI 31645900
BIOLOGY
9 Aging and Age-related Disorders: From Molecular Mechanisms to Therapies. Titorenko VI 31277345
BIOLOGY
10 Metabolomic and lipidomic analyses of chronologically aging yeast. Richard VR, Bourque SD, Titorenko VI 25213255
BIOLOGY
11 Lithocholic bile acid accumulated in yeast mitochondria orchestrates a development of an anti-aging cellular pattern by causing age-related changes in cellular proteome. Beach A, Richard VR, Bourque S, Boukh-Viner T, Kyryakov P, Gomez-Perez A, Arlia-Ciommo A, Feldman R, Leonov A, Piano A, Svistkova V, Titorenko VI 25839782
MASSSPEC
12 Diindolylmethane and its halogenated derivatives induce protective autophagy in human prostate cancer cells via induction of the oncogenic protein AEG-1 and activation of AMP-activated protein kinase (AMPK). Draz H, Goldberg AA, Titorenko VI, Tomlinson Guns ES, Safe SH, Sanderson JT 28923415
BIOLOGY
13 Lipid metabolism and transport define longevity of the yeast Saccharomyces cerevisiae. Mitrofanova D, Dakik P, McAuley M, Medkour Y, Mohammad K, Titorenko VI 28930594
BIOLOGY
14 Caloric restriction extends yeast chronological lifespan via a mechanism linking cellular aging to cell cycle regulation, maintenance of a quiescent state, entry into a non-quiescent state and survival in the non-quiescent state. Leonov A, Feldman R, Piano A, Arlia-Ciommo A, Lutchman V, Ahmadi M, Elsaser S, Fakim H, Heshmati-Moghaddam M, Hussain A, Orfali S, Rajen H, Roofigari-Esfahani N, Rosanelli L, Titorenko VI 29050207
BIOLOGY
15 Some Metabolites Act as Second Messengers in Yeast Chronological Aging. Mohammad K, Dakik P, Medkour Y, McAuley M, Mitrofanova D, Titorenko VI 29543708
BIOLOGY
16 Yeast Cells Exposed to Exogenous Palmitoleic Acid Either Adapt to Stress and Survive or Commit to Regulated Liponecrosis and Die. Mohammad K, Dakik P, Medkour Y, McAuley M, Mitrofanova D, Titorenko VI 29636840
BIOLOGY
17 Caloric restriction delays yeast chronological aging by remodeling carbohydrate and lipid metabolism, altering peroxisomal and mitochondrial functionalities, and postponing the onsets of apoptotic and liponecrotic modes of regulated cell death. Arlia-Ciommo A, Leonov A, Beach A, Richard VR, Bourque SD, Burstein MT, Kyryakov P, Gomez-Perez A, Koupaki O, Feldman R, Titorenko VI 29662634
BIOLOGY
18 Yeast chronological aging is linked to cell cycle regulation. Mohammad K, Titorenko VI 29895227
BIOLOGY
19 Molecular and Cellular Mechanisms of Aging and Age-related Disorders. Titorenko VI 30011889
BIOLOGY
20 Mechanisms through which lithocholic acid delays yeast chronological aging under caloric restriction conditions. Arlia-Ciommo A, Leonov A, Mohammad K, Beach A, Richard VR, Bourque SD, Burstein MT, Goldberg AA, Kyryakov P, Gomez-Perez A, Koupaki O, Titorenko VI 30405886
BIOLOGY
21 Pairwise combinations of chemical compounds that delay yeast chronological aging through different signaling pathways display synergistic effects on the extent of aging delay. Dakik P, McAuley M, Chancharoen M, Mitrofanova D, Lozano Rodriguez ME, Baratang Junio JA, Lutchman V, Cortes B, Simard É, Titorenko VI 30719227
BIOLOGY
22 Quiescence Entry, Maintenance, and Exit in Adult Stem Cells. Mohammad K, Dakik P, Medkour Y, Mitrofanova D, Titorenko VI 31052375
BIOLOGY
23 Mechanisms Through Which Some Mitochondria-Generated Metabolites Act as Second Messengers That Are Essential Contributors to the Aging Process in Eukaryotes Across Phyla. Dakik P, Medkour Y, Mohammad K, Titorenko VI 31057428
BIOLOGY

 

Title:Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Authors:Mohammad KJiang HTitorenko VI
Link:https://pubmed.ncbi.nlm.nih.gov/33491678/
DOI:10.3791/62061
Publication:Journal of visualized experiments : JoVE
Keywords:
PMID:33491678 Category:J Vis Exp Date Added:2021-01-26
Dept Affiliation: BIOLOGY
1 Department of Biology, Concordia University.
2 Centre for Biological Applications of Mass Spectrometry, Concordia University.
3 Department of Biology, Concordia University; vladimir.titorenko@concordia.ca.

Description:

Metabolomics is a methodology used for the identification and quantification of many low-molecular-weight intermediates and products of metabolism within a cell, tissue, organ, biological fluid, or organism. Metabolomics traditionally focuses on water-soluble metabolites. The water-soluble metabolome is the final product of a complex cellular network that integrates various genomic, epigenomic, transcriptomic, proteomic, and environmental factors. Hence, the metabolomic analysis directly assesses the outcome of the action for all these factors in a plethora of biological processes within various organisms. One of these organisms is the budding yeast Saccharomyces cerevisiae, a unicellular eukaryote with the fully sequenced genome. Because S. cerevisiae is amenable to comprehensive molecular analyses, it is used as a model for dissecting mechanisms underlying many biological processes within the eukaryotic cell. A versatile analytical method for the robust, sensitive, and accurate quantitative assessment of the water-soluble metabolome would provide the essential methodology for dissecting these mechanisms. Here we present a protocol for the optimized conditions of metabolic activity quenching in and water-soluble metabolite extraction from S. cerevisiae cells. The protocol also describes the use of liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) for the quantitative analysis of the extracted water-soluble metabolites. The LC-MS/MS method of non-targeted metabolomics described here is versatile and robust. It enables the identification and quantification of more than 370 water-soluble metabolites with diverse structural, physical, and chemical properties, including different structural isomers and stereoisomeric forms of these metabolites. These metabolites include various energy carrier molecules, nucleotides, amino acids, monosaccharides, intermediates of glycolysis, and tricarboxylic cycle intermediates. The LC-MS/MS method of non-targeted metabolomics is sensitive and allows the identification and quantitation of some water-soluble metabolites at concentrations as low as 0.05 pmol/µL. The method has been successfully used for assessing water-soluble metabolomes of wild-type and mutant yeast cells cultured under different conditions.





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