Dataset Information

Functional Metabolomics Describes the Yeast Biosynthetic Regulome

ABSTRACT: Genome-metabolism interactions enable cell growth. To probe the extent of these interactions and delineate their functional contributions, we quantified the Saccharomyces amino acid metabolome and its response to systematic gene deletion. Over one-third of coding genes, in particular those important for chromatin dynamics, translation, and transport, contribute to biosynthetic metabolism. Specific amino acid signatures characterize genes of similar function. This enabled us to exploit functional metabolomics to connect metabolic regulators to their effectors, as exemplified by TORC1, whose inhibition in exponentially growing cells is shown to match an interruption in endomembrane transport. Providing orthogonal information compared to physical and genetic interaction networks, metabolomic signatures cluster more than half of the so far uncharacterized yeast genes and provide functional annotation for them. A major part of coding genes is therefore participating in gene-metabolism interactions that expose the metabolism regulatory network and enable access to an underexplored space in gene function.

INSTRUMENT(S): 6460 Triple Quadrupole LC/MS (Agilent)

SUBMITTER: Michael Muelleder

PROVIDER: MTBLS434 | MetaboLights | 2017-03-02

REPOSITORIES: MetaboLights

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Functional Metabolomics Describes the Yeast Biosynthetic Regulome.

Mülleder Michael M Calvani Enrica E Alam Mohammad Tauqeer MT Wang Richard Kangda RK Eckerstorfer Florian F Zelezniak Aleksej A Ralser Markus M

Cell 20160929 2

Genome-metabolism interactions enable cell growth. To probe the extent of these interactions and delineate their functional contributions, we quantified the Saccharomyces amino acid metabolome and its response to systematic gene deletion. Over one-third of coding genes, in particular those important for chromatin dynamics, translation, and transport, contribute to biosynthetic metabolism. Specific amino acid signatures characterize genes of similar function. This enabled us to exploit functional ...[more]

PMID: 27693354

Publication: 1/2

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Project description:Otitis media, pneumonia, sinusitis and as well as severe diseases such as meningitis and bacteraemia are related to biofilm-like diseases, in which Streptococcus pneumoniae demonstrated differential and tissue specific gene expressions. In this study, we reported the differential gene expression profile of early in vitro biofilm and planktonic cell in c-DNA microarray analysis. The microarray analysis was performed on total RNA extracted from biofilms grown in 24-well microtiter plate and mid-log grown planktonic cells. To validate the results of microarray, real-time RT-PCR was performed on 13 differentially expressed genes and one constitutively expressed gene from six different functional groups. cDNA-microarray analyses indicated 89 genes that were significantly differentially expressed in biofilm and planktonic cells. Among total differentially expressed gene, almost 50% were hypothetical genes. Of the 46 protein coding genes, 34 showed up-regulation and 16 showed down-regulation in biofilm. The functional annotation showed that many functional categories were differentially regulated in biofilm and planktonic cells, such as genes involve in purine, pyrimidine nucleotide metabolism, RNA/DNA metabolism, amino acid transport and metabolism, translation, transporter protein, carbohydrate transport and metabolism, cell wall biosynthesis, isoprenoid biosynthesis, transcription regulator and cellular process. Streptococcus pneumoniae R6 strain used in this is an unencapsulated and avirulent strain derived from encapsulated serotype 2 pathogenic strain D39. In vitro biofilm formation was carried out in 24-well, flat-bottom, polystyrene microtiter plate (BD falcon, MD, USA) in static model. S. pneumoniae grown up to mid-logarithmic phase in TSB medium was diluted 1:100 with fresh sterile TSB medium supplied with 1% glucose, inoculated 1.5 mL in 24-well microtiter plate and, incubated for 15 hours at 37M-BM-0C in 5% CO2. After incubation medium was discarded, and the plates were gently washed three times with 1.5 mL sterile, cold phosphate buffer saline (PBS). Adherent cell were scraped and immediately processed for RNA extraction. For planktonic cells RNA extraction, five ml of mid-logarithmic phase cell suspension was pelleted by centrifugation and wash three times with sterile PBS and immediately processed for RNA extraction. All experiments were performed in triplicate (3 independent biological replicates)

Dataset Information

Functional Metabolomics Describes the Yeast Biosynthetic Regulome

Publications

Functional Metabolomics Describes the Yeast Biosynthetic Regulome.

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