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A genome-wide longitudinal transcriptome analysis of the aging model Podospora anserina

ABSTRACT: A genome-wide longitudinal transcriptome analysis of the aging model Podospora anserina

PROVIDER: PRJEB4868 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	ERR359747.fastq.gz	Fastqsanger.gz
	ERR359748.fastq.gz	Fastqsanger.gz
	ERR359749.fastq.gz	Fastqsanger.gz
	ERR359750.fastq.gz	Fastqsanger.gz

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A genome-wide longitudinal transcriptome analysis of the aging model Podospora anserina

Project description:Aging of biological systems is controlled by various processes which have a potential impact on gene expression. Here we report a genome-wide transcriptome analysis of the fungal aging model Podospora anserina. Total RNA of three individuals of defined age were pooled and analyzed by SuperSAGE (serial analysis of gene expression). A bioinformatics analysis identified different molecular pathways to be affected during aging. While the abundance of transcripts linked to ribosomes and to the proteasome quality control system were found to decrease during aging, those associated with autophagy increase, suggesting that autophagy may act as a compensatory quality control pathway. Transcript profiles associated with the energy metabolism including mitochondrial functions were identified to fluctuate during aging. Comparison of wild-type transcripts, which are continuously down-regulated during aging, with those down-regulated in the long-lived, copper-uptake mutant grisea, validated the relevance of age-related changes in cellular copper metabolism. Overall, we (i) present a unique age-related data set of a longitudinal study of the experimental aging model P. anserina which represents a reference resource for future investigations in a variety of organisms, (ii) suggest autophagy to be a key quality control pathway that becomes active once other pathways fail, and (iii) present testable predictions for subsequent experimental investigations.

2013-12-20 | E-MTAB-2016 | biostudies-arrayexpress

Transcriptomic response of Podospora anserina to bacterial and fungal non self

Project description:Transcriptomic response of Podospora anserina to bacterial and fungal non self

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Complexome profiling of mitochondria to study organismic consequences of aging in Podospora anserina

Project description:Podospora anserina is an established aging model with a strong mitochondrial etiology of aging. Here we performed a complexome analysis of isolated mitochondria to study age-related changes of assembled mitochondrial protein complexes. The analysis revealed prominent age-related alterations in oxidative phosphorylation (OXPHOS) and the induction of non-mitochondrial salvage pathways.

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Transcriptional analyses of two mutants of Podospora anserina impaired for sexual development

Project description:A whole genome microarray approach has been engaged in the heterothallic euascomycete Podospora anserina to identify genes that are differentially expressed beetwen a wild type kinetics of sexual reproduction and two mutant strains ∆RID and ∆SMR1.

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Mass spectrometric analysis of Podospora anserina mitochondria

Project description:Here we report data of an analysis to monitor the age-related quantitative protein composition of the mitochondria of the fungal aging model Podospora anserina. The impact of senescence on mitochondrial protein composition was analyzed by LC-MS analysis. In an untargeted proteomic approach, we identified 795 proteins in samples from juvenile and senescent wild-type cultures and obtained quantitative information for 226 of these proteins by spectral counting. Despite the broad coverage of the proteome, no substantial changes linked to the aging process could be observed. LC-MS/MS-data were analyzed using the Sequest algorithm implemented in the Bioworks 3.3.1 software (Thermo scientific) for peptide identification versus a P. anserina protein database. As enzyme specificity Trypsin was selected. Two missed cleavages were permitted and the mass tolerance was set to 10 ppm. False discovery rates were estimated by the number of spectral matches to a decoy database. Acceptance criteria and filters were set to achieve a false positive rate of 5 %.

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