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Biology subjects

Zecic, A.

Publications and source records attributed to Zecic, A..

2 recordsLinked to original sources

SPTF-3/SP1 orchestrates mitochondrial biogenesis upon ribosomal stress and acute starvation

When cells have increased energy demand, they respond by elevating the production of new mitochondria through the process of mitochondrial biogenesis. This complex physiological undertaking requires precise coordination of mitochondrial and nuclear gene expression to extend the existing mitochondrial network in the cell. Using C. elegans as a model system we have identified stress-induced transcription factor SPTF-3 as a novel regulator of mitochondrial biogenesis on-demand upon increased heat stress, dietary restriction, and acute starvation. We show that SPTF-3 also regulates ATFS-1, the main transcriptional regulator of UPRmt (mitochondrial unfolded protein response). Thus, by orchestrating two parallel programs - mitochondrial biogenesis and UPRmt, SPTF-3 safeguards mitochondrial wellbeing and function upon stress, thus allowing survival in unfavorable conditions. Mitochondrial biogenesis is induced by disturbances in cytoplasmic ribosomal assembly, which leads to preferential translation of SPTF-3. Importantly, we demonstrated that the role of SPTF-3 in the regulation of mitochondrial biogenesis upon nutrient deprivation is conserved in mammals through its homolog SP1.

molecular biology↗

Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans

Sarcopenia encompasses a progressive decline in allover muscle quantity and quality. Given its close association with aging, it may represent a valuable healthspan marker. Given the strong commonalities with human muscle structure and the facile visualization possibilities, C. elegans represents an attractive model for studying the relationship between sarcopenia and healthspan. However, classical assessment relies on visual scoring of muscle architecture, which is subjective and inaccurate. To resolve this, we have developed an automated image analysis pipeline for the detailed quantification and classification of muscle integrity in confocal microscopy images from a cohort of aging myosin::GFP reporter strains. We then extracted a variety of morphological descriptors and found a subset to scale linearly with age. This allowed us to establish a general linear model that predicts biological age from a morphological muscle signature. To validate the model, we evaluated muscle architecture in long-lived worms that are known to experience delayed sarcopenia by targeted RNAi-mediated knockdown of the daf-2 gene. We conclude that quantitative microscopy allows for staging sarcopenia in C. elegans and will be of use for systematic screening for pharmacological or genetic modulators that mitigate age-related muscle frailty and thus improve healthspan in C. elegans.

bioinformatics↗