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Bolch, C.

Publications and source records attributed to Bolch, C..

2 recordsLinked to original sources

Elimination of Foxo triplets following glucocorticoid incubation dampened metabolic stress and enhanced anti-viral response targets based on transcriptomic analysis

Glucocorticoids, both endogenous and exogenous, are known anti-inflammatory agents with associated adverse effects when administered chronically or in excess. Foxo family members, specifically Foxo1, Foxo3 and Foxo4 have demonstrated to be major regulators of metabolic complications following glucocorticoid action. We employed mouse embryonic fibroblasts as model system and using tamoxifen induced Cre+ recombinase activation, we achieved deletion of the Foxo triplets- Foxo1, Foxo3, and Foxo4. Following incubation of dexamethasone in both wild type and Foxo triplet deleted group, RNA sequencing was performed to reveal the transcriptome. Interestingly, the transcripts involved in initiating metabolic stress like PDK4 and 11 Beta HSD1 were downregulated, whereas transcripts involved in anti-viral response were upregulated following Foxo triplet deletion. The anti-inflammatory property of glucocorticoids was kept intact based on transcripts evaluated including GILZ and COX2. In summary, our study reveals a unique phenomenon where we will be able to manipulate glucocorticoid action by deleting Foxo triplets eliminating the metabolic stress components but enhancing anti-viral response and maintaining their clinical use as an anti-inflammatory agent. This work will lay foundation for a paradigm shift in clinical use of glucocorticoids according to therapeutic advantage with lesser adverse effects

pharmacology and toxicology↗

Hybridisation capture allows DNA damage analysis of ancient marine eukaryotes

Marine sedimentary ancient DNA (sedaDNA) is increasingly used to study past ocean ecosystems, however, studies have been severely limited by the very low amounts of DNA preserved in the subseafloor, and the lack of bioinformatic tools to authenticate sedaDNA in metagenomic data. We applied a hybridisation capture baits technique to target marine eukaryote sedaDNA (specifically, phytoplankton, Phytobaits1; and harmful algal bloom taxa, HABbaits1), which resulted in up to 4- and 9-fold increases, respectively, in the relative abundance of eukaryotes compared to shotgun sequencing. We further used the new bioinformatic tool HOPS to authenticate the sedaDNA component, establishing a new proxy to assess sedaDNA authenticity, the Ancient: Default (A:D) sequences ratio, here positively correlated with subseafloor depth, and generated the first-ever DNA damage profiles of a key phytoplankton, the ubiquitous coccolithophore Emiliania huxleyi. Our study opens new options for the detailed investigation of marine eukaryotes and their evolution over geological timescales.

genomics↗