Search PubMedSearch

Biomedical subjects

Katrin J Svensson

Publications and source records attributed to Katrin J Svensson.

2 recordsLinked to original sources

A genome-wide, CRISPR-based screen reveals new requirements for translation initiation and ubiquitination in driving adipogenic fate change.

In response to excess nutrients, white adipose tissue expands by both generating new adipocytes and upregulating lipogenesis in existing adipocytes. Here, we performed a genome-wide functional CRISPR screen to identify regulators of adipogenesis in the mouse 3T3-L1 preadipocyte model. In this pooled screening strategy, we used FACS to isolate populations based on lipid content, gating for fluorescence intensity of lipophilic fluorescent BODIPY dye. Additionally, we categorized whether the gene functions primarily during mitotic clonal expansion, lipogenesis, or both. We found that translation initiation and ubiquitin-dependent protein stability regulators drive both adipogenic fate change and lipogenesis. We further supported these findings with proteomics, demonstrating that essential changes in protein reprogramming can drive or inhibit 3T3-L1 adipogenesis independent of transcription. Furthermore, we demonstrated that specific branches of the hypusination pathway, a conserved regulator of translation initiation, are critical for translating adipogenic inducers of mitotic clonal expansion and that the neddylation/ubiquitin pathway modulates insulin sensitivity during lipogenesis.

Animals

A consensus guide to preclinical indirect calorimetry experiments.

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data repository built on shared standards. This overdue initiative stands to markedly improve the accuracy and depth of efforts to interrogate mammalian metabolism. Data sharing according to established best practices will also accelerate the translation of basic findings into clinical applications for metabolic diseases afflicting global populations.

Calorimetry, Indirect