Qi Yu

Qi Yu is a Researcher in the Department of Human and Animal Physiology at Wageningen University, actively engaged in swine reproduction research as a PhD candidate. Current work focuses on improving piglet birth weight and survivability through follicular development studies, specifically investigating the role of Insulin-Like Growth Factor 1 (IGF1) in multiparous sows.

Research spans animal physiology with emphasis on reproductive biology in swine. Key interests include folliculogenesis dynamics, metabolic impacts of lactation on ovarian function, growth factor regulation (particularly IGF1), and advanced cellular phenotyping techniques. Work integrates molecular biology with agricultural science to address critical challenges in sow reproduction and piglet viability.

Recent publications demonstrate a methodological evolution toward single-cell resolution analysis of ovarian granulosa cells, revealing cell cycle responses to nutritional stressors during lactation. Key thematic trends include the interplay between metabolic status and follicular development, with consistent application of cutting-edge techniques like laser-capture microdissection and extracellular flux analysis to dissect swine reproductive physiology.

Qi Yu has not received any scientific awards as per available information.

As the principal PhD candidate for the active project 'Improving piglet birth weight and survivability by studying follicular development: the role of IGF1' (funded by Wageningen University since March 2021), research is conducted under promotor Keijer and co-promotors Teerds and Soede. The project involves collaborative supervision and utilizes institutional resources for advanced reproductive biology investigations.

Research operations are embedded within Wageningen University's Department of Human and Animal Physiology, leveraging specialized facilities for transcriptomic analysis and metabolic phenotyping. The team employs interdisciplinary approaches combining animal science, molecular biology, and computational analysis to advance understanding of swine reproductive efficiency.