This work by Samyukta Sah and Xin Ma titled “Space- and Time-Resolved Metabolomics of a High-Grade Serous Ovarian Cancer Mouse Model” in Cancers follows the first 10-month time-resolved serum metabolic profile of a triple mutant (TKO) HGSC mouse model, along with the spatial lipidome profile of its entire reproductive system. Check it out using the link below:
Archives for April 2022
This award will support Daniel’s international training at the University of Bordeaux and allow him to attend their international conference in support of his research for the analysis of proteins in cultural heritage objects.
Congrats to his successful candidacy exam on his work research mild traumatic brain injuries.
Bifarin won this inaugural award from Georgia Tech’s SoCB for his lightning talk on “Lipidome Dynamics DKO” for his ovarian cancer research using machine learning. Congrats Bifarin!
This award will support Daniel’s travel to the Gordon Research Conference in Switzerland later this year.