With possibly the new winner of longest title ever, I present the succintly named
This is a really solid study utilizing label free quantification DDA to investigate promising chemotherapeutic combinations (single treatments are rapidly falling out of favor due to general ineffectiveness, but some combinations can let us break out older therapies!)
An Orbitrap Lumos is used for the study with a 100 um internal diameter columns x 100 cm. The stars of the study might be the integration of the SeaHorse metabolism system and the fact the proteomics results themselves, which indicate bigtime alterations in the MHC/HLA presentation pathway. Which -- during cancer treatment, which can sometimes turn into the world's most depressing game of "whack a mole" - could suggest some tertiary treatment options as CAR-T therapeutics and the like continue to mature.
For data nerds out there, Qu lab's extremely consistent methods on the LCMS side of things make this yet another valuable dataset. There is very little out there where you know pretty much for certain they digested the samples the same way and didn't yield to the temptation of pushing every button on their instruments before starting the next study.
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