Tuesday, September 5, 2017
Okay...so what about SUB-nanogram proteomics?
My library hasn't listed this one yet (in press on Sept 1) but based on the abstract I really need to grab it when it lists here!
In this study they look at tons of variables.
What instrument is best at the lowest loads?
What nanoLC column lengths provide the greatest sensitivity (and - I'll assume -- gradient optimization as well)
And -- what algorithms will provide the greatest sensitivity.
They conclude (as anyone else has that is doing lots of this) MaxQuant "match between runs" (similar functions are applicable under different names in Minora, PeakJuggler, and IonStar) provides massive increases in peptide identification sensitivity!
After optimizing all these parameters these authors run a bunch of samples to prove they got it right!