This one had so many steps to get behind the paywall of that I thought I was trying to find a certain global leader's name thousands of times in files about a certain island.
It was totally worth it though, because this is GREAT!
KRAS does so many things and has so much redundancy that you can fill entire buildings full of RAS researchers for decades and they still haven't sorted it all out.
Now there are these awesome little small molecule inhibitors, but you're still looking at a big matrix of effects. Tubingen was like - fuck it, we'll just use them all and do super deep
Proteomics and
phosphoproteomics and
ubiquityl/ubiquitin/Ubbydooobydoo omics
On cell lines where each particular drug works. Plus
dose responses!
Geez. Science signaling is a pain in the butt. Even trying to get the PDF makes you go to a weird PDF reader and then you have to download it from there? I bet the impact factor is lousy....
Got it so I can read it!
TMT11-plex was uses for most experiments, suggesting they may have started this study before the 16/18-plex came out, or that the Decrypt downstream stuff is just easier with maintaining the exact same workflow - which I'm 100.00% fine with.
Oh shit - they also did Cysteine profiling! Now....that's cool. I know someone who is convinced these drugs should be having off-target effects. We did some runs to see - didn't - but I didn't have the bandwidth to do Cysteine enrichments.
Now...if I do have a criticism here of this beautiful work I'm not super stoked that some of the experiments were done with SPS MS3 while others were high resolution MS/MS. I'm probably going to download the high resolution runs for looking for things I'm personally interested in and I'm probably not going to download the ones with ion trap MS/MS.
I'm just a resolution and accuracy snob, particularly when hunting PTMs.
Don't let that -at all- detract from what a fantastic and useful piece of science this thing is. It's just a minor comment based on how I will personally reuse these data - that you can get at ProteomeXchange here! https://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD063604
Of course, these data are probably already fully integrated into Decrypt so you don't have to download a 300GB of data to dig through yourself.
However - the last big Decrypt paper that dropped featured some drugs that we've done single cell proteomics on and that data let me vastly improve my analysis of that drug. And - here are 2 more that we've worked on!