This new paper is an improvement over a super cool already existing technology that I had NO IDEA EXISTED AT ALL.
I bet the nerds pulling down ribosomes and cutting the attached DNA with nucleases, then busting up the ribosomes and sequencing what didn't get digested (RiboSeq, definitely not convoluted at all) don't either. Sure, RiboSeq is cool - and programs like ProteoFormer have been around for a while combine RiboSeq and proteomics data output.
But I don't know how to do RiboSeq. I'd have to go back to a grant application that wasn't funded a while back to figure out who on our team was the expert on that part to even know who to start asking dumb questions about the technology. OR I could just do this? And have an output I understand that says "your drug is causing the cell to start making proteins A/B/C right now?"
Again, this is an optimization, but the authors use the original long acronym thing you don't need to commit to memory (because theirs is better) and demonstrate that is can also be used with TMT, it seems to work best with SPS/MS3 based TMT quan.
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