Okay - I'm finally back after an almost week long struggle with a super sophisticated malware thing that blocked the install of all malware updates that could remove it. All sorts of fun, I promise.
AND -- Now I have proteomic AND metabolomic data from 40+ COVID-19 infected patients and 50+ controls to dig through?!?
Wait -- has this been out for 2 weeks? Okay -- well -- thanks Google Scholar alerts, you're winning it in the pandemic.....
The proteomics is:
TMT Pro labeled (16-plex)
Fractionated into 120 fractions
Concatenated into 40
Ran with microflow (not nano) in 35 minute gradients
QE HF-X
The Metabolomics is:
Separated into 4 batches
QE HF -- I'm unclear as to the data acquisition strategy. If you read the methods it suggests MS1 only at 35,000 resolution, which is not only inaccurate (because that setting doesn't exist on the device), but is a suboptimal way to run metabolomics, but then data dependent acquisition is implied to have happened. (The classical metabolomics world seems to think that lower resolution and mass accuracy is okay -- I disagree. I think low resolution metabolomics is fantastic if you've got a pathway you want to find and whether it's actually there or not is of secondary concern.)
The stats are on-point. I dig the downstream analysis here.
All the data is available at ProteomeXchange via IPX Project ID: IPX0002106000
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