Thursday, March 27, 2025

PCA-N -36,000 human plasma proteomics samples by mass spec in 311 days!

 


WHOOOOOOOOOOOOOOOOOOOOOOOOOOOOOAAAAAAAA!!!!!

Dataset for reanalysis alert!! 

EDIT - EEEEEEEEEEEEEEEEEEEEEEEEEEEEKKKKKK! I can't find the data files. Contacting authors now. 

I have some 100SPD files from Matt Foster's Astral and I think they're like 8GB? So....8GB x 36,000? Is that 288 TB? It might just be uploading and they wanted to preprint something this year? 

Mann lab optimized perchlorate based enrichment to get a super cheap sample prep method giving them about 2,000 proteins per sample in human plasma. Then did 36,000 of them?!?! No nanoparticles? Off the shelf stuff? I need to read this, but - whoa. 






1 comment:

  1. There's a number of issues with this preprint. Of course, no data availability as is now somewhat normal for preprints. But I see lots of claims with no evidence...

    2,000 PGs claimed, but show 1,315 in data which isn't too different than PCA... Also a bit concerning that in 5 samples they show 2500 PGs aggregate, which suggests high data heterogeneity with either PCA-N or PCA method.

    Neat CVs were in line with expectations but PCA-N was 2x greater magnitude, resulting in reduced biological signal interpretation on median robustness features. Matched features would have been interesting...

    13k sample preps per day seems a bit exagerated too. It would require massive automation and technician effort to balance all the incubating plates. Krakatoa type samples may be more realistic one day. Maybe this was a commercial group sticking their hand it to say we can do 1/3 of the year long acquisition cohort in a day... Also claiming 1536 plates but not showing it...

    Frustrating that a non openly available international standard was set and used again. I realize they are important, but accessibility is lacking and should be paramount to standardization.

    Would also love to see the actual methods they're using for batch correction. It's a glaring hole in their methods.

    Hoping this paper gets a massive transparency revision in the peer-review update.

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