You wouldn't download a HPLC, would you?
(I would.)
You wouldn't download a HPLC, would you?
(I would.)
Well, in case you missed all the work over the years from @jochwenk.bsky.social et al. about blood proteomics technical concerns, turns out our extracellular RNA compatriots basically have written the same papers. www.nature.com/articles/s41...
Pleased to share our native glycomics workflow preserving O-acetylation, detecting this labile modification in rat (53%) and mouse (9%) serum N-glycans.
Integrally, O-acetyls are invisible under standard reductive conditions.
Now published at Molecular Omics.
Link: academic.oup.com/molecular-om...
Review from Fia B. Larsen in @rhp-lab.bsky.social with everything you always wanted to know about proteasomal control of transcription factors (but were afraid to ask about)
Proteasomal control of transcription factors: mechanisms, regulation and dysregulation.
doi.org/10.1007/s000...
Graph of award probability of R35 and R01 from NIH factbook as a function of review rank percentile. As is apparent, 2025 is a significant departure, with lower award probabilities at all scores <40 and significant departures from norm, where even being in the top 10% is no longer a nearly certain indicator of success. Data source: https://report.nih.gov/nihdatabook/report/302
The data is in: the NIH goalposts have shifted.
What were once almost certain fundable scores have become coin flips and what used to be likely grants have become aspirational, leading to fewer awards.
Another manifestation of how HHS policies have led to fewer awards and less science.
But you're in Australia so everything is reversed anyway
why are people who do proteomics always happy?
they're always working in positive mode
Sometimes I lean towards the assumption that we humans are required to make sense of the data and provide valuable structure, but that might not be true. Chucking raw data at an algorithm and letting it churn for a while as worked out for other tasks
www.incompleteideas.net/IncIdeas/Bit...
Agree that LLMs are probably not going to make huge leaps in biology. The cycle times for biology are just too slow. That doesn't mean AI won't help make huge leaps in biology. Just that LLMs are probably not gonna do it.
joehorsman.substack.com/p/in-defense...
introdctory slide of the talk
an AI generated image, showing a close system lab, and a more open science, accessible one
Today I was in Zandvoor to give a seminar on why we need to democratize Self Driving Labs. So i wrote a little blog post on it :)
vsaggiomo.com/blog/2026/SDL/
"Benaj" sounds like a fancy wine variety or something
π’ 2027 US HUPO Association Awards β Nominations Now Open! π
Celebrate excellence in proteomics β nominate a colleague or deserving leader today! π
π‘ Who can nominate: Current US HUPO members
π
Deadline: October 2, 2026
π Learn more & submit your nomination: us-hupo.org/awards
#USHUPO #Proteomics
a headshot of David Botstein
We are deeply saddened to share the news of the passing of David Botstein, a towering figure in modern #genetics and a foundational force behind SGD.
www.yeastgenome.org/blog/in-memo... #yeast #modelOrganism
#GirlLunch
Truly the year of Seattle proteomics!! University of Washington Genome Sciences department almost had a clean sweep!! πͺπ
Dario for Hil Omenn Award 2027
oh I lol'd. Probably the only person in that TSA line that was smiling though ha
This out of office from Wout is killing me (is he not on bluesky?!)
Waiting in the TSA line at SEATAC with this episode to pass the time
Quick proteomics question: we want to use an exogenous biotin blocking scavenger for a TurboID experiment. We tried Biolock but is very inconsistent in our hands. Does anyone have another suggestion?
@lindsaykpino.com shares how chromatogramβbased #chemoproteomics using the #ZenoTOF8600 and #Skyline enables residueβlevel detection of covalent binding events with depth, robustness, and throughput.
ποΈ Feb 23 | β° 12:30β13:30
π Grand Ballroom AB, Hyatt Regency St. Louis
sciex.li/xoemx7
#USHUPO2026
Hey Chromatin Friends!
Long time no chromatin question...
For many of you, CUT&x (RUN/Tag) works really well but some of you have had their frustrations with CUT and "gone back" to ChIP-Seq. Can you share your experiences in the comments!?
Would love to hear from you!
Sharing is appreciated : )
New preprint! We did a systematic comparison of proteases, digestion conditions, and labeling methods for histone PTM analysis by MS-based proteomics in the Yates lab at @scripps.edu.
TL;DR: you can get great results in ~3 h of sample prep. π§΅
Some years ago, another grad student in the @maccoss.bsky.social lab (Han-Yin "Momo" Yang) was working on a project showing that peptide amount and TIC correlated, so could be used for normalization. digital.lib.washington.edu/researchwork...
I haven't done protein quant in years, it's not included in our workflows anymore. Admittedly, maybe we're not quite the right comparison because we have a pretty standardized sample prep process that starts with cells.
Mass spectrometry: not even once.
Looks like proteomics has hit the big time!
Well that's why you link up your InsightsBot to a ValidateBot, obviously.