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ksuhre.bsky.social
Passionate about #GWAS #Metabolomics #Proteomics #Glycomics #Epigenomics, Professor @WeillCornell Medicine - Qatar, Blog on http://metabolomix.com, http://suhre.fr
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Here an interesting #proteomics platform comparison Benchmarking Study Evaluates Performance, Tradeoffs of Plasma Proteomic Technologies www.genomeweb.com/proteomics-p... A @genomeweb.bsky.social discussion of "A Technical Evaluation of Plasma Proteomics Technologies" doi.org/10.1101/2025...

Our latest Study just went online: Comparative Analysis Between Olink-PEA and Alamar-NULISA Proteomic Technologies Applied to a Critically Ill COVID-19 Cohort analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/...

Solute carriers: The gatekeepers of metabolism www.cell.com/cell/fulltex... A nice review on how to use #GWAS with #metabolomics to determine transporter substrates. Here another one that we experimentally confirmed: "SLC16A9 is a carnitine efflux transporter" www.nature.com/articles/nat...

Ok, hopefully a trickier daily distraction. Trait: smoking initiation rs11783093 Genes, sorted by ensembl id: STMN4,TRIM35,CLU,PTK2B,CHRNA2,EPHX2,CCDC25,SCARA3,PBK,ESCO2 And the signature very unhelpful cartoon: Who's the causal gene, and what's the link to this picture?

These are challenging times for science, but I'm happy to share a bright moment: our work is on the cover of Cell today. We built a compendium of human gut microbiomes integrating 168K worldwide samples, revealing patterns of microbiome variation across the globe www.cell.com/cell/current...

I just updated the Table of all published #GWAS with #Metabolomics with the latest GWAS in urine with Nightingale NMR ... if you know of other recent GWAS that I am missing, pease let me know. www.metabolomix.com/list-of-all-...

🥳 Our 4th most downloaded article in 2024: Beyond genetics: driving cancer with the tumour microenvironment behind the wheel by @thefuchslab.bsky.social & colleagues https://bit.ly/42Cvr... @rockefelleruniv.bsky.social @hhmi.bsky.social @natureportfolio.bsky.social #NRCtop10of2024

Our latest Study just went online: Comparative Analysis Between Olink-PEA and Alamar-NULISA Proteomic Technologies Applied to a Critically Ill COVID-19 Cohort analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/...

Thursday 2/ 20/25, from 9-1pm, Uri Keshet presents: Bits and Bites: From Sample to Signal: Learn Best Practices in LC-MS for #Metabolomics. Register and pay here: na.eventscloud.com/ereg/index.p... A great opportunity to learn for wet lab personnel! @pieterdorrestein.bsky.social @ksuhre.bsky.social

When Elon was a kid, survival for ALL, the most common childhood cancer, was <10% Now it’s >90% due to funded collaboratives (high indirect costs) whose work ultimately SAVES THOUSANDS OF LIVES EVERY YEAR. For other cancers there’s still so much progress to be made. I think it’s worth it.

⭐Preprint alert⭐ Blood #Proteomics can now measure 1000s of proteins, but what can they tell us? We used #MachineLearning in @ukbiobank.bsky.social to derive the foundations of plasma levels >3k proteins among 40 people. www.medrxiv.org/content/10.1...

I see lots of patients with obesity who develop heart attacks. Often they have normal cholesterol, blood pressure and glucose levels are normal. So why do they get heart attacks? We identified endotrophin as a mechanism whereby obesity causes heart disease. 🧵 www.nature.com/articles/s41...

Here's our latest work on proteome profiling of self-sampled dried blood spots to gain insights into the heterogeneity of the immune response against infections and vaccinations. We enrolled random citizens by postal mail to learn more about the molecular effects beyond those seeking medical care.

www.nature.com/articles/s41...

An episode of the #Olink #proteomics podcast not to be missed: share.transistor.fm/s/27ea212c

An episode of the #Olink #proteomics podcast not to be missed: share.transistor.fm/s/27ea212c

@stevesphd.bsky.social So I've now had a chance to properly read the whole thing and I still don't know if Nobel prize winners live longer.

There I was thinking that 3000 proteins for 54K samples was impressive!

Here the official @ukbiobank.bsky.social press-release. Please share widely on @bsky.app to make this platform most relevant. www.ukbiobank.ac.uk/learn-more-a...

Wow - that's really impressive! UKB-PPP aims to analyze more than 5,400 proteins from 600,000 samples using the #OLINK platform @ukbiobank.bsky.social newsroom.thermofisher.com/newsroom/pre...

DIA-NN 2.0 release is almost ready, will come with some big news. One is scanning methods support, at the moment doing some tuning of the algorithm using Synchro-PASEF data :) Turns out, 'Q1 information' is really helpful for gaining peptidoform confidence. Likely also channel-confidence in plexDIA.

Looking forward to the new version.. any news on full integration with per sample genotype information ? 😉

I am big promoter of a model where you buy access to papers on a individual basis, with realistic pricing, like $1 per paper. Universities would buy access tokens in bulk to share with their researchers. This would incentivize journals to publish papers that people actually read.

Welcome to the first Variant Effects Seminar Series of 2025! Kicking off on Jan 7 with two amazing speakers: Ujjwal Rathore and Matthew Howard. Don’t miss it! varianteffect.org/seminar-series #FunctionalGenomics #Seminar

An accumulation of somatic mutations cause cancer. But do they also cause a misunderstood class of other conditions that aren't inborn, but arise in adulthood? An M.D. writing in Atlantic draws together some rare examples. www.theatlantic.com/health/archi...

Happy New Year 😃

A great paper and a great thread! One point that I partcularly liked was this one: "In particular, [GWAS] variants can be trait specific in two ways: they can either affect a trait-specific gene or affect a pleiotropic gene in a context-specific manner."

Bluetorial: Avoiding becoming et al. I decided not to do a postdoc with a Nobel laureate for personal reasons, but this decision had unanticipated benefits for my career.

I made a "gene info" custom GPT. Paste in a list of human gene symbols. It'll run some python code against a custom knowledge base to provide information about those genes (from RefSeq) https://chatgpt.com/g/g-677277d002608191887af1a9c0a9e832-gene-info 🧵 1/4 🧬🖥️🧪

Very cool paper from Eddie Park and Yi Xing studying the relationship between intron retention QTLs and expression QTLs. Predictably, genetically regulated intron retention can cause changes in gene expression via nonsense-mediated decay (NMD). www.biorxiv.org/content/10.1...

Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition www.nature.com/articles/s42...