Really handy overview! Already fig 1 I could see myself sharing frequently to explain differences between whe blood and plasma omics 👇

Ben Neely@benneely.com · 5mo ago

Our paper out today combines my love of blood proteomics and a seriously awesome group of experts I am humbled to be included alongside. Thanks to @ypriverol.bsky.social and Asier Larrea-Sebal for leading. This is a great modern review with a nod to non-MS data. link.springer.com/article/10.1...

In biological data finding meaningful ways to do training-test splits without leaking information can be tricky as readouts can be highly correlated, causing over-optimism. Here a nice example based on protein language models 👇

Claus Wilke@clauswilke.com · 5mo ago

New paper showing that much of the apparent success of protein language models in predicting mutational effects is a mirage: These models mostly memorize sites. 1/ www.biorxiv.org/content/10.6...

Really impressive study showing an actual successful end-to-end rare disease example how to use IPSC + repurposable drug screening followed up by increasing complex diseases models (and functional analyses) to find a drug that is successfully tested in patients. Congratulations 💪

Alessandro Prigione@aleprigio.bsky.social · 5mo ago

Our collaborative work is out now in CELL @cellpress.bsky.social We sugggest sildenafil as a repurposable drug for mitochondrial disease. A clinical trial is planned to start later this year. Thanks to collaborators, funders, and patient organizations! www.sciencedirect.com/science/arti...

Really comprehensive and nicely put together review of the state of mass spec based rare disease research 👌

PastelBio@pastelbio.bsky.social · last yr.

Review: Utility of mass spectrometry in rare disease research and diagnosis www.nature.com/artic... --- #proteomics #prot-paper

Spatial proteomics is chosen Nature Methods's Method of the year www.nature.com/articles/s41... Having worked all my PhD helping establishing and pushing the boundaries of one of these technologies, I am obviously quite pleased to see this kind of recognition of the field ☺️

Method of the Year 2024: spatial proteomics - Nature Methods

Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.

nature.com

I could not be more thrilled to announce the Nature Methods @naturemethods.bsky.social Method of the Year is Spatial Proteomics! Please see our editorial as a roadmap to the fantastic content in this special issue! www.nature.com/articles/s41...

Method of the Year 2024: spatial proteomics - Nature Methods

Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.

nature.com

"Conclusions: Increased consumption of dark, but not milk, chocolate was associated with lower risk of T2D. Increased consumption of milk, but not dark, chocolate was associated with long term weight gain. " www.bmj.com/content/387/...

Chocolate intake and risk of type 2 diabetes: prospective cohort studies

Objective To prospectively investigate the associations between dark, milk, and total chocolate consumption and risk of type 2 diabetes (T2D) in three US cohorts. Design Prospective cohort studies. ...

bmj.com

Is the Mapper algorithm already used for single cell clustering? www.quantmetry.com/blog/topolog... I really like the concept of coarse grouping based on a reduced dimension combined with clustering in original space.

Topological data analysis with Mapper

Introduction Topological data analysis (TDA) is a recent branch of data analysis that uses topology and in particular persistent homology. TDA is used to extract meaning from the shape of data. In th...

quantmetry.com