Eddie Rashan

As promised, a 🧵 on our recent article now out in @NatureSMB! Co-led with @AbbyBartlett_ @Pagliarini_Lab @JudithSimcox, we find ACAD10/11 are NOT like other acyl-CoA dehydrogenases and instead catabolize atypical lipids called 4-hydroxy acids 🤯#lipidtime doi.org/10.1038/s41594…

Fellow parents - any recommendations for a kid's reading list? Enrolled my 3-month old into Cambridge's '1000 Books before Kindergarten' reading program!

🧵 During today’s National Cancer Advisory Board (#NCAB) meeting, I shared updates on where NCI stands—and where we’re headed. I see a research enterprise that is steady, focused, and ready to accelerate progress against cancer. Here are a few highlights:

MitoTracker transfers from astrocytes to neurons independently of mitochondria dlvr.it/TRV0Fg

1/3 Thrilled to see our paper led by Kirandeep Deol is out! We used CRISPR screens to uncover regulators of the ferroptosis suppressor FSP1. key discovery: vitamin B2 metabolism stabilizes FSP1 via FAD, revealing a new way vitamins regulate ferroptosis. nature.com/articles/s4159…

stop spending money on Claude Code. Chipotle's support bot is free:

I am so excited to co-organize the scientific program for ASBMB 2027 together with Amy Palmer! Please join us in beautiful Boston April 3-6, 2027. Interested in organizing a mini-symposia or workshop for ASBMB? Please submit your proposals here!: asbmb.org/annual-meeting…

Center for Metabolic Health (CMH) at the University of Utah is inviting applications for our Postdoctoral Rising Stars in Metabolism held on Sept 2, 2026. If you are a postdoc with an exciting METABOLISM story, apply using the QR code by April 24. Please RT with colleagues.

The first paper from the Crewe lab is online today. We found that macrophage-meditated clearance of EVs is a major determinate of circulating adipocyte EV levels. This clearance is disrupted in obesity. A huge effort by Snigdha Tiash! cell.com/cell-metabolis…

This is wild

🚨 Today in @Nature, we report GEMINI—a genetically encoded intracellular memory device that writes cellular dynamics into tree-ring-like fluorescent patterns within cytoplasmic protein assemblies.[1/n] nature.com/articles/s4158…

Our collaborative project "New Drug Protects Mitochondria and Prevents Kidney Injury in Mice" (tinyurl.com/y2pk2tcy) got selected for the 2026 #STATMadness by @statnews! Please vote and help us to prevent kidney injury! @RutterLab @ScottSummers339 @UofUBiochem @UtahCMH

New #cachexia work from @mvh_lab - Pancreatic cancer-associated organ dysfunction promotes muscle autophagy and contributes to peripheral tissue wasting biorxiv.org/content/10.648…

@OlzmannLab @Nature @apsarruda @alymathiowetz @EmilyMeymand Congratulations, James! Awesome study and glad to see it finally out.

1/ Thrilled to share our new paper in @Nature: “CLCC1 promotes hepatic neutral lipid flux and nuclear pore complex assembly.” From our lab together with @apsarruda, led by co–first authors @alymathiowetz and @EmilyMeymand. 🥳 nature.com/articles/s4158…

Our paper on The Lipid Interactome is now published, and the database is open: lnkd.in/g-swyT2a Why you should care: Lipid–protein interactome studies are exploding, but the data is scattered across papers, inconsistent formats, and silos making it hard to compare/reuse.

Fatty acids promote uncoupled respiration via ATP/ADP carriers in white adipocytes dlvr.it/TR6ggv

Thrilled to share our work "Recessive PPTC7 deficiency triggers excessive mitophagy to cause a severe inborn error of metabolism with hypomyelinating leukodystrophy" - a collaborative effort documenting the first cases of PPTC7 mutations in humans. 1/n researchsquare.com/article/rs-881…

Generative deep learning enables rapid and accurate prediction of disordered protein ensembles from sequence Intrinsically disordered proteins and regions (IDRs) make up roughly 30% of eukaryotic proteomes and are central to processes like transcription, signaling, and phase separation. Unlike folded proteins, IDRs don't adopt a single structure — they exist as broad ensembles of interconverting conformations. This structural plasticity is not noise; it encodes function. But characterizing these ensembles computationally has been expensive and technically demanding, and tools like AlphaFold, optimized for predicting single structures, are poorly suited to the task. Novak, Lotthammer, Emenecker, and Holehouse now present STARLING, a generative deep learning framework that predicts full coarse-grained conformational ensembles of IDRs directly from amino acid sequence — in seconds, on commodity hardware. The key insight is that IDR ensemble generation is analogous to text-to-image generation: a single prompt (the sequence) should produce many distinct, uncorrelated outputs (conformers), each consistent with that prompt. STARLING combines a variational autoencoder that compresses inter-residue distance maps into a compact latent space with a denoising diffusion model conditioned on sequence and ionic strength. Trained on nearly 12 million distance maps from coarse-grained simulations of ~50,000 natural and synthetic IDR sequences, STARLING generates 400 independent conformers in ~12 seconds on a GPU or ~20 seconds on an Apple CPU. Predictions show excellent agreement with both simulations and experimental data from SAXS and single-molecule FRET across diverse sequence chemistries and lengths up to 384 residues. Beyond ensemble prediction, STARLING enables ensemble-aware sequence search — identifying "biophysical look-alikes" across ~35 million IDRs in UniRef50 — and rapid inverse design of sequences with prescribed conformational properties, reducing design time from hours to seconds. It also supports Bayesian maximum-entropy reweighting to integrate experimental restraints. Applied to systems including the Myc transcription factor, RNA polymerase II CTD, and disordered protein complexes, STARLING generates testable hypotheses about how sequence encodes conformational behavior and function. By making ensemble prediction fast, accurate, and accessible via a simple pip-installable tool, STARLING lowers a major barrier to studying the large fraction of the proteome that doesn't fold — but still functions. Paper: nature.com/articles/s4158…

NSF PRFBs are back with a Sep 2026 deadline! nsf.gov/funding/opport…

Cells come in many shapes and sizes, with diverse physiological functions. But how do #organelles and their interaction networks remodel during #differentiation of stem cells into different cell types? Here’s what we discovered about neuronal differentiation: 1/13