
Michele Ceccarelli
@mceccarelli
Prof. of Computational Oncology, Sylvester Comprehensive Cancer Center, University of Miami, Miami. Expertise: cacio e pepe, double bass walking.
ID: 83317674
http://www.ceccarellilab.org 18-10-2009 07:22:54
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My first-author PhD thesis work is published in nature ! 🧬🔬🎉 I’m beyond grateful for this moment and for everyone who supported me! UCSF Neurosurgery Okada Lab @ UCSF Joe Costello Klebanoff_Lab RNA Splicing aberrations generate tumor-wide neoantigens! nature.com/articles/s4158…

Thrilled to share our UM SVI LAB work published today in Journal of Clinical Investigation focused on harnessing viral mimicry to activate immunotherapy for #GBM. Thanks to all of my Sylvester Comprehensive Cancer Center UM Neurosurgery colleagues for their invaluable contributions! jci.org/articles/view/…



CHOIR is now online Nature Genetics! CHOIR is a new clustering method for single-cell data that evaluates whether clusters represent statistically distinct cell populations. CHOIR scales to millions of cells and works with single-/multi-omic data of any type! nature.com/articles/s4158…

Happy to share our recent take on #Tcell #exhaustion in #cancer and #infection, now out at Nature Rev Immunol. Kudos to Cell Stress & Immunity (CSI) Lab for taking the lead here, and to our co-authors offtwitter(?)!! Available at rdcu.be/ehm67 Fox Chase Cancer Center


Excited to share our exploration Nature Methods into new horizons opening up in the era of low cost sequencing! 🔥 Deeper sequencing at WGS scale for PPM sensitivity of tumor informed MRD 🔥Duplex sequencing at WGS scale for plasma only exploration of ctDNA Check out thread 👇

Delighted to share a step-by-step protocol for spatially resolved epigenome-transcriptome co-sequencing to map tissue development, aging & disease. Fully committed to open science!! SenNet Consortium Human BioMolecular Atlas Program (HuBMAP) NIH Common Fund @NCIHTAN nature.com/articles/s4159…




What if LLMs could “read” & “write” biology? 🤔 Introducing C2S‑Scale—a Yale University + Google AI Google DeepMind collab: we scaled LLMs (up to 27 B!) to analyze & generate single‑cell insights by turning transcriptomes into text 🧬➡️📝 🔗 Blog: research.google/blog/teaching-… 🔗 Preprint:






14/ Want to learn more? Read our regulatory paper biorxiv.org/content/10.110… and companion spatial multi-omics study biorxiv.org/content/10.110… Watch out for a separate 🧵from Omer Ali Bayraktar on conserved spatiotemporal trajectories in GB



1/11 Our study on subclonal immune evasion in non-small cell lung cancer has just been published in Cancer Cell cell.com/cancer-cell/fu…

Excited to share a milestone published in Nature Medicine from our decade-long effort to build The Human Phenotype Project, a unique longitudinal cohort with unmatched depth of clinical and multi-omic profiling, enabling truly predictive, personalized medicine. Led together with
