Hyped to be at the #ESSB #spatial #biology conference together with some of my colleagues from the @saezlab.bsky.social . Great science, beautiful venue, looking forward to the next 1.5 days...
The final chapter of my PhD thesis is now out! 🎉 We compared the latest gene regulatory network (#GRN) inference methods for #single-cell multimodal datasets and evaluated their performance across various tasks. Hard to believe this journey started in March 2021 and has finally reached this point 😅🥳
🎗️On #RareDiseaseDay, we raise awareness for #MYT1L Syndrome, a rare #autism-associated disorder disrupting brain development. Our research at DKFZ, ZI, and Heidelberg University Hospital shows an epilepsy drug may help—future trials ahead!
📑 www.nature.com/articles/s41...
🎥 youtu.be/nYqNEPIOc-8?...
The final version of our multi-omics study on kidney fibrosis is out now (tinyurl.com/kidneyfibMSB). Together w/ Pepperkok + Savitski labs @embl.org, we present a time-resolved #multiomics + computational network modeling approach in combination w/ phenotypic assays to study #kidneyfibrosis
#CellPlasticity—the ability of cells to change their identity—is vital for tissue growth and repair. But when it goes unchecked, it can fuel #cancer. Our latest study examines how to block #LiverCancer by actively suppressing plasticity. www.nature.com/articles/s41... #CancerBiology
Interested in our research? We've created a starter pack so you can now follow our current lab members and alumni. Be sure to check it out! 🥳
🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇
How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 new studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. multimodal cell atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵
We present Gene Regulatory nETwork Analsyis (GRETA), a framework to infer, compare and evaluate gene regulatory networks #GRNs. With it, we have benchmarked multimodal and unimodal GRN inference methods. Check the results here 👇
Paper: doi.org/10.1101/2024.12.20.629764
Code: github.com/saezlab/greta
I wrote a short piece on how becoming an IgA Nephropathy patient has changed my perspective on biomedical research, developing an appreciation for the challenges in data interpretability & availability and the importance of patient engagement www.nature.com/articles/s41...
YouTube video by Deutsches Krebsforschungszentrum (DKFZ)
youtu.be
The transition from data scientist to patient–scientist has given me new perspectives into clinical research and strengthened my commitment to open science. Although limitations on data availability h...
We present Gene Regulatory nETwork Analsyis (GRETA), a framework to infer, compare and evaluate gene regulatory networks #GRNs. With it, we have benchmarked multimodal and unimodal GRN inference methods. Check the results here 👇
Paper: doi.org/10.1101/2024.12.20.629764
Code: github.com/saezlab/greta
We will be at the inaugural #ESSB conference this week in Berlin: @mariapuschhof.bsky.social a talk on multi-modal brain tumor profiling, @psl-schaefer.bsky.social @tanevski.bsky.social a poster on analyzing condition/temporal spatial data, @changlu9.bsky.social @tanevski.bsky.social [1/2]
