I have an opening for a staff scientist or bioinformatician in my group at the Sanger Institute (closing date 24 March). Our current projects focus on disentangling rare and common variant contributions to rare neurodevelopmental conditions and to neurodevelopmental and perinatal traits. 1/2
Delighted to present Latent Interaction Variational Inference (LIVI), a framework for trans-eQTL mapping at single-cell resolution that I developed during my PhD together with colleagues from @steglelab.bsky.social 1/n
The webinar series on spatial transcriptomics analysis is now open for registration!
Join me on 18 March to learn how we at @bayraktarlab.bsky.social integrate single-cell and spatial transcriptomics to map the rules of neurological conditions.
Beyond excited to share my first work with Omer's group at Sanger!
With amazing co-authors Alexander & Fani we are passionate about neurodevelopmental genetics and this work really showed us the power of uncovering new genetics with spatial transcriptomics!
🧵👇 Background / motivation / key results
Very proud of our paper on "scrambling-by-hopping" LADs, which was just published: www.nature.com/articles/s41.... Congrats to Lise Dauban and the rest of the team – this was a real tour-de-force!
Bayraktar, Bassett and Lotfollahi labs are studying how neurodegenerative diseases (ALS, PD, AZ) spatially organise 🧠🧬
Join us to generate & analyse wealths of Xenium data:
- Tech specialist: sanger.wd103.myworkdayjobs.com/en-US/Wellco...
- AI postdoc: sanger.wd103.myworkdayjobs.com/en-US/Wellco...
🧠 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 🧵
I’m happy to share that our scCellFie manuscript is finally on bioRxiv — a project that was an amazing opportunity to return to my roots in metabolism!
We infer metabolic activity from single-cell & spatial transcriptomics 🧬
Read the pre-print here👇
📄 doi.org/10.1101/2025...
Our review "Predicting gene expression from DNA sequence using deep learning models" is finally out! 🤗
Thrilled to share our new @naturecomms.bsky.social study with @sam-n-barnett.bsky.social on early vs late #COVID19 lung damage 🫁.
Using single-cell & histopathology-informed #SpatialTranscriptomics, we uncovered key biomarkers & immune patterns. Thanks to collaborators, UKCIC & @humancellatlas.org
Another great computational method out of the Bayraktar lab!
Alexander Aivazidis has been a great colleague in our lab and it's amazing to see the capstone of his PhD is now published.
And the talented PhD student Feri from @mhaniffa.bsky.social’s
lab is running for Refuge:
supporting women and their children to overcome the impact of domestic abuse.
www.justgiving.com/page/feri-to...
Our lab’s computational wizard @drjimmylee.bsky.social is supporting Alzheimer’s Research UK: www.justgiving.com/page/jimmy4a...
Next weekend I will run the Cambridge half marathon with @sangerinstitute.bsky.social colleagues 🏃♂️
Two amazing people are running for charities, please support them!
This is really horrific. These single cell reference atlases are widely used as is to train all kinds of models! This is one of the reasons I've constantly harping about uniform reprocessing & extremely careful QC of large atlases. 1/
