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danilexn.bsky.social
Open-ST • Computational Modeling of Spatial Omics @mdc-berlin.bsky.social • PhD Candidate Occasional composer and pianist • he/him https://rajewsky-lab.github.io/openst
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Pavel Tomancak asks everyone who uses FIJI in the crowd to stand ... and dammit, 90% of the crowd stood. What a testament to the power of such tools. #DROS25

UCSF, like all UC campuses, announced an immediate hiring freeze today. UCSF is the second largest employer in the city. There will be wide ripple effects in the Bay Area and beyond, including the future of biotech and pharma in the area. 🧪

Our paper benchmarking feature selection for scRNA-seq integration and reference usage is out now www.nature.com/articles/s41...! Keep reading for more about how we did the study and what we found out 🧵 👇 1/16

🚨 Paper Alert 🚨 Absolutely delighted to share our last paper on "spatial mechano-transcriptomics" @naturemethods👇!! www.nature.com/articles/s41...

Using gene–gene covariance structure to represent cellular neighborhoods improves the integration of single-cell RNA sequencing and spatial transcriptomics data go.nature.com/4auQI72 rdcu.be/ebBiU

Happy Friday youtu.be/CS7MA5osGq0

When they announce more funding for science, a chunk of the budget magically disappears in the ‘unexecuted funds’ black hole. But when they pledge to increase military spending? Oh, you can bet every cent will be locked, loaded, and spent. Efficiency depends on the target, I guess.

If you’ve got $20,000 a month to spend on a “PhD level” ai agent, just hire a person.

Pearson correlation FTW

geneRNIB: a living benchmark for gene regulatory network inference www.biorxiv.org/content/10.1... 🧬🖥️🧪 github.com/openproblems...

☕️Afonso et al. show that, during #anaphase, chromosome movement can be driven by large cytoplasmic flows. These dynein-dependent cytoplasmic flows scale with cell size, slowing in smaller cells, thereby scaling anaphase. bit.ly/41k8XsG

Review | Decoding cell–cell communication using spatial transcriptomics www.nature.com/articles/s41...

This is from the Illumina #AGBT25 workshop about their ST tech. But, from our observations, under heavy lateral diffusion (real or simulated), clustering on large sets of genes (i.e. “whole transcriptome”) leads to niche- rather than cell-type clustering. This might be problematic.

Cristina Almagro-P\'erez, Andrew H. Song, Luca Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F. K. Williamson, Konstantin Hemker, Ming Y. Lu, Kritika Singh, Bowen Chen, Long Phi Le, Alexander S. Baras, Sizun Jiang, ... AI-driven 3D Spatial Transcriptomics https://arxiv.org/abs/2502.17761

Open-ST is such a great method.

That’s it?

"Genes are... the easy part" @philipcball.bsky.social argues biologists need to embrace complexity from the start, rather than beginning with oversimplified "one gene, one trait" models +1 www.cell.com/cell-systems...

Compare and contrast the emails from McKnight (left) and Chan-Zuckerberg (right). Proud to be part of the McKnight community.

“but we have put a lot of investment in R&D” aka: reading the seq-scope and Open-ST papers.

I am so sorry, Mr. Busoni, that my hands are not big enough.

SpaceBar enables clone tracing in spatial transcriptomic data [new] Enables clone tracing in spatial transcriptomics via combinatorial barcoding, differentiating clonal vs. environmentally-driven gene expression.

📣📣Genomic data sharing: you don’t know what you’ve got (till it’s gone) www.nature.com/articles/s41... A comment @natrevgenet.bsky.social from @katholt.bsky.social and me

Irregular timberland killed me

New #preprint from the lab! Do you want to see the invisible? So did we! When DNA genomes get broken, cells somehow find related sequences to fix the break. But how do they find it? We developed a way to look at sequence *search*, not just sequence usage. doi.org/10.1101/2025...

Are protein language models the universal key? doi.org/10.1016/j.sb... Brilliant and thoughtful piece.

And the same happens with genome-based LLMs. Who’s really, systematically looking at sequence similarity?

🔬🎤 As pre-announced a few days ago... please let us proudly present to you: 𝑴𝒊𝒄𝒓𝒐𝕊𝒑𝒍𝒊𝒕 - your ticket to imaging more, imaging more gentle, and/or imaging more efficient. 🔬 doi.org/10.1101/2025... Like ❤️, repost 🔂, and most importantly... please send feedback ✉️ our way! 🙏

👋🏻💻🧬

Title: our new super-cool bioinformatics method solves cancer. Paper: we found that β-Catenin is important in cancer.

AIR-SPACE: integrative high-res spatial transcriptomics paired w/ high-fidelity long-read sequencing of TCR/BCR reveals adaptive antiviral immune response in lymph nodes doi.org/10.1101/2025...

Genomic Foundationless Models: Pretraining Does Not Promise Performance I've long believed genomic foundation models are not as useful as claimed. In my mind, there isn't enough training data to justify their size. Interesting to see more work in this direction. www.biorxiv.org/content/10.1...

🎼Spark #9: SooJin Anjou & Shanshan Yao wowed us with performances of works by Sidney Corbett, A. Dvorák & Amy Beach. Anjou, Yao & Corbett then discussed with @michaelsigal.bsky.social, @danilexn.bsky.social, N. Rajewsky & attendees about ‘Focus: The long and the short of it’ @mdc-berlin.bsky.social

Connecting gene activity & precise location of protein function by Deterministic Barcoding in Tissue sequencing (DBiTplus) 📷: Archibald Enninful, Zhaojun Zhang et al Mina Xu, Zongming Ma @rongfan8.bsky.social @yale.edu in @biorxivpreprint.bsky.social ➡️: bpod.org.uk/archive/2025... & AntDLewis

This is beyond everything else youtu.be/R76MEBpldEs

A multi-omics spatial framework for host-microbiome dissection within the intestinal tissue microenvironment www.nature.com/articles/s41... @garrypnolan.bsky.social @naturecomms.bsky.social