Yuri Pritykin
yuripritykin.bsky.social
Yuri Pritykin
@yuripritykin.bsky.social
Assistant Professor at Princeton University Lewis-Sigler Institute for Integrative Genomics (http://lsi.princeton.edu) and
Department of Computer Science (https://www.cs.princeton.edu/). Lab website: https://pritykinlab.github.io/
This work is a wonderful collaboration led by amazing Sarah Walker, with Joris van der Veeken and Sasha Rudensky.
More details in the preprint: doi.org/10.1101/2025...

Looking forward to any feedback! 🙌
Single-cell multiomics reveals archetypal regulatory programs shared across CD4 and CD8 T cell subsets in viral infection
T cells protect against pathogens and tumors and can differentiate into various functionally distinct subsets. While each subset exhibits a characteristic epigenomic and transcriptional profile, essen...
doi.org
September 19, 2025 at 7:24 PM
In sum, we provide:
– A resource and framework for high-resolution T cell regulatory analysis.
– Archetypal regulatory decomposition of core T cell functions across lineages and infection contexts.
– Insights into shared regulatory logic of CD8 progenitors and CD4 Tfh cells.
September 19, 2025 at 7:23 PM
A key challenge is to decompose regulatory programs driving overlapping core T cell functions e.g. self-renewal, expansion, cytotoxicity, cytokine production.
For this, we did archetypal analysis.
It revealed that CD8 progenitors combine CD8 exhaustion & CD4 Tfh archetypes.
September 19, 2025 at 7:23 PM
Surprisingly, these progenitor CD8 T cells were transcriptionally & epigenomically most similar to CD4 Tfh (follicular helper) cells.
Despite distinct lineages, they shared activity of CXCR5, BCL6, TOX, TCF1, ID3 and PD-1.
This suggests converging cellular phenotypes.
September 19, 2025 at 7:23 PM
Notably, fundamentally and translationally important Tcf1⁺ progenitor CD8 T cells formed a shared population across acute & chronic infection.
These results help reconcile recent studies of several related populations.
September 19, 2025 at 7:22 PM
We profiled 31k+ T cells with scATAC+RNA-seq during acute & chronic viral infection and built a 285-sample ATAC-seq atlas.
This enabled robust identification of all major T cell states: naive, effector, memory, Treg, Tfh, exhausted & progenitor, shared across infection conditions.
September 19, 2025 at 7:21 PM
Thanks Lee! In short, I think it's possible, and Drosophila is a good system for this, but the outcome depends on the loop. We described several classes, now working on a more detailed classification.
Some perturbations have already been reported, e.g. for tethering elements etc. but not at scale
September 18, 2025 at 4:45 AM
A wonderful collaboration with the Mike Levine &
Olga Troyanskaya labs!

More papers and preprints from the lab coming soon — stay tuned!

pritykinlab.github.io
Pritykin Lab
Pritykin Lab at the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University.
pritykinlab.github.io
September 16, 2025 at 7:59 PM
We find 3D chromatin structures earlier than previously thought — before zygotic genome activation — and persisting through mitosis. Developmental elements linked to GAF/Zelda act as conserved bookmarks for gene regulation.
September 16, 2025 at 7:58 PM
Come talk to me at #ISMBECCB2025 this week if interested in this opportunity
July 23, 2025 at 2:22 PM
Reposted by Yuri Pritykin
For CSI COSI, I am very thankful to my co-chair Jishnu Das and steering committee @yuripritykin.bsky.social, Hatice Ulku Osmanbeyoglu, Aly Azeem Khan. And everyone who submitted their for consideration for this session www.iscb.org/ismbeccb2025...
CSI: Computational Systems Immunology
ISCB - International Society for Computational Biology
www.iscb.org
July 21, 2025 at 8:29 AM