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/
Department of Computer Science (https://www.cs.princeton.edu/). Lab website: https://pritykinlab.github.io/
Huge congrats to Gabe Dolsten on a fantastic PhD defense last week!!! The 1st PhD from the lab! So proud of his many research achievements e.g.:
doi.org/10.1038/s415...
doi.org/10.1101/2025...
doi.org/10.1016/j.xg...
He's bound to do amazing things ahead!
doi.org/10.1038/s415...
doi.org/10.1101/2025...
doi.org/10.1016/j.xg...
He's bound to do amazing things ahead!
November 12, 2025 at 8:55 PM
Huge congrats to Gabe Dolsten on a fantastic PhD defense last week!!! The 1st PhD from the lab! So proud of his many research achievements e.g.:
doi.org/10.1038/s415...
doi.org/10.1101/2025...
doi.org/10.1016/j.xg...
He's bound to do amazing things ahead!
doi.org/10.1038/s415...
doi.org/10.1101/2025...
doi.org/10.1016/j.xg...
He's bound to do amazing things ahead!
Happy to present today at AAI Introduction to Computational Immunology Course today at UPenn
October 18, 2025 at 3:01 PM
Happy to present today at AAI Introduction to Computational Immunology Course today at UPenn
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.
For this, we did archetypal analysis.
It revealed that CD8 progenitors combine CD8 exhaustion & CD4 Tfh archetypes.
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.
For this, we did archetypal analysis.
It revealed that CD8 progenitors combine CD8 exhaustion & CD4 Tfh archetypes.
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.
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
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.
Despite distinct lineages, they shared activity of CXCR5, BCL6, TOX, TCF1, ID3 and PD-1.
This suggests converging cellular phenotypes.
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.
These results help reconcile recent studies of several related populations.
September 19, 2025 at 7:22 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.
These results help reconcile recent studies of several related populations.
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.
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
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.
This enabled robust identification of all major T cell states: naive, effector, memory, Treg, Tfh, exhausted & progenitor, shared across infection conditions.