We would like to congratulate this year's YoungEHA Best Abstract Award winners on their excellent work: 👏 Mathis Mottelson 👏 Jani Huuhtanen 👏 Natalia Borbaran Bravo 👏 Sascha Haubner #hematology #EHA2023 #EHA #YoungEHA

Thank you YoungEHA and European Hematology Association for this honour! And thanks to all the coauthors, especially the co-champion Sofie Lundgren of this exciting journey of NK and antigen-specific T cells

#EHA23 Deep characterization of immune aplastic anemia by Jani Huuhtanen HRUH hematology #EHA2023

Jani Huuhtanen well deserved prize on this outstanding abstract delving with single cell-level data on adaptive and innate immunity in AA at #EHA2023 European Hematology Association YoungEHA The EBMT Trainee Committee congrats!!!

If you’re into NK cells join for the virtual Science-in-Focus session at #EHA2023 #EHA23 in a couple of hours (13:15 CEST): eha2023.ehaweb.org/eha/eha2023/en…

Thank you for a really interesting and inspiring time with Satu Mustjoki‘s lab. Amazing work with NK cells and single cell transcriptomics. Thank you to Jani Huuhtanen for showing us beautiful #Helsinki.

Excited to share our preprint studying T cells at single-cell resolution– we find a TCR signature that makes some T cells more likely to respond to any antigen! With Soumya Raychaudhuri সৌম্য রায়চৌধুরী, at Broad Institute and Harvard Medical School 🧵 biorxiv.org/content/10.110…

Miksi Helsingin yliopiston University of Helsinki sijoitus on laskenut? Mihin kriteereihin #ShanghaiRanking perustuu? Selvitän näitä kysymyksiä alla olevassa ketjussa dataan pohjautuen: 1/

1/8 New preprint: generative modeling of AIRR repertoires, the last piece of my PhD, >2 years of work, a project that is very dear to me biorxiv.org/content/10.110…

New paper out: "Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data" - "We find that both methods identified approximately 75% of the raw data as noise." Tag: #Tcell #SingleCell #bioinformatics for #immunoTherapy Application nature.com/articles/s4159…

1/n By applying probabilistic models implemented in scVI-tools, we created a transcriptional reference map of human blood and tissue resident NK (TrNK) cells from normal tissues including blood, pancreas, lung, breast, skin, prostate and brain. biorxiv.org/content/10.110…

The IMMREP23 Kaggle #TCR-#epitope specificity #MachineLearning #prediction challenge is live now! Spread the word! airr_community @iRecRepPapers kaggle.com/competitions/t…

"Active NK cells and anti-PR1 T cells could help maintain treatment-free remission in patients discontinuing tyrosine kinase inhibitor treatment for chronic myeloid leukemia." Outstanding work from Satu Mustjoki's group in Helsinki. nature.com/articles/s4137…

Fantastic chance to do a funded PhD with cutting-edge techonologies with highly innovative, ambitious, and supportive mentor in leukemia!

Congrats to all my co-authors and excited to see how this scRNA-seq and CRISPR resource can benefit the NK field moving forward!

Learning predictive signatures of HLA type from T-cell repertoires biorxiv.org/cgi/content/sh… #biorxiv_immuno

Incredibly excited to share our latest work exploring the antigen specificity of clonally-expanded CSF-enriched CD8+ T cells in MS  #multiplesclerosis #Tcells #EBV 🧵1/ biorxiv.org/content/10.110…

👋👋👋 Mitochondrial DNA mutations - how do we use them productively for understanding #clonal #evolution in #leukemia? How do they relate to somatic mutations? What about rare cells? Today, I'd like to share my recent #singlecell work in Blood Cancer Discovery doi.org/10.1158/2643-3… /n

A cell intrinsic NKG2A/C switch receptor to overcome the critical HLA-E checkpoint. Fun collaboration with the Michel Sadelain lab. Michelle Sætersmoen, Ivan Kotchetkov, Dr. Lamberto Torralba-Raga Precision Immunotherapy Alliance UiO - Det medisinske fakultet Oslounivsykehus Center for Infectious Medicine

We went to look for T cell specific responses in autoimmunity, but found NK cells instead. We studied aplastic anemia, one of the best characterized CD8+ T cell mediated AIDs with >200 samples with scRNA-seq, TCRseq, machine-learning; dig into the tweetorial below (or Zenodo)!