Julien Racle

Research associate @LudwigInstitute @UNIL. Using computational biology to track the interplay between cancer and immune cells.

[David Gfeller @GfellerD]

Happy to share the version of records of @gabriel_aurelie's paper: Robust estimation of cancer and immune cell-type proportions from bulk tumor ATAC-Seq data https://t.co/HF0a2iGnuS

[Francesca Finotello @Francesca_Fin_]

Need help for investigating tissue complexity from spatial transcriptomic data? Try out our #spacedeconv R package!

https://t.co/5qZkxb4GoS

[David Gfeller @GfellerD]

Thrilled to share the beautiful manuscript of @GiancarloCroce8 describing a highly collaborative project with Steven Dunn at CHUV: Phage display profiling of CDR3β loops enables machine learning predictions of NY-ESO-1 specific TCRs https://t.co/Wc7tInset4

[David Gfeller @GfellerD]

Great work by Matei Teleman. SuperSpot: Coarse Graining Spatial Transcriptomic Data into Metaspots https://t.co/GOjwFJ7sjA

[Francesca Finotello @Francesca_Fin_]

📢New preprint alert: #Benchmarking second-generation methods for cell-type #deconvolution of #transcriptomic data

https://t.co/MhLf5Eo3yY

A thread 🧵👇

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[Santiago Carmona 🧬 🖥️ @carmonation]

Happy to share an exciting work from the lab in collaboration with François Kuonen and team!
Many studies have established the impact of wounding on early steps of tumor initiation. However, little is known about the effect of wounding on progression of established human tumors.

[David Gfeller @GfellerD]

Building and analyzing metacells in single-cell genomics data | Molecular Systems Biology https://t.co/rIBBNrBg7U

[Julien Racle @JulienRacle]

@IztfE @MedEssen @TheEBMT_CTIWP Congrats Luisa and Esteban for these great works!

[Julien Racle @JulienRacle]

@IztfE @ConferenceEfi @GfellerD @michal_bassani Thank you!
Was great meeting you and also listening to your talk!

[David Gfeller @GfellerD]

Predicting MHC-I ligands across alleles and species: How far can we go? https://t.co/7sJDis6XOQ. Great work by Daniel Tadros @DanielTadros10

[SIB @ISBSIB]

“This study represents a significant breakthrough, as it shifts the paradigm in the understanding of MHC Class II peptides and their recognition by CD4+ T cells.”

🥁 One of the #SIBRemarkableOutputs 2023 👏

👉 More: https://t.co/RHJYbHeEnw

#machinelearning #CancerResearch

[Santiago Carmona 🧬 🖥️ @carmonation]

don't agree with @BioRender, contribute to @simonduerr open source Bioicons! https://t.co/3jofomUHsr

[David Gfeller @GfellerD]

Published version of the MixTCRpred paper: https://t.co/t1DFQsqBlJ. Great work by the fantastic @GiancarloCroce8 . Stay tuned - his next story is coming out shortly 😉.

[Francesca Finotello @Francesca_Fin_]

New #immunedeconv release available on @github 🎉
https://t.co/8wTeW3wrA3

- 2 new methods for human-data #deconvolution
- Support for mouse data deconvolution (4 new methods + human-to-mouse extension of all methods for human data)

[Oncology UNIL CHUV @OncoUNILCHUV]

💡NEW study from Barras et al. in melanoma patients shows T cell-myeloid cellular networks mediate response to adoptive T cell therapy, in @SciImmunology
#CancerResearch #cancerday
@CoukosGeorge @DangajD @Ludwig_Cancer @unil @CHUVLausanne
➡️https://t.co/SDhdJHcHNR

[Julien Racle @JulienRacle]

@carmonation Congrats Santiago and Massimo, great work!

[Santiago Carmona 🧬 🖥️ @carmonation]

Happy to share the peer-reviewed version!⛺️
Now including additional analyses of i) impact of celltype composition imbalance across samples, and ii) noise in celltype labels on integration performance. Thanks to reviewers & editor for constructive feedback
https://t.co/DU0PGRLNnH

[Daniela Latorre @LatorreDanielaa]

🔬 Delighted to share our lab's debut paper in @Nature. We unveil the first proof of autoreactive CD4+and CD8+ #Tcells infiltrating and targeting peripheral nerves in #Guillain-Barré Syndrome patients, reshaping our understanding of #GBS #autoimmunity. 👉 https://t.co/WlghuTA6cd

[IdoAmitLab @IdoAmitLab]

We are very excited to present the development of Zman-seq (“Zman”, Hebrew for “time”), the 1st technology that measures single-cell transcriptomes and physical time in vivo, led by @D_Birschenkaum, @CuriousKX, @FlorianIngelfi1, @AssafWeiner
https://t.co/pDk6ackAtV. (1/19)

[Julien Racle @JulienRacle]

Very happy to share our preprint:
- introducing a new feature for MixMHC2pred allowing to make predictions for any MHC-II allele based on its AA sequence;
- further detailing step by step how to predict MHC-II ligands and epitopes with MixMHC2pred.
https://t.co/fRb3kxwroO