Experimental × computational immunology｜MD PhD FHEA｜T cells, immunotherapy & cancer｜Tocky & GatingTree developer｜🇯🇵@masahirono
London, UK
Joined April 2013
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🚀Thrilled to announce our new Tocky-CRISPR-Deep Learning paper!
✅ConvNet + Grad-CAM decodes fluorescent timer (Tocky) data
✅Enables single-cell identification of enhancer-dependent Foxp3 transcription dynamics
nature.com/articles/s41467-0…
🔥A step toward data-driven immunology!
Masahiro Ono @ Tocky Lab retweeted
NEXT WEEK @Cambridgeimmuno seminar:
🎓Dr Masahiro Ono @masahirono @MonoTockyLab @imperialcollege
📢‘Measuring Biological Time in T Cells: Integrated Experimental and Computational Approaches to Decoding Dynamic Immune Responses’
📅4-5 PM, Thu 2 Jul
📍JCBC @CamBioCampus
#CITIID
Masahiro Ono @ Tocky Lab retweeted
We’ve also released the mCanonicalTockySeq R package! 📦💻
It reconstructs temporally resolved developmental state spaces by integrating Tocky signalling history into scRNA-seq workflows.
monotockylab.github.io/mCano…
Masahiro Ono @ Tocky Lab retweeted
Delighted to share our new bioRxiv preprint:
biorxiv.org/content/10.64898…
We present mCanonicalTockySeq, which uses the Nr4a3-Tocky system to anchor single-cell transcriptomes in experimental time, allowing resolution of time-dependent thymic development in both mice and humans.
Delighted to share our new bioRxiv preprint:
biorxiv.org/content/10.64898…
We present mCanonicalTockySeq, which uses the Nr4a3-Tocky system to anchor single-cell transcriptomes in experimental time, allowing resolution of time-dependent thymic development in both mice and humans.
We’ve also released the mCanonicalTockySeq R package! 📦💻
It reconstructs temporally resolved developmental state spaces by integrating Tocky signalling history into scRNA-seq workflows.
monotockylab.github.io/mCano…
Masahiro Ono @ Tocky Lab retweeted
Delighted to share our new bioRxiv preprint:
biorxiv.org/content/10.64898…
We present a new approach to resolve T cell temporal states at single-cell resolution in cancer immunotherapy.
My thanks to all co-authors and collaborators.
#Immunology #CancerResearch
Masahiro Ono @ Tocky Lab retweeted
🚀Thrilled to announce our new Tocky-CRISPR-Deep Learning paper!
✅ConvNet + Grad-CAM decodes fluorescent timer (Tocky) data
✅Enables single-cell identification of enhancer-dependent Foxp3 transcription dynamics
nature.com/articles/s41467-0…
🔥A step toward data-driven immunology!
Masahiro Ono @ Tocky Lab retweeted
@biorxivpreprint @masahirono @MonoTockyLab @JehanneHassan @imperialcollege
Temporal Mechanisms of T-Cell Fate Decisions under Immune Checkpoint Blockade Resolved by CanonicalTockySeq
biorxiv.org/content/10.64898… 🇬🇧
I am pleased to share the release of CanonicalTockySeq: Canonical Tocky Analysis for Temporal Gradient on a Transcriptomic Manifold.
This package provides tools for analysing temporal gradients on transcriptomic manifolds within the Tocky framework.
monotockylab.github.io/Canon…
Delighted to share our new bioRxiv preprint:
biorxiv.org/content/10.64898…
We present a new approach to resolve T cell temporal states at single-cell resolution in cancer immunotherapy.
My thanks to all co-authors and collaborators.
#Immunology #CancerResearch
Masahiro Ono @ Tocky Lab retweeted
Honoured that our T-cell immunotherapy research is featured in The Telegraph via Cancer Research UK. Using Tocky, we reveal the behaviour of therapy-responsive and anti-cancer T cells, aiming to further improve immunotherapy approaches to melanoma.
telegraph.co.uk/science/canc…
Honoured that our T-cell immunotherapy research is featured in The Telegraph via Cancer Research UK. Using Tocky, we reveal the behaviour of therapy-responsive and anti-cancer T cells, aiming to further improve immunotherapy approaches to melanoma.
telegraph.co.uk/science/canc…
🚀 Thrilled to share our new paper using Deep Learning and Tocky!
nature.com/articles/s41467-0…
👉 We build on our original Tocky method by integrating CRISPR & deep learning to decode transcriptional dynamics.
🔥 7 years of work - toward data-driven immunology!
Masahiro Ono @ Tocky Lab retweeted
🚀 New paper out!
Our ConvNet + Grad-CAM approach decodes Fluorescent Timer (Tocky) data at single-cell resolution.
Using Foxp3 Tocky, we reveal CNS2-controlled and developmental transcriptional dynamics.
Built on 7 years of work with AI and CRISPR!
nature.com/articles/s41467-0…
Masahiro Ono @ Tocky Lab retweeted
Bored of black-box UMAP and clustering in #Cytometry?
GatingTree skips such methods, directly analyses high-dimensional data, builds reproducible tree paths across markers, and reveals group-specific effects.
No dimensionality reduction, just interpretable gates. 🌳
Masahiro Ono @ Tocky Lab retweeted
🚀 Our next-generation cytometry tool GatingTree now published in #CytometryPartA!
🔗 onlinelibrary.wiley.com/doi/…
GatingTree enables systematic analysis of high-dimensional flow cytometry data, without relying on dimensionality reduction. 💻
🚀 Our next-generation cytometry tool GatingTree now published in #CytometryPartA!
🔗 onlinelibrary.wiley.com/doi/…
GatingTree enables systematic analysis of high-dimensional flow cytometry data, without relying on dimensionality reduction. 💻
Bored of black-box UMAP and clustering in #Cytometry?
GatingTree skips such methods, directly analyses high-dimensional data, builds reproducible tree paths across markers, and reveals group-specific effects.
No dimensionality reduction, just interpretable gates. 🌳
Masahiro Ono @ Tocky Lab retweeted
Dr. @masahirono (@imperialcollege, UK), together with Dr. Nobuko Irie, Dr. Naoki Takeda, @Sato_Y_Lab, and Prof. Kimi Araki, has unveiled a machine learning-powered method to decode transcriptional dynamics using a Fluorescent Timer system.
@NatureComms, doi.org/10.1038/s41467-025-6…
Masahiro Ono @ Tocky Lab retweeted
Plz RT. We are looking for a postdoc to join our collborative project on AI-guided bioengineering of plant immune receptors
@Tolga_Bzkrt
and
@JiorgosKourelis
labs: jobs.ac.uk/job/DNV032/resear…