Masahiro Ono @ Tocky Lab

Immunologist | Creator and Developer of Tocky |
Integrative Experimental and Computational Immunology |
T cells | Cancer
Imperial College London

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

🚀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
https://t.co/YAQepboYJs
🔥A step toward data-driven immunology!

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

We’ve also released the mCanonicalTockySeq R package! 📦💻
It reconstructs temporally resolved developmental state spaces by integrating Tocky signalling history into scRNA-seq workflows.
https://t.co/GoC8G0LLb2

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

Delighted to share our new bioRxiv preprint:
https://t.co/Frc6kIYb0q
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.

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

We’ve also released the mCanonicalTockySeq R package! 📦💻
It reconstructs temporally resolved developmental state spaces by integrating Tocky signalling history into scRNA-seq workflows.
https://t.co/GoC8G0LLb2

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

Delighted to share our new bioRxiv preprint:
https://t.co/Frc6kIYb0q
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.

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

Delighted to share our new bioRxiv preprint:
https://t.co/eF7ujfGWZh
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 @MonoTockyLab]

🚀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
https://t.co/YAQepboYJs
🔥A step toward data-driven immunology!

[Waggoner Lab @LabWaggoner]

@biorxivpreprint @masahirono @MonoTockyLab @JehanneHassan @imperialcollege
Temporal Mechanisms of T-Cell Fate Decisions under Immune Checkpoint Blockade Resolved by CanonicalTockySeq
https://t.co/LPjay6cLwd 🇬🇧

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

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.

https://t.co/iRHTE9nu3i

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

Delighted to share our new bioRxiv preprint:
https://t.co/eF7ujfGWZh
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 @MonoTockyLab]

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.
https://t.co/smvDMZhYDe

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

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.
https://t.co/smvDMZhYDe

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

🚀 Thrilled to share our new paper using Deep Learning and Tocky!
https://t.co/YAQepboYJs
👉 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 @MonoTockyLab]

🚀 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!
https://t.co/YAQepbpwz0

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

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 @MonoTockyLab]

🚀 Our next-generation cytometry tool GatingTree now published in #CytometryPartA!
🔗 https://t.co/P8M5xlgcnY

GatingTree enables systematic analysis of high-dimensional flow cytometry data, without relying on dimensionality reduction. 💻

[Masahiro Ono @ Tocky Lab @MonoTockyLab]

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 @MonoTockyLab]

🚀 Our next-generation cytometry tool GatingTree now published in #CytometryPartA!
🔗 https://t.co/P8M5xlgcnY

GatingTree enables systematic analysis of high-dimensional flow cytometry data, without relying on dimensionality reduction. 💻

[Satou Lab - Hokkaido University @Sato_Y_Lab]

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, https://t.co/PL68uYCLUx

[Tolga Bozkurt @Tolga_Bzkrt]

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: https://t.co/HipazXeyiI