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Posts by Assaf Zaritsky

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Cell Modeling in Space and Time at CSHL - FocalPlane Cell Modeling in Space and Time at CSHL -

Join us at the first @cshlnews.bsky.social (CSHL) meeting on Cell Modeling in Space and Time, taking place June 22-25, 2026 💫

Abstract deadline is April 10th, meetings.cshl.edu/meetings.asp...

Read the @focalplane.bsky.social post focalplane.biologists.com/2026/04/03/c...

2 weeks ago 7 3 0 0

@erinweisbart.bsky.social & @bethcimini.bsky.social discuss our recent paper on anomaly-based representations for image-based phenotypic profiling. They explain how we encode morphological inter-feature dependencies while maintaining biological interpretability 🔥

📄 Paper: doi.org/10.1016/j.ce...

1 month ago 5 4 0 0

Thanks for highlighting our paper! I really enjoyed the podcast ✨

1 month ago 1 0 0 0
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GitHub - zaritskylab/TNBC-SPATIAL-CHROMATIN-COMPACTION: Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer - zaritskylab/TNBC-SPATIAL-CHROMATIN-COMPACTION

A full collaborative effort w/ Maddy Parsons (KCL) 🤝

Led by Reut Mealem & Leor Rose (computation) + Tom Phillips (experiments) with @lankylaste.bsky.social 💫

Code: github.com/zaritskylab/...

Data: www.ebi.ac.uk/biostudies/b...

Supported by @WellcomeLeap ΔTissue

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4 months ago 2 1 0 0

Key findings:

1️⃣ Beyond Bulk: Single-nuclei distributions, not bulk averages, drive prediction.

2️⃣ Spatial Topology: GNNs reveal where these nuclei matter.

3️⃣ Chromatin Memory: This signature persists post-treatment - an intrinsic property of the resistant ecosystem.

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4 months ago 2 0 1 0
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🚨 New @biorxivpreprint! 🧬💻

Can the spatial architecture of chromatin predict chemoresponse?

We integrated FLIM imaging + ML to show that spatially organized "open" chromatin states in pre-treatment biopsies predict resistance in TNBC.

www.biorxiv.org/content/10.6...

🧵

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4 months ago 4 2 1 0
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TOMORROW is the deadline to apply for the #LakeConference on Modeling Life from Cells to Tissues!

📆 April 20-22, 2026
📍 Seattle, USA
🧠 All career stages welcomed.

Learn more and apply: https://alleninstitute.org/events/aics-lake-2026/

#StemCell #DevBio

4 months ago 0 1 0 0
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Join us TODAY (4 pm, Room118) for the "Future of Cell Biology" session at #CellBio2025!

Hosted by the @ascbiology.bsky.social's journal Molecular Biology of the Cell (MBoC)

Hope to see you there ☺️

4 months ago 3 1 0 0
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🤣🤣

4 months ago 1 0 0 0

Thanks Maria!

5 months ago 0 0 0 0

Somehow missed acknowledging Alon Shpigler, the first author 😱

5 months ago 0 0 0 0
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Congratulations to Naor Kolet who led this project and thanks to co-authors Shahar Golan for his contribution and to @erinweisbart.bsky.social l for her critical insights regarding interpretability 🎉

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5 months ago 0 0 0 0

Anomaly-based representations have several benefits:
1. Reducing batch effects
2. Improving reproducibility and mechanism of action classification
3. Complementing classical representations
4. Revealing alterations in biologically interpretable dependencies

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5 months ago 0 0 1 0
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Our paper is out ✨

doi.org/10.1016/j.ce...

We propose a self-supervised anomaly representation that encodes morphological inter-feature dependencies for high-content image-based cell phenotyping!

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5 months ago 2 0 3 1

Join us!

6 months ago 0 0 0 0

Jennifer Lippincott-Schwartz, Emma Lundberg, Alex Mogilner, Maddy Parsons, @loicaroyer.bsky.social, Guillaume Salbreux, Anđela Šarić, Timm Schroeder, Hervé Turlier, @virginieuhlmann.bsky.social, Vincenzo Vitelli

Please save the date and spread the word!

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6 months ago 2 0 0 0

Co-organized with Meghan Driscoll, @quantumjot.bsky.social and Susanne Rafelski

Speakers include: @kevin-dean.bsky.social, @ellenberglab.bsky.social, Margaret Gardel, @florianjug.bsky.social, @krishnaswamylab.bsky.social, @levayerr.bsky.social, @priscaliberali.bsky.social, ...

6 months ago 8 1 1 0
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Excited to announce the first @cshlnews.bsky.social meeting on Cell Modeling in Space and Time, June 2026 💫

meetings.cshl.edu/meetings.asp...

Bringing together experiments, computation and theory to explore dynamic, multi-scale cellular organization and function!

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6 months ago 25 7 2 0
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Nature Biomedical Engineering is hiring again! This time we're hoping to add an editor with machine learning expertise to the team (although we are open to those with other relevant expertise!) Deadline is Oct 20. Please RT! springernature.wd3.myworkdayjobs.com/SpringerNatu...

6 months ago 17 18 1 2
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📢We're #hiring Group Leaders!

Apply to lead a lab at Janelia & advance biology using theory, computational modeling & machine learning.

🔹5-year renewable appointment
🔹Pioneer new tools & approaches
🔹Collaborate across disciplines

Apply by Nov. 4👉 https://janelia.link/groupleader

7 months ago 63 65 0 2
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We are searching for an enthusiastic scientist to join our team and establish annual killifish as a model system for early developmental biology and biophysics! @embl.org @embldbunit.bsky.social

Apply here:
embl.wd103.myworkdayjobs.com/EMBL/job/Hei...

Please re-post 🙏

8 months ago 38 26 2 2
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Data-driven modeling of inter-organelle dynamic interactions throughout differentiation with multispectral and label free live imaging With funding from the Allen Distinguished Investigators program, these investigators hypothesize that complex and dynamic patterns of organelle connection and communication are distinctive across diff...

How do organelles change over the course of a stem cell’s life?

ADIs @cohenlaboratory.bsky.social, @assafzaritsky.bsky.social , and @mattersoflight.bsky.social are using ML and cell engineering to explore the #FrontierScience of stem cell differentiation.
alleninstitute.org/division/fro...

9 months ago 8 4 0 0
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BIG start to #mmc2025 with Assaf Zaritsky giving an awesome opening plenary.

@royalmicrosoc.bsky.social @eurobioimaging.bsky.social @globias.bsky.social @bioimaginguk.bsky.social @globalbioimaging.bsky.social

9 months ago 19 4 1 2

Sorry, I meant @leeat-keren.bsky.social and Yael Amitay....

11 months ago 0 0 0 0
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A creative and technically challenging idea led by @zamir_amos, with key contributions from Yuval Tamir and @yaelam75. This would not have been possible without the great collaboration with @leeat_keren! And thanks to @WellcomeLeap ΔTissue for funding!

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11 months ago 0 0 1 0
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GitHub - zaritskylab/CISM: A two-step method to identify local interconnected cell structures associated with a disease state in single cell spatial proteomics data A two-step method to identify local interconnected cell structures associated with a disease state in single cell spatial proteomics data - zaritskylab/CISM

CISM source code is publicly available github.com/zaritskylab/...

Also, check CISM’s backbone FANMOD+, that enables efficient motifs extraction in “multi-colored” networks github.com/zaritskylab/...

Try it out!

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11 months ago 0 0 1 0
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Our results suggest that the local organization of a few cells in discriminative motifs are emergent properties that may define an intermediate spatial scale driving tissue function

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11 months ago 0 0 1 0
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CISM’s unsupervised motif enumeration followed by supervised context-dependent selection distils the discriminative motifs from the huge and noisy landscape of all putative sub-networks of intercellular interactions and provides discrimination along with interpretability

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11 months ago 0 0 1 0
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To demonstrate the general applicability of CISM for identifying local cellular structures linked to disease states, we applied it to investigate the tumor microenvironment in a human cohort of Breast Cancer (TNBC) patients, comparing short-term and long-term survivors.

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11 months ago 0 0 1 0
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The same motifs can be differentially analyzed according to different context-dependent selection of the discriminative motifs. We demonstrate this by investigating the immune microenvironment of NP versus PN (metastatic lymph nodes that did not develop distant metastases)

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