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Related Experiment Video

Updated: Jan 23, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Temporal tissue dynamics from a spatial snapshot.

Jonathan Somer^1,2, Shie Mannor³, Uri Alon⁴

¹Department of Electrical & Computer Engineering, Technion Israel Institute of Technology, Haifa, Israel. jonathan.somer@gmail.com.

|January 21, 2026

Summary

This summary is machine-generated.

This study introduces one-shot tissue dynamics reconstruction (OSDR), a novel method using spatial proteomics to model cell population changes from a single biopsy. OSDR reveals cell interaction dynamics in breast cancer, predicting treatment response.

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Area of Science:

Cellular dynamics
Tissue engineering
Computational biology

Background:

Understanding dynamic cellular processes in native tissues is crucial for studying diseases like cancer and inflammation.
Current methods, like biopsies, provide only static snapshots, limiting the study of cell population evolution over time.

Purpose of the Study:

To develop a method for reconstructing tissue cell population dynamics from a single tissue sample.
To apply this method to analyze cell interactions and predict outcomes in human breast cancer.

Main Methods:

One-shot tissue dynamics reconstruction (OSDR) utilizes spatial proteomics to infer cell division rates based on neighborhood composition.
OSDR generates a dynamical model of cell population changes over time from a single biopsy.
The method was applied to human breast cancer data and validated with co-culture experiments.

Main Results:

OSDR reconstructed fixed points of fibroblast and macrophage interactions, correlating with hot and cold fibrosis.
A pulse-generating circuit involving T and B cells in the tumor microenvironment was identified, suggesting dynamic immune responses.
OSDR predicted tumor cell population collapse in responders versus non-responders in a triple-negative breast cancer trial using early-treatment biopsies.

Conclusions:

OSDR enables the analysis of complex tissue dynamics and cell population evolution using single tissue samples.
This approach has significant implications for understanding disease progression, immune responses, and predicting treatment efficacy in various spatial proteomics applications.