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Updated: Jun 17, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

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Integrating Single-Cell Biophysical and Transcriptomic Features to Resolve Functional Heterogeneity in Mantle Cell

Ye Zhang¹, Lydie Debaize², Adam Langenbucher³

¹Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.

Biorxiv : the Preprint Server for Biology

|June 6, 2025

Summary

This summary is machine-generated.

Single-cell biophysical properties like mass and stiffness reveal distinct cancer cell phenotypes. These cell characteristics correlate with treatment response, offering new biomarkers for precision medicine.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Biophysics
Cancer Biology
Immunology

Background:

Intra-tumor heterogeneity complicates cancer progression and treatment resistance.
Conventional methods inadequately characterize this cellular diversity.
Single-cell biophysical properties offer complementary insights into functional phenotypes.

Purpose of the Study:

To link single-cell biophysical properties (buoyant mass, stiffness) to gene expression in mantle cell lymphoma (MCL).
To identify clinically relevant phenotypes within MCL cells using biophysical measurements.
To explore the potential of biophysical properties as biomarkers for therapeutic response.

Main Methods:

Linking single-cell buoyant mass and stiffness measurements to gene expression analysis.
Utilizing primary mantle cell lymphoma (MCL) cells as a model system.
Correlating biophysical property changes with *ex vivo* and *in vivo* treatment sensitivity.

Main Results:

Buoyant mass and stiffness characterize B-cell development states and correlate with oncogenic signaling gene expression (e.g., BLK, CD79A).
Changes in cell buoyant mass in patient samples correlate with sensitivity to Bruton's Tyrosine Kinase inhibitors.
These correlations were observed in both MCL and chronic lymphocytic leukemia.

Conclusions:

Biophysical properties are valuable for identifying distinct cancer cell phenotypes.
Cellular buoyant mass and stiffness can serve as predictive biomarkers for therapeutic response.
This approach supports the development of precision therapeutic strategies in B-cell malignancies.