Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma

Intra-tumor heterogeneity impacts disease progression and therapeutic resistance but remains poorly characterized by conventional histologic, immunophenotypic, and molecular approaches. Single-cell biophysical properties distinguish functional phenotypes complementary to these approaches, providing additional insight into cellular diversity. Here, we link both buoyant mass and stiffness to gene expression to identify clinically relevant phenotypes within primary mantle cell lymphoma (MCL) cells, employing MCL as a model of biological and clinical diversity in human cancer. Linked measurements reveal that buoyant mass and stiffness characterize B-cell development states from naïve to plasma cell and correlate with expression of oncogenic B-cell receptor signaling genes such as BLK and CD79A. Additionally, changes in cell buoyant mass within primary patient specimens ex vivo correlate with sensitivity to Bruton's Tyrosine Kinase inhibitors in vivo in MCL and chronic lymphocytic leukemia, ..., , # Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma

Dataset DOI: [10.5061/dryad.573n5tbn8](https://doi.org/10.5061/dryad.573n5tbn8)

## Description of the data and file structure

This dataset includes single-cell biophysical measurements, single-cell RNA-seq, and bulk RNA-seq presented in Zhang and Debaize (in review), profiling 3 PDX models of mantle cell lymphoma. The relevant manifests outline the sample provenance, including the tissue from which the PDX cells were isolated from murine hosts. For the single-cell dataset, biophysical properties were measured prior to sorting into well plates, so linked biophysical profiles and transcriptomic libraries are available for each cell. Included are the raw transcriptomic count matrices after alignment, as well as the R data objects after QC filtering, normalization, and preprocessing, which were used for downstream analysis and visualization.

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