BEHAV3D: A 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response
Data files
Sep 08, 2023 version files 39.41 GB
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LSM880_example_dataset_CART_ALL_Exp28.ims
24.28 GB
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LSM880_example_dataset_TEG_BC_organoids_2019_06_26.ims
15.12 GB
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README.md
1.68 KB
Abstract
The use of patient-derived material and immune cell co-cultures in modeling immune-oncology has gained significant interest for understanding and manipulating immune cell tumor targeting in a patient-specific context. However, current protocols have limitations in visualizing and analyzing the dynamic cellular features of these living culture systems. We recently developped a workflow names BEHAV3D, that combines multi-color live 3D imaging and computational tools to analyze cell death dynamics, classify T cell behavior, and generate data-informed 3D images and videos. Here we provide some example pre-processed dataset of videos of two co-culture set ups: breast cancer Patient Derived Organoids with αβ T cells engineered to express a γδ TCR (TEGs) and Acute Lymphoblastic Leukemia cells with CD19 CART cells.
This dataset contains example imaging datasets acquired with the pipeline BEHAV3D on Zeiss LSM880, in the related manuscript (Alieva et al, Nat Prot, in revision, 2023). These datasets exemplify the image processing procedure that has to be followed to segment and track cells. The extracted data can be processed with https://github.com/AlievaRios/BEHAV3D/
Description of the Data and file structure
Two datasets are provided exemplifying two different experimental set ups and co-culture preparation, see below.
LSM880_example_dataset_TEG_BC_organoids_2019_06_26 dataset This dataset consists of a co-culture of engineered T cells called TEGs in co-culture with breast tumor derived organoids. Both cell types are human. Different cells are marked with different colors as follows:
-Channel 1: efluor 450 labels CD8+ TEGs
-Channel 2: NucRed/TOPRO3 marks all live cells
-Channel 3: NucRed/TOPRO3 marks all dead cells
-Channel 4: Calcein AM marks CD4+ TEGs.
LSM880_example_dataset_CART_ALL_Exp28 dataset This dataset consists of a co-culture of engineered T cells called CART in co-culture with Acute lymphoblastic Leukemia cells. Both cell types are human. Different cells are marked with different colors as follows:
-Channel 1: CellTrackerGreen marks CD4+ CART
-Channel 2: efluor 450 labels CD8+ CART
-Channel 3: NucRed/TOPRO3 marks all live cells
-Channel 4: NucRed/TOPRO3 marks all dead cells
Sharing/access Information
Links to other publicly accessible locations of the data:
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Unprocessed data can be found here: https://www.ebi.ac.uk/biostudies/studies/s-biad448
Our approach involves the development of a co-culture assay that allows for 3D live imaging to simultaneously monitor tumor cell response and T cell dynamic behavior. We tested and designed different combinations of live cell dyes to label viable, dead cells, and up to two types of immune cells. This method does not require genetic manipulation or the use of fluorescent markers, making it fast, widely applicable, and preserving cellular heterogeneity. We also determined the optimal proportions of tumor cells to therapeutic cells for solid and liquid tumors, and optimized the imaging medium to ensure compatibility with live imaging.
For image acquisition was performed on a Zeiss LSM880 confocal system. This allows for the acquisition of four spectrally resolved fluorophores in a single scan, enabling fast imaging with minimal photobleaching and phototoxicity. Image processing is performed with Imaris (Oxford Instruments) sofware and an image processing pipeline was developed to extract statistics on cellular and organoid tracks. Single cells and tumor cells are segmentated and tracked in these example datasets.
Applications used: Imaris file converter, Imaris 9.2 or higher, Imaris Tracking module and Imaris XT module.