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Updated: Apr 14, 2026
Cell-cell Fusion of Genome Edited Cell Lines for Perturbation of Cellular Structure and Function
Published on: December 7, 2019
Meifang He1, Hongyan Huang2, Manna Wang3
11] Laboratory of General Surgery, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan er Road, Guangzhou, Guangdong 510080, P. R. China [2] Laboratory of Cell Engineering, Institute of Biotechnology, 20 Dongda Street, Beijing 100071, P. R. China [3] The Institute of Life Sciences, the Key Laboratory of Normal Aging &Geriatric, the State Key Laboratory of Kidney, the Chinese PLA General Hospital, Beijing 100853, P. R. China.
This study introduces a new method using flow cytometry to analyze and sort cell-in-cell structures, where one cell is inside another. These structures are found in development and cancer but are hard to study due to a lack of reliable methods. The researchers developed a fluorescence-based approach to label and sort these structures with high purity. They found that both the internalized and engulfing cells influence how these structures form. This method allows for high-throughput analysis and could help advance research into the role of cell-in-cell structures in biology.
Area of Science:
Background:
The presence of cell-in-cell structures is increasingly recognized in biological processes like development and tumor progression. Prior research has shown these structures are not random but may play functional roles. However, no prior work had resolved how to quantify them reliably at scale. This gap motivated the need for a high-throughput method. Existing techniques lacked the precision to distinguish true CICs from cell doublets. The field needed a way to isolate and analyze these structures systematically. No prior work had demonstrated a flow cytometry-based solution for this purpose. This uncertainty drove the development of a new FACS-based approach. The absence of standardized protocols limited progress in understanding CICs.
Purpose Of The Study:
This study aimed to develop a flow cytometry-based method to analyze and sort heterotypic cell-in-cell structures. The specific problem addressed was the lack of reliable high-throughput quantification methods for CICs. The motivation stemmed from the growing interest in CICs and their potential roles in disease. The authors sought to create a system compatible with fluorescence-activated cell sorting. By optimizing labeling and sorting conditions, they aimed to improve purity and throughput. The goal was to enable systematic research on CIC formation dynamics. This approach would allow for broader investigation into CIC biology. The study focused on lymphocyte-tumor cell interactions as a model system.
Main Methods:
The method involved fluorescent labeling of cells to distinguish internalized and engulfing cells. Flow cytometry was used to sort heterotypic CICs based on fluorescence signals. Conditions were optimized to minimize cell doublets during sorting. The study used lymphocytes and tumor cells as a model system for CIC formation. Fluorescent dyes were selected to label different cell types without interference. Sorting parameters were adjusted to achieve high purity of sorted CICs. The method was tested on multiple cell pairs to assess its versatility. The approach allowed rapid quantification and isolation of CICs for downstream analysis.
Main Results:
The method achieved CIC sorting with purity exceeding 95% using optimized FACS conditions. Fluorescent labeling enabled clear distinction between internalized and engulfing cells. The study found that both effector and target cell factors influence CIC formation. Multiple cell pairs were analyzed to confirm the method's reproducibility. Sorting efficiency was not compromised by cell type differences. The technique allowed rapid quantification of CICs in mixed cell populations. Data showed variability in CIC formation depending on cell type combinations. The method proved suitable for high-throughput analysis of heterotypic CICs.
Conclusions:
The authors propose that this FACS-based method improves the ability to study CICs systematically. They suggest that factors from both internalized and engulfing cells affect CIC formation. The method allows high-throughput quantification of CICs in mixed cell cultures. The study demonstrates the feasibility of sorting CICs with high purity using FACS. The approach is applicable to lymphocyte-tumor cell interactions and potentially others. The findings suggest that CIC formation is influenced by multiple cellular factors. The method serves as a reliable platform for future CIC research. The authors propose that this technique could advance understanding of CIC biology.
The method achieves >95% purity in sorting heterotypic cell-in-cell structures using fluorescence labeling.
Fluorescent dyes distinguish internalized and engulfing cells, enabling accurate sorting of CICs.
Sorting conditions were optimized to reduce doublets, ensuring high purity of sorted CICs.
Factors from both engulfing and internalized cells influence heterotypic CIC formation.
Lymphocytes and tumor cells were used to analyze heterotypic CIC formation.
The authors propose that this method promotes systematic research on CIC biology.
