Single-cell morphological and transcriptome analysis unveil inhibitors of polyploid giant breast cancer cells in vitro

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作者
Mengli Zhou
Yushu Ma
Chun-Cheng Chiang
Edwin C. Rock
Samuel Charles Butler
Rajiv Anne
Svetlana Yatsenko
Yinan Gong
Yu-Chih Chen
机构
[1] University of Pittsburgh,UPMC Hillman Cancer Center
[2] University of Pittsburgh,Department of Computational and Systems Biology
[3] Central South University,Xiangya Hospital
[4] University of Pittsburgh,Department of Bioengineering, Swanson School of Engineering
[5] University of Pittsburgh,Department of Pathology
[6] University of Pittsburgh,Department of Obstetrics, Gynecology and Reproductive Sciences
[7] Magee Womens Research Institute,Department of Immunology
[8] University of Pittsburgh School of Medicine,CMU
[9] University of Pittsburgh,Pitt Ph.D. Program in Computational Biology
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Communications Biology | / 6卷
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摘要
Considerable evidence suggests that breast cancer therapeutic resistance and relapse can be driven by polyploid giant cancer cells (PGCCs). The number of PGCCs increases with the stages of disease and therapeutic stress. Given the importance of PGCCs, it remains challenging to eradicate them. To discover effective anti-PGCC compounds, there is an unmet need to rapidly distinguish compounds that kill non-PGCCs, PGCCs, or both. Here, we establish a single-cell morphological analysis pipeline with a high throughput and great precision to characterize dynamics of individual cells. In this manner, we screen a library to identify promising compounds that inhibit all cancer cells or only PGCCs (e.g., regulators of HDAC, proteasome, and ferroptosis). Additionally, we perform scRNA-Seq to reveal altered cell cycle, metabolism, and ferroptosis sensitivity in breast PGCCs. The combination of single-cell morphological and molecular investigation reveals promising anti-PGCC strategies for breast cancer treatment and other malignancies.
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