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High-Content Image-Based Single-Cell Phenotypic Analysis for the Testicular Toxicity Prediction Induced by Bisphenol A and Its Analogs Bisphenol S, Bisphenol AF, and Tetrabromobisphenol A in a Three-Dimensional Testicular Cell Co-Culture Model



Details

  • Personal Author:
  • Description:
    Emerging data indicate that structural analogs of bisphenol A (BPA) such as bisphenol S (BPS), tetrabromobisphenol A (TBBPA), and bisphenol AF (BPAF) have been introduced into the market as substitutes for BPA. Our previous study compared in vitro testicular toxicity using murine C18-4 spermatogonial cells and found that BPAF and TBBPA exhibited higher spermatogonial toxicities as compared with BPA and BPS. Recently, we developed a novel in vitro three-dimensional (3D) testicular cell co-culture model, enabling the classification of reproductive toxic substances. In this study, we applied the testicular cell co-culture model and employed a high-content image (HCA)-based single-cell analysis to further compare the testicular toxicities of BPA and its analogs. We also developed a machine learning (ML)-based HCA pipeline to examine the complex phenotypic changes associated with testicular toxicities. We found dose- and time-dependent changes in a wide spectrum of adverse endpoints, including nuclear morphology, DNA synthesis, DNA damage, and cytoskeletal structure in a single-cell-based analysis. The co-cultured testicular cells were more sensitive than the C18 spermatogonial cells in response to BPA and its analogs. Unlike conventional population-averaged assays, single-cell-based assays not only showed the levels of the averaged population, but also revealed changes in the sub-population. Machine learning-based phenotypic analysis revealed that treatment of BPA and its analogs resulted in the loss of spatial cytoskeletal structure, and an accumulation of M phase cells in a dose- and time-dependent manner. Furthermore, treatment of BPAF-induced multinucleated cells, which were associated with altered DNA damage response and impaired cellular F-actin filaments. Overall, we demonstrated a new and effective means to evaluate multiple toxic endpoints in the testicular co-culture model through the combination of ML and high-content image-based single-cell analysis. This approach provided an in-depth analysis of the multi-dimensional HCA data and provided an unbiased quantitative analysis of the phenotypes of interest. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    1096-6080
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Pages in Document:
    313-335
  • Volume:
    173
  • Issue:
    2
  • NIOSHTIC Number:
    nn:20068434
  • Citation:
    Toxicol Sci 2020 Feb; 173(2):313-335
  • Contact Point Address:
    Xiaozhong Yu, Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA 30602
  • Email:
    yuxz@uga.edu
  • CAS Registry Number:
  • Federal Fiscal Year:
    2020
  • Performing Organization:
    University of Georgia, Athens
  • Peer Reviewed:
    True
  • Start Date:
    20130901
  • Source Full Name:
    Toxicological Sciences
  • End Date:
    20160831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:485fe613e7c8dfb9b2e0c835ba532c24ce680f8069a9b07f384831e4201f0f4da72e41ca189b970399c34c5d8051d9c2109e4dd0c2f1a1552cbb7f5e7d0c03a7
  • Download URL:
  • File Type:
    Filetype[PDF - 3.30 MB ]
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