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Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression.

Environmental health perspectives | 2022

Diverse toxicants and mixtures that affect hormone responsive cells [endocrine disrupting chemicals (EDCs)] are highly pervasive in the environment and are directly linked to human disease. They often target the nuclear receptor family of transcription factors modulating their levels and activity. Many high-throughput assays have been developed to query such toxicants; however, single-cell analysis of EDC effects on endogenous receptors has been missing, in part due to the lack of quality control metrics to reproducibly measure cell-to-cell variability in responses.

Pubmed ID: 35167326 RIS Download

Research resources used in this publication

None found

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA125123
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK056338
  • Agency: NIEHS NIH HHS, United States
    Id: P30 ES030285
  • Agency: NIEHS NIH HHS, United States
    Id: P42 ES027704

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This is a list of tools and resources that we have found mentioned in this publication.


ATCC (tool)

RRID:SCR_001672

Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.

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RRID:SCR_007358

Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.

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RRID:SCR_008983

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RRID:SCR_008988

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RRID:SCR_009154

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RRID:SCR_012931

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RRID:CVCL_0031

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RRID:MGI:2683685

laboratory mouse with name BALB/cAnNCrl from MGI.

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