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Laser Microdissection Workflow for Isolating Nucleic Acids from Fixed and Frozen Tissue Samples

  1. Author:
    Golubeva, Yelena
    Warner, Andrew

  2. Author Address

    Cancer Genomic Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, NCI, FNLCR, Leidos Biomedical Research, Inc, Gaithersburg, MD, USA. yelena.golubeva@nih.gov., Pathology-Histotechnology Laboratory (PHL), Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA.,
    1. Year: 2018
  2. Journal: Methods in molecular biology (Clifton, N.J.)
    1. 1723
    2. Pages: 33-93
  4. Type of Article: Article
  5. ISSN: 978-1-4939-7557-0
  1. Abstract:

    Laser Capture Microdissection has earned a permanent place among modern techniques connecting histology and molecular biology. Laser Capture Microdissection has become an invaluable tool in medical research as a means for collection of specific cell populations isolated from their environment. Such genomic sample enrichment dramatically increases the sensitivity and precision of downstream molecular assays used for biomarker discovery, monitoring disease onset and progression, and in the development of personalized medicine. The diversity of research targets (cancerous and precancerous lesions in clinical and animal research, cell pellets, rodent embryos, frozen tissues, archival repository slides, etc.) and scientific objectives present a challenge in establishing standard protocols for Laser Capture Microdissection. In the present chapter, we share our experiences in design and successful execution of numerous diverse microdissection projects, and provide considerations to be taken into account in planning a microdissection study. Our workflow and protocols are standardized for a wide range of animal and human tissues and adapted to downstream analysis platforms.

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External Sources

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  2. DOI: 10.1007/978-1-4939-7558-7_3
  3. PMID: 29344854
  4. View record in Web of Science®
  5. WOS: 000431712900004

Library Notes

  1. Fiscal Year: FY2017-2018
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