Detection of Copy Number Alterations Using Single Cell Sequencing
Name
jove-protocol-55143-detection-of-copy-number-alterations-using-single-cell-sequencing.pdf
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426.31 KB
Format
Adobe PDF
Checksum (MD5)
085580477371ef87e88dacd66b976336
Author(s)
Knouse, Kristin Ann
Hendricks, Austin A
Wu, Jie
Date Issued
February 2017
Journal
Journal of Visualized Experiments
Publisher
MyJoVE Corporation
Citation
Knouse, Kristin A. et al. “Detection of Copy Number Alterations Using Single Cell Sequencing.” Journal of Visualized Experiments 120 (February 2017): e55143 © 2017 Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License
Version
Final published version
Abstract
Detection of genomic changes at single cell resolution is important for characterizing genetic heterogeneity and evolution in normal tissues, cancers, and microbial populations. Traditional methods for assessing genetic heterogeneity have been limited by low resolution, low sensitivity, and/or low specificity. Single cell sequencing has emerged as a powerful tool for detecting genetic heterogeneity with high resolution, high sensitivity and, when appropriately analyzed, high specificity. Her e we provide a protocol for the isolation, whole genome amplification, sequencing, and analysis of single cells. Our approach allows for the reliable identification of megabase-scale copy number variants in single cells. However, aspects of this protocol can also be applied to investigate other types of genetic alterations in single cells.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3791/55143
