AI Article Synopsis
- Detecting genomic changes at the single cell level is crucial for understanding genetic diversity in various biological contexts like normal tissues, cancers, and microbes.
- Traditional methods have limitations in resolution, sensitivity, and specificity, making single cell sequencing a more effective alternative.
- The provided protocol outlines the steps for isolating, amplifying, sequencing, and analyzing single cells to accurately identify large scale genetic variations.
Article 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. Here 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409325 | PMC |
| http://dx.doi.org/10.3791/55143 | DOI Listing |
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