Journal Article
Research Support, Non-U.S. Gov't
Add like
Add dislike
Add to saved papers

Digital PCR for discriminating mosaic deletions and for determining proportion of tumor cells in specimen.

Mosaicism, presence of a genetic feature in only a subpopulation of cells, is frequent in de novo genetic diseases. Among large deletions covering the NF1 tumor suppressor gene, the frequency of mosaicism can be as high as 40% in de novo patients. In this study, we demonstrate the high potential of digital PCR in detecting large NF1 deletions and in discriminating mosaic cases. By simultaneously assessing the NF1 gene and a reference gene RPP30, deletions could be unambiguously distinguished from non-deletion samples. Performing the same assay for mixed samples from a DNA with a deletion and a non-deletion DNA, a highly significant linear relation was obtained between the set-up ratio of the two samples and the measured ratio of NF1/RPP30 (P<0.0001), suggesting the high potential of digital PCR in discriminating mosaic deletions. Furthermore, digital PCR detects NF1 allele loss in a tumor specimen that was not detected by loss of heterozygosity analysis using polymorphic markers due to high content of non-tumor cells. Based on the measured ratio of NF1/RPP30, the proportion of the tumor cells in this specimen could be calculated as 25%. Our results demonstrate that dual-probe digital PCR is a simple and effective method for detecting deletions and for discriminating mosaic deletions. Furthermore, this method is sensitive for assigning somatic allele loss in tumor specimen and enables determining proportion of tumor cells.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app