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Updated: Sep 2, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
Detection of DNA copy number alterations by matrix-assisted laser desorption/ionization time-of-flight mass
Shengnan Jin1,2, Dan Huang1,2, Weijiang Jin1,2
1School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
Objectives:
Copy number alterations (CNAs) are frequently found in malignant tissues. Different approaches have been used for CNA detection. However, it is not easy to detect a large panel of CNA targets in heterogenous tumors.
Methods:
We have developed a CNAs detection approach through quantitatively analyzed allelic imbalance by allelotyping single nucleotide polymorphisms (SNPs) by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Furthermore, the copy number changes were quantified by real-competitive PCR (rcPCR) to distinguish loss of heterozygosity (LOH) and genomic amplification. The approach was used to validate the CNA regions detected by next generation sequencing (NGS) in early-stage lung carcinoma.
Results:
CNAs were detected in heterogeneous DNA samples where tumor DNA is present at only 10% through the SNP based allelotyping. In addition, two different types of CNAs (loss of heterozygosity and chromosome amplification) were able to be distinguished quantitatively by rcPCR. Validation on a total of 41 SNPs from the selected CNA regions showed that copy number changes did occur, and the tissues from early-stage lung carcinoma were distinguished from normal.
Conclusions:
CNA detection by MALDI-TOF MS can be used for validating potentially interesting genomic regions identified from next generation sequencing, and for detecting CNAs in tumor tissues consisting of a mixture of neoplastic and normal cells.
Insights
This study introduces a novel method for detecting copy number alterations (CNAs) in heterogeneous tumors using SNP analysis and MALDI-TOF MS. This approach accurately identifies genomic changes in early-stage lung carcinoma, distinguishing it from normal tissues.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- Copy number alterations (CNAs) are common in malignant tissues.
- Detecting a wide range of CNA targets in heterogeneous tumors remains challenging.
- Existing methods face limitations in sensitivity and specificity for complex samples.
Purpose of the Study:
- To develop and validate a novel approach for detecting CNAs in heterogeneous tumor samples.
- To quantitatively analyze allelic imbalance using single nucleotide polymorphisms (SNPs) and MALDI-TOF MS.
- To distinguish between loss of heterozygosity (LOH) and genomic amplification using real-competitive PCR (rcPCR).
Main Methods:
- Quantitative analysis of allelic imbalance by SNP allelotyping using MALDI-TOF MS.
- Quantification of copy number changes via rcPCR to differentiate LOH and amplification.
- Validation of CNA regions identified by next-generation sequencing (NGS) in early-stage lung carcinoma.
Main Results:
- CNAs were successfully detected in heterogeneous DNA samples with as little as 10% tumor DNA.
- Quantitative rcPCR effectively distinguished between LOH and chromosome amplification.
- Validation using 41 SNPs confirmed copy number changes and differentiated early-stage lung carcinoma tissues from normal tissues.
Conclusions:
- MALDI-TOF MS based CNA detection is effective for validating NGS-identified genomic regions.
- This method enables accurate CNA detection in mixed neoplastic and normal cell populations.
- The developed approach offers a robust tool for cancer genomics research and diagnostics.
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