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Updated: Aug 7, 2025

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
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Chimera: The spoiler in multiple displacement amplification.

Na Lu1, Yi Qiao1, Zuhong Lu1

  • 1State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Computational and Structural Biotechnology Journal
|March 7, 2023
PubMed
Summary
This summary is machine-generated.

Multiple displacement amplification (MDA) generates large DNA amounts from single cells but forms problematic chimeric sequences. This review details chimera formation, detection, characteristics, and processing to improve whole genome amplification data utilization.

Keywords:
ChimerasChimeric sequencesMultiple displacement amplificationWhole genome amplification

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Area of Science:

  • Genomics
  • Molecular Biology
  • Biotechnology

Background:

  • Multiple displacement amplification (MDA) is a key technique for whole genome amplification from limited DNA samples.
  • MDA enables amplification of minute DNA amounts, such as from single cells, yielding high genome coverage.
  • However, MDA products frequently contain chimeric sequences (chimeras) that hinder downstream analyses.

Purpose of the Study:

  • To provide a comprehensive review of current research on MDA-induced chimeras.
  • To elucidate the mechanisms of chimera formation and current detection methodologies.
  • To summarize chimera characteristics and review methods for processing these artifacts to enhance data utility.

Main Methods:

  • Literature review focusing on MDA chimera formation, detection, characterization, and mitigation strategies.
  • Systematic summarization of chimera characteristics (overlap, distance, density, rate) from published sequencing data.
  • Review of computational and experimental methods for chimera processing and their impact on data analysis.

Main Results:

  • Chimeras are an inherent artifact in all MDA products, arising from the amplification process.
  • Characterization of chimeras reveals variations in overlap, distance, density, and rate across different MDA experiments.
  • Various methods exist for detecting and processing chimeras, with varying impacts on downstream data quality.

Conclusions:

  • Understanding MDA chimera formation and characteristics is crucial for accurate genomic analysis.
  • Effective chimera detection and processing methods are essential for maximizing the utility of MDA-generated data.
  • This review serves as a resource for researchers to address MDA-related challenges and improve whole genome amplification efficiency and data reliability.