Computer-Aided Design of DNA Self-Limited Assembly for Relative Quantification of Membrane Proteins.
Dongsheng MaoCuicui LuRunchi ZhangLiucun ZhuYuchen SongChang FengQianqian ZhangTianshu ChenYu YangGuifang ChenXiaoli ZhuWeihong TanPublished in: Analytical chemistry (2022)
Immunofluorescence imaging of cells plays a vital role in biomedical research and clinical diagnosis. However, when it is applied to relative quantification of proteins, it suffers from insufficient fluorescence intensity or partial overexposure, resulting in inaccurate relative quantification. Herein, we report a computer-aided design of DNA self-limited assembly (CAD-SLA) technology and apply it for relative quantification of membrane proteins, a concept proposed for the first time. CAD-SLA can achieve exponential cascade signal amplification in one pot and terminate at any desired level. By conjugating CAD-SLA with immunofluorescence, in situ imaging of cell membrane proteins is achieved with a controllable amplification level. Besides, comprehensive fluorescence intensity information from fluorescent images can be obtained, accurately showing relative quantitative information. Slight protein expression differences previously indistinguishable by immunofluorescence or Western blotting can now be discriminated, making fluorescence imaging-based relative quantification a promising tool for membrane protein analysis. From the perspectives of both DNA self-assembly technology and immunofluorescence technology, this work has solved difficult problems and provided important reference for future development.
Keyphrases
- single molecule
- fluorescence imaging
- nucleic acid
- coronary artery disease
- high resolution
- circulating tumor
- cell free
- induced apoptosis
- mental health
- high intensity
- healthcare
- deep learning
- health information
- machine learning
- cell cycle arrest
- endoplasmic reticulum stress
- cell death
- south africa
- optical coherence tomography
- convolutional neural network
- cell proliferation
- label free