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Hu L, Ji YY, Zhu P, Lu RQ. Mutation-Selected Amplification droplet digital PCR: A new single nucleotide variant detection assay for TP53 R249S mutant in tumor and plasma samples. Anal Chim Acta 2024; 1318:342929. [PMID: 39067934 DOI: 10.1016/j.aca.2024.342929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 06/21/2024] [Accepted: 06/30/2024] [Indexed: 07/30/2024]
Abstract
The early detection of gene mutations in physiological and pathological processes is a powerful approach to guide decisions in precision medicine. However, detecting low-copy mutant DNA from clinical samples poses a challenge due to the enrichment of wild-type DNA backgrounds. In this study, we devised a novel strategy, named Mutation-Selected Amplification droplet digital PCR (MSA-ddPCR), to quantitatively analyze single nucleotide variants (SNVs) at low variant allele frequencies (VAFs). Using TP53R249S (a hotspot mutation associated with hepatocellular carcinoma) as a model, we optimized the concentration ratio of primers, the annealing temperature and nucleic acid amplification modifiers. Subsequently, we evaluated the linear range and precision of MSA-ddPCR by detecting TP53R249S and TP53wild-type (TP53WT) plasmid DNA, respectively. MSA-ddPCR demonstrated superior ability to discriminate between mutant DNA and wild-type DNA compared to traditional TaqMan-MGB PCR. We further applied MSA-ddPCR to analyze the TP53R249S mutation in 20 plasma samples and 15 formalin-fixed paraffin-embedded (FFPE) tissue samples, and assessed the agreement rates between MSA-ddPCR and amplicon high-throughput sequencing. The results showed that the limit of blanks of MSA-ddPCR are 0.449 copies μL-1 in the FAM channel and 0.452 copies μL-1 in the VIC channel. MSA-ddPCR could accurately quantify VAFs as low as 0.01 %, surpassing existing PCR and next-generation sequencing (NGS) methods. In the detection of clinical samples, a high correlation was found between MSA-ddPCR and amplicon high-throughput sequencing. Additionally, MSA-ddPCR outperformed sequencing methods in terms of detection time and simplicity of data analysis. MSA-ddPCR can be easily implemented into clinical practice and serve as a robust tool for detecting mutant genes due to its high sensitivity and accuracy.
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Affiliation(s)
- Ling Hu
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical School, Fudan University, Shanghai, 20032, China
| | - Yuan-Ye Ji
- Department of Medical Laboratory, Ningbo No.2 Hospital, Ningbo, 315010, China
| | - Peng Zhu
- Department of Medical Laboratory, Ningbo No.2 Hospital, Ningbo, 315010, China; Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, 315010, China.
| | - Ren-Quan Lu
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical School, Fudan University, Shanghai, 20032, China.
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2
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Tang Q, Yin D, Liu Y, Zhang J, Guan Y, Kong H, Wang Y, Zhang X, Li J, Wang L, Hu J, Cai X, Zhu Y. Clickable X-ray Nanoprobes for Nanoscopic Bioimaging of Cellular Structures. JACS AU 2024; 4:893-902. [PMID: 38559738 PMCID: PMC10976567 DOI: 10.1021/jacsau.4c00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 04/04/2024]
Abstract
Synchrotron-based X-ray microscopy (XRM) has garnered widespread attention from researchers due to its high spatial resolution and excellent energy (element) resolution. Existing molecular probes suitable for XRM include immune probes and genetic labeling probes, enabling the precise imaging of various biological targets within cells. However, immune labeling techniques are prone to cross-interference between antigens and antibodies. Genetic labeling technologies have limited systems that allow express markers independently, and moreover, genetically encoded labels based on catalytic polymerization lack a fixed morphology. When applied to cell imaging, this can result in reduced localization accuracy due to the diffusion of labels within the cells. Therefore, both techniques face challenges in simultaneously labeling multiple biotargets within cells and achieving high-precision imaging. In this work, we applied the click reaction and developed a third category of imaging probes suitable for XRM, termed clickable X-ray nanoprobes (Click-XRN). Click-XRN consists of two components: an X-ray-sensitive multicolor imaging module and a particle-size-controllable morphology module. Efficient identification of intra- and extracellular biotargets is achieved through click reactions between the probe and biomolecules. Click-XRN possesses a controllable particle size, and its loading of various metal ions provides distinctive signals for imaging under XRM. Based on this, we optimized the imaging energy of Click-XRN with different particle sizes, enabling single-color and two-color imaging of the cell membrane, cell nucleus, and mitochondria with nanoscale spatial nanometers. Our work provides a potent molecular tool for investigating cellular activities through XRM.
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Affiliation(s)
- Qiaowei Tang
- Institute
of Materiobiology, College of Science, Shanghai
University, Shanghai 200444, China
- Xiangfu
Laboratory, Jiashan 314102, China
| | - Dapeng Yin
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Yubo Liu
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Jichao Zhang
- Shanghai
Synchrotron Radiation Facility (SSRF), Shanghai
Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Yong Guan
- National
Synchrotron Radiation Laboratory, University
of Science and Technology of China, Hefei 230029, China
| | - Huating Kong
- Shanghai
Synchrotron Radiation Facility (SSRF), Shanghai
Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Yiliu Wang
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Xiangzhi Zhang
- Shanghai
Synchrotron Radiation Facility (SSRF), Shanghai
Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Jiang Li
- Institute
of Materiobiology, College of Science, Shanghai
University, Shanghai 200444, China
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Lihua Wang
- Institute
of Materiobiology, College of Science, Shanghai
University, Shanghai 200444, China
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Jun Hu
- Institute
of Materiobiology, College of Science, Shanghai
University, Shanghai 200444, China
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
| | - Xiaoqing Cai
- Shanghai
Synchrotron Radiation Facility (SSRF), Shanghai
Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Ying Zhu
- Institute
of Materiobiology, College of Science, Shanghai
University, Shanghai 200444, China
- Division
of Physical Biology, CAS Key Laboratory of Interfacial Physics and
Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 201800, China
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3
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de Souza N, Zhao S, Bodenmiller B. Multiplex protein imaging in tumour biology. Nat Rev Cancer 2024; 24:171-191. [PMID: 38316945 DOI: 10.1038/s41568-023-00657-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2023] [Indexed: 02/07/2024]
Abstract
Tissue imaging has become much more colourful in the past decade. Advances in both experimental and analytical methods now make it possible to image protein markers in tissue samples in high multiplex. The ability to routinely image 40-50 markers simultaneously, at single-cell or subcellular resolution, has opened up new vistas in the study of tumour biology. Cellular phenotypes, interaction, communication and spatial organization have become amenable to molecular-level analysis, and application to patient cohorts has identified clinically relevant cellular and tissue features in several cancer types. Here, we review the use of multiplex protein imaging methods to study tumour biology, discuss ongoing attempts to combine these approaches with other forms of spatial omics, and highlight challenges in the field.
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Affiliation(s)
- Natalie de Souza
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Systems Biology, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland
| | - Shan Zhao
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland
| | - Bernd Bodenmiller
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland.
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.
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Hosogane T, Casanova R, Bodenmiller B. DNA-barcoded signal amplification for imaging mass cytometry enables sensitive and highly multiplexed tissue imaging. Nat Methods 2023; 20:1304-1309. [PMID: 37653118 PMCID: PMC10482679 DOI: 10.1038/s41592-023-01976-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 07/05/2023] [Indexed: 09/02/2023]
Abstract
Imaging mass cytometry (IMC) is a highly multiplexed, antibody-based imaging method that captures heterogeneous spatial protein expression patterns at subcellular resolution. Here we report the extension of IMC to low-abundance markers through incorporation of the DNA-based signal amplification by exchange reaction, immuno-SABER. We applied SABER-IMC to image the tumor immune microenvironment in human melanoma by simultaneous imaging of 18 markers with immuno-SABER and 20 markers without amplification. SABER-IMC enabled the identification of immune cell phenotypic markers, such as T cell co-receptors and their ligands, that are not detectable with IMC.
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Affiliation(s)
- Tsuyoshi Hosogane
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Institute for Molecular Health Sciences, ETH Zurich, Zurich, Switzerland
- Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Ruben Casanova
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Institute for Molecular Health Sciences, ETH Zurich, Zurich, Switzerland
| | - Bernd Bodenmiller
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
- Institute for Molecular Health Sciences, ETH Zurich, Zurich, Switzerland.
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