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    Bio-protocol

    Bio-protocol

    JournalISSN 2331-8325eISSN 2331-8325中科院 生物学 4区

    年发文量

    研究主题

    论文(6712)

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    1Transcriptomic Signature-Guided EGFP Labeling of Alveolar Epithelial Cells Via RNA Sensing in Mouse Lungs in Vivo and Human Idiopathic Pulmonary Fibrosis Lung Slices Ex Vivo
    Zhen Zheng,Chun-sun Jiang, Dan Shan,Chao He,Ivan Rosas,Joseph Lasky, Victor Thannickal,Yong Zhou
    2026
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    2Long-Term Neutrophil Depletion and Flow Cytometric Analysis of Brain Neutrophils in the 5xfad Mouse Model
    Haoning Huang,Xiaoping Bao,Qing Deng
    2026
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    3Standardized Induction and Multimodal Evaluation of Alkali Burn Induced Corneal Neovascularization in Rats : A Protocol for Preclinical Screening of Anti-Angiogenic Compounds
    Yasser Mohammed
    2026
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    4A. Pullulans Chemical Transformation
    Alison C.E. Wirshing,Daniel J. Lew
    2026
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    5Identifying Differentially Expressed Proteins Via Plasma Exosomal Proteomics
    Li-Li Zhang, Guo-Wei He

    Extracellular vesicle (EV) proteomics can be used to study intercellular communication and find biomarkers of non-invasive diseases. Traditional separation methods (ultracentrifugation, size exclusion chromatography) and data-dependent acquisition (DDA) mass spectrometry usually have the drawbacks of copurification of pollutants, poor reproducibility, and insufficient sampling of low-abundance peptides. This protocol describes a workflow for label-free extracellular vesicle proteomics, which combines size exclusion chromatography for vesicle separation, data-independent acquisition (DIA) for deep discovery, and parallel reaction monitoring (PRM) for targeted verification. Plasma-derived extracellular vesicles are treated by standardized lysis, digestion, and LC-MS/MS procedures, so that the protein group of extracellular vesicles can be identified and quantified robustly. The main advantages of this scheme are that it can achieve high quantitative reproducibility, unbiased detection of low-intensity peptides, and seamless transition from discovery to targeted verification, while also being suitable for liquid biopsy samples and various cardiovascular diseases.

    2026
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    高被引作者

    作者引用发文
    Luca Cucullo7781
    Aditya Bhalerao7781
    Farzane Sivandzade7781
    Alexandra Crowe7172
    Wei Yue7172
    Michael Knop6241
    Konrad Herbst6241
    Thi Viet Loan Dao6241
    Daniel Kirrmaier6241
    Matthias Meurer6241

    高产作者

    作者引用发文
    Fanglian He48020
    Holden Maecker13314
    Thomas Günther-Pomorski4313
    dou hao1413
    Xiyan Li18713
    zhi lin yuan911
    jinwu bao111
    Didier Merlin10310
    yi dan ou yang189
    Zongtian Tong739

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