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Spatially-resolved protein surface microsampling from tissue sections using liquid extraction surface analysis

Abstract : Tissue microenvironment characterization presents a challenge for a better understanding of the full complexity of a pathology. Unfortunately, making a precise "picture" of the disease needs an efficient microsampling method coupled to an accurate localization for performing region-dependent proteomics. Here, we present a method that enables rapid and reproducible extraction of proteins from a tissue section to analyze a specific region at a millimeter scale. The method used a liquid-microjunction extraction with conventional detergent solution for proteomics analysis. We successfully performed immunoblotting experiments and showed the possibility to retrieve and identify more than 1400 proteins from a 1-mm diameter spot size on tissue sections with a high degree of reproducibility both qualitatively and quantitatively. Moreover, the small size of the extracted region achieved by this sampling method allows the possibility to perform multiple extractions on different tissue section points. Ten points on a sagittal rat brain tissue section were analyzed and the measured proteins clearly distinguished the different parts of the brain, thus permitting precise functional mapping. We thus demonstrate that with this technology, it is possible to map the tissue microenvironment and gain an understanding of the molecular mechanisms at millimeter resolution.
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https://www.hal.inserm.fr/inserm-02940393
Contributor : Michel Salzet <>
Submitted on : Wednesday, September 16, 2020 - 11:51:34 AM
Last modification on : Wednesday, March 17, 2021 - 2:32:03 PM
Long-term archiving on: : Thursday, December 3, 2020 - 8:00:58 AM

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Maxence Wisztorski, Annie Desmons, Jusal Quanico, Benoit Fatou, Jean-Pascal Gimeno, et al.. Spatially-resolved protein surface microsampling from tissue sections using liquid extraction surface analysis. Proteomics, Wiley-VCH Verlag, 2016, 16 (11-12), pp.1622-1632. ⟨10.1002/pmic.201500508⟩. ⟨inserm-02940393⟩

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