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基于 MALDI-质谱成像的单细胞形态计量学细胞分类

Morphometric Cell Classification for Single-Cell MALDI-Mass Spectrometry Imaging.

机构信息

Maastricht MultiModal Molecular Imaging Institute (M4I), University of Maastricht, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.

Mass Spectrometry Laboratory (MSLab), University of Liège, Belgium.

出版信息

Angew Chem Int Ed Engl. 2020 Sep 28;59(40):17447-17450. doi: 10.1002/anie.202007315. Epub 2020 Aug 17.

DOI:10.1002/anie.202007315
PMID:32668069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7540554/
Abstract

The large-scale and label-free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single-cell-specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features.

摘要

在其自然组织栖息地中对大量无标记的单细胞进行分子特征分析仍然是分子生物学的一个主要挑战。我们提出了一种将形态计量学图像分析与单细胞特异性分子谱相结合的方法来描绘和分类单个细胞。这种方法为研究空间生物学过程提供了一种新的手段,如癌症场效应和形态计量学与分子特征之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d37/7540554/a0aef1893fdc/ANIE-59-17447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d37/7540554/2a6fe64121f6/ANIE-59-17447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d37/7540554/a0aef1893fdc/ANIE-59-17447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d37/7540554/2a6fe64121f6/ANIE-59-17447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d37/7540554/a0aef1893fdc/ANIE-59-17447-g002.jpg

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