Prospective identification of hematopoietic lineage choice by deep learning.
Prospective identification of hematopoietic lineage choice by deep learning.
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DOI：
10.1038/nmeth.4182
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发表时间：
2017-04
期刊：
影响因子：
48
通讯作者：
Marr C
中科院分区：
文献类型：
--
作者：
Buggenthin F;Buettner F;Hoppe PS;Endele M;Kroiss M;Strasser M;Schwarzfischer M;Loeffler D;Kokkaliaris KD;Hilsenbeck O;Schroeder T;Theis FJ;Marr C
分化改变了干细胞和祖细胞的分子特性，导致形状和运动特征的改变。我们提出了一个深度神经网络，该网络使用来自明场显微镜和细胞运动的图像块，前瞻性地预测分化初级造血祖细胞的谱系选择。令人惊讶的是，在常规分子标记可观察到之前，可以检测到多达三代的谱系选择。我们的方法可以识别细胞的差异表达的谱系特异性基因，而无需分子标记。
Differentiation alters molecular properties of stem and progenitor cells, leading to changing shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoietic progenitors, using image patches from brightfield microscopy and cellular movement. Surprisingly, lineage choice can be detected up to three generations before conventional molecular markers are observable. Our approach allows identifying cells with differentially expressed lineage-specifying genes without molecular labeling.