Prospective identification of hematopoietic lineage choice by deep learning.
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- Record sourced from PubMed, PMID 28218899.
- Also identified by DOI 10.1038/nmeth.4182 and PMC identifier 5376497.
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Abstract
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their 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 identification of cells with differentially expressed lineage-specifying genes without molecular labeling.
Medical subject headings
- Hematopoietic Stem Cells
- Image Processing, Computer-Assisted
- Neural Networks, Computer
- Time-Lapse Imaging