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Prospective identification of hematopoietic lineage choice by deep learning

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 mic...

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Detalles Bibliográficos
Autores principales: Buggenthin, Felix, Buettner, Florian, Hoppe, Philipp S, Endele, Max, Kroiss, Manuel, Strasser, Michael, Schwarzfischer, Michael, Loeffler, Dirk, Kokkaliaris, Konstantinos D, Hilsenbeck, Oliver, Schroeder, Timm, Theis, Fabian J, Marr, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376497/
https://www.ncbi.nlm.nih.gov/pubmed/28218899
http://dx.doi.org/10.1038/nmeth.4182
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author Buggenthin, Felix
Buettner, Florian
Hoppe, Philipp S
Endele, Max
Kroiss, Manuel
Strasser, Michael
Schwarzfischer, Michael
Loeffler, Dirk
Kokkaliaris, Konstantinos D
Hilsenbeck, Oliver
Schroeder, Timm
Theis, Fabian J
Marr, Carsten
author_facet Buggenthin, Felix
Buettner, Florian
Hoppe, Philipp S
Endele, Max
Kroiss, Manuel
Strasser, Michael
Schwarzfischer, Michael
Loeffler, Dirk
Kokkaliaris, Konstantinos D
Hilsenbeck, Oliver
Schroeder, Timm
Theis, Fabian J
Marr, Carsten
author_sort Buggenthin, Felix
collection PubMed
description 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.
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spelling pubmed-53764972017-08-20 Prospective identification of hematopoietic lineage choice by deep learning Buggenthin, Felix Buettner, Florian Hoppe, Philipp S Endele, Max Kroiss, Manuel Strasser, Michael Schwarzfischer, Michael Loeffler, Dirk Kokkaliaris, Konstantinos D Hilsenbeck, Oliver Schroeder, Timm Theis, Fabian J Marr, Carsten Nat Methods Article 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. 2017-02-20 2017-04 /pmc/articles/PMC5376497/ /pubmed/28218899 http://dx.doi.org/10.1038/nmeth.4182 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Buggenthin, Felix
Buettner, Florian
Hoppe, Philipp S
Endele, Max
Kroiss, Manuel
Strasser, Michael
Schwarzfischer, Michael
Loeffler, Dirk
Kokkaliaris, Konstantinos D
Hilsenbeck, Oliver
Schroeder, Timm
Theis, Fabian J
Marr, Carsten
Prospective identification of hematopoietic lineage choice by deep learning
title Prospective identification of hematopoietic lineage choice by deep learning
title_full Prospective identification of hematopoietic lineage choice by deep learning
title_fullStr Prospective identification of hematopoietic lineage choice by deep learning
title_full_unstemmed Prospective identification of hematopoietic lineage choice by deep learning
title_short Prospective identification of hematopoietic lineage choice by deep learning
title_sort prospective identification of hematopoietic lineage choice by deep learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376497/
https://www.ncbi.nlm.nih.gov/pubmed/28218899
http://dx.doi.org/10.1038/nmeth.4182
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