Literature DB >> 25517464

Quantitative single-cell approaches to stem cell research.

Martin Etzrodt1, Max Endele1, Timm Schroeder2.   

Abstract

Understanding the molecular control of cell fates is central to stem cell research. Such insight requires quantification of molecular and cellular behavior at the single-cell level. Recent advances now permit high-throughput molecular readouts from single cells as well as continuous, noninvasive observation of cell behavior over time. Here, we review current state-of-the-art approaches used to query stem cell fate at the single-cell level, including advances in lineage tracing, time-lapse imaging, and molecular profiling. We also offer our perspective on the advantages and drawbacks of available approaches, key technical limitations, considerations for data interpretation, and future innovation.
Copyright © 2014 Elsevier Inc. All rights reserved.

Mesh:

Year:  2014        PMID: 25517464     DOI: 10.1016/j.stem.2014.10.015

Source DB:  PubMed          Journal:  Cell Stem Cell        ISSN: 1875-9777            Impact factor:   24.633


  44 in total

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2.  Network plasticity of pluripotency transcription factors in embryonic stem cells.

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Review 3.  Mechanisms of fate decision and lineage commitment during haematopoiesis.

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4.  Nanog dynamics in single embryonic stem cells.

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5.  DCs are ready to commit.

Authors:  Deborah R Winter; Ido Amit
Journal:  Nat Immunol       Date:  2015-07       Impact factor: 25.606

Review 6.  Understanding development and stem cells using single cell-based analyses of gene expression.

Authors:  Pavithra Kumar; Yuqi Tan; Patrick Cahan
Journal:  Development       Date:  2017-01-01       Impact factor: 6.868

7.  Software tools for single-cell tracking and quantification of cellular and molecular properties.

Authors:  Oliver Hilsenbeck; Michael Schwarzfischer; Stavroula Skylaki; Bernhard Schauberger; Philipp S Hoppe; Dirk Loeffler; Konstantinos D Kokkaliaris; Simon Hastreiter; Eleni Skylaki; Adam Filipczyk; Michael Strasser; Felix Buggenthin; Justin S Feigelman; Jan Krumsiek; Adrianus J J van den Berg; Max Endele; Martin Etzrodt; Carsten Marr; Fabian J Theis; Timm Schroeder
Journal:  Nat Biotechnol       Date:  2016-07-12       Impact factor: 54.908

Review 8.  Challenges in long-term imaging and quantification of single-cell dynamics.

Authors:  Stavroula Skylaki; Oliver Hilsenbeck; Timm Schroeder
Journal:  Nat Biotechnol       Date:  2016-11-08       Impact factor: 54.908

9.  Seamless Combination of Fluorescence-Activated Cell Sorting and Hanging-Drop Networks for Individual Handling and Culturing of Stem Cells and Microtissue Spheroids.

Authors:  Axel Birchler; Mischa Berger; Verena Jäggin; Telma Lopes; Martin Etzrodt; Patrick Mark Misun; Maria Pena-Francesch; Timm Schroeder; Andreas Hierlemann; Olivier Frey
Journal:  Anal Chem       Date:  2016-01-06       Impact factor: 6.986

Review 10.  Single-Cell Analysis in Cancer Genomics.

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Journal:  Trends Genet       Date:  2015-10       Impact factor: 11.639

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