Literature DB >> 22323135

Introduction: why analyze single cells?

Dino Di Carlo1, Henry Tat Kwong Tse, Daniel R Gossett.   

Abstract

Powerful methods in molecular biology are abundant; however, in many fields including hematology, stem cell biology, tissue engineering, and cancer biology, data from tools and assays that analyze the average signals from many cells may not yield the desired result because the cells of interest may be in the minority-their behavior masked by the majority-or because the dynamics of the populations of interest are offset in time. Accurate characterization of samples with high cellular heterogeneity may only be achieved by analyzing single cells. In this chapter, we discuss the rationale for performing analyses on individual cells in more depth, cover the fields of study in which single-cell behavior is yielding new insights into biological and clinical questions, and speculate on how single-cell analysis will be critical in the future.

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Year:  2012        PMID: 22323135     DOI: 10.1007/978-1-61779-567-1_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy.

Authors:  Ning Ma; Gopakumar Kamalakshakurup; Mohammad Aghaamoo; Abraham P Lee; Michelle A Digman
Journal:  Cytometry A       Date:  2018-12-11       Impact factor: 4.355

Review 2.  Nuclear mechanics in cancer.

Authors:  Celine Denais; Jan Lammerding
Journal:  Adv Exp Med Biol       Date:  2014       Impact factor: 2.622

3.  Mechanical stiffness as an improved single-cell indicator of osteoblastic human mesenchymal stem cell differentiation.

Authors:  Tom Bongiorno; Jacob Kazlow; Roman Mezencev; Sarah Griffiths; Rene Olivares-Navarrete; John F McDonald; Zvi Schwartz; Barbara D Boyan; Todd C McDevitt; Todd Sulchek
Journal:  J Biomech       Date:  2013-11-17       Impact factor: 2.712

4.  Sorting single-cell microcarriers using commercial flow cytometers.

Authors:  Joseph de Rutte; Robert Dimatteo; Sheldon Zhu; Maani M Archang; Dino Di Carlo
Journal:  SLAS Technol       Date:  2021-10-25       Impact factor: 2.813

5.  Automated image analysis system for studying cardiotoxicity in human pluripotent stem cell-Derived cardiomyocytes.

Authors:  Lu Cao; Andries D van der Meer; Fons J Verbeek; Robert Passier
Journal:  BMC Bioinformatics       Date:  2020-05-14       Impact factor: 3.169

6.  Dielectrophoretic Traps for Efficient Bead and Cell Trapping and Formation of Aggregates of Controlled Size and Composition.

Authors:  Clémentine Lipp; Laure Koebel; Arnaud Bertsch; Michaël Gauthier; Aude Bolopion; Philippe Renaud
Journal:  Front Bioeng Biotechnol       Date:  2022-07-14

7.  Detection of low abundance RNA molecules in individual cells by flow cytometry.

Authors:  Mary Beth Hanley; Woodrow Lomas; Dev Mittar; Vernon Maino; Emily Park
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

  7 in total

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