Literature DB >> 24495980

Making a big thing of a small cell--recent advances in single cell analysis.

Kerstin Galler1, Katharina Bräutigam, Christina Große, Jürgen Popp, Ute Neugebauer.   

Abstract

Single cell analysis is an emerging field requiring a high level interdisciplinary collaboration to provide detailed insights into the complex organisation, function and heterogeneity of life. This review is addressed to life science researchers as well as researchers developing novel technologies. It covers all aspects of the characterisation of single cells (with a special focus on mammalian cells) from morphology to genetics and different omics-techniques to physiological, mechanical and electrical methods. In recent years, tremendous advances have been achieved in all fields of single cell analysis: (1) improved spatial and temporal resolution of imaging techniques to enable the tracking of single molecule dynamics within single cells; (2) increased throughput to reveal unexpected heterogeneity between different individual cells raising the question what characterizes a cell type and what is just natural biological variation; and (3) emerging multimodal approaches trying to bring together information from complementary techniques paving the way for a deeper understanding of the complexity of biological processes. This review also covers the first successful translations of single cell analysis methods to diagnostic applications in the field of tumour research (especially circulating tumour cells), regenerative medicine, drug discovery and immunology.

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Mesh:

Year:  2014        PMID: 24495980     DOI: 10.1039/c3an01939j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  23 in total

1.  Insights into the Interactions of Amino Acids and Peptides with Inorganic Materials Using Single-Molecule Force Spectroscopy.

Authors:  Priyadip Das; Tal Duanias-Assaf; Meital Reches
Journal:  J Vis Exp       Date:  2017-03-06       Impact factor: 1.355

2.  Genetically Encoded Fluorescent Proteins Enable High-Throughput Assignment of Cell Cohorts Directly from MALDI-MS Images.

Authors:  Nicholas D Schmitt; Catherine M Rawlins; Elizabeth C Randall; Xianzhe Wang; Antonius Koller; Jared R Auclair; Jane-Marie Kowalski; Paul J Kowalski; Ed Luther; Alexander R Ivanov; Nathalie Y R Agar; Jeffrey N Agar
Journal:  Anal Chem       Date:  2019-03-06       Impact factor: 6.986

3.  Longitudinal adaptive optics fluorescence microscopy reveals cellular mosaicism in patients.

Authors:  HaeWon Jung; Jianfei Liu; Tao Liu; Aman George; Margery G Smelkinson; Sarah Cohen; Ruchi Sharma; Owen Schwartz; Arvydas Maminishkis; Kapil Bharti; Catherine Cukras; Laryssa A Huryn; Brian P Brooks; Robert Fariss; Johnny Tam
Journal:  JCI Insight       Date:  2019-03-21

4.  Cell biology: scaling and the emergence of evolutionary cell biology.

Authors:  Patrick C Phillips; Bruce Bowerman
Journal:  Curr Biol       Date:  2015-03-16       Impact factor: 10.834

5.  Strategies for Multiplexed Biosensor Imaging to Study Intracellular Signaling Networks.

Authors:  Jeremiah Keyes; Sohum Mehta; Jin Zhang
Journal:  Methods Mol Biol       Date:  2021

Review 6.  Single-Cell Analysis Using Hyperspectral Imaging Modalities.

Authors:  Nishir Mehta; Shahensha Shaik; Ram Devireddy; Manas Ranjan Gartia
Journal:  J Biomech Eng       Date:  2018-02-01       Impact factor: 2.097

Review 7.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

Review 8.  Review of methods to probe single cell metabolism and bioenergetics.

Authors:  Andreas E Vasdekis; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2014-10-31       Impact factor: 9.783

9.  A microchip electrophoresis-mass spectrometric platform with double cell lysis nano-electrodes for automated single cell analysis.

Authors:  Xiangtang Li; Shulin Zhao; Hankun Hu; Yi-Ming Liu
Journal:  J Chromatogr A       Date:  2016-05-06       Impact factor: 4.759

10.  Rapid, culture-independent, optical diagnostics of centrifugally captured bacteria from urine samples.

Authors:  Ulrich-Christian Schröder; Frank Bokeloh; Mary O'Sullivan; Uwe Glaser; Katharina Wolf; Wolfgang Pfister; Jürgen Popp; Jens Ducrée; Ute Neugebauer
Journal:  Biomicrofluidics       Date:  2015-08-11       Impact factor: 2.800

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