Literature DB >> 22468600

Single-cell analysis in biotechnology, systems biology, and biocatalysis.

Frederik S O Fritzsch1, Christian Dusny, Oliver Frick, Andreas Schmid.   

Abstract

Single-cell analysis (SCA) has been increasingly recognized as the key technology for the elucidation of cellular functions, which are not accessible from bulk measurements on the population level. Thus far, SCA has been achieved by miniaturization of established engineering concepts to match the dimensions of a single cell. However, SCA requires procedures beyond the classical approach of upstream processing, fermentation, and downstream processing because the biological system itself defines the technical demands. This review characterizes currently available microfluidics and microreactors for invasive (i.e., chemical) and noninvasive (i.e., biological) SCA. We describe the recent SCA omics approaches as tools for systems biology and discuss the role of SCA in genomics, transcriptomics, proteomics, metabolomics, and fluxomics. Furthermore, we discuss applications of SCA for biocatalysis and metabolic engineering as well as its potential for bioprocess optimization. Finally, we define present and future challenges for SCA and propose strategies to overcome current limitations.

Mesh:

Year:  2012        PMID: 22468600     DOI: 10.1146/annurev-chembioeng-062011-081056

Source DB:  PubMed          Journal:  Annu Rev Chem Biomol Eng        ISSN: 1947-5438            Impact factor:   11.059


  43 in total

1.  Carbon nanoelectrodes for single-cell probing.

Authors:  Sean E Anderson; Haim H Bau
Journal:  Nanotechnology       Date:  2015-04-16       Impact factor: 3.874

2.  Magnetographic array for the capture and enumeration of single cells and cell pairs.

Authors:  C Wyatt Shields; Carissa E Livingston; Benjamin B Yellen; Gabriel P López; David M Murdoch
Journal:  Biomicrofluidics       Date:  2014-07-01       Impact factor: 2.800

3.  Single-cell printing based on impedance detection.

Authors:  J Schoendube; D Wright; R Zengerle; P Koltay
Journal:  Biomicrofluidics       Date:  2015-02-11       Impact factor: 2.800

Review 4.  Estimation methods for heterogeneous cell population models in systems biology.

Authors:  Steffen Waldherr
Journal:  J R Soc Interface       Date:  2018-10-31       Impact factor: 4.118

5.  Single-Cell Analysis of [18F]Fluorodeoxyglucose Uptake by Droplet Radiofluidics.

Authors:  Silvan Türkcan; Julia Nguyen; Marta Vilalta; Bin Shen; Frederick T Chin; Guillem Pratx; Paul Abbyad
Journal:  Anal Chem       Date:  2015-06-15       Impact factor: 6.986

6.  Isolated microbial single cells and resulting micropopulations grow faster in controlled environments.

Authors:  Christian Dusny; Frederik Sven Ole Fritzsch; Oliver Frick; Andreas Schmid
Journal:  Appl Environ Microbiol       Date:  2012-07-20       Impact factor: 4.792

7.  Real-time monitoring of cell viability and cell density on the basis of a three dimensional optical reflectance method (3D-ORM): investigation of the effect of sub-lethal and lethal injuries.

Authors:  Alison Brognaux; Jörg Bugge; Friedel H Schwartz; Philippe Thonart; Samuel Telek; Frank Delvigne
Journal:  J Ind Microbiol Biotechnol       Date:  2013-04-21       Impact factor: 3.346

8.  Reversible photoswitching of spiropyran-conjugated semiconducting polymer dots.

Authors:  Yang-Hsiang Chan; Maria Elena Gallina; Xuanjun Zhang; I-Che Wu; Yuhui Jin; Wei Sun; Daniel T Chiu
Journal:  Anal Chem       Date:  2012-10-22       Impact factor: 6.986

9.  Quantification of single-cell nanoparticle concentrations and the distribution of these concentrations in cell population.

Authors:  Jason T Rashkow; Sunny C Patel; Ryan Tappero; Balaji Sitharaman
Journal:  J R Soc Interface       Date:  2014-02-19       Impact factor: 4.118

Review 10.  Progress toward single cell metabolomics.

Authors:  Stanislav S Rubakhin; Eric J Lanni; Jonathan V Sweedler
Journal:  Curr Opin Biotechnol       Date:  2012-12-13       Impact factor: 9.740

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.