Literature DB >> 29029257

Beyond the bulk: disclosing the life of single microbial cells.

Katrin Rosenthal1,2, Verena Oehling1,2, Christian Dusny1, Andreas Schmid1.   

Abstract

Microbial single cell analysis has led to discoveries that are beyond what can be resolved with population-based studies. It provides a pristine view of the mechanisms that organize cellular physiology, unbiased by population heterogeneity or uncontrollable environmental impacts. A holistic description of cellular functions at the single cell level requires analytical concepts beyond the miniaturization of existing technologies, defined but uncontrolled by the biological system itself. This review provides an overview of the latest advances in single cell technologies and demonstrates their potential. Opportunities and limitations of single cell microbiology are discussed using selected application-related examples. © FEMS 2017.

Entities:  

Keywords:  heterogeneity; lab-on-a-chip; microfluidics; single cell analysis; single cell dynamics; technical bias

Mesh:

Year:  2017        PMID: 29029257      PMCID: PMC5812503          DOI: 10.1093/femsre/fux044

Source DB:  PubMed          Journal:  FEMS Microbiol Rev        ISSN: 0168-6445            Impact factor:   16.408


  301 in total

1.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

2.  Modeling and CFD simulation of nutrient distribution in picoliter bioreactors for bacterial growth studies on single-cell level.

Authors:  Christoph Westerwalbesloh; Alexander Grünberger; Birgit Stute; Sophie Weber; Wolfgang Wiechert; Dietrich Kohlheyer; Eric von Lieres
Journal:  Lab Chip       Date:  2015-09-08       Impact factor: 6.799

3.  Beyond growth rate 0.6: What drives Corynebacterium glutamicum to higher growth rates in defined medium.

Authors:  Simon Unthan; Alexander Grünberger; Jan van Ooyen; Jochem Gätgens; Johanna Heinrich; Nicole Paczia; Wolfgang Wiechert; Dietrich Kohlheyer; Stephan Noack
Journal:  Biotechnol Bioeng       Date:  2013-09-24       Impact factor: 4.530

4.  Contributions of low molecule number and chromosomal positioning to stochastic gene expression.

Authors:  Attila Becskei; Benjamin B Kaufmann; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2005-08-07       Impact factor: 38.330

5.  Swimming in circles: motion of bacteria near solid boundaries.

Authors:  Eric Lauga; Willow R DiLuzio; George M Whitesides; Howard A Stone
Journal:  Biophys J       Date:  2005-10-20       Impact factor: 4.033

Review 6.  Microfluidics expanding the frontiers of microbial ecology.

Authors:  Roberto Rusconi; Melissa Garren; Roman Stocker
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

7.  Single cell genome amplification accelerates identification of the apratoxin biosynthetic pathway from a complex microbial assemblage.

Authors:  Rashel V Grindberg; Thomas Ishoey; Dumitru Brinza; Eduardo Esquenazi; R Cameron Coates; Wei-ting Liu; Lena Gerwick; Pieter C Dorrestein; Pavel Pevzner; Roger Lasken; William H Gerwick
Journal:  PLoS One       Date:  2011-04-12       Impact factor: 3.240

8.  Evolution of stress response in the face of unreliable environmental signals.

Authors:  Markus Arnoldini; Rafal Mostowy; Sebastian Bonhoeffer; Martin Ackermann
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

9.  Analysis of fluorescent reporters indicates heterogeneity in glucose uptake and utilization in clonal bacterial populations.

Authors:  Nela Nikolic; Thomas Barner; Martin Ackermann
Journal:  BMC Microbiol       Date:  2013-11-15       Impact factor: 3.605

10.  MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis.

Authors:  Adrien Ducret; Ellen M Quardokus; Yves V Brun
Journal:  Nat Microbiol       Date:  2016-06-20       Impact factor: 17.745

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  11 in total

Review 1.  Microbial phenomics linking the phenotype to function: The potential of Raman spectroscopy.

Authors:  Jin-Kyung Hong; Soo Bin Kim; Eun Sun Lyou; Tae Kwon Lee
Journal:  J Microbiol       Date:  2021-01-26       Impact factor: 3.422

Review 2.  Next-generation physiology approaches to study microbiome function at single cell level.

Authors:  Roland Hatzenpichler; Viola Krukenberg; Rachel L Spietz; Zackary J Jay
Journal:  Nat Rev Microbiol       Date:  2020-02-13       Impact factor: 60.633

3.  Combining Microscopy Assays of Bacteria-Surface Interactions To Better Evaluate Antimicrobial Polymer Coatings.

Authors:  M K L N Sikosana; A Ruland; C Werner; L D Renner
Journal:  Appl Environ Microbiol       Date:  2022-02-02       Impact factor: 5.005

4.  Analysis of population structures of the microalga Acutodesmus obliquus during lipid production using multi-dimensional single-cell analysis.

Authors:  Michael Sandmann; Michaela Schafberg; Martin Lippold; Sascha Rohn
Journal:  Sci Rep       Date:  2018-04-19       Impact factor: 4.379

5.  Dimension-reduction simplifies the analysis of signal crosstalk in a bacterial quorum sensing pathway.

Authors:  Taylor Miller; Keval Patel; Coralis Rodriguez; Eric V Stabb; Stephen J Hagen
Journal:  Sci Rep       Date:  2021-10-05       Impact factor: 4.379

6.  Droplet-based microfluidics platform for antifungal analysis against filamentous fungi.

Authors:  Sehrish Iftikhar; Aurélie Vigne; Julia Elisa Sepulveda-Diaz
Journal:  Sci Rep       Date:  2021-11-26       Impact factor: 4.379

7.  Growth-Associated Droplet Shrinkage for Bacterial Quantification, Growth Monitoring, and Separation by Ultrahigh-Throughput Microfluidics.

Authors:  Émilie Geersens; Stéphane Vuilleumier; Michael Ryckelynck
Journal:  ACS Omega       Date:  2022-03-30

8.  Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy.

Authors:  Anna-Maria Marbà-Ardébol; Jörn Emmerich; Michael Muthig; Peter Neubauer; Stefan Junne
Journal:  Microb Cell Fact       Date:  2018-05-15       Impact factor: 5.328

9.  Viability Assessment Following Anticancer Treatment Requires Single-Cell Visualization.

Authors:  Razmik Mirzayans; Bonnie Andrais; David Murray
Journal:  Cancers (Basel)       Date:  2018-08-01       Impact factor: 6.639

10.  Multiple timescales in bacterial growth homeostasis.

Authors:  Alejandro Stawsky; Harsh Vashistha; Hanna Salman; Naama Brenner
Journal:  iScience       Date:  2021-12-28
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