Literature DB >> 25980547

High-throughput cell-cycle imaging opens new doors for discovery.

Nathan J Kuwada1,2, Beth Traxler3, Paul A Wiggins4,5,3.   

Abstract

During the life of a cell, numerous essential cellular processes must be coordinated both spatially and temporally, from DNA replication and chromosome segregation to gene expression and cytokinesis. In order to analyze these inherently dynamic and cell-cycle-dependent processes, it is essential to observe the dynamic localization of the cellular machinery throughout the entire cell cycle. Although some coarse features of cell-cycle dynamics can be captured in snapshot imaging, where cellular size or morphology can be used as a proxy for cell-cycle phase, the inherently stochastic nature of ultrastructures in the cell makes the direct visualization of subcellular dynamics an essential tool to differentiate between structural differences that are the result of biologically relevant dynamics versus cell-to-cell variation. With these goals in mind, we have developed a unique high-throughput imaging approach, and have recently applied this to characterize the cell-cycle localization of nearly every protein in the bacterial cell (Kuwada in Mol Microbiol, 95(1), 64-79, 2015). This approach combines large-format sample preparation with automated image capture, processing, and analysis to quantitatively characterize proteome localization of tens of thousands of complete cell cycles.

Keywords:  Bacterial protein dynamics; High-throughput imaging; Quantitative cell biology

Mesh:

Substances:

Year:  2015        PMID: 25980547     DOI: 10.1007/s00294-015-0493-y

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  10 in total

1.  Cytoplasmic dynamics reveals two modes of nucleoid-dependent mobility.

Authors:  Stella Stylianidou; Nathan J Kuwada; Paul A Wiggins
Journal:  Biophys J       Date:  2014-12-02       Impact factor: 4.033

2.  Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells.

Authors:  Yuichi Taniguchi; Paul J Choi; Gene-Wei Li; Huiyi Chen; Mohan Babu; Jeremy Hearn; Andrew Emili; X Sunney Xie
Journal:  Science       Date:  2010-07-30       Impact factor: 47.728

3.  High-throughput gene expression analysis at the level of single proteins using a microfluidic turbidostat and automated cell tracking.

Authors:  G Ullman; M Wallden; E G Marklund; A Mahmutovic; Ivan Razinkov; J Elf
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-12-24       Impact factor: 6.237

4.  High-throughput, subpixel precision analysis of bacterial morphogenesis and intracellular spatio-temporal dynamics.

Authors:  Oleksii Sliusarenko; Jennifer Heinritz; Thierry Emonet; Christine Jacobs-Wagner
Journal:  Mol Microbiol       Date:  2011-03-17       Impact factor: 3.501

5.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

6.  Complete set of ORF clones of Escherichia coli ASKA library (a complete set of E. coli K-12 ORF archive): unique resources for biological research.

Authors:  Masanari Kitagawa; Takeshi Ara; Mohammad Arifuzzaman; Tomoko Ioka-Nakamichi; Eiji Inamoto; Hiromi Toyonaga; Hirotada Mori
Journal:  DNA Res       Date:  2006-01-09       Impact factor: 4.458

7.  Strong intranucleoid interactions organize the Escherichia coli chromosome into a nucleoid filament.

Authors:  Paul A Wiggins; Keith C Cheveralls; Joshua S Martin; Robert Lintner; Jané Kondev
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-01       Impact factor: 11.205

8.  Quantitative genome-scale analysis of protein localization in an asymmetric bacterium.

Authors:  John N Werner; Eric Y Chen; Jonathan M Guberman; Angela R Zippilli; Joseph J Irgon; Zemer Gitai
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-22       Impact factor: 11.205

9.  Genome-scale quantitative characterization of bacterial protein localization dynamics throughout the cell cycle.

Authors:  Nathan J Kuwada; Beth Traxler; Paul A Wiggins
Journal:  Mol Microbiol       Date:  2014-11-24       Impact factor: 3.501

10.  Mapping the driving forces of chromosome structure and segregation in Escherichia coli.

Authors:  Nathan J Kuwada; Keith C Cheveralls; Beth Traxler; Paul A Wiggins
Journal:  Nucleic Acids Res       Date:  2013-06-17       Impact factor: 16.971

  10 in total
  7 in total

Review 1.  Using the power of genetic suppressors to probe the essential functions of RNase E.

Authors:  Diarmaid Hughes
Journal:  Curr Genet       Date:  2015-08-01       Impact factor: 3.886

2.  Cytoplasmic RNA-Protein Particles Exhibit Non-Gaussian Subdiffusive Behavior.

Authors:  Thomas J Lampo; Stella Stylianidou; Mikael P Backlund; Paul A Wiggins; Andrew J Spakowitz
Journal:  Biophys J       Date:  2017-01-11       Impact factor: 4.033

Review 3.  Fundamental principles in bacterial physiology-history, recent progress, and the future with focus on cell size control: a review.

Authors:  Suckjoon Jun; Fangwei Si; Rami Pugatch; Matthew Scott
Journal:  Rep Prog Phys       Date:  2018-01-09

4.  Transcriptomic analysis displays the effect of (-)-roemerine on the motility and nutrient uptake in Escherichia coli.

Authors:  Dilara Ayyildiz; Kazim Yalcin Arga; Fatma Gizem Avci; Fatma Ece Altinisik; Caglayan Gurer; Gizem Gulsoy Toplan; Dilek Kazan; Katharina Wozny; Britta Brügger; Bulent Mertoglu; Berna Sariyar Akbulut
Journal:  Curr Genet       Date:  2016-12-24       Impact factor: 3.886

5.  Probing bacterial cell biology using image cytometry.

Authors:  Julie A Cass; Stella Stylianidou; Nathan J Kuwada; Beth Traxler; Paul A Wiggins
Journal:  Mol Microbiol       Date:  2017-01-10       Impact factor: 3.501

Review 6.  Ribosome profiling the cell cycle: lessons and challenges.

Authors:  Rodolfo Aramayo; Michael Polymenis
Journal:  Curr Genet       Date:  2017-04-27       Impact factor: 3.886

Review 7.  Connecting virulence pathways to cell-cycle progression in the fungal pathogen Cryptococcus neoformans.

Authors:  Christina M Kelliher; Steven B Haase
Journal:  Curr Genet       Date:  2017-03-06       Impact factor: 3.886

  7 in total

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