Literature DB >> 26158443

High-throughput microfluidics to control and measure signaling dynamics in single yeast cells.

Anders S Hansen1, Nan Hao2, Erin K O'Shea3.   

Abstract

Microfluidics coupled to quantitative time-lapse fluorescence microscopy is transforming our ability to control, measure and understand signaling dynamics in single living cells. Here we describe a pipeline that incorporates multiplexed microfluidic cell culture, automated programmable fluid handling for cell perturbation, quantitative time-lapse microscopy and computational analysis of time-lapse movies. We illustrate how this setup can be used to control the nuclear localization of the budding yeast transcription factor Msn2. By using this protocol, we generate oscillations of Msn2 localization and measure the dynamic gene expression response of individual genes in single cells. The protocol allows a single researcher to perform up to 20 different experiments in a single day, while collecting data for thousands of single cells. Compared with other protocols, the present protocol is relatively easy to adopt and of higher throughput. The protocol can be widely used to control and monitor single-cell signaling dynamics in other signal transduction systems in microorganisms.

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Year:  2015        PMID: 26158443      PMCID: PMC4593625          DOI: 10.1038/nprot.2015.079

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  76 in total

1.  Global analysis of protein localization in budding yeast.

Authors:  Won-Ki Huh; James V Falvo; Luke C Gerke; Adam S Carroll; Russell W Howson; Jonathan S Weissman; Erin K O'Shea
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

2.  Controlling protein association and subcellular localization with a synthetic ligand that induces heterodimerization of proteins.

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Journal:  Proc Natl Acad Sci U S A       Date:  1996-05-14       Impact factor: 11.205

3.  Nuclear localization of the C2H2 zinc finger protein Msn2p is regulated by stress and protein kinase A activity.

Authors:  W Görner; E Durchschlag; M T Martinez-Pastor; F Estruch; G Ammerer; B Hamilton; H Ruis; C Schüller
Journal:  Genes Dev       Date:  1998-02-15       Impact factor: 11.361

4.  Analysis of mitogen-activated protein kinase signaling specificity in response to hyperosmotic stress: use of an analog-sensitive HOG1 allele.

Authors:  Patrick J Westfall; Jeremy Thorner
Journal:  Eukaryot Cell       Date:  2006-08

5.  Protein-carbohydrate interaction. VII. Physical and chemical studies on concanavalin A, the hemagglutinin of the jack bean.

Authors:  B B Agrawal; I J Goldstein
Journal:  Arch Biochem Biophys       Date:  1968-03-20       Impact factor: 4.013

6.  Thermodynamics of concanavalin A dimer-tetramer self-association: sedimentation equilibrium studies.

Authors:  D F Senear; D C Teller
Journal:  Biochemistry       Date:  1981-05-26       Impact factor: 3.162

7.  Cyan and yellow super fluorescent proteins with improved brightness, protein folding, and FRET Förster radius.

Authors:  Gert-Jan Kremers; Joachim Goedhart; Erik B van Munster; Theodorus W J Gadella
Journal:  Biochemistry       Date:  2006-05-30       Impact factor: 3.162

8.  Optimized cassettes for fluorescent protein tagging in Saccharomyces cerevisiae.

Authors:  Mark A Sheff; Kurt S Thorn
Journal:  Yeast       Date:  2004-06       Impact factor: 3.239

9.  Two cyclin-dependent kinases promote RNA polymerase II transcription and formation of the scaffold complex.

Authors:  Ying Liu; Charles Kung; James Fishburn; Aseem Z Ansari; Kevan M Shokat; Steven Hahn
Journal:  Mol Cell Biol       Date:  2004-02       Impact factor: 4.272

10.  JCat: a novel tool to adapt codon usage of a target gene to its potential expression host.

Authors:  Andreas Grote; Karsten Hiller; Maurice Scheer; Richard Münch; Bernd Nörtemann; Dietmar C Hempel; Dieter Jahn
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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  28 in total

1.  Coupled feedback loops control the stimulus-dependent dynamics of the yeast transcription factor Msn2.

Authors:  Yanfei Jiang; Zohreh AkhavanAghdam; Lev S Tsimring; Nan Hao
Journal:  J Biol Chem       Date:  2017-06-21       Impact factor: 5.157

2.  Transfer of the Septin Ring to Cytokinetic Remnants in ER Stress Directs Age-Sensitive Cell-Cycle Re-entry.

Authors:  Jesse T Chao; Francisco Piña; Masayuki Onishi; Yifat Cohen; Ya-Shiuan Lai; Maya Schuldiner; Maho Niwa
Journal:  Dev Cell       Date:  2019-09-26       Impact factor: 12.270

3.  Reconstructing dynamic molecular states from single-cell time series.

Authors:  Lirong Huang; Loic Pauleve; Christoph Zechner; Michael Unger; Anders S Hansen; Heinz Koeppl
Journal:  J R Soc Interface       Date:  2016-09       Impact factor: 4.118

4.  Mitogen-activated protein kinase (MAPK) dynamics determine cell fate in the yeast mating response.

Authors:  Yang Li; Julie Roberts; Zohreh AkhavanAghdam; Nan Hao
Journal:  J Biol Chem       Date:  2017-11-09       Impact factor: 5.157

5.  Quantitative analysis of the yeast pheromone pathway.

Authors:  James P Shellhammer; Amy E Pomeroy; Yang Li; Lorena Dujmusic; Timothy C Elston; Nan Hao; Henrik G Dohlman
Journal:  Yeast       Date:  2019-06-27       Impact factor: 3.239

Review 6.  Microfluidic technologies for yeast replicative lifespan studies.

Authors:  Kenneth L Chen; Matthew M Crane; Matt Kaeberlein
Journal:  Mech Ageing Dev       Date:  2016-03-23       Impact factor: 5.432

7.  A protein kinase A-regulated network encodes short- and long-lived cellular memories.

Authors:  Yanfei Jiang; Zohreh AkhavanAghdam; Yutian Li; Brian M Zid; Nan Hao
Journal:  Sci Signal       Date:  2020-05-19       Impact factor: 8.192

Review 8.  New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling.

Authors:  M Sumit; S Takayama; J J Linderman
Journal:  Integr Biol (Camb)       Date:  2017-01-23       Impact factor: 2.192

9.  Limits on information transduction through amplitude and frequency regulation of transcription factor activity.

Authors:  Anders S Hansen; Erin K O'Shea
Journal:  Elife       Date:  2015-05-18       Impact factor: 8.140

10.  Linear Integration of ERK Activity Predominates over Persistence Detection in Fra-1 Regulation.

Authors:  Taryn E Gillies; Michael Pargett; Marta Minguet; Alex E Davies; John G Albeck
Journal:  Cell Syst       Date:  2017-11-29       Impact factor: 10.304

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