Literature DB >> 19826080

Tracking lineages of single cells in lines using a microfluidic device.

Amy C Rowat1, James C Bird, Jeremy J Agresti, Oliver J Rando, David A Weitz.   

Abstract

Cells within a genetically identical population exhibit phenotypic variation that in some cases can persist across multiple generations. However, information about the temporal variation and familial dependence of protein levels remains hidden when studying the population as an ensemble. To correlate phenotypes with the age and genealogy of single cells over time, we developed a microfluidic device that enables us to track multiple lineages in parallel by trapping single cells and constraining them to grow in lines for as many as 8 divisions. To illustrate the utility of this method, we investigate lineages of cells expressing one of 3 naturally regulated proteins, each with a different representative expression behavior. Within lineages deriving from single cells, we observe genealogically related clusters of cells with similar phenotype; cluster sizes vary markedly among the 3 proteins, suggesting that the time scale of phenotypic persistence is protein-specific. Growing lines of cells also allows us to dynamically track temporal fluctuations in protein levels at the same time as pedigree relationships among the cells as they divide in the chambers. We observe bursts in expression levels of the heat shock protein Hsp12-GFP that occur simultaneously in mother and daughter cells. In contrast, the ribosomal protein Rps8b-GFP shows relatively constant levels of expression over time. This method is an essential step toward understanding the time scales of phenotypic variation and correlations in phenotype among single cells within a population.

Mesh:

Substances:

Year:  2009        PMID: 19826080      PMCID: PMC2761238          DOI: 10.1073/pnas.0903163106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  39 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.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

3.  A microfluidic chemostat for experiments with bacterial and yeast cells.

Authors:  Alex Groisman; Caroline Lobo; HoJung Cho; J Kyle Campbell; Yann S Dufour; Ann M Stevens; Andre Levchenko
Journal:  Nat Methods       Date:  2005-09       Impact factor: 28.547

Review 4.  Timescales of genetic and epigenetic inheritance.

Authors:  Oliver J Rando; Kevin J Verstrepen
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

5.  Rapid Prototyping of Microfluidic Systems in Poly(dimethylsiloxane).

Authors:  D C Duffy; J C McDonald; O J Schueller; G M Whitesides
Journal:  Anal Chem       Date:  1998-12-01       Impact factor: 6.986

6.  Effect of velocity of distribution on red cell distribution in capillary blood vessels.

Authors:  R T Yen; Y C Fung
Journal:  Am J Physiol       Date:  1978-08

Review 7.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

8.  Single-RNA counting reveals alternative modes of gene expression in yeast.

Authors:  Daniel Zenklusen; Daniel R Larson; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2008-11-16       Impact factor: 15.369

9.  A microfluidic system for dynamic yeast cell imaging.

Authors:  Philip J Lee; Noah C Helman; Wendell A Lim; Paul J Hung
Journal:  Biotechniques       Date:  2008-01       Impact factor: 1.993

10.  Transcriptional pulsing of a developmental gene.

Authors:  Jonathan R Chubb; Tatjana Trcek; Shailesh M Shenoy; Robert H Singer
Journal:  Curr Biol       Date:  2006-05-23       Impact factor: 10.834

View more
  39 in total

1.  High-throughput study of synaptic transmission at the neuromuscular junction enabled by optogenetics and microfluidics.

Authors:  Jeffrey N Stirman; Martin Brauner; Alexander Gottschalk; Hang Lu
Journal:  J Neurosci Methods       Date:  2010-06-09       Impact factor: 2.390

2.  Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform.

Authors:  Sung Sik Lee; Ima Avalos Vizcarra; Daphne H E W Huberts; Luke P Lee; Matthias Heinemann
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-14       Impact factor: 11.205

3.  Growth propagation of yeast in linear arrays of microfluidic chambers over many generations.

Authors:  Li Wang; Jiaji Liu; Xin Li; Jian Shi; Jie Hu; Ran Cui; Zhi-Ling Zhang; Dai-Wen Pang; Yong Chen
Journal:  Biomicrofluidics       Date:  2011-12-16       Impact factor: 2.800

4.  Versatile, simple-to-use microfluidic cell-culturing chip for long-term, high-resolution, time-lapse imaging.

Authors:  Olivier Frey; Fabian Rudolf; Gregor W Schmidt; Andreas Hierlemann
Journal:  Anal Chem       Date:  2015-04-10       Impact factor: 6.986

5.  Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking.

Authors:  Marketa Ricicova; Mani Hamidi; Adam Quiring; Antti Niemistö; Eldon Emberly; Carl L Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-26       Impact factor: 11.205

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

Authors:  Anders S Hansen; Nan Hao; Erin K O'Shea
Journal:  Nat Protoc       Date:  2015-07-09       Impact factor: 13.491

7.  A microfluidic platform for profiling biomechanical properties of bacteria.

Authors:  Xuanhao Sun; William D Weinlandt; Harsh Patel; Mingming Wu; Christopher J Hernandez
Journal:  Lab Chip       Date:  2014-07-21       Impact factor: 6.799

8.  High-throughput analysis of yeast replicative aging using a microfluidic system.

Authors:  Myeong Chan Jo; Wei Liu; Liang Gu; Weiwei Dang; Lidong Qin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

9.  Protein-level fluctuation correlation at the microcolony level and its application to the Vibrio harveyi quorum-sensing circuit.

Authors:  Yufang Wang; Kimberly C Tu; N P Ong; Bonnie L Bassler; Ned S Wingreen
Journal:  Biophys J       Date:  2011-06-22       Impact factor: 4.033

10.  Real-time detection of changes in the electrophoretic mobility of a single cell induced by hyperosmotic stress.

Authors:  Pau Mestres; Dmitri Petrov
Journal:  Eur Biophys J       Date:  2011-06-28       Impact factor: 1.733

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.