Literature DB >> 22137453

Quantitative measurement of single cell dynamics.

Denise Bakstad1, Antony Adamson, David G Spiller, Michael R H White.   

Abstract

Over the past 20 years luminescent and fluorescent imaging assays have been developed to report on the dynamics of transcription and protein translocation in single cells. The combination of these measurements with mathematical analysis is having an increasingly significant impact on cell biology. There is an urgent need to translate these assays to the study of cells and tissues in vivo, which requires new tools and technologies. Emergence of these new tools and techniques will further the understanding of the role of signalling and transcriptional dynamics in the generation of cellular heterogeneity and the control of cell fate.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 22137453     DOI: 10.1016/j.copbio.2011.11.007

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  11 in total

1.  Quantitative analysis of receptor tyrosine kinase-effector coupling at functionally relevant stimulus levels.

Authors:  Simin Li; Devayani Bhave; Jennifer M Chow; Thomas V Riera; Sandra Schlee; Simone Rauch; Mariya Atanasova; Richard L Cate; Adrian Whitty
Journal:  J Biol Chem       Date:  2015-01-29       Impact factor: 5.157

2.  USNCTAM perspectives on mechanics in medicine.

Authors:  Gang Bao; Yuri Bazilevs; Jae-Hyun Chung; Paolo Decuzzi; Horacio D Espinosa; Mauro Ferrari; Huajian Gao; Shaolie S Hossain; Thomas J R Hughes; Roger D Kamm; Wing Kam Liu; Alison Marsden; Bernhard Schrefler
Journal:  J R Soc Interface       Date:  2014-08-06       Impact factor: 4.118

Review 3.  Technology advancement for integrative stem cell analyses.

Authors:  Yoon Jeong; Jonghoon Choi; Kwan Hyi Lee
Journal:  Tissue Eng Part B Rev       Date:  2014-07-03       Impact factor: 6.389

Review 4.  Advances in measuring single-cell pharmacology in vivo.

Authors:  Claudio Vinegoni; J Matthew Dubach; Greg M Thurber; Miles A Miller; Ralph Mazitschek; Ralph Weissleder
Journal:  Drug Discov Today       Date:  2015-05-27       Impact factor: 7.851

Review 5.  Encoding and decoding cellular information through signaling dynamics.

Authors:  Jeremy E Purvis; Galit Lahav
Journal:  Cell       Date:  2013-02-28       Impact factor: 41.582

Review 6.  Mathematical models in GnRH research.

Authors:  Margaritis Voliotis; Zoe Plain; Xiao Feng Li; Craig A McArdle; Kevin T O'Byrne; Krasimira Tsaneva-Atanasova
Journal:  J Neuroendocrinol       Date:  2022-01-25       Impact factor: 3.870

7.  A model for aryl hydrocarbon receptor-activated gene expression shows potency and efficacy changes and predicts squelching due to competition for transcription co-activators.

Authors:  Ted W Simon; Robert A Budinsky; J Craig Rowlands
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

8.  Understanding the dynamics of Toll-like Receptor 5 response to flagellin and its regulation by estradiol.

Authors:  Ignacio Caballero; James Boyd; Carmen Almiñana; Javier A Sánchez-López; Shaghayegh Basatvat; Mehrnaz Montazeri; Nasim Maslehat Lay; Sarah Elliott; David G Spiller; Michael R H White; Alireza Fazeli
Journal:  Sci Rep       Date:  2017-01-23       Impact factor: 4.379

Review 9.  Multiplicity of Mathematical Modeling Strategies to Search for Molecular and Cellular Insights into Bacteria Lung Infection.

Authors:  Martina Cantone; Guido Santos; Pia Wentker; Xin Lai; Julio Vera
Journal:  Front Physiol       Date:  2017-08-30       Impact factor: 4.566

10.  A Rapid and Convenient Method for in Vivo Fluorescent Imaging of Protoscolices of Echinococcus multilocularis.

Authors:  Tao Yang; Sibo Wang; Xuyong Zhang; Jie Xia; Jun Guo; Jixue Hou; Hongwei Zhang; Xueling Chen; Xiangwei Wu
Journal:  Korean J Parasitol       Date:  2016-04-30       Impact factor: 1.341

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.