Literature DB >> 27193849

Studying Kinetochores In Vivo Using FLIM-FRET.

Tae Yeon Yoo1, Daniel J Needleman2,3.   

Abstract

Kinetochores play essential roles in coordinating mitosis, as a mechanical connector between chromosome and microtubule and as a source of numerous biochemical signals. These mechanical and biochemical behaviors of kinetochores change dynamically in cells during mitosis. Therefore, understanding kinetochore function requires an imaging tool that quantifies the protein-protein interactions or biochemical changes with high spatiotemporal resolution. FRET has previously been used in combination with biosensors to probe protein-protein interactions and biochemical activity. In this chapter, we introduce FLIM-FRET, a lifetime-based method that quantifies FRET, and describe the use of FLIM-FRET as a method for studying dynamic kinetochore behavior in cells with high spatiotemporal resolution.

Entities:  

Keywords:  Bayesian analysis; FLIM-FRET; Kinetochore; Live cell imaging

Mesh:

Year:  2016        PMID: 27193849     DOI: 10.1007/978-1-4939-3542-0_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Using FLIM-FRET for Characterizing Spatial Interactions in the Spindle.

Authors:  Stephanie C Ems-McClung; Claire E Walczak
Journal:  Methods Mol Biol       Date:  2022

2.  Measuring NDC80 binding reveals the molecular basis of tension-dependent kinetochore-microtubule attachments.

Authors:  Tae Yeon Yoo; Jeong-Mo Choi; William Conway; Che-Hang Yu; Rohit V Pappu; Daniel J Needleman
Journal:  Elife       Date:  2018-07-25       Impact factor: 8.140

3.  Developing and Testing a Bayesian Analysis of Fluorescence Lifetime Measurements.

Authors:  Bryan Kaye; Peter J Foster; Tae Yeon Yoo; Daniel J Needleman
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

4.  Automated Fluorescence Lifetime Imaging High-Content Analysis of Förster Resonance Energy Transfer between Endogenously Labeled Kinetochore Proteins in Live Budding Yeast Cells.

Authors:  Wenjun Guo; Sunil Kumar; Frederik Görlitz; Edwin Garcia; Yuriy Alexandrov; Ian Munro; Douglas J Kelly; Sean Warren; Peter Thorpe; Christopher Dunsby; Paul French
Journal:  SLAS Technol       Date:  2019-01-10       Impact factor: 3.047

  4 in total

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