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Measuring Mobility in Chromatin by Intensity-Sorted FCS

The architectural organization of chromatin can play an important role in genome regulation by affecting the mobility of molecules within its surroundings via binding interactions and molecular crowding. The diffusion of molecules at specific locations in the nucleus can be studied by fluorescence c...

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Autores principales: Di Bona, Melody, Mancini, Michael A., Mazza, Davide, Vicidomini, Giuseppe, Diaspro, Alberto, Lanzanò, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428914/
https://www.ncbi.nlm.nih.gov/pubmed/30819566
http://dx.doi.org/10.1016/j.bpj.2019.02.003
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author Di Bona, Melody
Mancini, Michael A.
Mazza, Davide
Vicidomini, Giuseppe
Diaspro, Alberto
Lanzanò, Luca
author_facet Di Bona, Melody
Mancini, Michael A.
Mazza, Davide
Vicidomini, Giuseppe
Diaspro, Alberto
Lanzanò, Luca
author_sort Di Bona, Melody
collection PubMed
description The architectural organization of chromatin can play an important role in genome regulation by affecting the mobility of molecules within its surroundings via binding interactions and molecular crowding. The diffusion of molecules at specific locations in the nucleus can be studied by fluorescence correlation spectroscopy (FCS), a well-established technique based on the analysis of fluorescence intensity fluctuations detected in a confocal observation volume. However, detecting subtle variations of mobility between different chromatin regions remains challenging with currently available FCS methods. Here, we introduce a method that samples multiple positions by slowly scanning the FCS observation volume across the nucleus. Analyzing the data in short time segments, we preserve the high temporal resolution of single-point FCS while probing different nuclear regions in the same cell. Using the intensity level of the probe (or a DNA marker) as a reference, we efficiently sort the FCS segments into different populations and obtain average correlation functions that are associated to different chromatin regions. This sorting and averaging strategy renders the method statistically robust while preserving the observation of intranuclear variations of mobility. Using this approach, we quantified diffusion of monomeric GFP in high versus low chromatin density regions. We found that GFP mobility was reduced in heterochromatin, especially within perinucleolar heterochromatin. Moreover, we found that modulation of chromatin compaction by ATP depletion, or treatment with solutions of different osmolarity, differentially affected the ratio of diffusion in both regions. Then, we used the approach to probe the mobility of estrogen receptor-α in the vicinity of an integrated multicopy prolactin gene array. Finally, we discussed the coupling of this method with stimulated emission depletion FCS for performing FCS at subdiffraction spatial scales.
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spelling pubmed-64289142020-03-19 Measuring Mobility in Chromatin by Intensity-Sorted FCS Di Bona, Melody Mancini, Michael A. Mazza, Davide Vicidomini, Giuseppe Diaspro, Alberto Lanzanò, Luca Biophys J Articles The architectural organization of chromatin can play an important role in genome regulation by affecting the mobility of molecules within its surroundings via binding interactions and molecular crowding. The diffusion of molecules at specific locations in the nucleus can be studied by fluorescence correlation spectroscopy (FCS), a well-established technique based on the analysis of fluorescence intensity fluctuations detected in a confocal observation volume. However, detecting subtle variations of mobility between different chromatin regions remains challenging with currently available FCS methods. Here, we introduce a method that samples multiple positions by slowly scanning the FCS observation volume across the nucleus. Analyzing the data in short time segments, we preserve the high temporal resolution of single-point FCS while probing different nuclear regions in the same cell. Using the intensity level of the probe (or a DNA marker) as a reference, we efficiently sort the FCS segments into different populations and obtain average correlation functions that are associated to different chromatin regions. This sorting and averaging strategy renders the method statistically robust while preserving the observation of intranuclear variations of mobility. Using this approach, we quantified diffusion of monomeric GFP in high versus low chromatin density regions. We found that GFP mobility was reduced in heterochromatin, especially within perinucleolar heterochromatin. Moreover, we found that modulation of chromatin compaction by ATP depletion, or treatment with solutions of different osmolarity, differentially affected the ratio of diffusion in both regions. Then, we used the approach to probe the mobility of estrogen receptor-α in the vicinity of an integrated multicopy prolactin gene array. Finally, we discussed the coupling of this method with stimulated emission depletion FCS for performing FCS at subdiffraction spatial scales. The Biophysical Society 2019-03-19 2019-02-14 /pmc/articles/PMC6428914/ /pubmed/30819566 http://dx.doi.org/10.1016/j.bpj.2019.02.003 Text en © 2019 Biophysical Society. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Di Bona, Melody
Mancini, Michael A.
Mazza, Davide
Vicidomini, Giuseppe
Diaspro, Alberto
Lanzanò, Luca
Measuring Mobility in Chromatin by Intensity-Sorted FCS
title Measuring Mobility in Chromatin by Intensity-Sorted FCS
title_full Measuring Mobility in Chromatin by Intensity-Sorted FCS
title_fullStr Measuring Mobility in Chromatin by Intensity-Sorted FCS
title_full_unstemmed Measuring Mobility in Chromatin by Intensity-Sorted FCS
title_short Measuring Mobility in Chromatin by Intensity-Sorted FCS
title_sort measuring mobility in chromatin by intensity-sorted fcs
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428914/
https://www.ncbi.nlm.nih.gov/pubmed/30819566
http://dx.doi.org/10.1016/j.bpj.2019.02.003
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