Title

Nuclear physics: quantitative single-cell approaches to nuclear organization and gene expression

UMMS Affiliation

Department of Biochemistry and Molecular Pharmacology; RNA Therapeutics Institute

Publication Date

2011-04-20

Document Type

Article

Subjects

Biophysical Phenomena; Biophysics; Cell Nucleus; Fluorescence Recovery After Photobleaching; Gene Dosage; *Gene Expression Regulation; Kinetics; Models, Biological; Saccharomyces cerevisiae; Spectrometry, Fluorescence

Disciplines

Biochemistry | Biochemistry, Biophysics, and Structural Biology | Biophysics | Cell Biology | Molecular Biology

Abstract

The internal workings of the nucleus remain a mystery. A list of component parts exists, and in many cases their functional roles are known for events such as transcription, RNA processing, or nuclear export. Some of these components exhibit structural features in the nucleus, regions of concentration or bodies that have given rise to the concept of functional compartmentalization--that there are underlying organizational principles to be described. In contrast, a picture is emerging in which transcription appears to drive the assembly of the functional components required for gene expression, drawing from pools of excess factors. Unifying this seemingly dual nature requires a more rigorous approach, one in which components are tracked in time and space and correlated with onset of specific nuclear functions. In this chapter, we anticipate tools that will address these questions and provide the missing kinetics of nuclear function. These tools are based on analyzing the fluctuations inherent in the weak signals of endogenous nuclear processes and determining values for them. In this way, it will be possible eventually to provide a computational model describing the functional relationships of essential components.

DOI of Published Version

10.1101/sqb.2010.75.057

Source

Lionnet T, Wu B, Grünwald D, Singer RH, Larson DR. Nuclear physics: quantitative single-cell approaches to nuclear organization and gene expression. Cold Spring Harb Symp Quant Biol. 2010;75:113-26. doi: 10.1101/sqb.2010.75.057. Link to article on publisher's site

Journal/Book/Conference Title

Cold Spring Harbor symposia on quantitative biology

Comments

At the time of publication, David Grünwald was not yet affiliated with the University of Massachusetts Medical School.

Related Resources

Link to Article in PubMed

PubMed ID

21502409

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