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

T. Lionnet, B. Wu, D. Grünwald, Robert H. Singer, D. R. Larson

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)113-126
Number of pages14
JournalCold Spring Harbor Symposia on Quantitative Biology
Volume75
DOIs
StatePublished - 2010

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Nuclear Physics
Nuclear physics
Cell Nucleus Active Transport
Transcription
Gene expression
RNA
Gene Expression
Kinetics
Processing

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Biochemistry

Cite this

Nuclear physics : Quantitative single-cell approaches to nuclear organization and gene expression. / Lionnet, T.; Wu, B.; Grünwald, D.; Singer, Robert H.; Larson, D. R.

In: Cold Spring Harbor Symposia on Quantitative Biology, Vol. 75, 2010, p. 113-126.

Research output: Contribution to journalArticle

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