Evidence map›Paper›PMID 21502409›Full record

ArticleCold Spring Harbor symposia on quantitative biology2010

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

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

Abstract read
In one paragraph

Article in Cold Spring Harbor symposia on quantitative biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Imaging Transcription: Past, Present, and Future.Cold Spring Harbor symposia on quantitative biology · 2015
    Review
  9. Review
  10. Measuring transcription dynamics in living cells using fluctuation analysis.Methods in molecular biology (Clifton, N.J.) · 2013
    Article
  11. Complexity of RNA polymerase II elongation dynamics.Biochimica et biophysica acta · 2012
    Review
  12. Transcription goes digital.EMBO reports · 2012
    Review
  13. What do expression dynamics tell us about the mechanism of transcription?Current opinion in genetics & development · 2011
    Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

T LionnetDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA.
B Wu
D Grünwald
R H Singer
D R Larson

Funding

Transcription Dynamics in Single CellsZIABC011383 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARSON, DANIEL · 2011 to 2025
$23.8M
RNA TRANSPORT AND LOCALIZATION IN YEAST IN SITUR01GM057071 · NIGMS · YESHIVA UNIVERSITY · PI SINGER, ROBERT H · 1998 to 2019
$5.7M
LIGHT-ACTIVATED GENE EXPRESSION IN SINGLE CELLS WITHIN TISSUER01GM086217 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SINGER, ROBERT H · 2008 to 2011
$2.9M
Howard Hughes Medical InstituteNIGMS NIH HHS GM57071NIGMS NIH HHS GM86217NIGMS NIH HHS R01 GM057071NIGMS NIH HHS R01 GM086217
6 · The paper itself

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.

Indexed as

Gene Expression RegulationBiophysical PhenomenaBiophysicsCell NucleusFluorescence Recovery After PhotobleachingGene DosageKineticsModels, BiologicalSaccharomyces cerevisiaeSpectrometry, Fluorescence

Identifiers

PMID21502409
PMCPMC3145213

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.