Evidence map›Paper›PMID 16900099›Full record

ReviewThe EMBO journal2006

Gene expression within a dynamic nuclear landscape.

Yaron Shav-Tal, Xavier Darzacq, Robert H Singer

Abstract readReview
In one paragraph

Review in The EMBO journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Connecting the dots of RNA-directed DNA methylation in Arabidopsis thaliana.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2014
    Review
  3. Article
  4. Article
  5. The life of an mRNA in space and time.Journal of cell science · 2010
    Article
  6. Review
  7. Article
  8. Single-molecule dynamics of nuclear mRNA.F1000 biology reports · 2009
    Article
  9. Article
  10. How to build a paraspeckle.Genome biology · 2009
    Review
  11. Article
  12. Regulation of TATA-binding protein dynamics in living yeast cells.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  13. Review
  14. Article
  15. Intranuclear trafficking of episomal DNA is transcription-dependent.Molecular therapy : the journal of the American Society of Gene Therapy · 2007
    Article
  16. Article
  17. 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

3 authors.

Yaron Shav-TalThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel. shavtaly@mail.biu.ac.il
Xavier Darzacq
Robert H Singer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular imaging in living cells or organisms now allows us to observe macromolecular assemblies with a time resolution sufficient to address cause-and-effect relationships on specific molecules. These emerging technologies have gained much interest from the scientific community since they have been able to reveal novel concepts in cell biology, thereby changing our vision of the cell. One main paradigm is that cells stochastically vary, thus implying that population analysis may be misleading. In fact, cells should be analyzed within time-resolved single-cell experiments rather than being compared to other cells within a population. Technological imaging developments as well as the stochastic events present in gene expression have been reviewed. Here, we discuss how the structural organization of the nucleus is revealed using noninvasive single-cell approaches, which ultimately lead to the resolution required for the analysis of highly controlled molecular processes taking place within live cells. We also describe the efforts being made towards physiological approaches within the context of living organisms.

Indexed as

Gene Expression RegulationAnimalsCell NucleusChromosomesFungiHumansKineticsMicroscopy, FluorescenceRNARNA

Identifiers

PMID16900099
PMCPMC1538565

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.