Evidence map›Paper›PMID 22045738›Full record

ArticleJournal of cell science2011

Ultrastructural study of transcription factories in mouse erythroblasts.

Christopher H Eskiw, Peter Fraser

Open access · greenAbstract read
In one paragraph

Article in Journal of cell science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

25 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  9. Cajal body function in genome organization and transcriptome diversity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016
    Review
  10. Spatially coordinated replication and minimization of expression noise constrain three-dimensional organization of yeast genome.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  11. Morphology of nuclear transcription.Histochemistry and cell biology · 2016
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Review
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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

2 authors at 1 institution in 1 country.

Christopher H EskiwNuclear Dynamics Laboratory, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK. Christopher.Eskiw@brunel.ac.uk
Peter Fraser
Babraham Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/E017460/1Biotechnology and Biological Sciences Research Council BBS/E/B/0000C151Medical Research Council G117/530
6 · The paper itself

Abstract

RNA polymerase II (RNAPII) transcription has been proposed to occur at transcription factories; nuclear focal accumulations of the active, phosphorylated forms of RNAPII. The low ratio of transcription factories to active genes and transcription units suggests that genes must share factories. Our previous analyses using light microscopy have indicated that multiple genes could share the same factory. Furthermore, we found that a small number of specialized transcription factories containing high levels of the erythroid-specific transcription factor KLF1 preferentially transcribed a network of KLF1-regulated genes. Here we used correlative light microscopy in combination with energy filtering transmission electron microscopy (EFTEM) and electron microscopy in situ hybridization (EMISH) to analyse transcription factories, transcribing genes, and their nuclear environments at the ultrastructural level in ex vivo mouse foetal liver erythroblasts. We show that transcription factories in this tissue can be recognized as large nitrogen-rich structures with a mean diameter of 130 nm, which is considerably larger than that previously seen in transformed cultured cell lines. We show that KLF1-specialized factories are significantly larger, with the majority of measured factories occupying the upper 25th percentile of this distribution with an average diameter of 174 nm. In addition, we show that very highly transcribed genes associated with erythroid differentiation tend to occupy and share the largest factories with an average diameter of 198 nm. Our results suggest that individual factories are dynamically organized and able to respond to the increased transcriptional load imposed by multiple highly transcribed genes by significantly increasing in size.

Indexed as

Transcription, GeneticAnimalsCell NucleusErythroblastsMiceMicroscopy, ElectronRNA Polymerase IITranscription FactorsRNA Polymerase IITranscription Factors

Identifiers

PMID22045738
PMCPMC3215576
OpenAlexW2145645515

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.