Evidence map›Paper›PMID 23209567›Full record

ArticlePloS one2012

Nuclear RNA sequencing of the mouse erythroid cell transcriptome.

Jennifer A Mitchell, Ieuan Clay, David Umlauf, Chih-Yu Chen, Catherine A Moir, Christopher H Eskiw, Stefan Schoenfelder, Lyubomira Chakalova, Takashi Nagano, Peter Fraser

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Chromatin Conformation in Development and Disease.Frontiers in cell and developmental biology · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Human and murine erythropoiesis.Current opinion in hematology · 2015
    Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 2 institutions in 2 countries.

Jennifer A MitchellDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada. ja.mitchell@utoronto.ca
Ieuan Clay
David Umlauf
Chih-Yu Chen
Catherine A Moir
Christopher H Eskiw
Stefan Schoenfelder
Lyubomira Chakalova
Takashi Nagano
Peter Fraser
Babraham Institute · GBUniversity of Toronto · CA

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0800036
6 · The paper itself

Abstract

In addition to protein coding genes a substantial proportion of mammalian genomes are transcribed. However, most transcriptome studies investigate steady-state mRNA levels, ignoring a considerable fraction of the transcribed genome. In addition, steady-state mRNA levels are influenced by both transcriptional and posttranscriptional mechanisms, and thus do not provide a clear picture of transcriptional output. Here, using deep sequencing of nuclear RNAs (nucRNA-Seq) in parallel with chromatin immunoprecipitation sequencing (ChIP-Seq) of active RNA polymerase II, we compared the nuclear transcriptome of mouse anemic spleen erythroid cells with polymerase occupancy on a genome-wide scale. We demonstrate that unspliced transcripts quantified by nucRNA-seq correlate with primary transcript frequencies measured by RNA FISH, but differ from steady-state mRNA levels measured by poly(A)-enriched RNA-seq. Highly expressed protein coding genes showed good correlation between RNAPII occupancy and transcriptional output; however, genome-wide we observed a poor correlation between transcriptional output and RNAPII association. This poor correlation is due to intergenic regions associated with RNAPII which correspond with transcription factor bound regulatory regions and a group of stable, nuclear-retained long non-coding transcripts. In conclusion, sequencing the nuclear transcriptome provides an opportunity to investigate the transcriptional landscape in a given cell type through quantification of unspliced primary transcripts and the identification of nuclear-retained long non-coding RNAs.

Indexed as

TranscriptomeAnimalsChromatin ImmunoprecipitationErythroid CellsGene Expression RegulationGene LibraryHigh-Throughput Nucleotide SequencingMiceProtein BindingRegulatory Sequences, Nucleic AcidReproducibility of ResultsRNA, Long NoncodingRNA, NuclearRNA Polymerase IISequence Analysis, RNATranscription, GeneticRNA, Long NoncodingRNA, NuclearRNA Polymerase II

Identifiers

PMID23209567
PMCPMC3510205
OpenAlexW2117974500

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.