Evidence map›Paper›PMID 23110385›Full record

ArticleBMC genomics2012

Comparison of total and cytoplasmic mRNA reveals global regulation by nuclear retention and miRNAs.

Beata Werne Solnestam, Henrik Stranneheim, Jimmie Hällman, Max Käller, Emma Lundberg, Joakim Lundeberg, Pelin Akan

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2012. 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
–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

25 citing papers in PubMed.

  1. Article
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  5. Review
  6. Widespread post-transcriptional regulation of co-transmission.bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Review
  9. Article
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  11. Article
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  14. Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Beata Werne SolnestamKTH Royal Institute of Technology, Science for Life Laboratory (SciLifeLab Stockholm), School of Biotechnology, Division of Gene Technology, SE-171 65, Solna, Sweden.
Henrik Stranneheim
Jimmie Hällman
Max Käller
Emma Lundberg
Joakim Lundeberg
Pelin Akan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of published gene-expression studies have used RNA isolated from whole cells, overlooking the potential impact of including nuclear transcriptome in the analyses. In this study, mRNA fractions from the cytoplasm and from whole cells (total RNA) were prepared from three human cell lines and sequenced using massive parallel sequencing.

resultsFor all three cell lines, of about 15000 detected genes approximately 400 to 1400 genes were detected in different amounts in the cytoplasmic and total RNA fractions. Transcripts detected at higher levels in the total RNA fraction had longer coding sequences and higher number of miRNA target sites. Transcripts detected at higher levels in the cytoplasmic fraction were shorter or contained shorter untranslated regions. Nuclear retention of transcripts and mRNA degradation via miRNA pathway might contribute to this differential detection of genes. The consequence of the differential detection was further investigated by comparison to proteomics data. Interestingly, the expression profiles of cytoplasmic and total RNA correlated equally well with protein abundance levels indicating regulation at a higher level.

conclusionsWe conclude that expression levels derived from the total RNA fraction be regarded as an appropriate estimate of the amount of mRNAs present in a given cell population, independent of the coding sequence length or UTRs.

Indexed as

Cell Line, TumorCell NucleusCytoplasmGene Expression RegulationHumansMicroRNAsRNA, MessengerSequence Analysis, RNAMicroRNAsRNA, Messenger

Identifiers

PMID23110385
PMCPMC3495644

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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.