Evidence map›Paper›PMID 22485013›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2012

Hidden treasures in unspliced EST data.

J Engelhardt, P F Stadler

Abstract read
PubMed Publisher
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Evolution of the unspliced transcriptome.BMC evolutionary biology · 2015
    Article
  2. Review
  3. 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

2 authors.

J EngelhardtBioinformatics Group, Department of Computer Science, and Interdisciplinary Center of Bioinformatics, University of Leipzig, Härtelstrasse 16-18, 04107 Leipzig, Germany.
P F Stadler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several classes of exclusively--or at least predominantly--unspliced non-coding RNAs have been described in the last years, including totally and partially intronic transcripts and long intergenic RNAs. Functionally, they appear to be involved in regulating gene expression, at least in part by associating with the chromatin. Intron-less transcripts have received little attention, even though recent findings indicate that intron-less protein-coding genes have several features that set them apart from the more abundant and much better understood spliced mRNAs. Even less is known about unspliced non-coding transcripts. Thus we systematically analyze the distribution of unspliced ESTs in the human genome. These form a large source of transcriptomic data that is almost always excluded from detailed studies. Most unspliced ESTs appear in clusters overlapping, or located in the close vicinity of, annotated RefSeq genes. Partially intronic unspliced ESTs show complex patterns of overlap with the intron/exon structure of the RefSeq gene. Distinctive patterns of CAGE tags indicate that a large class of unspliced EST clusters is forming long extensions of 3'UTRs, at least several hundreds of which probably appear also as independent 3'UTR-associated RNAs.

Indexed as

Expressed Sequence Tags3' Untranslated RegionsAnimalsBase SequenceComputational BiologyGenome, HumanHumansIntronsMiceModels, BiologicalModels, GeneticMolecular Sequence DataMultigene FamilyNucleic Acid ConformationNucleotidesRNA, Messenger3' Untranslated RegionsNucleotidesRNA, MessengerRNA, Untranslated

Identifiers

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.