Evidence map›Paper›PMID 24824035›Full record

ArticlePloS one2014

Drosophila 3' UTRs are more complex than protein-coding sequences.

Manjula Algama, Christopher Oldmeadow, Edward Tasker, Kerrie Mengersen, Jonathan M Keith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Investigating genomic structure using changept: A Bayesian segmentation model.Computational and structural biotechnology journal · 2014
    Review
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

5 authors at 3 institutions in 1 country.

Manjula AlgamaSchool of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Christopher OldmeadowSchool of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia.
Edward TaskerSchool of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Kerrie MengersenSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Jonathan M KeithSchool of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Monash University · AUQueensland University of Technology · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3' UTRs of eukaryotic genes participate in a variety of post-transcriptional (and some transcriptional) regulatory interactions. Some of these interactions are well characterised, but an undetermined number remain to be discovered. While some regulatory sequences in 3' UTRs may be conserved over long evolutionary time scales, others may have only ephemeral functional significance as regulatory profiles respond to changing selective pressures. Here we propose a sensitive segmentation methodology for investigating patterns of composition and conservation in 3' UTRs based on comparison of closely related species. We describe encodings of pairwise and three-way alignments integrating information about conservation, GC content and transition/transversion ratios and apply the method to three closely related Drosophila species: D. melanogaster, D. simulans and D. yakuba. Incorporating multiple data types greatly increased the number of segment classes identified compared to similar methods based on conservation or GC content alone. We propose that the number of segments and number of types of segment identified by the method can be used as proxies for functional complexity. Our main finding is that the number of segments and segment classes identified in 3' UTRs is greater than in the same length of protein-coding sequence, suggesting greater functional complexity in 3' UTRs. There is thus a need for sustained and extensive efforts by bioinformaticians to delineate functional elements in this important genomic fraction. C code, data and results are available upon request.

Indexed as

Genetic VariationModels, Genetic3' Untranslated RegionsAnimalsBase SequenceComputational BiologyDrosophilaMolecular Sequence DataOpen Reading FramesSpecies Specificity3' Untranslated Regions

Identifiers

PMID24824035
PMCPMC4019593
OpenAlexW2045128688

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.