Evidence map›Paper›PMID 22118156›Full record

ArticleGenome biology2011

Hundreds of putatively functional small open reading frames in Drosophila.

Emmanuel Ladoukakis, Vini Pereira, Emile G Magny, Adam Eyre-Walker, Juan Pablo Couso

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
3.3field-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

98 citing papers in PubMed, 171 citations in OpenAlex.

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  18. Frontiers in cell and developmental biology · 2023
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38 more citing papers are in PubMed but not listed here.

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 1 institution in 2 countries.

Emmanuel LadoukakisSchool of Life Sciences, University of Sussex, Falmer, Brighton, UK.
Vini Pereira
Emile G Magny
Adam Eyre-Walker
Juan Pablo Couso
University of Sussex · GB

Funding

Wellcome Trust 087516
6 · The paper itself

Abstract

backgroundThe relationship between DNA sequence and encoded information is still an unsolved puzzle. The number of protein-coding genes in higher eukaryotes identified by genome projects is lower than was expected, while a considerable amount of putatively non-coding transcription has been detected. Functional small open reading frames (smORFs) are known to exist in several organisms. However, coding sequence detection methods are biased against detecting such very short open reading frames. Thus, a substantial number of non-canonical coding regions encoding short peptides might await characterization.

resultsUsing bio-informatics methods, we have searched for smORFs of less than 100 amino acids in the putatively non-coding euchromatic DNA of Drosophila melanogaster, and initially identified nearly 600,000 of them. We have studied the pattern of conservation of these smORFs as coding entities between D. melanogaster and Drosophila pseudoobscura, their presence in syntenic and in transcribed regions of the genome, and their ratio of conservative versus non-conservative nucleotide changes. For negative controls, we compared the results with those obtained using random short sequences, while a positive control was provided by smORFs validated by proteomics data.

conclusionsThe combination of these analyses led us to postulate the existence of at least 401 functional smORFs in Drosophila, with the possibility that as many as 4,561 such functional smORFs may exist.

Indexed as

Genome, InsectAlgorithmsAnimalsBase SequenceComputational BiologyConserved SequenceDNADrosophilaDrosophila melanogasterGenetic VariationMolecular Sequence DataOpen Reading FramesSyntenyDNA

Identifiers

PMID22118156
PMCPMC3334604
OpenAlexW2142699726

What OpenQuestion holds

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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.