Evidence map›Paper›PMID 28676104›Full record

ArticleBMC genomics2017

Identification of long non-coding RNA in the horse transcriptome.

E Y Scott, T Mansour, R R Bellone, C T Brown, M J Mienaltowski, M C Penedo, P J Ross, S J Valberg, J D Murray, C J Finno

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. DNA Methylation ofBiology · 2025
    Article
  2. Article
  3. Article
  4. LncRNAs in domesticated animals: from dog to livestock species.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Comparison of Poly-ANon-coding RNA · 2020
    Article
  9. Article
  10. miRNAs and lncRNAs inInternational journal of molecular sciences · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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 3 institutions in 2 countries.

E Y ScottDepartment of Animal Science, University of California, Davis, USA.
T MansourDepartment of Population Health and Reproduction, University of California, Davis, USA.
R R BelloneDepartment of Population Health and Reproduction, University of California, Davis, USA.
C T BrownDepartment of Population Health and Reproduction, University of California, Davis, USA.
M J MienaltowskiDepartment of Animal Science, University of California, Davis, USA.
M C PenedoVeterinary Genetics Laboratory, University of California, Davis, USA.
P J RossDepartment of Animal Science, University of California, Davis, USA.
S J ValbergLarge Animal Clinical Sciences, Michigan State University, College of Veterinary Medicine, East Lansing, USA.
J D MurrayDepartment of Animal Science, University of California, Davis, USA.
C J FinnoDepartment of Population Health and Reproduction, University of California, Davis, USA. cjfinno@ucdavis.edu.
University of California, Davis · USMansoura University · EGMichigan State University · US

Funding

Molecular pathogenesis of alpha-tocopherol associated neuroaxonal dystrophy in anK01OD015134 · OD · UNIVERSITY OF MINNESOTA · PI FINNO, CARRIE · 2013 to 2017
$599k
NCATS NIH HHS L40 TR001136NIH HHS K01 OD015134
6 · The paper itself

Abstract

backgroundEfforts to resolve the transcribed sequences in the equine genome have focused on protein-coding RNA. The transcription of the intergenic regions, although detected via total RNA sequencing (RNA-seq), has yet to be characterized in the horse. The most recent equine transcriptome based on RNA-seq from several tissues was a prime opportunity to obtain a concurrent long non-coding RNA (lncRNA) database.

resultsThis lncRNA database has a breadth of eight tissues and a depth of over 20 million reads for select tissues, providing the deepest and most expansive equine lncRNA database. Utilizing the intergenic reads and three categories of novel genes from a previously published equine transcriptome pipeline, we better describe these groups by annotating the lncRNA candidates. These lncRNA candidates were filtered using an approach adapted from human lncRNA annotation, which removes transcripts based on size, expression, protein-coding capability and distance to the start or stop of annotated protein-coding transcripts.

conclusionOur equine lncRNA database has 20,800 transcripts that demonstrate characteristics unique to lncRNA including low expression, low exon diversity and low levels of sequence conservation. These candidate lncRNA will serve as a baseline lncRNA annotation and begin to describe the RNA-seq reads assigned to the intergenic space in the horse.

Indexed as

TranscriptomeAnimalsDatabases, GeneticGene Expression ProfilingHorsesOrgan SpecificityRNA, Long NoncodingSequence Analysis, RNARNA, Long NoncodingEquine transcriptomeIntergenicLong non-coding RNA

Identifiers

PMID28676104
PMCPMC5496257
OpenAlexW2724722920

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.