Evidence map›Paper›PMID 25790166›Full record

ArticlePloS one2015

The transcriptome of equine peripheral blood mononuclear cells.

Alicja Pacholewska, Michaela Drögemüller, Jolanta Klukowska-Rötzler, Simone Lanz, Eman Hamza, Emmanouil T Dermitzakis, Eliane Marti, Vincent Gerber, Tosso Leeb, Vidhya Jagannathan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Alicja PacholewskaSwiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Michaela DrögemüllerInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Jolanta Klukowska-RötzlerSwiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland; Division of Pediatric Hematology/Oncology, Department of Pediatrics, Bern University Hospital, Bern, Switzerland.
Simone LanzSwiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland.
Eman HamzaClinical Immunology Group, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, Switzerland.
Emmanouil T DermitzakisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva, Swiss Institute of Bioinformatics, Geneva, Switzerland.
Eliane MartiClinical Immunology Group, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, Switzerland.
Vincent GerberSwiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland.
Tosso LeebInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Vidhya JagannathanInstitute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
University of Bern · CHAgroscope · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete transcriptomic data at high resolution are available only for a few model organisms with medical importance. The gene structures of non-model organisms are mostly computationally predicted based on comparative genomics with other species. As a result, more than half of the horse gene models are known only by projection. Experimental data supporting these gene models are scarce. Moreover, most of the annotated equine genes are single-transcript genes. Utilizing RNA sequencing (RNA-seq) the experimental validation of predicted transcriptomes has become accessible at reasonable costs. To improve the horse genome annotation we performed RNA-seq on 561 samples of peripheral blood mononuclear cells (PBMCs) derived from 85 Warmblood horses. The mapped sequencing reads were used to build a new transcriptome assembly. The new assembly revealed many alternative isoforms associated to known genes or to those predicted by the Ensembl and/or Gnomon pipelines. We also identified 7,531 transcripts not associated with any horse gene annotated in public databases. Of these, 3,280 transcripts did not have a homologous match to any sequence deposited in the NCBI EST database suggesting horse specificity. The unknown transcripts were categorized as coding and noncoding based on predicted coding potential scores. Among them 230 transcripts had high coding potential score, at least 2 exons, and an open reading frame of at least 300 nt. We experimentally validated 9 new equine coding transcripts using RT-PCR and Sanger sequencing. Our results provide valuable detailed information on many transcripts yet to be annotated in the horse genome.

Indexed as

Gene Expression ProfilingAnimalsChromosome MappingFemaleHorsesLeukocytes, MononuclearMaleMolecular Sequence AnnotationRNA, MessengerSequence Analysis, RNARNA, Messenger

Identifiers

PMID25790166
PMCPMC4366165
OpenAlexW1986390832

What OpenQuestion holds

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LicenceCC BY
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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.