Evidence map›Paper›PMID 25816068›Full record

ArticlePloS one2015

De novo transcriptomic analysis of peripheral blood lymphocytes from the Chinese goose: gene discovery and immune system pathway description.

Mansoor Tariq, Rong Chen, Hongyu Yuan, Yanjie Liu, Yanan Wu, Junya Wang, Chun Xia

Open 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. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  7. C1q: A fresh look upon an old molecule.Molecular immunology · 2017
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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

7 authors at 2 institutions in 2 countries.

Mansoor TariqDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China; Department of Veterinary Pathology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tando Jam, Sindh, Pakistan.
Rong ChenDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China.
Hongyu YuanDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China.
Yanjie LiuDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China.
Yanan WuDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China.
Junya WangDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China.
Chun XiaDepartment of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Beijing, The People's Republic of China; Key Laboratory Zoonosis of Ministry of Agriculture of China, Beijing, The People's Republic of China.
China Agricultural University · CNSindh Agriculture University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Chinese goose is one of the most economically important poultry birds and is a natural reservoir for many avian viruses. However, the nature and regulation of the innate and adaptive immune systems of this waterfowl species are not completely understood due to limited information on the goose genome. Recently, transcriptome sequencing technology was applied in the genomic studies focused on novel gene discovery. Thus, this study described the transcriptome of the goose peripheral blood lymphocytes to identify immunity relevant genes. PRINCIPAL

findingsDe novo transcriptome assembly of the goose peripheral blood lymphocytes was sequenced by Illumina-Solexa technology. In total, 211,198 unigenes were assembled from the 69.36 million cleaned reads. The average length, N50 size and the maximum length of the assembled unigenes were 687 bp, 1,298 bp and 18,992 bp, respectively. A total of 36,854 unigenes showed similarity by BLAST search against the NCBI non-redundant (Nr) protein database. For functional classification, 163,161 unigenes were comprised of three Gene Ontology (Go) categories and 67 subcategories. A total of 15,334 unigenes were annotated into 25 eukaryotic orthologous groups (KOGs) categories. Kyoto Encyclopedia of Genes and Genomes (KEGG) database annotated 39,585 unigenes into six biological functional groups and 308 pathways. Among the 2,757 unigenes that participated in the 15 immune system KEGG pathways, 125 of the most important immune relevant genes were summarized and analyzed by STRING analysis to identify gene interactions and relationships. Moreover, 10 genes were confirmed by PCR and analyzed. Of these 125 unigenes, 109 unigenes, approximately 87%, were not previously identified in the goose.

conclusionThis de novo transcriptome analysis could provide important Chinese goose sequence information and highlights the value of new gene discovery, pathways investigation and immune system gene identification, and comparison with other avian species as useful tools to understand the goose immune system.

Indexed as

ImmunityAnimalsChinaGeeseGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingLymphocytesRNA, MessengerSequence Analysis, DNARNA, Messenger

Identifiers

PMID25816068
PMCPMC4376690
OpenAlexW2045956248

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.