Evidence map›Paper›PMID 32245514›Full record

ArticleParasites & vectors2020

Genome-wide analysis of differentially expressed profiles of mRNAs, lncRNAs and circRNAs in chickens during Eimeria necatrix infection.

Xian-Cheng Fan, Ting-Li Liu, Yi Wang, Xue-Mei Wu, Yu-Xin Wang, Peng Lai, Jun-Ke Song, Guang-Hui Zhao

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
14.7field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 51 citations in OpenAlex.

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  11. Functional Intricacy and Symmetry of Long Non-Coding RNAs in Parasitic Infections.Frontiers in cellular and infection microbiology · 2021
    Review
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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

8 authors at 2 institutions in 1 country.

Xian-Cheng FanDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Ting-Li LiuDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Yi WangDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Xue-Mei WuDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Yu-Xin WangDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Peng LaiDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Jun-Ke SongDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
Guang-Hui ZhaoDepartment of Parasitology, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China. zgh083@nwsuaf.edu.cn.
Northwest A&F University · CNLanzhou Veterinary Research Institute · CN

Funding

National Key Research and Development Program of China 2017YFD0501200
6 · The paper itself

Abstract

backgroundEimeria necatrix, the most highly pathogenic coccidian in chicken small intestines, can cause high morbidity and mortality in susceptible birds and devastating economic losses in poultry production, but the underlying molecular mechanisms in interaction between chicken and E. necatrix are not entirely revealed. Accumulating evidence shows that the long-non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) are key regulators in various infectious diseases. However, the expression profiles and roles of these two non-coding RNAs (ncRNAs) during E. necatrix infection are still unclear.

methodsThe expression profiles of mRNAs, lncRNAs and circRNAs in mid-segments of chicken small intestines at 108 h post-infection (pi) with E. necatrix were analyzed by using the RNA-seq technique.

resultsAfter strict filtering of raw data, we putatively identified 49,183 mRNAs, 818 lncRNAs and 4153 circRNAs. The obtained lncRNAs were classified into four types, including 228 (27.87%) intergenic, 67 (8.19%) intronic, 166 (20.29%) anti-sense and 357 (43.64%) sense-overlapping lncRNAs; of these, 571 were found to be novel. Five types were also predicted for putative circRNAs, including 180 exonic, 54 intronic, 113 antisense, 109 intergenic and 3697 sense-overlapping circRNAs. Eimeria necatrix infection significantly altered the expression of 1543 mRNAs (707 upregulated and 836 downregulated), 95 lncRNAs (49 upregulated and 46 downregulated) and 13 circRNAs (9 upregulated and 4 downregulated). Target predictions revealed that 38 aberrantly expressed lncRNAs would cis-regulate 73 mRNAs, and 1453 mRNAs could be trans-regulated by 87 differentially regulated lncRNAs. Additionally, 109 potential sponging miRNAs were also identified for 9 circRNAs. GO and KEGG enrichment analysis of target mRNAs for lncRNAs, and sponging miRNA targets and source genes for circRNAs identified associations of both lncRNAs and circRNAs with host immune defense and pathogenesis during E. necatrix infection.

conclusionsTo the best of our knowledge, the present study provides the first genome-wide analysis of mRNAs, lncRNAs and circRNAs in chicken small intestines infected with E. necatrix. The obtained data will offer novel clues for exploring the interaction mechanisms between chickens and Eimeria spp.

Indexed as

AnimalsChickensCoccidiosisDown-RegulationEimeriaGene Expression ProfilingRNA, CircularRNA, Long NoncodingRNA, MessengerRNA-SeqSpecific Pathogen-Free OrganismsUp-RegulationRNA, CircularRNA, Long NoncodingRNA, MessengerChicken small intestinecircRNAsEimeria necatrixExpression profilelncRNAsmRNAs

Identifiers

PMID32245514
PMCPMC7118956
OpenAlexW3014518826

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.