Evidence map›Paper›PMID 28819105›Full record

ArticleScientific reports2017

A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3' end enriched RNA-seq.

Jie Li, Liangliang He, Yun Zhang, Chunyi Xue, Yongchang Cao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Review
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 1 country.

Jie LiState Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China.
Liangliang HeState Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yun ZhangState Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China.
Chunyi XueState Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yongchang CaoState Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, College of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China. caoych@mail.sysu.edu.cn.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marek's disease is a contagious lymphoproliferative disease of chickens and typical model of viral oncogenesis. Mapping changes or different states over the course of infection for both host and pathogen would provide important insights into dynamic host-pathogen interactions. Here we introduced 3' end enriched RNA-seq as a novel method to study host-pathogen interactions in chicken embryo fibroblasts cells challenged with Marek's disease virus. The method allowed accurate profiling of gene expression and alternative polyadenylation sites for host and pathogen simultaneously. We totally identified 476 differentially expressed genes and 437 APA switching genes in host, including switching in tandem 3' UTRs and switching between coding region and 3' UTR. Most of these genes were related to innate immunity, apoptosis and metabolism, but two sets of genes overlapped a little, suggesting two complementary mechanisms in gene regulation during MDV infection. In summary, our results provided a relatively comprehensive insight into dynamic host-pathogen interactions in regulation of gene transcription during infection of Marek's disease virus and suggested that 3' end enriched RNA-seq was a promising method to investigate global host-pathogen interactions.

Indexed as

3' Untranslated RegionsGene Expression ProfilingTranscriptomeAnimalsGene Expression RegulationHerpesvirus 2, GallidHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsMarek DiseaseOpen Reading FramesPoly ARegulatory Sequences, Ribonucleic AcidRNA, ViralSequence Analysis, RNA3' Untranslated RegionsPoly ARegulatory Sequences, Ribonucleic AcidRNA, Viral

Identifiers

PMID28819105
PMCPMC5561256
OpenAlexW2744626321

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.