Evidence map›Paper›PMID 33050948›Full record

ArticleVeterinary research2020

Integrated time-serial transcriptome networks reveal common innate and tissue-specific adaptive immune responses to PRRSV infection.

Byeonghwi Lim, Sangwook Kim, Kyu-Sang Lim, Chang-Gi Jeong, Seung-Chai Kim, Sang-Myeong Lee, Choi-Kyu Park, Marinus F W Te Pas, Haesu Gho, Tae-Hun Kim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. The Antiviral Effect ofInternational journal of molecular sciences · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 8 institutions in 3 countries.

Byeonghwi LimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.
Sangwook KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.
Kyu-Sang LimDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Chang-Gi JeongCollege of Veterinary Medicine, Jeonbuk National University, Iksan, Jeollabuk-do, 54596, Republic of Korea.
Seung-Chai KimCollege of Veterinary Medicine, Jeonbuk National University, Iksan, Jeollabuk-do, 54596, Republic of Korea.
Sang-Myeong LeeCollege of Veterinary Medicine, Chungbuk National University, Cheongju, Chungcheongbuk-do, 28644, Republic of Korea.
Choi-Kyu ParkCollege of Veterinary Medicine & Animal Disease Intervention Center, Kyungpook National University, Daegu, 41566, Republic of Korea.
Marinus F W Te PasWageningen UR Livestock Research, Wageningen, The Netherlands.
Haesu GhoAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea.
Tae-Hun KimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea.
Kyung-Tai LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea. leekt@korea.kr.
Won-Il KimCollege of Veterinary Medicine, Jeonbuk National University, Iksan, Jeollabuk-do, 54596, Republic of Korea. kwi0621@jbnu.ac.kr.
Jun-Mo KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea. junmokim@cau.ac.kr.ORCID http://orcid.org/0000-0002-6934-398X
Chung-Ang University · KRNational Institute of Animal Science · KRChungbuk National University · KRIowa State University · USJeonbuk National University · KRJeonju National University of Education · KRKyungpook National University · KRWageningen University & Research · NL

Funding

National Research Foundation of Korea NRF-2018R1A6A1A03025159Next-Generation Biogreen 21 program, Rural Development Administration of Korea PJ01181602
6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) infection is the most important viral disease causing severe economic losses in the swine industry. However, mechanisms underlying gene expression control in immunity-responsible tissues at different time points during PRRSV infection are poorly understood. We constructed an integrated gene co-expression network and identified tissue- and time-dependent biological mechanisms of PRRSV infection through bioinformatics analysis using three tissues (lungs, bronchial lymph nodes [BLNs], and tonsils) via RNA-Seq. Three groups with specific expression patterns (i.e., the 3-dpi, lung, and BLN groups) were discovered. The 3 dpi-specific group showed antiviral and innate-immune signalling similar to the case for influenza A infection. Moreover, we observed adaptive immune responses in the lung-specific group based on various cytokines, while the BLN-specific group showed down-regulated AMPK signalling related to viral replication. Our study may provide comprehensive insights into PRRSV infection, as well as useful information for vaccine development.

Indexed as

Adaptive ImmunityAnimalsImmunity, InnatePorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSus scrofaSwineTranscriptomeadaptive immunitygene co-expression networkinnate immunityintegrated transcriptomesporcine reproductive and respiratory syndrome virus

Identifiers

PMID33050948
PMCPMC7552595
OpenAlexW3092152835

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.