Evidence map›Paper›PMID 29615657›Full record

ArticleScientific reports2018

Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks.

Jun-Mo Kim, Jong-Eun Park, Inkyu Yoo, Jisoo Han, Namshin Kim, Won-Jun Lim, Eun-Seok Cho, Bonghwan Choi, Sunho Choi, Tae-Hun Kim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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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

13 authors at 4 institutions in 2 countries.

Jun-Mo KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.ORCID 0000-0002-6934-398X
Jong-Eun ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
Inkyu YooDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.
Jisoo HanDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea.
Namshin KimPersonalized Genomic Medicine Research Center Genome Institute, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Won-Jun LimPersonalized Genomic Medicine Research Center Genome Institute, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Eun-Seok ChoAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
Bonghwan ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
Sunho ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
Tae-Hun KimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
Marinus F W Te PasDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.ORCID 0000-0001-8849-3011
Hakhyun KaDivision of Biological Science and Technology, Yonsei University, Wonju, 26493, Republic of Korea. hka@yonsei.ac.
Kyung-Tai LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea. krleekt@korea.kr.ORCID 0000-0003-0990-4818
Rural Development Administration · KRYonsei University · KRChung-Ang University · KRKorea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Female fertility is a highly regulated process involving the synchronized activities of multiple tissues. The underlying genomic regulation of the tissue synchronization is poorly understood. To understand this better we investigated the transcriptomes of the porcine ovary, endometrium, and oviduct at days 0, 3, 6, 9, 12, 15, or 18 of the oestrous cycle. We analysed the transcriptome profiles of the individual tissues and focus on the bridging genes shared by two or more tissues. The three tissue-networks were connected forming a triangular shape. We identified 65 bridging genes with a high level of connectivity to all other genes in the network. The expression levels showed negative correlations between the ovary and the other two tissues, and low correlations between endometrium and oviduct. The main functional annotations involved biosynthesis of steroid hormones, cell-to-cell adhesion, and cell apoptosis, suggesting that regulation of steroid hormone synthesis and tissue viability are major regulatory mechanisms.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAnimalsEicosanoidsEndometriumEstrous CycleFemaleOrgan SpecificityOvaryOviductsReproductionSteroidsSwineEicosanoidsSteroids

Identifiers

PMID29615657
PMCPMC5882957
OpenAlexW2803477872

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.