Evidence map›Paper›PMID 34714446›Full record

ArticleMarine biotechnology (New York, N.Y.)2021

Investigating the Transcriptomic and Expression Presence-Absence Variation Exist in Japanese Eel (Anguilla japonica), a Primitive Teleost.

Yung-Sen Huang, Chung-Yen Lin, Wen-Chih Cheng

Abstract read
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Yung-Sen Huang *Department of Life Science, National University of Kaohsiung, Kaohsiung University Road, Nan Tzu Dist, No.700, 811, Kaohsiung, Taiwan. yshuang@nuk.edu.tw.ORCID http://orcid.org/0000-0001-9922-3914
Chung-Yen Lin *Institute of Information Science, Academia Sinica, Nankang Dist, No. 128 Academia Road, section 2, 115, Taipei, Taiwan.
Wen-Chih ChengInstitute of Information Science, Academia Sinica, Nankang Dist, No. 128 Academia Road, section 2, 115, Taipei, Taiwan.
Institute of Information Science, Academia Sinica · TWNational University of Kaohsiung · TW

Funding

ministry of science and technology, taiwan MOST107-2321-B002-057
6 · The paper itself

Abstract

The pan-genome was defined as the complete gene set across strains, and it is built upon genes displaying presence-absence variations (PAVs); the pan-transcriptome is defined by recalling the pan-genome. Indeed, a PAV is reflected from the expression presence-absence variation (ePAV). In this study, treated with androgen, eels, which are a primitive fish from the basal lineage of Teleost, with different ovarian developments were chosen and submitted to RAN-sequencing. Transcriptomes were the assembly against eel genome scaffolds; a pair was the unit (the same eel before and after treatment) to analyze DEGs (differentially expressed genes); the core, unique, or accessory genes were identified, and the list of DEGs was analyzed to investigate ePAV. The results suggest that there was ePAV in Japanese eel, and the ePAV of eel was analyzed by pathway enrichment. These results signify the importance of genetic differential expression on the variations of phenotypes by androgen, and a transcriptomic approach appears to enable extracting multiple layers of genomic data.

Indexed as

AnguillaAndrogensAnimalsGenomeGenomicsTranscriptomeAndrogensAndrogenExpression presence-absence variationJapanese eelKEGG pathwayOvaryTranscriptome

Identifiers

PMID34714446
OpenAlexW3208411011

What OpenQuestion holds

Textmetadata
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.