Evidence map›Paper›PMID 35637716›Full record

ArticlePeerJ2022

Integrative analysis of transcriptome complexity in pig granulosa cells by long-read isoform sequencing.

Shuxin Li, Jiarui Wang, Jiale Li, Meihong Yue, Chuncheng Liu, Libing Ma, Ying Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Shuxin LiSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Jiarui WangSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Jiale LiSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Meihong YueSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Chuncheng LiuSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Libing MaSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Ying LiuSchool of Life Science and Technology, Inner Mongolia University of Science & Technology, Baotou, Inner Mongolia, China.
Inner Mongolia University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In intensive and large-scale farms, abnormal estradiol levels in sows can cause reproductive disorders. The high incidence rate of reproductive disturbance will induce the elimination of productive sows in large quantities, and the poor management will bring great losses to the pig farms. The change in estradiol level has an important effect on follicular development and estrus of sows. To solve this practical problem and improve the productive capacity of sows, it is significant to further clarify the regulatory mechanism of estradiol synthesis in porcine granulosa cells (GCs). The most important function of granulosa cells is to synthesize estradiol. Thus, the studies about the complex transcriptome in porcine GCs are significant. As for precursor-messenger RNAs (pre-mRNAs), their post-transcriptional modification, such as alternative polyadenylation (APA) and alternative splicing (AS), together with long non-coding RNAs (lncRNAs), may regulate the functions of granulosa cells. However, the above modification events and their function are unclear within pig granulosa cells. Methods: Combined PacBio long-read isoform sequencing (Iso-Seq) was conducted in this work for generating porcine granulosa cells' transcriptomic data. We discovered new transcripts and possible gene loci via comparison against reference genome. Later, combined Iso-Seq data were adopted to uncover those post-transcriptional modifications such as APA or AS, together with lncRNA within porcine granulosa cells. For confirming that the Iso-Seq data were reliable, we chose four AS genes and analyzed them through RT-PCR. Results: The present article illustrated that pig GCs had a complex transcriptome, which gave rise to 8,793 APA, 3,465 AS events, 703 candidate new gene loci, as well as 92 lncRNAs. The results of this study revealed the complex transcriptome in pig GCs. It provided a basis for the interpretation of the molecular mechanism in GCs.

Indexed as

RNA, Long NoncodingTranscriptomeAnimalsEstradiolFemaleGranulosa CellsProtein IsoformsSwineEstradiolProtein IsoformsRNA, Long NoncodingAlternative splicingGranulosa cellsIso-SeqLncRNAsPig

Identifiers

PMID35637716
PMCPMC9147391
OpenAlexW4281571155

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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.