Evidence map›Paper›PMID 28553318›Full record

ArticleFrontiers in genetics2017

Non-coding RNAs in the Ovarian Follicle.

Rosalia Battaglia, Maria E Vento, Placido Borzì, Marco Ragusa, Davide Barbagallo, Desirée Arena, Michele Purrello, Cinzia Di Pietro

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.0field-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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  18. The Interaction of lncRNA XLOC-2222497,International journal of molecular sciences · 2020
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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

8 authors at 2 institutions in 1 country.

Rosalia BattagliaSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Maria E VentoIVF Unit, Cannizzaro HospitalCatania, Italy.
Placido BorzìIVF Unit, Cannizzaro HospitalCatania, Italy.
Marco RagusaSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Davide BarbagalloSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Desirée ArenaSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Michele PurrelloSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Cinzia Di PietroSection of Biology and Genetics G. Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
University of Catania · ITOspedale Cannizzaro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian ovarian follicle is the complex reproductive unit comprising germ cell, somatic cells (Cumulus and Granulosa cells), and follicular fluid (FF): paracrine communication among the different cell types through FF ensures the development of a mature oocyte ready for fertilization. This paper is focused on non-coding RNAs in ovarian follicles and their predicted role in the pathways involved in oocyte growth and maturation. We determined the expression profiles of microRNAs in human oocytes and FF by high-throughput analysis and identified 267 microRNAs in FF and 176 in oocytes. Most of these were FF microRNAs, while 9 were oocyte specific. By bioinformatic analysis, independently performed on FF and oocyte microRNAs, we identified the most significant Biological Processes and the pathways regulated by their validated targets. We found many pathways shared between the two compartments and some specific for oocyte microRNAs. Moreover, we found 41 long non-coding RNAs able to interact with oocyte microRNAs and potentially involved in the regulation of folliculogenesis. These data are important in basic reproductive research and could also be useful for clinical applications. In fact, the characterization of non-coding RNAs in ovarian follicles could improve reproductive disease diagnosis, provide biomarkers of oocyte quality in Assisted Reproductive Treatment, and allow the development of therapies for infertility disorders.

Indexed as

follicular fluidhuman oocytelncRNAsmicroRNAsovarian follicle

Identifiers

PMID28553318
PMCPMC5427069
OpenAlexW2612112923

What OpenQuestion holds

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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.