Evidence map›Paper›PMID 29093734›Full record

ArticleFrontiers in genetics2017

Double Stranded RNA in Human Seminal Plasma.

Maxim V Zagoskin, Richard E Davis, Dmitry V Mukha

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Technical and Methodological Aspects of Cell-Free Nucleic Acids Analyzes.International journal of molecular sciences · 2020
    Review
  8. Article
  9. 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 2 countries.

Maxim V ZagoskinLaboratory of Genetic Basis of Biodiversity, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Richard E DavisDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, United States.
Dmitry V MukhaLaboratory of Genetic Basis of Biodiversity, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Vavilov Institute of General Genetics · RUUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, human semen was shown to contain cell-free nucleic acids, such as DNA, long single stranded RNA, and small RNAs-miRNA and piRNA. The RNAs have been suggested to have potential biological roles as communication molecules between cells and in the temporal and spatial regulation of gene expression in the male reproductive system. Here we demonstrate that human seminal plasma contains a variety of cell-free dsRNAs, describe a robust method to isolate this type of nucleic acid in preparative amounts, and discuss the potential biological roles of these molecules in inheritance. dsRNA plays a role in a variety of biological processes, including gene regulation, is extremely stable and can gain access to cells from the extracellular medium. We suggest that one of the possible functions of dsRNA in human seminal plasma may be to influence human oocytes and therefore, influence the offspring. It also remains possible that these dsRNAs might have potential use as biomarkers for the study of human physiopathological conditions and genetic variation.

Indexed as

double stranded RNAgenetic molecular markershuman seminal plasmaphenotype of offspringtelegony

Identifiers

PMID29093734
PMCPMC5651240
OpenAlexW2766774152

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.