Evidence map›Paper›PMID 32408516›Full record

ArticleGenes2020

Complex Analysis of Retroposed Genes' Contribution to Human Genome, Proteome and Transcriptome.

Magdalena Regina Kubiak, Michał Wojciech Szcześniak, Izabela Makałowska

Abstract read
In one paragraph

Article in Genes, 2020. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Cancer, Retrogenes, and Evolution.Life (Basel, Switzerland) · 2021
    Review
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.

Magdalena Regina KubiakFaculty of Biology, Institute of Human Biology and Evolution, Adam Mickiewicz University, 61-614 Poznań, Poland.
Michał Wojciech SzcześniakFaculty of Biology, Institute of Human Biology and Evolution, Adam Mickiewicz University, 61-614 Poznań, Poland.
Izabela MakałowskaFaculty of Biology, Institute of Human Biology and Evolution, Adam Mickiewicz University, 61-614 Poznań, Poland.ORCID 0000-0002-8144-5671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene duplication is a major driver of organismal evolution. One of the main mechanisms of gene duplications is retroposition, a process in which mRNA is first transcribed into DNA and then reintegrated into the genome. Most gene retrocopies are depleted of the regulatory regions. Nevertheless, examples of functional retrogenes are rapidly increasing. These functions come from the gain of new spatio-temporal expression patterns, imposed by the content of the genomic sequence surrounding inserted cDNA and/or by selectively advantageous mutations, which may lead to the switch from protein coding to regulatory RNA. As recent studies have shown, these genes may lead to new protein domain formation through fusion with other genes, new regulatory RNAs or other regulatory elements. We utilized existing data from high-throughput technologies to create a complex description of retrogenes functionality. Our analysis led to the identification of human retroposed genes that substantially contributed to transcriptome and proteome. These retrocopies demonstrated the potential to encode proteins or short peptides, act as

Indexed as

Evolution, MolecularGenome, HumanGene DuplicationGene Regulatory NetworksHumansMicroRNAsProtein DomainsProteomePseudogenesRecombination, GeneticRetroelementsRibosomesRNA, AntisenseRNA-SeqTranscriptomeMicroRNAsProteomeRetroelementsRNA, Antisenseantisense transcriptlncRNAmiRNA spongepseudogenesrecombination.retroposition

Identifiers

PMID32408516
PMCPMC7290577

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.