Evidence map›Paper›PMID 34432281›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Evolution and Phylogeny of MicroRNAs - Protocols, Pitfalls, and Problems.

Cristian A Velandia-Huerto, Ali M Yazbeck, Jana Schor, Peter F Stadler

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 72% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Hepatitis B Virus and microRNAs: A Bioinformatics Approach.International journal of molecular sciences · 2023
    Review
  3. 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

4 authors at 4 institutions in 4 countries.

Cristian A Velandia-HuertoBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107, Härtelstraße 16-18, Leipzig, Germany. cristian@bioinf.uni-leipzig.de.
Ali M YazbeckBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107, Härtelstraße 16-18, Leipzig, Germany. ali@bioinf.uni-leipzig.de.
Jana SchorYoung Investigators Group Bioinformatics & Transcriptomics, Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research GmbH - UFZ, D-04318, Permoserstraße 15, Leipzig, Germany.
Peter F StadlerBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107, Härtelstraße 16-18, Leipzig, Germany. studla@bioinf.uni-leipzig.de.
Helmholtz Centre for Environmental Research · DELebanese University · LBLeipzig University · DESanta Fe Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are important regulators in many eukaryotic lineages. Typical miRNAs have a length of about 22nt and are processed from precursors that form a characteristic hairpin structure. Once they appear in a genome, miRNAs are among the best-conserved elements in both animal and plant genomes. Functionally, they play an important role in particular in development. In contrast to protein-coding genes, miRNAs frequently emerge de novo. The genomes of animals and plants harbor hundreds of mutually unrelated families of homologous miRNAs that tend to be persistent throughout evolution. The evolution of their genomic miRNA complement closely correlates with important morphological innovation. In addition, miRNAs have been used as valuable characters in phylogenetic studies. An accurate and comprehensive annotation of miRNAs is required as a basis to understand their impact on phenotypic evolution. Since experimental data on miRNA expression are limited to relatively few species and are subject to unavoidable ascertainment biases, it is inevitable to complement miRNA sequencing by homology based annotation methods. This chapter reviews the state of the art workflows for homology based miRNA annotation, with an emphasis on their limitations and open problems.

Indexed as

PhylogenyAnimalsBase SequenceGenome, PlantMicroRNAsPlantsMicroRNAsRNA secondary structure; gene duplication; homology search; data curation; evolution

Identifiers

PMID34432281
OpenAlexW3195627707

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.