Evidence map›Paper›PMID 35087828›Full record

ArticleFrontiers in cell and developmental biology2021

Dynamic MicroRNA Expression Profiles During Embryonic Development Provide Novel Insights Into Cardiac

Carlos Garcia-Padilla, Angel Dueñas, Diego Franco, Virginio Garcia-Lopez, Amelia Aranega, Virginio Garcia-Martinez, Carmen Lopez-Sanchez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. LncRNA H19 Impairs Chemo and Radiotherapy in Tumorigenesis.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Carlos Garcia-PadillaDepartment of Human Anatomy and Embryology, Faculty of Medicine, Institute of Molecular Pathology Biomarkers, University of Extremadura, Badajoz, Spain.
Angel DueñasDepartment of Human Anatomy and Embryology, Faculty of Medicine, Institute of Molecular Pathology Biomarkers, University of Extremadura, Badajoz, Spain.
Diego FrancoDepartment of Experimental Biology, University of Jaen, Jaen, Spain.
Virginio Garcia-LopezDepartment of Human Anatomy and Embryology, Faculty of Medicine, Institute of Molecular Pathology Biomarkers, University of Extremadura, Badajoz, Spain.
Amelia AranegaDepartment of Experimental Biology, University of Jaen, Jaen, Spain.
Virginio Garcia-MartinezDepartment of Human Anatomy and Embryology, Faculty of Medicine, Institute of Molecular Pathology Biomarkers, University of Extremadura, Badajoz, Spain.
Carmen Lopez-SanchezDepartment of Human Anatomy and Embryology, Faculty of Medicine, Institute of Molecular Pathology Biomarkers, University of Extremadura, Badajoz, Spain.
Universidad de Extremadura · ESUniversidad de Jaén · ESFundación Medina · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs have been explored in different organisms and are involved as molecular switches modulating cellular specification and differentiation during the embryonic development, including the cardiovascular system. In this study, we analyze the expression profiles of different microRNAs during early cardiac development. By using whole mount

Indexed as

expression profilesheart developmentHox genesinflow tractmicroRNAssinus venosus

Identifiers

PMID35087828
PMCPMC8787322
OpenAlexW4205955194

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.