Evidence map›Paper›PMID 38997254›Full record

ArticleScientific data2024

Small non-coding RNA transcriptomic profiling in adult and fetal human brain.

Marharyta Smal, Domenico Memoli, Elena Alexandrova, Domenico Di Rosa, Ylenia D'Agostino, Fabio Russo, Giorgio Giurato, Giovanni Nassa, Roberta Tarallo, Alessandro Weisz and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Regulatory roles of PIWI-interacting RNAs in cardiovascular disease.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  7. Article
  8. 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

11 authors.

Marharyta SmalLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Domenico MemoliLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Elena AlexandrovaLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Domenico Di RosaLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Ylenia D'AgostinoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Fabio RussoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.
Giorgio GiuratoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.ORCID 0000-0002-0538-8978
Giovanni NassaLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.ORCID 0000-0001-7453-1240
Roberta TaralloLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy.ORCID 0000-0001-9668-3632
Alessandro WeiszLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy. aweisz@unisa.it.ORCID 0000-0003-0455-2083
Francesca RizzoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, 84081, Baronissi, SA, Italy. frizzo@unisa.it.ORCID 0000-0003-1783-5015

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) PON 2018, grant PerMedNet, CUP: D26C18000260005Regione Campania POR Campania FESR 2014/2020, grant GENOMAeSALUTE, CUP: B41C17000080007Università degli Studi di Salerno (University of Salerno) ORSA233525
6 · The paper itself

Abstract

Small non-coding RNAs (sncRNAs) make up ~1% of the transcriptome; nevertheless, they play significant roles in regulating cellular processes. Given the complexity of the central nervous system, sncRNAs likely hold particular importance in the human brain. In this study, we provide sncRNA transcriptomic profiles in a range of adult and prenatal brain regions, with a focus on piRNAs, due to their underexplored expression in somatic cells and tissue-specific nature. Using the WIND workflow, which combines two detection methods, we found 1333 (731 miRNAs, 249 piRNAs, 285 snoRNAs, and 68 other sncRNAs) and 1445 unique sncRNAs (770 miRNAs, 307 piRNAs, 289 snoRNAs, and 79 other sncRNAs) in developing and adult brains, respectively. Significant variations were found upon comparison of fetal and adult brain groups, with 82 miRNAs, 17 piRNAs, and 70 snoRNAs enriched in fetal brains and 22 miRNAs, 11 piRNAs in adult brains. This dataset represents a valuable resource for exploring the sncRNA roles in brain function, their involvement in neurological diseases, and the molecular mechanisms behind brain region interactions.

Indexed as

BrainFetusGene Expression ProfilingRNA, Small UntranslatedAdultHumansMicroRNAsTranscriptomeMicroRNAsRNA, Small Untranslated

Identifiers

PMID38997254
PMCPMC11245507

What OpenQuestion holds

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Registered trials

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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.