Evidence map›Paper›PMID 30980111›Full record

ReviewCellular and molecular life sciences : CMLS2019

The role of the protein-RNA recognition code in neurodegeneration.

Jozef Nahalka

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. 1-L Transcription in Prion Diseases.International journal of molecular sciences · 2024
    Article
  4. 1-L Transcription of SARS-CoV-2 Spike Protein S1 Subunit.International journal of molecular sciences · 2024
    Article
  5. Article
  6. 1-L Transcription in Alzheimer's Disease.Current issues in molecular biology · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

1 author at 1 institution in 1 country.

Jozef NahalkaInstitute of Chemistry, Centre for Glycomics, Slovak Academy of Sciences, Dubravska cesta 9, 84538, Bratislava, Slovak Republic. nahalka@savba.sk.ORCID http://orcid.org/0000-0002-2415-6005
Slovak University of Agriculture in Nitra · SK

Funding

Research and Development Operational Programme ITMS 26220120054VEGA VEGA 2/0058/17
6 · The paper itself

Abstract

MicroRNAs are small endogenous RNAs that pair and bind to sites on mRNAs to direct post-transcriptional repression. However, there is a possibility that microRNAs directly influence protein structure and activity, and this influence can be termed post-translational riboregulation. This conceptual review explores the literature on neurodegenerative disorders. Research on the association between neurodegeneration and RNA-repeat toxicity provides data that support a protein-RNA recognition code. For example, this code explains why hnRNP H and SFPQ proteins, which are involved in amyotrophic lateral sclerosis, are sequestered by the (GGGGCC)n repeat sequence. Similarly, it explains why MNBL proteins and (CTG)n repeats in RNA, which are involved in myotonic dystrophy, are sequestered into RNA foci. Using this code, proteins involved in diseases can be identified. A simple protein BLAST search of the human genome for amino acid repeats that correspond to the nucleotide repeats reveals new proteins among already known proteins that are involved in diseases. For example, the (CAG)n repeat sequence, when transcribed into possible peptide sequences, leads to the identification of PTCD3, Rem2, MESP2, SYPL2, WDR33, COL23A1, and others. After confirming this approach on RNA repeats, in the next step, the code was used in the opposite manner. Proteins that are involved in diseases were compared with microRNAs involved in those diseases. For example, a reasonable correspondence of microRNA 9 and 107 with amyloid-β-peptide (Aβ42) was identified. In the last step, a miRBase search for micro-nucleotides, obtained by transcription of a prion amino acid sequence, revealed new microRNAs and microRNAs that have previously been identified as involved in prion diseases. This concept provides a useful key for designing RNA or peptide probes.

Indexed as

Genetic CodeMicrosatellite RepeatsProtein Processing, Post-TranslationalAlzheimer DiseaseAmyotrophic Lateral SclerosisBinding SitesGenome, HumanHeterogeneous-Nuclear Ribonucleoprotein Group F-HHumansHuntington DiseaseMicroRNAsMyotonic DystrophyParkinson DiseasePrion DiseasesProtein BindingPTB-Associated Splicing FactorHeterogeneous-Nuclear Ribonucleoprotein Group F-HHNRNPH2 protein, humanMicroRNAsPTB-Associated Splicing FactorRNA, MessengerAlzheimer’s diseaseHuntington’s diseaseMolecular recognitionNon-coding RNAParkinson’s diseasePrion diseases

Identifiers

PMID30980111
PMCPMC11105320
OpenAlexW2939703746

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.