Evidence map›Paper›PMID 37368335›Full record

ArticleNon-coding RNA2023

Small Nucleolar (Sno)RNA: Therapy Lays in Translation.

Ofri Rabany, Daphna Nachmani

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Ribosome Molecular Aging Shapes Translation Dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  2. Ribosomes: from conserved origin to functional/medical mobility and heterogeneity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  3. Non-Coding RNAs in Breast Cancer: Diagnostic and Therapeutic Implications.International journal of molecular sciences · 2024
    Review
  4. SnoRNAs: The promising targets for anti-tumor therapy.Journal of pharmaceutical analysis · 2024
    Review
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Ofri RabanyDepartment of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 9190401, Israel.
Daphna NachmaniDepartment of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 9190401, Israel.
Hebrew University of Jerusalem · IL

Funding

Israel Science Foundation 1193/22
6 · The paper itself

Abstract

The ribosome is one of the largest complexes in the cell. Adding to its complexity are more than 200 RNA modification sites present on ribosomal RNAs (rRNAs) in a single human ribosome. These modifications occur in functionally important regions of the rRNA molecule, and they are vital for ribosome function and proper gene expression. Until recent technological advancements, the study of rRNA modifications and their profiles has been extremely laborious, leaving many questions unanswered. Small nucleolar RNAs (snoRNAs) are non-coding RNAs that facilitate and dictate the specificity of rRNA modification deposition, making them an attractive target for ribosome modulation. Here, we propose that through the mapping of rRNA modification profiles, we can identify cell-specific modifications with high therapeutic potential. We also describe the challenges of achieving the targeting specificity needed to implement snoRNAs as therapeutic targets in cancers.

Indexed as

2′-O-methylationribosomesnoRNAstherapy

Identifiers

PMID37368335
PMCPMC10301893
OpenAlexW4380048706

What Socratic 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 Socratic graph.