Evidence map›Paper›PMID 33772581›Full record

SynthesisNucleic acids research2021

Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms.

Lingyu Guan, Andrey Grigoriev

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 47 citations in OpenAlex.

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  13. Overview of the Different Classes of Small RNAs During B-Cell Development.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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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.

Lingyu GuanDepartment of Biology, Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.
Andrey GrigorievDepartment of Biology, Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.
Rutgers, The State University of New Jersey · US

Funding

Variant identification for cancer genomicsR15CA220059 · NCI · RUTGERS THE STATE UNIV OF NJ CAMDEN · PI GRIGORIEV, ANDREY · 2018 to 2018
$447k
NCI NIH HHS R15 CA220059
6 · The paper itself

Abstract

The most abundant cellular RNA species, ribosomal RNA (rRNA), appears to be a source of massive amounts of non-randomly generated fragments. We found rRNA fragments (rRFs) in immunoprecipitated Argonaute (Ago-IP) complexes in human and mouse cells and in small RNA sequencing datasets. In human Ago1-IP, guanine-rich rRFs were preferentially cut in single-stranded regions of mature rRNAs between pyrimidines and adenosine, and non-randomly paired with cellular transcripts in crosslinked chimeras. Numerous identical rRFs were found in the cytoplasm and nucleus in mouse Ago2-IP. We report specific interaction motifs enriched in rRF-target pairs. Locations of such motifs on rRFs were compatible with the Ago structural features and patterns of the Ago-RNA crosslinking in both species. Strikingly, many of these motifs may bind to double-stranded regions on target RNAs, suggesting a potential pathway for regulating translation by unwinding mRNAs. Occurring on either end of rRFs and matching intronic, untranslated or coding regions in targets, such interaction sites extend the concept of microRNA seed regions. Targeting both borders of certain short introns, rRFs may be involved in their biogenesis or function, facilitated by Ago. Frequently dismissed as noise, rRFs are poised to greatly enrich the known functional spectrum of small RNA regulation.

Indexed as

Amino Acid MotifsAnimalsArgonaute ProteinsDatabases, GeneticHEK293 CellsHumansMiceProtein BindingRNA, Double-StrandedRNA, RibosomalRNA, TransferAGO2 protein, humanAgo2 protein, mouseArgonaute ProteinsRNA, Double-StrandedRNA, RibosomalRNA, Transfer

Identifiers

PMID33772581
PMCPMC8053083
OpenAlexW3139977424

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.