Evidence map›Paper›PMID 16314521›Full record

ArticleMolecular and cellular biology2005

Specific sequence features, recognized by the SMN complex, identify snRNAs and determine their fate as snRNPs.

Tracey J Golembe, Jeongsik Yong, Gideon Dreyfuss

Abstract read
In one paragraph

Article in Molecular and cellular biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. A unique mechanism of snRNP core assembly.Nature communications · 2025
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  6. Article
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  17. 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

3 authors.

Tracey J GolembeHoward Hughes Medical Institute, Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, 19104, USA.
Jeongsik Yong
Gideon Dreyfuss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The survival of motor neurons (SMN) complex is essential for the biogenesis of spliceosomal small nuclear ribonucleoproteins (snRNPs) as it binds to and delivers Sm proteins for assembly of Sm cores on the abundant small nuclear RNAs (snRNAs). Using the conserved snRNAs encoded by the lymphotropic Herpesvirus saimiri (HVS), we determined the specific sequence and structural features of RNAs for binding to the SMN complex and for Sm core assembly. We show that the minimal SMN complex-binding domain in snRNAs, except U1, is comprised of an Sm site (AUUUUUG) and an adjacent 3' stem-loop. The adenosine and the first and third uridines of the Sm site are particularly critical for binding of the SMN complex, which directly contacts the backbone phosphates of these uridines. The specific sequence of the adjacent stem (7 to 12 base pairs)-loop (4 to 17 nucleotides) is not important for SMN complex binding, but it must be located within a short distance of the 3' end of the RNA for an Sm core to assemble. Importantly, these defining characteristics are discerned by the SMN complex and not by the Sm proteins, which can bind to and assemble on an Sm site sequence alone. These findings demonstrate that the SMN complex is the identifier, as well as assembler, of the abundant class of snRNAs in cells because it is able to recognize an snRNP code that they contain.

Indexed as

Base SequenceConserved SequenceHerpesvirus 2, SaimiriineHumansMolecular Sequence DataNucleic Acid ConformationNucleotidesRibonucleoproteins, Small NuclearRNA-Binding ProteinsRNA, Small NuclearSpliceosomesUridineViral ProteinsNucleotidesRibonucleoproteins, Small NuclearRNA-Binding ProteinsRNA, Small NuclearUridineViral Proteins

Identifiers

PMID16314521
PMCPMC1316962

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.