Evidence map›Paper›PMID 7516470›Full record

ArticleMolecular and cellular biology1994

The U1 small nuclear ribonucleoprotein (snRNP) 70K protein is transported independently of U1 snRNP particles via a nuclear localization signal in the RNA-binding domain.

J M Romac, D H Graff, J D Keene

Open access · greenAbstract readComparative Study
In one paragraph

Article in Molecular and cellular biology, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.0field-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

20 citing papers in PubMed, 42 citations in OpenAlex.

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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 at 1 institution in 1 country.

J M RomacDepartment of Microbiology, Duke University Medical Center, Durham, North Carolina 27710.
D H Graff
J D Keene
Duke Medical Center · US

Funding

Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
DETERMINANTS OF SPECIFICITY IN PROTEIN/RNA INTERACTIONSR01CA060083 · NCI · DUKE UNIVERSITY · PI KEENE, JACK D · 1993 to 1997
–
NCI NIH HHS 5T32CA09111NCI NIH HHS CA60083NIMH NIH HHS 5T32MH5177
6 · The paper itself

Abstract

Expression of the recombinant human U1-70K protein in COS cells resulted in its rapid transport to the nucleus, even when binding to U1 RNA was debilitated. Deletion analysis of the U1-70K protein revealed the existence of two segments of the protein which were independently capable of nuclear localization. One nuclear localization signal (NLS) was mapped within the U1 RNA-binding domain and consists of two typically separated but interdependent elements. The major element of this NLS resides in structural loop 5 between the beta 4 strand and the alpha 2 helix of the folded RNA recognition motif. The C-terminal half of the U1-70K protein which was capable of nuclear entry contains two arginine-rich regions, which suggests the existence of a second NLS. Site-directed mutagenesis of the RNA recognition motif NLS demonstrated that the U1-70K protein can be transported independently of U1 RNA and that its association with the U1 small nuclear ribonucleoprotein particle can occur in the nucleus.

Indexed as

Amino Acid SequenceAnimalsBinding SitesCell LineCell NucleusChlorocebus aethiopsCloning, MolecularEpitopesHumansMolecular WeightMutagenesis, Site-DirectedPeptide FragmentsPoint MutationProtein Structure, TertiaryRecombinant ProteinsRibonucleoproteins, Small NuclearEpitopesPeptide FragmentsRecombinant ProteinsRibonucleoproteins, Small NuclearRibonucleoprotein, U1 Small NuclearRNA, Messenger

Identifiers

PMID7516470
PMCPMC358839
OpenAlexW1821196078

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.