Evidence map›Paper›PMID 12364590›Full record

ReviewNucleic acids research2002

Having it both ways: transcription factors that bind DNA and RNA.

Laura A Cassiday, L James Maher

Open access · bronzeAbstract readReview
In one paragraph

Review in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

89 citing papers in PubMed, 187 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Article
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  16. Article
  17. Review
  18. Article
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  20. Review

29 more citing papers are in PubMed but not listed here.

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.

Laura A CassidayDepartment of Biochemistry and Molecular Biology, Mayo Foundation, 200 First Street SW, Rochester, MN 55905, USA.
L James Maher
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifunctional proteins challenge the conventional 'one protein-one function' paradigm. Here we note apparent multifunctional proteins with nucleic acid partners, tabulating eight examples. We then focus on eight additional cases of transcription factors that bind double-stranded DNA with sequence specificity, but that also appear to lead alternative lives as RNA-binding proteins. Exemplified by the prototypic Xenopus TFIIIA protein, and more recently by mammalian p53, this list of transcription factors includes WT-1, TRA-1, bicoid, the bacterial sigma(70) subunit, STAT1 and TLS/FUS. The existence of transcription factors that bind both DNA and RNA provides an interesting puzzle. Little is known concerning the biological roles of these alternative protein-nucleic acid interactions, and even less is known concerning the structural basis for dual nucleic acid specificity. We discuss how these natural examples have motivated us to identify artificial RNA sequences that competitively inhibit a DNA-binding transcription factor not known to have a natural RNA partner. The identification of such RNAs raises the possibility that RNA binding by DNA-binding proteins is more common than currently appreciated.

Indexed as

AnimalsBase SequenceDNADNA-Binding ProteinsHomeodomain ProteinsHumansModels, MolecularMolecular Sequence DataProtein BindingRNASTAT1 Transcription FactorTrans-ActivatorsTranscription FactorsTranscription Factor TFIIIATumor Suppressor Protein p53DNADNA-Binding ProteinsHomeodomain ProteinsRNASTAT1 protein, humanSTAT1 Transcription FactorTrans-ActivatorsTranscription FactorsTranscription Factor TFIIIATumor Suppressor Protein p53

Identifiers

PMID12364590
PMCPMC140532
OpenAlexW2133141667

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.