Evidence map›Paper›PMID 26756196›Full record

ArticleMolecular therapy. Nucleic acids2016

Design of Effective Primary MicroRNA Mimics With Different Basal Stem Conformations.

Fiona T van den Berg, John J Rossi, Patrick Arbuthnot, Marc S Weinberg

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors.

Fiona T van den BergWits/SAMRC Antiviral Gene Therapy Research Unit, Department of Molecular Medicine and Haematology, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.
John J RossiDepartment of Molecular and Cellular Biology, Beckman Research Institute of City of Hope, Duarte, California, USA.
Patrick ArbuthnotWits/SAMRC Antiviral Gene Therapy Research Unit, Department of Molecular Medicine and Haematology, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.
Marc S WeinbergWits/SAMRC Antiviral Gene Therapy Research Unit, Department of Molecular Medicine and Haematology, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary microRNA (pri-miRNA) mimics are important mediators of effective gene silencing and are well suited for sustained therapeutic applications. Pri-miRNA mimics are processed in the endogenous miRNA biogenesis pathway, where elements of the secondary RNA structure are crucial for efficient miRNA production. Cleavage of the pri-miRNA to a precursor miRNA (pre-miRNA) by Drosha-DGCR8 typically occurs adjacent to a basal stem of ~11 bp. However, a number of pri-miRNA structures are expected to contain slightly shorter or longer basal stems, which may be further disrupted in predicted folding of the expressed pri-miRNA sequence. We investigated the function and processing of natural and exogenous RNA guides from pri-miRNAs with various basal stems (9-13 bp), where a canonical hairpin was predicted to be well or poorly maintained in predicted structures of the expressed sequence. We have shown that RNA guides can be effectively derived from pri-miRNAs with various basal stem conformations, while predicted guide region stability can explain the function of pri-miRNA mimics, in agreement with previously proposed design principles. This study provides insight for the design of effective mimics based on naturally occurring pri-miRNAs and has identified several novel scaffolds suitable for use in gene silencing applications.

Identifiers

PMID26756196
PMCPMC5012551

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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.