Evidence map›Paper›PMID 28905886›Full record

ArticleGene therapy2017

Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era.

K Wada, Y Wada, Y Iwasaki, T Ikemura

Open access · hybridAbstract read
In one paragraph

Article in Gene therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 2 institutions in 1 country.

K WadaDepartment of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Japan.
Y WadaDepartment of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Japan.
Y IwasakiDepartment of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Japan.
T IkemuraDepartment of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Japan.
Nagahama Institute of Bio-Science and Technology · JPNational Institute of Genetics · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oligonucleotides are key elements of nucleic acid therapeutics such as small interfering RNAs (siRNAs). Influenza and Ebolaviruses are zoonotic RNA viruses mutating very rapidly, and their sequence changes must be characterized intensively to design therapeutic oligonucleotides with long utility. Focusing on a total of 182 experimentally validated siRNAs for influenza A, B and Ebolaviruses compiled by the siRNA database, we conducted time-series analyses of occurrences of siRNA targets in these viral genomes. Reflecting their high mutation rates, occurrences of target oligonucleotides evidently fluctuate in viral populations and often disappear. Time-series analysis of the one-base changed sequences derived from each original target identified the oligonucleotide that shows a compensatory increase and will potentially become the 'awaiting-type oligonucleotide'; the combined use of this oligonucleotide with the original can provide therapeutics with long utility. This strategy is also useful for assigning diagnostic reverse transcription-PCR primers with long utility.

Indexed as

EbolavirusGenome, ViralHemorrhagic Fever, EbolaHumansInfluenza, HumanMutation RateOligonucleotidesOrthomyxoviridaeRNAi TherapeuticsRNA, Small InterferingOligonucleotidesRNA, Small Interfering

Identifiers

PMID28905886
PMCPMC5658673
OpenAlexW2754754460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.