Evidence map›Paper›PMID 15629049›Full record

ArticleGenomics, proteomics & bioinformatics2004

Post-transcriptional gene silencing induced by short interfering RNAs in cultured transgenic plant cells.

Wei Tang, Vanessa Samuels, Nicki Whitley, Nicole Bloom, Tinya DeLaGarza, Ronald J Newton

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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  6. DNA nanostructures coordinate gene silencing in mature plants.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

6 authors at 2 institutions in 1 country.

Wei TangDepartment of Biology, Howell Science Complex, East Carolina University, Greenville, NC 27858-4353, USA. tangw@mail.ecu.edu
Vanessa Samuels
Nicki Whitley
Nicole Bloom
Tinya DeLaGarza
Ronald J Newton
East Carolina University · USShaw University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short interfering RNA (siRNA) is widely used for studying post-transcriptional gene silencing and holds great promise as a tool for both identifying function of novel genes and validating drug targets. Two siRNA fragments (siRNA-a and -b), which were designed against different specific areas of coding region of the same target green fluorescent protein (GFP) gene, were used to silence GFP expression in cultured gfp transgenic cells of rice (Oryza sativa L.; OS), cotton (Gossypium hirsutum L.; GH), Fraser fir [Abies fraseri (Pursh) Poir; AF], and Virginia pine (Pinus virginiana Mill.; PV). Differential gene silencing was observed in the bombarded transgenic cells between two siRNAs, and these results were consistent with the inactivation of GFP confirmed by laser scanning microscopy, Northern blot, and siRNA analysis in tested transgenic cell cultures. These data suggest that siRNA-mediated gene inactivation can be the siRNA specific in different plant species. These results indicate that siRNA is a highly specific tool for targeted gene knockdown and for establishing siRNA-mediated gene silencing, which could be a reliable approach for large-scale screening of gene function and drug target validation.

Indexed as

Cells, CulturedGene Transfer TechniquesGreen Fluorescent ProteinsPlantsRNA InterferenceRNA, Small InterferingTime FactorsGreen Fluorescent ProteinsRNA, Small Interfering

Identifiers

PMID15629049
PMCPMC5172445
OpenAlexW2424757011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.