Evidence map›Paper›PMID 18581204›Full record

ArticlePharmaceutical research2008

Global gene expression profiling in cultured cells is strongly influenced by treatment with siRNA-cationic liposome complexes.

Tatsuaki Tagami, Kiyomi Hirose, Jose Mario Barichello, Tatsuhiro Ishida, Hiroshi Kiwada

Abstract read
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Article in Pharmaceutical research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 22 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

5 authors at 2 institutions in 1 country.

Tatsuaki TagamiDepartment of Pharmacokinetics and Biopharmaceutics, Subdivision of Biopharmaceutical Sciences, Institute of Health Biosciences, The University of Tokushima, 1-78-1 Sho-machi, Tokushima 770-8505, Japan.
Kiyomi Hirose
Jose Mario Barichello
Tatsuhiro Ishida
Hiroshi Kiwada
Tokushima University · JPJapan Association for the Advancement of Medical Equipment · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to determine if the treatment with siRNA-lipoplexes significantly influences on global gene expression in the treated cells.

methodsWe investigated global gene expression in a HT1080 cell line by a cDNA microarray. We also evaluated the effect of lipofection on global gene expression by determining the change of the expression of an exogenous gene, green fluorescence protein (GFP), and also determined treatment-related cytotoxicity.

resultsTreatment of the cells with either siRNA-lipoplexes or cationic liposomes altered the expression of approximately 2,500 genes. When lipoplexes containing non-specific siRNAs were used, GFP expression was enhanced. In this case the effect was independent on the dose and type of siRNA in the formulation. By contrast, when lipoplexes containing a specific siRNA against GFP was used, GFP expression was markedly diminished. These results clearly indicate that an efficient reduction of a targeted gene expression by a specific siRNA is accompanied by a significant alteration of the expression of numerous non-targeted genes. In addition, treatment-related cytotoxicity increased with siRNA- and cationic lipid-doses, but was not dependent on siRNA type.

conclusionNon-specific effects of siRNA-lipoplexes may either enhance, attenuate or even fully mask the desired outcomes of siRNA-based biochemical studies and therapies.

Indexed as

Gene Expression ProfilingLiposomesCell Line, TumorCell SurvivalGreen Fluorescent ProteinsHumansOligonucleotide Array Sequence AnalysisRNA, Small InterferingGreen Fluorescent ProteinsLiposomesRNA, Small Interfering

Identifiers

PMID18581204
OpenAlexW2044941596

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.