Evidence map›Paper›PMID 19594876›Full record

ArticleBMC genomics2009

Comparing 2-nt 3' overhangs against blunt-ended siRNAs: a systems biology based study.

Preetam Ghosh, Robert Dullea, James E Fischer, Tom G Turi, Ronald W Sarver, Chaoyang Zhang, Kalyan Basu, Sajal K Das, Bradley W Poland

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2009. 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
1.1field-weighted citation impact, top 25% 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, 33 citations in OpenAlex.

  1. RNA-Based Therapies for Inherited Metabolic Disorders.Journal of inherited metabolic disease · 2026
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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

9 authors at 4 institutions in 1 country.

Preetam GhoshSchool of Computing, The University of Southern Mississippi, Hattiesburg, MS 39406, USA. preetam.ghosh@usm.edu
Robert Dullea
James E Fischer
Tom G Turi
Ronald W Sarver
Chaoyang Zhang
Kalyan Basu
Sajal K Das
Bradley W Poland
Pfizer (United States) · USThe University of Texas at Arlington · USUniversity of Southern Mississippi · USCovance (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we formulate a computational reaction model following a chemical kinetic theory approach to predict the binding rate constant for the siRNA-RISC complex formation reaction. The model allowed us to study the potency difference between 2-nt 3' overhangs against blunt-ended siRNA molecules in an RNA interference (RNAi) system. The rate constant predicted by this model was fed into a stochastic simulation of the RNAi system (using the Gillespie stochastic simulator) to study the overall potency effect. We observed that the stochasticity in the transcription/translation machinery has no observable effects in the RNAi pathway. Sustained gene silencing using siRNAs can be achieved only if there is a way to replenish the dsRNA molecules in the cell. Initial findings show about 1.5 times more blunt-ended molecules will be required to keep the mRNA at the same reduced level compared to the 2-nt overhang siRNAs. However, the mRNA levels jump back to saturation after a longer time when blunt-ended siRNAs are used. We found that the siRNA-RISC complex formation reaction rate was 2 times slower when blunt-ended molecules were used pointing to the fact that the presence of the 2-nt overhangs has a greater effect on the reaction in which the bound RISC complex cleaves the mRNA.

Indexed as

Computer SimulationModels, ChemicalRNA InterferenceComputational BiologyRNA, Double-StrandedRNA-Induced Silencing ComplexRNA, MessengerRNA, Small InterferingSystems BiologyRNA, Double-StrandedRNA-Induced Silencing ComplexRNA, MessengerRNA, Small Interfering

Identifiers

PMID19594876
PMCPMC2709260
OpenAlexW1985569287

What OpenQuestion holds

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LicenceCC BY
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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.