Evidence map›Paper›PMID 16055530›Full record

ArticleBiophysical journal2005

Molecular and cellular barriers limiting the effectiveness of antisense oligonucleotides.

Charles M Roth

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Clinical Pharmacokinetics of Approved RNA Therapeutics.International journal of molecular sciences · 2023
    Review
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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

1 author at 1 institution in 1 country.

Charles M RothDepartment of Chemical and Biochemical Engineering, Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854-8058, USA. cmroth@rci.rutgers.edu
Rutgers, The State University of New Jersey · US

Funding

Efficient and Selective Delivery of OligonucleotidesR01GM065913 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI ROTH, CHARLES M. · 2002 to 2006
$1.1M
NIGMS NIH HHS 5 R01 GM65913NIGMS NIH HHS R01 GM065913
6 · The paper itself

Abstract

Antisense oligonucleotides present a powerful means to inhibit expression of specific genes, but their effectiveness is limited by factors including cellular delivery, biochemical attack, and poor binding to target. We have developed a systems model of the processes required for an antisense oligonucleotide to enter, gain access to its target mRNA, and exert activity in a cell. The model accurately mimics observed trends in antisense effectiveness with the stability of the oligonucleotide backbone and with the affinity/kinetics of binding to the mRNA over the time course of inhibition. By varying the model parameters within the physically realizable range, we note that the major molecular and cellular barriers to antisense effectiveness are intracellular trafficking, oligonucleotide-mRNA binding rate, and nuclease degradation of oligonucleotides, with a weaker dependence on total cellular uptake than might be expected. Furthermore, the model may serve as a predictive tool to design and test strategies for the cellular use of antisense oligonucleotides. The use of integrated mathematical modeling can play a significant role in the development of antisense and related technologies.

Indexed as

Models, GeneticAnimalsCHO CellsComputer SimulationCricetinaeCricetulusDNAEndocytosisGene SilencingGene Transfer TechniquesOligonucleotides, AntisenseRNA, MessengerDNAOligonucleotides, AntisenseRNA, Messenger

Identifiers

PMID16055530
PMCPMC1366730
OpenAlexW1980200542

What OpenQuestion holds

Textmetadata
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.