Evidence map›Paper›PMID 16433925›Full record

ArticleBMC biotechnology2006

Criteria for effective design, construction, and gene knockdown by shRNA vectors.

Debra J Taxman, Laura R Livingstone, Jinghua Zhang, Brian J Conti, Heather A Iocca, Kristi L Williams, John D Lich, Jenny P-Y Ting, William Reed

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

63 citing papers in PubMed, 127 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Designing an effective therapeutic siRNA to silence RdRp gene of SARS-CoV-2.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  8. Article
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  13. CRISPR therapy towards an HIV cure.Briefings in functional genomics · 2020
    Article
  14. Article
  15. Article
  16. Review
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  18. Article
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Debra J TaxmanDepartment of Microbiology and Immunology, Lineberger Comprehensive Cancer Center; University of North Carolina, Chapel Hill, NC 27599, USA. Debra_Taxman@med.UNC.edu
Laura R Livingstone
Jinghua Zhang
Brian J Conti
Heather A Iocca
Kristi L Williams
John D Lich
Jenny P-Y Ting
William Reed
University of North Carolina at Chapel Hill · USUNC Lineberger Comprehensive Cancer Center

Funding

THE MICROENVIRONMENT IN ALLOIMMUNITYP01DK038108 · NIDDK · DUKE UNIVERSITY · PI TING, JENNY P · 1988 to 2009
$7.1M
NIAID NIH HHS AI57175NIAID NIH HHS L30 AI057175NIDDK NIH HHS DK38108NIDDK NIH HHS P01 DK038108
6 · The paper itself

Abstract

backgroundRNA interference (RNAi) technology is a powerful methodology recently developed for the specific knockdown of targeted genes. RNAi is most commonly achieved either transiently by transfection of small interfering (si) RNA oligonucleotides, or stably using short hairpin (sh) RNA expressed from a DNA vector or virus. Much controversy has surrounded the development of rules for the design of effective siRNA oligonucleotides; and whether these rules apply to shRNA is not well characterized.

resultsTo determine whether published algorithms for siRNA oligonucleotide design apply to shRNA, we constructed 27 shRNAs from 11 human genes expressed stably using retroviral vectors. We demonstrate an efficient method for preparing wild-type and mutant control shRNA vectors simultaneously using oligonucleotide hybrids. We show that sequencing through shRNA vectors can be problematic due to the intrinsic secondary structure of the hairpin, and we determine a strategy for effective sequencing by using a combination of modified BigDye chemistries and DNA relaxing agents. The efficacy of knockdown for the 27 shRNA vectors was evaluated against six published algorithms for siRNA oligonucleotide design. Our results show that none of the scoring algorithms can explain a significant percentage of variance in shRNA knockdown efficacy as assessed by linear regression analysis or ROC curve analysis. Application of a modification based on the stability of the 6 central bases of each shRNA provides fair-to-good predictions of knockdown efficacy for three of the algorithms. Analysis of an independent set of data from 38 shRNAs pooled from previous publications confirms these findings.

conclusionThe use of mixed oligonucleotide pairs provides a time and cost efficient method of producing wild type and mutant control shRNA vectors. The addition to sequencing reactions of a combination of mixed dITP/dGTP chemistries and DNA relaxing agents enables read through the intrinsic secondary structure of problematic shRNA vectors. Six published algorithms for siRNA oligonucleotide design that were tested in this study show little or no efficacy at predicting shRNA knockdown outcome. However, application of a modification based on the central shRNA stability should provide a useful improvement to the design of effective shRNA vectors.

Indexed as

AlgorithmsGene SilencingDrug DesignGene TargetingGenetic VectorsRNA ProbesRNA, Small InterferingSequence AlignmentSequence Analysis, RNARNA ProbesRNA, Small Interfering

Identifiers

PMID16433925
PMCPMC1409772
OpenAlexW2123352893

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.