Evidence map›Paper›PMID 17897455›Full record

ArticleBMC biotechnology2007

pHUSH: a single vector system for conditional gene expression.

Daniel C Gray, Klaus P Hoeflich, Li Peng, Zhenyu Gu, Alvin Gogineni, Lesley J Murray, Mike Eby, Noelyn Kljavin, Somasekar Seshagiri, Mary J Cole and 1 more

Abstract read
In one paragraph

Article in BMC biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Quantitative microscopy reveals dynamics and fate of clustered IRE1α.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  16. A whole-genome RNAi screen identifies an 8q22 gene cluster that inhibits death receptor-mediated apoptosis.Proceedings of the National Academy of Sciences of the United States of America · 2011
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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

11 authors.

Daniel C GrayDepartment of Molecular Biology, Genentech Inc, South San Francisco, California, USA. Daniel.Gray@ucsf.edu
Klaus P Hoeflich
Li Peng
Zhenyu Gu
Alvin Gogineni
Lesley J Murray
Mike Eby
Noelyn Kljavin
Somasekar Seshagiri
Mary J Cole
David P Davis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConditional expression vectors have become a valuable research tool to avoid artefacts that may result from traditional gene expression studies. However, most systems require multiple plasmids that must be independently engineered into the target system, resulting in experimental delay and an increased potential for selection of a cell subpopulation that differs significantly from the parental line. We have therefore developed pHUSH, an inducible expression system that allows regulated expression of shRNA, miRNA or cDNA cassettes on a single viral vector.

resultsBoth Pol II and Pol III promoters have been successfully combined with a second expression cassette containing a codon-optimized tetracycline repressor and selectable marker. We provide examples of how pHUSH has been successfully employed to study the function of target genes in a number of cell types within in vitro and in vivo assays, including conditional gene knockdown in a murine model of brain cancer.

conclusionWe have successfully developed and employed a single vector system that enables Doxycycline regulated RNAi or transgene expression in a variety of in vitro and in vivo model systems. These studies demonstrate the broad application potential of pHUSH for conditional genetic engineering in mammalian cells.

Indexed as

Gene ExpressionGene TargetingGenetic VectorsProtein EngineeringRecombinant ProteinsTransfectionRecombinant Proteins

Identifiers

PMID17897455
PMCPMC2174931

What OpenQuestion holds

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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.