1998
DOI: 10.1038/sj.gt.3300754
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Gene transfer using a disabled herpes virus vector containing the EMCV IRES allows multiple gene expression in vitro and in vivo

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Cited by 25 publications
(13 citation statements)
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References 6 publications
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“…27,[41][42][43][44] In this study, to identify novel IRES sequences that can improve expression vectors, we conducted in vitro and in vivo screening of 13 IRES elements from viral or cellular origin.…”
Section: Discussionmentioning
confidence: 99%
“…27,[41][42][43][44] In this study, to identify novel IRES sequences that can improve expression vectors, we conducted in vitro and in vivo screening of 13 IRES elements from viral or cellular origin.…”
Section: Discussionmentioning
confidence: 99%
“…) Replication-incompetent viruses. Virus strain 17ϩ/27Ϫ/pR19lacZ has previously been described (42) and contains a CMV-lacZ cassette inserted into the LAT region (as shown in Fig. 5) of HSV strain 17ϩ from which ICP27 has been deleted.…”
Section: Methodsmentioning
confidence: 99%
“…tested for gene delivery to DRGs following footpad and sciatic nerve inoculation. These viruses either had ICP27 alone deleted, had ICP27 and ICP34.5 deleted and had the in1814 vmw65 mutation; or had ICP27, ICP4, and ICP34.5 deleted and had the in1814 vmw65 mutation (40,42) (Fig. 10A).…”
Section: Vol 74 2000mentioning
confidence: 99%
“…Often, particularly in the study of in situ protein-protein interactions, an experimental protocol depends on the co-expression of two genes in the same cell. While vectors have been described that express multiple gene products either using separate expression cassettes (4) or as multiple genes driven by the same promoter using an internal ribosome entry site (8), these methods do not allow the combinatorial flexibility afforded by multiple infection with separate vectors. An implicit assumption in co-infection experiments is that the expression of each virally introduced gene is independent of the other; the proportion of singly and doubly infected cells would then be expected to fit a binomial distribution.…”
Section: Introductionmentioning
confidence: 99%