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Cited by 263

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Identification of immediate early genes from herpes simplex virus that transactivate the virus thymidine kinase gene.

Open access
Gelman, I H, Silverstein, S·1985·Proceedings of the National Academy of Sciences

Abstract

A HeLa cell transient-expression assay system was used to determine if isolated immediate early (alpha) genes from herpes simplex virus (HSV) could transcriptionally activate (transactivate) the type 1 (HSV-1) thymidine kinase (TK) gene [an early (beta) gene]. Cells transfected with the TK gene alone transcribed very low levels of TK RNA. Cells cotransfected with plasmids bearing the sequences that encode the alpha-gene product infected cell protein 0 or 4 (ICP0 or ICP4) and the TK gene faithfully transcribed high levels of TK RNA. The plasmid containing the sequences encoding ICP0 was a more potent transactivator than the plasmid containing the sequences for ICP4.

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Crossref · 10.1073/pnas.82.16.5265

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Metadata

Authors
Gelman, I. H., & Silverstein, S.
Venue
Proceedings of the National Academy of Sciences
Published
1985-08
Volume
82
Issue
16
Pages
5265-5269
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2110360181
Cited by
263
References
26
FWCI
16.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of immediate early genes from herpes simplex virus that transactivate the virus thymidine kinase gene. https://app.cochat.ai/papers/10.1073/pnas.82.16.5265
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Gelman, I. H., & Silverstein, S. (1985). Identification of immediate early genes from herpes simplex virus that transactivate the virus thymidine kinase gene. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.82.16.5265

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.