Activation of a heterologous promoter by human immunodeficiency virus type 1 Tat requires Sp1 and is distinct from the mode of activation by acidic transcriptional activators is a research paper published in Journal of Virology (1993). On theSindex it has a DataRank of 1.6. It has been cited 29 times, with 29 citing works in its 1-hop citation network.
We have previously shown that the Tat protein of the human immunodeficiency virus type 1 (HIV-1) is a modular transcriptional activator that can be targeted upstream of either a synthetic promoter or the intact HIV promoter to activate transcription. This activation was shown to be largely dependent on the presence of consensus binding sites for the cellular transcription factor Sp1. Since the use of heterologous promoters may provide further insight into Tat-mediated transactivation, we have analyzed the transactivation of the thymidine kinase promoter of herpes simplex virus by Tat and by the acidic transcriptional transactivator VP16. The effects of mutations of defined upstream promoter elements show that Tat transactivation is dependent on Sp1 binding sites in a site-specific manner. In contrast, transactivation by the acidic transactivator VP16 is completely independent of any of the defined promoter elements upstream of the TATA box. These results suggest that Tat and the classically defined modular acidic transcriptional activators have different modes of transactivation. In addition, the substitution of the HIV-1 TATA box for the thymidine kinase TATA box substantially increases Tat transactivation, indicating that Tat transactivation may also ultimately involve TATA box-associated cellular transcription factors.
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Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
1.1
From 28 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 32% comes from its base citations and 68% from the citation network (28 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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