Early Events in Alphavirus Replication Determine the Outcome of Infection is a research paper published in Journal of Virology (2012). On theSindex it has a DataRank of 2.0. It has been cited 55 times, with 48 citing works in its 1-hop citation network.
ABSTRACT Alphaviruses are a group of important human and animal pathogens. They efficiently replicate to high titers in vivo and in many commonly used cell lines of vertebrate origin. They have also evolved effective means of interfering with development of the innate immune response. Nevertheless, most of the alphaviruses are known to induce a type I interferon (IFN) response in vivo . The results of this study demonstrate that the first hours postinfection play a critical role in infection spread and development of the antiviral response. During this window, a balance is struck between virus replication and spread in vertebrate cells and IFN response development. The most important findings are as follows: (i) within the first 2 to 4 h postinfection, alphavirus-infected cells become unable to respond to IFN-β, and this occurs before the virus-induced decrease in STAT1 phosphorylation in response to IFN treatment. (ii) Most importantly, very low, subprotective doses of IFN-β, which do not induce the antiviral response in uninfected cells, have a very strong stimulatory effect on the cells' ability to express type I IFN and activate interferon-stimulated genes during subsequent infection with Sindbis virus (SINV). (iii) Small changes in SINV nsP2 protein affect its ability to inhibit cellular transcription and IFN release. Thus, the balance between type I IFN induction and the ability of the virus to develop further rounds of infection is determined in the first few hours of virus replication, when only low numbers of cells and infectious virus are involved.
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Base Score Contribution
0.604
From this paper's citation signal
Citation Network Contribution
1.4
From 42 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 30% comes from its base citations and 70% from the citation network (42 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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