<i>In vitro</i> studies reveal that different modes of initiation on HIV‐1 mRNA have different levels of requirement for eukaryotic initiation factor 4F is a research paper published in The FEBS Journal (2012). On theSindex it has a DataRank of 1.1. It has been cited 37 times, with 22 citing works in its 1-hop citation network.
Expression of the two isoforms p55 and p40 of HIV‐1 Gag proteins relies on distinct translation initiation mechanisms, a cap‐dependent initiation and two internal ribosome entry sites (IRESs). The regulation of these processes is complex and remains poorly understood. This study was focused on the influence of the 5′‐UTR and on the requirement for the eukaryotic initiation factor (eIF)4F complex components. By using an in vitro system, we showed substantial involvement of the 5′‐UTR in the control of p55 expression. This highly structured 5′‐UTR requires the eIF4F complex, especially RNA helicase eIF4A, which mediates initiation at the authentic AUG codon. In addition, the 5′‐UTR regulates expression in an RNA concentration‐dependent manner, with a high concentration of RNA triggering specific reduction of full‐length Gag p55 production. HIV‐1 genomic RNA also has the ability to use a strong IRES element located in the gag coding region. We show that this mechanism is particularly efficient, and that activity of this IRES is only poorly dependent on RNA helicase eIF4A when the viral 5′‐UTR is removed. HIV‐1 genomic mRNA exhibits in vitro translational features that allow the expression of Gag p55 protein by different mechanisms that involve different requirements for eIF4E, eIF4G, and eIF4A. This suggests that HIV‐1 could adapt to its mode of translation according to the availability of the initiation factors in the infected cell.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.546
From this paper's citation signal
Citation Network Contribution
0.558
From 20 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 49% comes from its base citations and 51% from the citation network (20 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.
Click a node to highlight its connections. Use scroll to zoom. Drag to pan.