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Replication competent HIV-1 viruses that express intragenomic microRNA reveal discrete RNA-interference mechanisms that affect viral replication

Cell & Bioscience volume 1, Article number: 38 (2011) Cite this article

Abstract

Background

It remains unclear whether retroviruses can encode and express an intragenomic microRNA (miRNA). Some have suggested that processing by the Drosha and Dicer enzymes might preclude the viability of a replicating retroviral RNA genome that contains a cis-embedded miRNA. To date, while many studies have shown that lentiviral vectors containing miRNAs can transduce mammalian cells and express the inserted miRNA efficiently, no study has examined the impact on the replication of a lentivirus such as HIV-1 after the deliberate intragenomic insertion of a bona fide miRNA.

Results

We have constructed several HIV-1 molecular clones, each containing a discrete cellular miRNA positioned in Nef. These retroviral genomes express the inserted miRNA and are generally replication competent in T-cells. The inserted intragenomic miRNA was observed to elicit two different consequences for HIV-1 replication. First, the expression of miRNAs with predicted target sequences in the HIV-1 genome was found to reduce viral replication. Second, in one case, where an inserted miRNA was unusually well-processed by Drosha, this processing event inhibited viral replication.

Conclusion

This is the first study to examine in detail the replication competence of HIV-1 genomes that express cis-embedded miRNAs. The results indicate that a replication competent retroviral genome is not precluded from encoding and expressing a viral miRNA.

Background

RNA interference (RNAi) is a regulatory mechanism conserved in organisms from protozoans to mammals [1–3]. This process employs a small single stranded RNA of 20-24 nucleotides in length which is used as a guide-RNA to direct an RNA-induced silencing complex (RISC) containing the argonaut protein and co-factors to the targeted RNA [4–8]. Human cells encode 1,527 miRNA genes [9] that are transcribed into precursor primary miRNAs (pri-miRNAs) which are processed in the nucleus by Drosha into shorter hairpin products called pre-miRNA. The pre-miRNAs are exported into the cytoplasm by Exportin-5, and cleaved by Dicer to generate 20-24 nucleotide RNA duplexes, one strand of which is loaded into the Argonaute containing RISC [10–14]. miRNA-RISC complexes can silence target mRNAs via imperfect complementarity with sequences located in the 5'-UTR [15–17], coding sequences [18, 19], and most commonly the 3'-UTR [2, 20, 21].

The RNAi pathway is pleotropically functional in many diverse biological processes; and its dysregulation leads to a plethora of pathologies including cancers, metabolic disorders, and infectious diseases [22–24]. In plants, RNAi as a host defense against viral infections has been well-established [25–27]. In vetebrates, the efficacy of RNAi based antiviral defense is debated [28–32], although several findings support the importance of this mechanism [33–40]. Additionally, there is substantial evidence that RNAi is employed by cells as a mean to keep mammalian endogenous retroviruses (i.e. retrotransposons) under check [41–46].

Several studies have reported that cellular miRNAs can modulate HIV-1 replication in human cells. For example, it was found that miR-28, miR-125b, miR-150, miR-223 and miR-382 function to induce HIV-1 latency in T-cells [47], and that these same miRNAs conferred resistance to HIV-1 infection in blood monocytes [48]. Furthermore, miR-29 has been shown to silence HIV-1 mRNAs that contain Nef sequences [49–51]. Finally, there is accumulating evidence that some cellular miRNAs may indirectly affect HIV-1 through the regulation of cellular proteins, such as Cyclin T1 and PCAF, which are employed for viral replication [52, 53]. These findings are underscored by studies demonstrating, in models of spreading infection, that the over-expression of proteins involved in RNAi decreases viral replication while the knock-down of these proteins increases viral replication [52, 54–56]

Relevant to their interaction with host cells is the question whether retroviruses can encode viral miRNAs. Some have suggested that the potential vulnerability of RNA-genomes to processing by RNAse III enzymes such as Drosha and Dicer might preclude RNA-viruses from containing cis-embedded miRNAs [37, 57–59]. However, it has been shown that the infecting retroviral genome is apparently shielded by RNA-binding proteins rendering it inaccessible to targeting by RNAi factors [60]. Thus, it remains an open question whether a replication competent retroviral genome can encode a viral miRNA. Relevant to this issue, multiple laboratories have reported the processing of the viral TAR RNA into a miRNA-like non-coding RNA in HIV-1 infected cells [61–65]. The complexity of this multitude of findings cautions that a full understanding of the functions of HIV-1 associated non-coding RNAs awaits further investigation [64].

The current study was undertaken to answer more clearly whether an HIV-1 genome encoding an intragenomic miRNA is precluded from replication competence. We approached this question by creating several HIV-1 molecular genomes that contain discrete cellular miRNAs positioned in the Nef gene. We asked whether the intragenomic presence of the inserted miRNA in HIV-1 prevents viral replication in human cells. Our results showed no absolute preclusion in human cells against the replication of an HIV-1 genome expressing an intragenomic miRNA.

Results

Construction of five discrete HIV-1 molecular clones containing intragenomic miRNA

We began our study by individually cloning five cellular miRNAs separately into the Nef locus of the NL4-3 molecular clone (Figure 1A) [66]. This locus was chosen because it is well-established that the HIV-1 Nef gene is dispensible for viral replication in cultured human cells [66, 67] The five cellular miRNAs, miR28, miR29b, miR138, miR211, and miR326, were selected because each potentially has a complementary target sequence in the HIV-1 genome (Figure 1A). Figure 1A illustrates the imperfect complementarities, with the respective calculated free energies for duplex formation, between the various miRNAs and their putative HIV-1 target sequences. For comparison purposes, several cellular miRNA - mRNA pairs with similarly imperfect complementarities that have been reported in the literature are shown in Figure 1B[68–70]. We also cloned two additional miRNAs, let7a and miR329, into HIV-1 NL4-3. Based on target site prediction, these two miRNAs have no target sequence complementarities in the HIV NL4-3 genome. A final clone was created to incorporate a scrambled version of the let7a sequence. This sequence, designated as let7 scr, cannot fold into an RNA hairpin and is not expected to be processed into a miRNA (Figure 1C). All the chimeric NL4-3-miRNA genomes were checked by restriction digestion to verify a correctly-sized insert (Figure 2), and each clone was directly sequenced to confirm the expected identity.

Figure 1
figure 1

Sequences of miRNAs and their predicted RNA targets. (A) The putative target sites (with indicated ΔGs) for miR28, miR29b, miR138, miR211 and miR326 in the HIV-1 genome are shown. The miRNA sequence is listed at the top, with the seed sequence underlined; the HIV-1 target sequence is listed at the bottom in the 5' to 3' orientation. The numbers indicate the target position in the HIV NDK proviral genome. B) Three examples of published miRNA-mRNA target pairs (with ΔG values) with indicated mismatches or G:U pairings in the seed sequence. C) The primary miRNA sequences of let7a, miR329 and let7 scr which were inserted into the pNL4-3 proviral plasmid.

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Figure 2
figure 2

Cloning of cellular miRNA sequences into NL4-3. Schematic representation (Top) of the NL4-3 genome showing the insertion of the miRNA sequences into the Nef locus. The bottom panel shows PCR analyses of the indicated molecular clones performed to verify insertion. The p398.6 clone was a shuttle vector used in transferring the cloned miRNA into the pNL4-3 full length molecular clone. PCR primers were selected that flank the insertion site in Nef. Wild-type virus (lane 1) yielded a band of 220 bp. The p398.6 shuttle vector (lane 2) yielded a band of 143 bp. Insertion of the miRNA sequences (lanes 3-10) yielded a PCR fragment size commensurate with the size of the insert. Sizes of the molecular weight ladder (M) are indicated on the left.

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Expression of the inserted miRNA from the chimeric NL4-3 miR molecular clones

We evaluated the expression of the inserted miRNAs from the NL4-3-miRNA clones. 293T cells were transfected individually with two micrograms of pNL4-3 let7 scr, pNL4-3 let7a, pNL4-3 miR28, pNL4-3 miR29b, pNL4-3 miR138, pNL4-3 miR211, pNL4-3 miR326, or pNL4-3 miR329. Forty-eight hours after transfection, RNA was extracted from the cells, and miRNA levels were quantified using the QuantiMiR qPCR kit (Systems Biosciences). The copy numbers per cell of let7a, miR28, miR29b, miR138, miR211, miR326 and miR329 were determined based on 10 pg of RNA per cell (Figure 3). We found that the transfection of pNL4-3 miR28, pNL4-3 miR29b, pNL4-3 miR138, pNL4-3 miR326 and pNL4-3 miR329 increased the expression of the corresponding miRNAs by 142, 169, 1134, 236 and 124 copies per cell, respectively. The basal level of miR326 in 293T cells is relatively high at 297 copies per cell; however, the transfection of pNL4-3 miR326 into the cells further increased this amount by 236 copies. The transfection of pNL4-3 miR28 and pNL4-3 miR29b increased the expression of the corresponding miRNAs by 142 and 169 copies, respectively. The transfection of pNL4-3 miR211 increased miR211 copy number by 11,597 per cell (a greater than 100 fold increase). The transfection of pNL4-3 let7a produced the smallest increase in copy number adding only 40 additional copies per cell. Despite individual variabilities, the overall results support that most miRNAs cloned into HIV-1 Nef are expressed on the order of 102 copies or more per cell, with the exception of miR211 which is expressed at a considerably higher level.

Figure 3
figure 3

NL4-3 miR viruses express miRNA in human cells. 293T cells were seeded in a 6-well plate and transfected with 2 μg pNL4-3 let7 scr, pNL4-3 let7a, pNL4-3 miR28, pNL4-3 miR29b, pNL4-3 miR138, pNL4-3 miR211, pNL4-3 miR326 and pNL4-3 miR329. RNA was extracted at 48 hours post transfection and used to determine miRNA levels using qPCR. Copy number per cell was determined based on normalization to miR16 and the assumption of 10 pg of RNA per cell. Each graph shows the expression of a specific miRNA after transfection of the indicated chimeric NL4-3 molecular clone. * indicates a p-value < 0.05 and ** indicates a p-value < 0.01.

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Intragenomic expression of miR28, miR211 and miR326 reduced single cycle HIV-1 infectivity

We next determined if expression of the intragenomic miRNA influences HIV-1 replication. We examined the number of infectious HIV-1 virions produced from transfection into cells of the respective NL4-3-miRNA genomes. Accordingly, 293T cells were transfected individually with two micrograms of pNL4-3 let7 scr, pNL4-3 let7a, pNL4-3 miR28, pNL4-3 miR29b, pNL4-3 miR138, pNL4-3 miR211, pNL4-3 miR326 or pNL4-3 miR329. Forty-eight hours after transfection, supernatants were harvested, assayed for reverse transcriptase activity, and equal RT-amounts were used to infect TZMbl indicator cells [71]. Twenty-four hours after infection, the TZMbl cells were fixed, and the infectivity of the respective samples was determined by β-galactosidase assay. The relative infectivity of each sample was measured by counting the number of blue cells and comparing the value relative to the number produced from infection with the NL4-3 let7 scr virus (Figure 4). Compared to the NL4-3 let7 scr control, no significant difference was seen for the NL4-3 let7a, NL4-3 miR329, NL4-3 miR29b, and NL4-3 miR183 viruses; however, viruses expressing miR28, miR211 and miR326 showed a statistically significant reduction in infectivity (by 49%, 20% and 57%, respectively). The absence of significantly down-regulated replication for the miR29b expressing virus is puzzling because miR29b has been shown previously by others to reduce HIV-1 gene expression [49, 50]. It is possible that different levels of miRNA expression and/or cell type or cell culturing differences account for the divergent experimental results.

Figure 4
figure 4

Analyses of viral stocks generated from transfection in 293T cells. 293T cells were seeded in a 6-well plate and transfected with 2 μg pNL4-3 let7 scr, pNL4-3 let7a, pNL4-3 miR28, pNL4-3 miR29b, pNL4-3 miR138, pNL4-3 miR211, pNL4-3 miR326 and pNL4-3 miR329. Supernatants were harvested at 48 hours post transfection and filtered to remove any contaminating cells. Supernatants were used to infect the HeLa derived TZMbl reporter cell line and to determine reverse transcriptase (RT) activity. Twenty-four hours after infection, the TZMBl cells were fixed and infected cells were visualized by β-galactosidase staining. Infectious units (IU)/RT were determined and graphed relative to NL4-3 let7 scr control. Data shown are the averages of three replicates. ** indicates a p-value < 0.01 and *** indicates a p-value < 0.001 compared to control.

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Reduced infectivity of NL4-3 miR211 and NL4-3 miR326 arises from different mechanisms

The NL4-3 miR21, the NL4-3 miR326 and the NL4-3 miR28 viruses displayed reduced infectivity. We noted that the NL4-3 miR211 virus expressed its corresponding miRNA at a much higher level (>11,000 copies of miR211 per cell) than the NL4-3 miR326 virus (Figure 3). It is possible that an overly efficient processing of a cis-embedded miRNA within a viral RNA genome may deleteriously affect viral replication. Potentially, the reduced replication of the NL4-3 miR211 virus may be explained by this mechanism. By contrast the reduced replication of the NL4-3 miR326 virus may be because the miR326 expressed from Nef led to the silencing of its complementary NL4-3 target sequence (Figure 1A).

To investigate the above possibilities, we employed synthetic miRNA-mimics or anti-miRNAs (antagomir) to effect or obstruct miRNA-mediated silencing. Thus, 293T cells were transfected with pNL4-3 let7 scr molecular clone with or without 100 pM synthetic miR326-mimic; and separately 293T cells were transfected with pNL4-3 miR326 with or without 100 pM synthetic anti-miR326 antagomir. Cell culture supernatants were harvested from these transfections, filtered, and measured for infectious units via infection of TZMbl cells (Figure 5A). We observed that transfected pNL4-3 let7 scr in the setting of transfected synthetic miR326, but not control miRNA mimic, produced a lowered viral infectivity. By contrast, pNL4-3 miR326 in the setting of synthetic miR326 antagomir showed an increased infectivity. These results are compatible with the interpretation that the reduction of NL4-3 miR326 replication is explained likely by miR326-mediated silencing of a complementary viral RNA target sequence.

Figure 5
figure 5

Analyses of the trans expression of miRNAs and antagomirs on the infectivity of the indicated NL4-3 viruses. 293T cells were seeded in a 6-well plate and transfected with 2 μg of proviral plasmid and 100 pM of the indicated RNA. Supernatants were harvested at 24 hours post transfection, filtered and used to determine infectious units as normalized by RT activity. (A) Evaluation of NL4-3 miR326 virus. NL4-3 let7 scr was co-transfected with either control RNA (column 1) or miR326 (column 2). NL4-3 miR326 was co-transfected with either control RNA (column 3) or an anti-miR326 antagomir (column 4). Results are shown relative to the control NL4-3 let7 scr virus. (B) Evaluation of NL4-3 miR211 virus. NL4-3 let7 scr was co-transfected with either control RNA (column 1) or miR211 (column 2). NL4-3 miR211 was co-transfected with either control RNA (column 3) or an anti-miR211 antagomir (column 4). Results are shown relative to the control NL4-3 let7 scr virus. All data are the averages of three replicates. ** indicates a p-value < 0.01.

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We performed a similar analysis using the NL4-3 miR211 virus. In these experiments, 293T cells were transfected with pNL4-3 let7 scr with or without 100 pM of synthetic miR211, and pNL4-3 miR211 was separately transfected into 293T cells with or without 100 pM anti-miR211 antagomir. Next, cell culture supernatants were harvested and measured for infectivity using TZMbl cells (Figure 5B). Interestingly, the production of the NL4-3 let7 scr virus was not silenced by co-transfected synthetic miR211; nor was the infectivity of NL4-3 miR211 virus increased by co-transfected synthetic anti-miR211 antagomirs. These results suggest that the observed reduction in replication of the NL4-3 miR211 virus is unlikely due to miR211-mediated silencing of a putative complementary HIV-1 RNA target sequence (Figure 1A). Further experiments are needed to determine whether the predicted miR211 complementary viral sequence (Figure 1A) is not a competent target or if synthetic miR211 is not efficiently employed as a guide RNA by RISC.

The Drosha and Dicer proteins act sequentially inside the cell to process a precursor miRNA into a mature miRNA. It has been found that the knockdown of either protein affects the production of mature miRNAs. To ask if either Drosha or Dicer contributes to the reduced infectivity of the NL4-3 miR211 virus, we transfected 293T cells separately with siRNA against Dicer, Drosha, or EGFP, as a control. Twenty-four hours after the siRNA transfection, the cells were transfected with pNL4-3 let7 scr, pNL4-3 miR211, or pNL4-3 miR326. Forty-eight hours after the second transfection, cell culture supernatants were harvested, filtered and used to determine the number of infectious units using TZMbl cells (Figure 6A). The successful knockdown of Dicer or Drosha mRNA by the transfected siRNAs was confirmed by quantitative RT-PCR analyses of RNAs extracted from the indicated 293T cells (Figure 6B). We observed that neither the knockdown of Dicer nor Drosha produced appreciable effects on the infectivity of the NL4-3 let7 scr virus. Interestingly, the knockdown of Drosha increased the infectivity of the NL4-3 miR211 virus, while the knockdown of Dicer did not (Figure 6A, compare bar 4 to 5 and 6). In contrast, knockdown of either Dicer or Drosha increased the infectivity of NL4-3 miR326 (Figure 6A, compare bar 7 to 8 and 9). These results are compatible with the interpretation that the reduced replication of the NL4-3 miR211 virus may be due to overly robust nuclear processing by Drosha of viral mRNAs transcribed from the integrated pNL4-3 miR211 provirus. Indeed, qPCR analysis of the cell associated viral RNA confirmed a significant reduction of full-length viral RNA in the pNL4-3 miR211 transfected cells compared to pNL4-3 let7a or pNL4-3 miR326 transfected cells (Additional file 1). Because both Drosha and Dicer knockdowns are expected to reduce the production of mature miR326, the observed increase in the replication of the NL4-3 miR326 virus is consistent with a reduction of miR326-mediated mRNA silencing of this virus.

Figure 6
figure 6

The effect of Dicer and Drosha knockdown on NL4-3 miR326 and NL4-3 miR211 viruses. 293T cells were seeded in a 6-well plate and transfected with 10 pM siRNA against EGFP (control), Dicer, or Drosha. Twenty-four hours post RNA transfection, the cells were transfected with 2 μg of pNL4-3 let7 scr, pNL4-3 miR326 or pNL4-3 miR211. (A) Supernatants were harvested 48 hours post viral transfection and used to determine infectious units as normalized to equal RT values. (B) Total RNA was extracted from transfected 293T cells and used to determine relative expression of Dicer (top panel) and Drosha (lower panel) by quantitative qPCR. Amounts were normalized to GAPDH. Data are shown relative to control (siEGFP) transfection with each virus and are the averages of three replicates. * indicates a p-value < 0.05 and ** indicates a p-value < 0.01.

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Chimeric NL4-3 miR viruses produce a spreading viral infection in cultured cells

Next, we asked if chimeric NL4-3 miRNA viruses that express the inserted intragenomic miRNA support a spreading virus infection in cultured human cells. To answer this question, we generated stocks of NL4-3, NL4-3 let7 scr, NL4-3 let7a, NL4-3 miR211, and NL4-3 miR326 viruses to separately infect Jurkat T-cells (Figure 7). Wild-type NL4-3 virus, NL4-3 let7 scr virus, and NL4-3 let7a virus, all replicated in a spreading manner very similarly. By comparison, the NL4-3 miR326 virus also produced a spreading infection, albeit with a 50% reduction in virion levels as measured by RT on day 8. Interestingly, the NL4-3 miR211 virus was incompetent in promoting a spreading infection. These results indicate that the expression of an intragenomic miRNA within a retrovirus genome does not absolutely preclude replication competence. However, some miRNAs, like miR211, may be unusually good substrates for Drosha cleavage of the cis-inserted miRNA sequences resulting in an adverse outcome on virus replication. (Figure 8).

Figure 7
figure 7

The replication of chimeric NL4-3 miRNA viruses in cultured Jurkat T-cells. Jurkat T-cells were infected with NL4-3, NL4-3 let7 scr, NL4-3 let7a, NL4-3 miR211 or NL4-3 miR326 as normalized by infectious units. Cell culture supernatants were sampled at days 2, 4, 6 and 8 post infection, and viral replication was determined by RT assay. Results shown are the averages of three independent infections per clone. * indicates a p-value < 0.01 and ** indicates a p-value < 0.01 as compared to NL4-3 let7 scr.

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Figure 8
figure 8

Two mechanisms by which expressed intragenomic miRNAs can affect viral replication. (A) An integrated HIV-1 genome is transcribed into viral mRNAs containing the embedded primary miRNA. This viral mRNA with an embedded primary miRNA may be recognized and cleaved in the nucleus by Drosha (in yellow). If Drosha-mediated cleavage is overly efficient, few uncleaved viral RNA would be left available to export into the cytoplasm for translation and/or packaging. This would then result in attenuated or incompetent viral replication like the NL4-3 miR211 virus. (B) For most chimeric NL4-3 miRNA viruses, Drosha processing of the embedded primary miRNA is relatively inefficient. Thus two pools of RNAs (unprocessed viral RNA and processed pre-miRNAs) are exported from the nucleus into the cytoplasm. In the case of the NL4-3 miR326 virus, the primary miR326 is further processed by Dicer into mature miR326 which associates with RISC and silences complementary viral target sequence leading to the attenuation of viral replication.

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Discussion

The ability of mammalian DNA viruses to encode viral miRNAs is well accepted. By contrast, it remains debated whether RNA viruses or retroviruses can encode and express viral miRNAs and remain replication competent. The current study tested the hypothesis that an HIV-1 genome with a cis-embedded miRNA can express the miRNA and propagate a spreading infection in cultured T cells.

To check this hypothesis, we constructed several chimeric HIV-1-miRNA molecular genomes with discrete cellular miRNAs cassetted into the viral Nef gene (Figure 2). For most of these chimeric genomes (NL4-3 miR28, NL4-3 miR29b, NL4-3 miR138, NL4-3 miR326 and NL4-3 miR329), the expression of the Nef-inserted miRNAs was several hundred copies per cell (Figure 3). One of the chimeric HIV-1 miRNA virus, NL4-3 miR211, had an unusually high level (>11,000 copies) of miRNA expression (Figure 3). When the viruses were tested for viral infectivity, three (NL4-3 miR28, NL4-3 miR211, and NL4-3 miR326) showed significantly reduced infectivity when compared to the NL4-3 let 7 scr and NL4-3 let7a control viruses (Figure 4).

The NL4-3 miR211 and NL4-3 miR326 viruses were studied in greater detail to understand the reason(s) for reduced infectivity. We explored two possible explanations. One possibility was that the expressed intragenomic miR211 or miR326 miRNAs recognize a cis-HIV-1 target sequence (Figure 1A) and that this miRNA-viral RNA interaction resulted in silencing, reducing viral infectivity. This explanation could be confirmed if an antagomir targeted against either miR211 or the miR326 would rescue the infectivity of the respective NL4-3 miR211 or pNL4-3 miR326 virus. That the infectivity of NL4-3 miR326, but not NL4-3 miR211, was rescued by a sequence-specific antagomir (Figure 5A) supported the interpretation that miRNA-viral RNA silencing explains the reduced infectivity of the former, but not the latter, virus.

What might explain the reduced infectivity of the NL4-3 miR211 virus? A second possibility is that the decreased infectivity may be due to unusually high efficiency of processing miR211 from NL4-3 transcripts that contain cis-inserted miR211 sequence. It may be that some miRNAs are simply better than other miRNAs as substrates for Drosha, Dicer, or both. If all viral RNAs with embedded-miR211 sequence were cleaved by Drosha or Dicer or both, then such events would severely hamper viral protein expression and could explain the severely attenuated infectivity of the NL4-3 miR211 virus. Indeed, we noted that the knockout of Drosha, but not Dicer, rescued NL4-3 miR211 infectivity (Figure 6A) while either knock down improved the infectivity of the NL4-3 miR326 virus (Figure 6A). Taken together with the findings in Figure 5, the results support that two different mechanisms are operative in reducing NL4-3 miR326 and NL4-3 miR211 viral replication (Figure 8).

Our NL4-3 miR211 virus results agree with a similar observation made by Liu et al. in their study of miRNA expression using a single round lentiviral gene delivery vector [57]. Liu et al. also found that the processing by Drosha of some miRNA-cassettes in lentivectors was one of several mechanisms that reduced particle titers. Because Drosha processing is a nuclear event, the likely scenario for reduced NL4-3 miR211 infectivity is the overly robust cleavage of miR211-embedded HIV-1 RNAs transcribed from the integrated proviral DNA genome (Figure 8), not from the cytoplasmic cleavage of miR211-embedded HIV-1 RNA genome. This interpretation agrees with the earlier observation made by Berkhout and colleagues that the infecting lentiviral RNA genome is well-protected from RNAi-mediated silencing [60].

Finally, we observed that the NL4-3 let7a and the NL4-3 miR326 viruses are capable of a spreading infection in cultured Jurkat T-cells. These results are consistent with no absolute preclusion against a replicating retrovirus encoding and expressing an intragenomic miRNA. Previously, it has been suggested that the proclivity of DNA viruses to replicate in the nucleus and RNA viruses to replicate mostly in the cytoplasm might explain why the former and latter have varying capacity for encoding viral miRNAs. Since a large part of the retroviral life cycle takes place in the nucleus and the genomic retroviral RNA in the cytoplasm is shielded by RNA-binding proteins [60], these processes may explain why some retroviruses like HIV-1 do produce modest levels of processed non-coding viral RNAs [61, 63, 64]. Other retroviruses like BLV are suggested to potentially encode more non-coding viral RNAs [72]. A recent study reports the expression of a miRNA-like small RNA from the highly structured 3' UTR of West Nile Virus and found that this RNA is supportive of viral replication [73]. If true, this report would represent another example of a miRNA or miRNA-like RNA encoded by an RNA virus. These reports, together with our currently demonstrated replication competence of HIV-1 genomes expressing inserted cellular miRNAs, encourage additional investigation into the nuanced miRNA-encoding capabilities of DNA viruses, RNA viruses, and retroviruses.

Methods

Cell culture

293T and TZMbl cells were maintained in DMEM supplemented with L-glutamine, Penicillin/Streptomycin and 10% fetal bovine serum. For transfections, cells were split 24 hours prior to transfection into 6-well plates at 500,000 cells/well. Cells were transfected with lipofectamine LTX (Invitrogen) according to manufacturer's instructions. For production of viral stocks, the supernatant was harvested at 48 hours after transfection. For siRNA transfections, the cells were first transfected with siRNAs and then re-transfected 24 hours later with proviral plasmids. Jurkat T-cell line was maintained in RPMI supplemented with L-glutamine, Penicillin/Streptomycin and 10% fetal bovine serum.

RNA isolation, qRT-PCR and miRNA measurement

RNA was extracted using Trizol reagent (Invitrogen) following manufacturer's protocol. For the determination of mRNA levels, 1 microgram of RNA was used to create cDNA using the SuperScript III First-Strand Synthesis kit (Invitrogen). Following reverse transcription, the samples were diluted 1:50, and 2.5 microliters were used for quantitative PCR in a BioRad CFX96 or CFX384 qPCR machine. All mRNA analyses were normalized to GAPDH. Nucleic acid amplification was tracked by SYBR Green method. For miRNA quantitation, 1 microgram of RNA was processed using QuantiMir (Systems Bioscience Inc.); the resulting tagged cDNA was quantified using miRNA specific primers via qPCR. All miRNA analyses were normalized to the cellular miRNA miR16.

Infections, RT and TZMbl assay

For infection of Jurkat cells, 6 × 106 cells were seeded in 2 ml of media and exposed to the indicated dose of virus supernatant for 24 hours. Cells were then washed and seeded in 10 ml of fresh RPMI, and sampled over time. Replication was measured through use of the RT activity assay: 5 μl of supernatant were added to 50 μl of RT reaction cocktail (60 mM TrisHCl, 75 mM KCl, 5 mM MgCl2, 1.04 mM EDTA, 0.1 NP-40, 5 μg/ml polyA and 0.16 μg/ml oligo dT) and incubated for two hours at 37°C. The reaction mix was spotted on DEAE membrane, washed with SSC, and dried before counting. For TZMbl assay, cells were seeded in a 96 well plate at 15,000 cells/well for 24 hours. Medium was then replaced with fresh RPMI containing serial dilutions of viral supernatant. Twenty-four hours post infection, the cells were washed, fixed and assayed for the presence of β-galactosidase by X-gal enzymatic assay. Blue cells were counted, and the number of infectious units per volume was computed based on the dilution of infecting supernatant.

Sequencing

Cellular DNA from Jurkat T-cells at 8 days post infection was extracted using Qiagen DNA easy kit. PCR for insertion sites was performed, and the resulting fragments were gel purified and cloned into Invitrogen's TopoTA cloning vector before being directly sequenced.

Cloning

For cloning for miRNA into NL4-3, we followed a previously described procedure [66]. In brief, the sequence of each pre-miRNA was determined by consulting the miRBase for the human miRNA [74, 75]. PCR primers were designed to amplify these sequences with the addition of Sal I (5' end) and Xho I (3' end) to each pre-miRNA. PCR products were cloned into TopoTA vector (Invitrogen) and excised with Sal I and Xho I. Pre-miRNA fragments were then inserted into the Xho I site of a ΔNef shuttle vector, screened for orientation and then moved into the full length pNL4-3 proviral vector to produce the NL4-3 miR clones. All clones were sequenced to verify the proper insertion of the pre-miRNA sequence.

Primers and oligonucleotides for cloning

Primers for generation of Sal I/Xho I miRNA precursors - let7a ATCGTCGACTGGGATGAGGTAGTAGGTTGTATAG/ACTCGAGTAGGAAAGACAGTAGATTGTATAG, miR28 ATCGTCGACGGTCCTTGCCCTCAAGGAGCTCACA/ACTCGAGAGTGCCTGCCCTCCAGGAGCTCACA, miR29b ATCGTCGACCUUCAGGAAGCUGGUUUCAUAUGGU/ACTCGAGCCCCCAAGAACACTGATTTCAAATG, miR138 ATCGTCGACCCCTGGCATGGTGTGGTGGGGCAGC/ACTCGAGCCTGTAGTGTGGTGTGGCCCTGGTG, miR211 ATCGTCGACUCACCUGGCCAUGUGACUUGUGGGC/ACTCGAGCTCCGTGCTGTGGGAAGTGACAACT, miR326 ATCGTCGACCTCATCTGTCTGTTGGGCTG/ACTCGAGTGAATCCGCCTCGGGGCTGG, miR329 ATCGTCGACGGTACCTGAAGAGAGGTTTTCTGGG/ACTCGAGGATACTGGAAAAGAGGTTAACCAGG

Oligonucleotides for the generation of let7 scr through annealing - ATCGTCGACGTTGTTTAGTATAGTTCTATTGCCCCAACTACGGCTAATAAGGTATCGTCC

GAAGGTAGTCCTCAATTGAGGATACGGATCTCGAGGCC, GGCCTCGAGATCCGTATCCTCAATTGAGGACTACCTTCGGACGATACCTTATTAGCCGTA

GTTGGGGCAATAGAACTATACTAAACAACGTCGACGAT

References

  1. Agrawal N, Dasaradhi PV, Mohmmed A, Malhotra P, Bhatnagar RK, Mukherjee SK: RNA interference: biology, mechanism, and applications. Microbiol Mol Biol Rev. 2003, 67: 657-685. 10.1128/MMBR.67.4.657-685.2003

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  2. Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004, 116: 281-297. 10.1016/S0092-8674(04)00045-5

    CAS  Article  PubMed  Google Scholar 

  3. Hannon GJ: RNA interference. Nature. 2002, 418: 244-251. 10.1038/418244a

    CAS  Article  PubMed  Google Scholar 

  4. Cenik ES, Zamore PD: Argonaute proteins. Curr Biol. 21: R446-449.

  5. Chendrimada TP, Gregory RI, Kumaraswamy E, Norman J, Cooch N, Nishikura K, Shiekhattar R: TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing. Nature. 2005, 436: 740-744. 10.1038/nature03868

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  6. Chi YH, Semmes OJ, Jeang KT: A proteomic study of TAR-RNA binding protein (TRBP)-associated factors. Cell Biosci. 1: 9.

  7. Ghildiyal M, Zamore PD: Small silencing RNAs: an expanding universe. Nat Rev Genet. 2009, 10: 94-108. 10.1038/nrg2504

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  8. Haase AD, Jaskiewicz L, Zhang H, Laine S, Sack R, Gatignol A, Filipowicz W: TRBP, a regulator of cellular PKR and HIV-1 virus expression, interacts with Dicer and functions in RNA silencing. EMBO Rep. 2005, 6: 961-967. 10.1038/sj.embor.7400509

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  9. miRBase: the microRNA database. http://www.mirbase.org/index.shtml

  10. Bernstein E, Caudy AA, Hammond SM, Hannon GJ: Role for a bidentate ribonuclease in the initiation step of RNA interference. Nature. 2001, 409: 363-366. 10.1038/35053110

    CAS  Article  PubMed  Google Scholar 

  11. Gregory RI, Yan KP, Amuthan G, Chendrimada T, Doratotaj B, Cooch N, Shiekhattar R: The Microprocessor complex mediates the genesis of microRNAs. Nature. 2004, 432: 235-240. 10.1038/nature03120

    CAS  Article  PubMed  Google Scholar 

  12. Lee Y, Ahn C, Han J, Choi H, Kim J, Yim J, Lee J, Provost P, Radmark O, Kim S, Kim VN: The nuclear RNase III Drosha initiates microRNA processing. Nature. 2003, 425: 415-419. 10.1038/nature01957

    CAS  Article  PubMed  Google Scholar 

  13. Sigova A, Rhind N, Zamore PD: A single Argonaute protein mediates both transcriptional and posttranscriptional silencing in Schizosaccharomyces pombe. Genes Dev. 2004, 18: 2359-2367. 10.1101/gad.1218004

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  14. Sontheimer EJ: Assembly and function of RNA silencing complexes. Nat Rev Mol Cell Biol. 2005, 6: 127-138. 10.1038/nrm1568

    CAS  Article  PubMed  Google Scholar 

  15. Easow G, Teleman AA, Cohen SM: Isolation of microRNA targets by miRNP immunopurification. Rna. 2007, 13: 1198-1204. 10.1261/rna.563707

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  16. Lytle JR, Yario TA, Steitz JA: Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5' UTR as in the 3' UTR. Proc Natl Acad Sci USA. 2007, 104: 9667-9672. 10.1073/pnas.0703820104

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  17. Orom UA, Nielsen FC, Lund AH: MicroRNA-10a binds the 5'UTR of ribosomal protein mRNAs and enhances their translation. Mol Cell. 2008, 30: 460-471. 10.1016/j.molcel.2008.05.001

    Article  PubMed  Google Scholar 

  18. Hafner M, Landthaler M, Burger L, Khorshid M, Hausser J, Berninger P, Rothballer A, Ascano M, Jungkamp AC, Munschauer M: Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell. 141: 129-141.

  19. Rigoutsos I: New tricks for animal microRNAS: targeting of amino acid coding regions at conserved and nonconserved sites. Cancer Res. 2009, 69: 3245-3248. 10.1158/0008-5472.CAN-09-0352

    CAS  Article  PubMed  Google Scholar 

  20. Olsen PH, Ambros V: The lin-4 regulatory RNA controls developmental timing in Caenorhabditis elegans by blocking LIN-14 protein synthesis after the initiation of translation. Dev Biol. 1999, 216: 671-680. 10.1006/dbio.1999.9523

    CAS  Article  PubMed  Google Scholar 

  21. Doench JG, Sharp PA: Specificity of microRNA target selection in translational repression. Genes Dev. 2004, 18: 504-511. 10.1101/gad.1184404

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  22. Nicolas FE, Lopez-Martinez AF: MicroRNAs in human diseases. Recent Pat DNA Gene Seq. 4: 142-154.

  23. Sayed D, Abdellatif M: MicroRNAs in development and disease. Physiol Rev. 91: 827-887.

  24. Yeung ML, Jeang KT: MicroRNAs and Cancer Therapeutics. Pharm Res. 3000.

  25. Llave C: Virus-derived small interfering RNAs at the core of plant-virus interactions. Trends Plant Sci. 15: 701-707.

  26. Pantaleo V: Plant RNA silencing in viral defence. Adv Exp Med Biol. 722: 39-58.

  27. Qu F: Antiviral role of plant-encoded RNA-dependent RNA polymerases revisited with deep sequencing of small interfering RNAs of virus origin. Mol Plant Microbe Interact. 23: 1248-1252.

  28. Grundhoff A, Sullivan CS: Virus-encoded microRNAs. Virology. 411: 325-343.

  29. Lei X, Bai Z, Ye F, Huang Y, Gao SJ: Regulation of herpesvirus lifecycle by viral microRNAs. Virulence. 1: 433-435.

  30. Dhuruvasan K, Sivasubramanian G, Pellett PE: Roles of host and viral microRNAs in human cytomegalovirus biology. Virus Res. 157: 180-192.

  31. Plaisance-Bonstaff K, Renne R: Viral miRNAs. Methods Mol Biol. 721: 43-66.

  32. Boss IW, Renne R: Viral miRNAs: tools for immune evasion. Curr Opin Microbiol. 13: 540-545.

  33. Bivalkar-Mehla S, Vakharia J, Mehla R, Abreha M, Kanwar JR, Tikoo A, Chauhan A: Viral RNA silencing suppressors (RSS): novel strategy of viruses to ablate the host RNA interference (RNAi) defense system. Virus Res. 155: 1-9.

  34. de Vries W, Berkhout B: RNAi suppressors encoded by pathogenic human viruses. Int J Biochem Cell Biol. 2008, 40: 2007-2012. 10.1016/j.biocel.2008.04.015

    CAS  Article  PubMed  Google Scholar 

  35. Ding SW: RNA-based antiviral immunity. Nat Rev Immunol. 10: 632-644.

  36. Grassmann R, Jeang KT: The roles of microRNAs in mammalian virus infection. Biochim Biophys Acta. 2008, 1779: 706-711.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  37. Haasnoot J, Berkhout B: RNAi and cellular miRNAs in infections by mammalian viruses. Methods Mol Biol. 721: 23-41.

  38. Haasnoot J, Westerhout EM, Berkhout B: RNA interference against viruses: strike and counterstrike. Nat Biotechnol. 2007, 25: 1435-1443. 10.1038/nbt1369

    CAS  Article  PubMed  Google Scholar 

  39. Houzet L, Jeang KT: MicroRNAs and human retroviruses. Biochim Biophys Acta. 3000.

  40. Song L, Gao S, Jiang W, Chen S, Liu Y, Zhou L, Huang W: Silencing suppressors: viral weapons for countering host cell defenses. Protein Cell. 2: 273-281.

  41. Yang N, Kazazian HH: L1 retrotransposition is suppressed by endogenously encoded small interfering RNAs in human cultured cells. Nat Struct Mol Biol. 2006, 13: 763-771. 10.1038/nsmb1141

    CAS  Article  PubMed  Google Scholar 

  42. Hakim ST, Alsayari M, McLean DC, Saleem S, Addanki KC, Aggarwal M, Mahalingam K, Bagasra O: A large number of the human microRNAs target lentiviruses, retroviruses, and endogenous retroviruses. Biochem Biophys Res Commun. 2008, 369: 357-362. 10.1016/j.bbrc.2008.02.025

    CAS  Article  PubMed  Google Scholar 

  43. Watanabe T, Takeda A, Tsukiyama T, Mise K, Okuno T, Sasaki H, Minami N, Imai H: Identification and characterization of two novel classes of small RNAs in the mouse germline: retrotransposon-derived siRNAs in oocytes and germline small RNAs in testes. Genes Dev. 2006, 20: 1732-1743. 10.1101/gad.1425706

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  44. Carmell MA, Girard A, van de Kant HJ, Bourc'his D, Bestor TH, de Rooij DG, Hannon GJ: MIWI2 is essential for spermatogenesis and repression of transposons in the mouse male germline. Dev Cell. 2007, 12: 503-514. 10.1016/j.devcel.2007.03.001

    CAS  Article  PubMed  Google Scholar 

  45. Calabrese JM, Seila AC, Yeo GW, Sharp PA: RNA sequence analysis defines Dicer's role in mouse embryonic stem cells. Proc Natl Acad Sci USA. 2007, 104: 18097-18102. 10.1073/pnas.0709193104

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  46. De Fazio S, Bartonicek N, Di Giacomo M, Abreu-Goodger C, Sankar A, Funaya C, Antony C, Moreira PN, Enright AJ, O'Carroll D: The endonuclease activity of Mili fuels piRNA amplification that silences LINE1 elements. Nature.

  47. Huang J, Wang F, Argyris E, Chen K, Liang Z, Tian H, Huang W, Squires K, Verlinghieri G, Zhang H: Cellular microRNAs contribute to HIV-1 latency in resting primary CD4+ T lymphocytes. Nat Med. 2007, 13: 1241-1247. 10.1038/nm1639

    CAS  Article  PubMed  Google Scholar 

  48. Wang X, Ye L, Hou W, Zhou Y, Wang YJ, Metzger DS, Ho WZ: Cellular microRNA expression correlates with susceptibility of monocytes/macrophages to HIV-1 infection. Blood. 2009, 113: 671-674. 10.1182/blood-2008-09-175000

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  49. Ahluwalia JK, Khan SZ, Soni K, Rawat P, Gupta A, Hariharan M, Scaria V, Lalwani M, Pillai B, Mitra D, Brahmachari SK: Human cellular microRNA hsa-miR-29a interferes with viral nef protein expression and HIV-1 replication. Retrovirology. 2008, 5: 117. 10.1186/1742-4690-5-117

    PubMed Central  Article  PubMed  Google Scholar 

  50. Hariharan M, Scaria V, Pillai B, Brahmachari SK: Targets for human encoded microRNAs in HIV genes. Biochem Biophys Res Commun. 2005, 337: 1214-1218. 10.1016/j.bbrc.2005.09.183

    CAS  Article  PubMed  Google Scholar 

  51. Nathans R, Chu CY, Serquina AK, Lu CC, Cao H, Rana TM: Cellular microRNA and P bodies modulate host-HIV-1 interactions. Mol Cell. 2009, 34: 696-709. 10.1016/j.molcel.2009.06.003

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  52. Triboulet R, Mari B, Lin YL, Chable-Bessia C, Bennasser Y, Lebrigand K, Cardinaud B, Maurin T, Barbry P, Baillat V: Suppression of microRNA-silencing pathway by HIV-1 during virus replication. Science. 2007, 315: 1579-1582. 10.1126/science.1136319

    CAS  Article  PubMed  Google Scholar 

  53. Sung TL, Rice AP: miR-198 inhibits HIV-1 gene expression and replication in monocytes and its mechanism of action appears to involve repression of cyclin T1. PLoS Pathog. 2009, 5: e1000263. 10.1371/journal.ppat.1000263

    PubMed Central  Article  PubMed  Google Scholar 

  54. Chable-Bessia C, Meziane O, Latreille D, Triboulet R, Zamborlini A, Wagschal A, Jacquet JM, Reynes J, Levy Y, Saib A: Suppression of HIV-1 replication by microRNA effectors. Retrovirology. 2009, 6: 26. 10.1186/1742-4690-6-26

    PubMed Central  Article  PubMed  Google Scholar 

  55. Matskevich AA, Moelling K: Dicer is involved in protection against influenza A virus infection. J Gen Virol. 2007, 88: 2627-2635. 10.1099/vir.0.83103-0

    CAS  Article  PubMed  Google Scholar 

  56. Otsuka M, Jing Q, Georgel P, New L, Chen J, Mols J, Kang YJ, Jiang Z, Du X, Cook R: Hypersusceptibility to vesicular stomatitis virus infection in Dicer1-deficient mice is due to impaired miR24 and miR93 expression. Immunity. 2007, 27: 123-134. 10.1016/j.immuni.2007.05.014

    CAS  Article  PubMed  Google Scholar 

  57. Liu YP, Vink MA, Westerink JT, Ramirez de Arellano E, Konstantinova P, Ter Brake O, Berkhout B: Titers of lentiviral vectors encoding shRNAs and miRNAs are reduced by different mechanisms that require distinct repair strategies. Rna. 2010, 16: 1328-1339. 10.1261/rna.1887910

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  58. Poluri A, Sutton RE: Titers of HIV-based vectors encoding shRNAs are reduced by a dicer-dependent mechanism. Mol Ther. 2008, 16: 378-386. 10.1038/sj.mt.6300370

    CAS  Article  PubMed  Google Scholar 

  59. ter Brake O, Berkhout B: Lentiviral vectors that carry anti-HIV shRNAs: problems and solutions. J Gene Med. 2007, 9: 743-750. 10.1002/jgm.1078

    CAS  Article  PubMed  Google Scholar 

  60. Westerhout EM, ter Brake O, Berkhout B: The virion-associated incoming HIV-1 RNA genome is not targeted by RNA interference. Retrovirology. 2006, 3: 57. 10.1186/1742-4690-3-57

    PubMed Central  Article  PubMed  Google Scholar 

  61. Klase Z, Kale P, Winograd R, Gupta MV, Heydarian M, Berro R, McCaffrey T, Kashanchi F: HIV-1 TAR element is processed by Dicer to yield a viral micro-RNA involved in chromatin remodeling of the viral LTR. BMC Mol Biol. 2007, 8: 63. 10.1186/1471-2199-8-63

    PubMed Central  Article  PubMed  Google Scholar 

  62. Klase Z, Winograd R, Davis J, Carpio L, Hildreth R, Heydarian M, Fu S, McCaffrey T, Meiri E, Ayash-Rashkovsky M: HIV-1 TAR miRNA protects against apoptosis by altering cellular gene expression. Retrovirology. 2009, 6: 18. 10.1186/1742-4690-6-18

    PubMed Central  Article  PubMed  Google Scholar 

  63. Ouellet DL, Plante I, Landry P, Barat C, Janelle ME, Flamand L, Tremblay MJ, Provost P: Identification of functional microRNAs released through asymmetrical processing of HIV-1 TAR element. Nucleic Acids Res. 2008, 36: 2353-2365. 10.1093/nar/gkn076

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  64. Yeung ML, Bennasser Y, Watashi K, Le SY, Houzet L, Jeang KT: Pyrosequencing of small non-coding RNAs in HIV-1 infected cells: evidence for the processing of a viral-cellular double-stranded RNA hybrid. Nucleic Acids Res. 2009, 37: 6575-6586. 10.1093/nar/gkp707

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  65. Purzycka KJ, Adamiak RW: The HIV-2 TAR RNA domain as a potential source of viral-encoded miRNA. A reconnaissance study. Nucleic Acids Symp Ser (Oxf). 2008, 511-512.

  66. Smith SM, Markham RB, Jeang KT: Conditional reduction of human immunodeficiency virus type 1 replication by a gain-of-herpes simplex virus 1 thymidine kinase function. Proc Natl Acad Sci USA. 1996, 93: 7955-7960. 10.1073/pnas.93.15.7955

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  67. Kim S, Ikeuchi K, Byrn R, Groopman J, Baltimore D: Lack of a negative influence on viral growth by the nef gene of human immunodeficiency virus type 1. Proc Natl Acad Sci USA. 1989, 86: 9544-9548. 10.1073/pnas.86.23.9544

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  68. Bartel DP: MicroRNAs: target recognition and regulatory functions. Cell. 2009, 136: 215-233. 10.1016/j.cell.2009.01.002

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  69. Miura S, Nozawa M, Nei M: Evolutionary changes of the target sites of two microRNAs encoded in the Hox gene cluster of Drosophila and other insect species. Genome Biol Evol. 3: 129-139.

  70. Vella MC, Choi EY, Lin SY, Reinert K, Slack FJ: The C. elegans microRNA let-7 binds to imperfect let-7 complementary sites from the lin-41 3'UTR. Genes Dev. 2004, 18: 132-137. 10.1101/gad.1165404

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  71. Wei X, Decker JM, Liu H, Zhang Z, Arani RB, Kilby JM, Saag MS, Wu X, Shaw GM, Kappes JC: Emergence of resistant human immunodeficiency virus type 1 in patients receiving fusion inhibitor (T-20) monotherapy. Antimicrob Agents Chemother. 2002, 46: 1896-1905. 10.1128/AAC.46.6.1896-1905.2002

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  72. Martin F, Bangham CR, Ciminale V, Lairmore MD, Murphy EL, Switzer WM, Mahieux R: Conference Highlights of the 15th International Conference on Human Retrovirology: HTLV and Related Retroviruses, 4-8 June 2011, Leuven, Gembloux, Belgium. Retrovirology. 8: 86.

  73. Hussain M, Torres S, Schnettler E, Funk A, Grundhoff A, Pijlman GP, Khromykh AA, Asgari S: West Nile virus encodes a microRNA-like small RNA in the 3' untranslated region which up-regulates GATA4 mRNA and facilitates virus replication in mosquito cells. Nucleic Acids Res. PMID: 22080551.

  74. Griffiths-Jones S: The microRNA Registry. Nucleic Acids Res. 2004, 32: D109-111. 10.1093/nar/gkh023

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  75. Kozomara A, Griffiths-Jones S: miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res. 39: D152-157.

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  1. Molecular Virology Section, Laboratory of Molecular Microbiology, National Institute of Allergy and Infectious Diseases, Bethesda, MD, 20892, USA

    Zachary Klase, Laurent Houzet & Kuan-Teh Jeang

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  1. Zachary Klase
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  2. Laurent Houzet
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  3. Kuan-Teh Jeang
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Correspondence to Kuan-Teh Jeang.

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The authors declare that they have no competing interests.

Authors' contributions

ZK conceived of the study, participated in its design, performed the molecular analyses and wrote the manuscript. LH participated in the study design and assisted with the qPCR analysis. KTJ oversaw the work, the design, and the conception of the experiments and wrote the manuscript. All authors read and approved the final manuscript, and support was from NIAID intramural funding.

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Additional file 1:Increased processing of viral genome-length RNAs in pNL4-3 miR211 transfected cells. 293T cells were seeded in a 6-well plate and transfected with 2 μg pNL4-3 let7a, pNL4-3 miR211, or pNL4-3. Total RNA was extracted from the cells at 48 hours post transfection. RNA was treated with DNase, and cDNA was made by reverse transcriptase reaction using either poly dT (dT) or random hexamer (hexamer) as a primer. qPCR was performed on the cDNA to measure the presence of Gag RNA. In this assay, poly dT is anticipated to quantify genome-length Gag RNAs, while random hexamer will identify all genome-length as well as subgenome-length Gag RNAs. Quantities were normalized by GAPDH and shown relative to pNL4-3 let7a. * indicates a p-value < 0.01, ** indicates a p-value < 0.01, and *** indicates a p-value <0.001 as compared to NL4-3 let7a. (PDF 109 KB)

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Klase, Z., Houzet, L. & Jeang, KT. Replication competent HIV-1 viruses that express intragenomic microRNA reveal discrete RNA-interference mechanisms that affect viral replication. Cell Biosci 1, 38 (2011). https://doi.org/10.1186/2045-3701-1-38

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Keywords

  • miRNA
  • HIV-1
  • RNA interference
  • viral replication
  • miR326
  • miR211

Cell & Bioscience

ISSN: 2045-3701

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