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. 2021 Mar 10;17(3):e1009421. doi: 10.1371/journal.ppat.1009421

N6-methyladenosine modification of HIV-1 RNA suppresses type-I interferon induction in differentiated monocytic cells and primary macrophages

Shuliang Chen 1,¤a,#, Sameer Kumar 2,#, Constanza E Espada 2,#, Nagaraja Tirumuru 1,¤b, Michael P Cahill 2, Lulu Hu 3,¤c, Chuan He 3,4, Li Wu 2,*
Editor: David T Evans5
PMCID: PMC7984636  PMID: 33690734

Abstract

N6-methyladenosine (m6A) is a prevalent RNA modification that plays a key role in regulating eukaryotic cellular mRNA functions. RNA m6A modification is regulated by two groups of cellular proteins, writers and erasers that add or remove m6A, respectively. HIV-1 RNA contains m6A modifications that modulate viral infection and gene expression in CD4+ T cells. However, it remains unclear whether m6A modifications of HIV-1 RNA modulate innate immune responses in myeloid cells that are important for antiviral immunity. Here we show that m6A modification of HIV-1 RNA suppresses the expression of antiviral cytokine type-I interferon (IFN-I) in differentiated human monocytic cells and primary monocyte-derived macrophages. Transfection of differentiated monocytic U937 cells with HIV-1 RNA fragments containing a single m6A-modification significantly reduced IFN-I mRNA expression relative to their unmodified RNA counterparts. We generated HIV-1 with altered m6A levels of RNA by manipulating the expression of the m6A erasers (FTO and ALKBH5) or pharmacological inhibition of m6A addition in virus-producing cells, or by treating HIV-1 RNA with recombinant FTO in vitro. HIV-1 RNA transfection or viral infection of differentiated U937 cells and primary macrophages demonstrated that HIV-1 RNA with decreased m6A levels enhanced IFN-I expression, whereas HIV-1 RNA with increased m6A modifications had opposite effects. Our mechanistic studies indicated that m6A of HIV-1 RNA escaped retinoic acid-induced gene I (RIG-I)-mediated RNA sensing and activation of the transcription factors IRF3 and IRF7 that drive IFN-I gene expression. Together, these findings suggest that m6A modifications of HIV-1 RNA evade innate immune sensing in myeloid cells.

Author summary

HIV-1 is known as a weak inducer of antiviral cytokines including IFN-I, but it is unclear how HIV-1 evades innate immunity. Different types of RNA modifications including m6A within the HIV-1 genome modulate viral replication; however, the role of m6A modifications of HIV-1 RNA in regulating innate immune responses remains elusive. Myeloid cells including macrophages are HIV-1 target cells and critical for generating antiviral immunity. In this study, we aimed to investigate the role of m6A modifications of HIV-1 RNA in regulating innate immune responses in myeloid cells. We found that m6A-modified HIV-1 RNA suppresses IFN-I expression in differentiated monocytic cells and primary macrophages. Our data suggest that the cellular protein RIG-I contributes to innate sensing of m6A-defective HIV-1 RNA in differentiated monocytic cells. Our findings provide new insights into the functions and mechanisms of m6A modifications of HIV-1 RNA in regulating innate immune sensing and responses in myeloid cells.

Introduction

Transcriptional modification of RNA in cells plays a crucial role in its stability, transportation, processing and thus regulation of gene expression. There are more than 160 RNA modifications identified in eukaryotes [1]. Methylation at the N6 position of adenosine (m6A) is a post-transcriptional RNA modification in internal and untranslated regions (UTRs) of eukaryotic mRNAs, microRNAs, small nuclear RNAs and long noncoding RNAs, which is important for RNA localization, stability and protein translation [15]. This methylation is controlled by two types of protein factors in cells, comprised of the writer complex [(methyltransferase-like 3 (METTL3) and METTL14] to incorporate methylation, and the erasers [fat mass and obesity associated protein (FTO) and α-ketoglutarate dependent dioxygenase AlkB homolog 5 (ALKBH5)] to remove m6A modification [69]. The RNA m6A modification is reversible and specifically recognized by a family of host proteins named m6A readers. The binding of m6A-modified RNA with the readers can significantly affect RNA trafficking, stability, localization, and translation [3, 8, 10].

RNA m6A modification has been discovered in several RNA and DNA viruses over the past 40 years, although its effects on the viral lifecycle remain not fully understood [1116]. Increasing evidence suggests that m6A modification plays a major role in the regulation of viral replication and gene expression [17]. Recent advancements of RNA-sequencing based strategies expanded the identification and characterization of m6A to several clinically significant human pathogens [17], including HIV-1 [1820]. Multiple m6A sites have been identified across the HIV-1 genomic RNA, although the m6A sites vary from different studies likely due to distinctive approaches and cell types used in these investigations [1820]. By modulating protein expression of m6A writers, erasers and readers in HIV-1 producer and target cells, several studies demonstrated the importance of the m6A pathway in regulating HIV-1 replication and viral protein expression in CD4+ T cell lines and primary CD4+ T cells [1822]. Moreover, HIV-1 infection of CD4+ T cells upregulates m6A levels of cellular RNA [23] and HIV-1 protease cleaves the antiviral m6A reader protein YTHDF3 in the viral particle [22]. Together, these studies indicate the complex interplay of the m6A pathway and host cells during HIV-1 infection.

The m6A pathway also plays an essential role in regulating the immune system [24]. In the early stage of virus infections, sensing viral nucleic acids in infected cells is a critical step to induce innate immune responses that can lead to the production of antiviral cytokines, including IFN-I (mainly IFN-α and IFN-β) [25]. Genomic RNA of HIV-1 and other viruses can be detected by cytosolic sensors, including retinoic acid-induced gene I (RIG-I) and melanoma differentiation-associated gene 5 (MDA5) [25]. Detection of viral RNA by these sensors triggers activation of several cellular kinases, which phosphorylate interferon regulatory factors 3 and 7 (IRF3 and IRF7) to induce IFN-I expression [26, 27]. HIV-1 has been known as a weak inducer of host innate immune responses [28, 29], and it evades immune recognition by direct targeting of immune pathways, interacting with cellular proteins, or masking the viral genome from the cytosolic sensors [28, 30, 31]. HIV-1 RNA can be sensed by both RIG-I and MDA5, whereas it has evolved multiple strategies to escape innate immune surveillance [27, 32].

Myeloid cells, including the monocyte precursors and their differentiated macrophages and dendritic cells, are among the first targets during HIV-1 infection and transmission [3234]. Myeloid cells are important for viral pathogen sensing and inflammation caused by HIV-1 infection [35, 36]. A recent study showed that 2′-O-methylation in HIV-1 RNA prevents MDA5-mediated sensing in monocytic cell lines, primary macrophages and dendritic cells, thereby reducing IFN-I induction and innate immune responses to HIV-1 [37]. However, the role of m6A in regulating innate immune responses to HIV-1 RNA and the underlying mechanisms have not been defined, which represents a significant knowledge gap in HIV-1 biology.

Here we show that m6A modifications of HIV-1 RNA reduce viral RNA sensing and the induction of IFN-I in differentiated monocytic cells and primary monocyte-derived macrophages (MDM). We observed that m6A-deficient HIV-1 RNA oligos induced higher IFN-I expression through the RIG-I-mediated pathway in differentiated monocytic cells, suggesting that m6A modification of viral RNA is an immune evasion strategy of HIV-1. These findings implicate that m6A modifications of HIV-1 RNA contribute to the regulation of innate immune responses to viral infection.

Results

A single m6A modification of HIV-1-derived RNA oligos inhibits IFN-I induction in U937 cells

To examine the effect of m6A modification of HIV-1 RNA on IFN-I induction, we designed two different RNA oligos corresponding to two fragments of HIV-1 genome each with or without a single m6A modification [21] for transfection experiments (Fig 1A). We have reported that these two m6A modifications in the 5′ untranslated regions (UTR) of HIV-1 genome are important for HIV-1 RNA binding to the m6A reader proteins (YTH domain family proteins 1–3) in vitro and viral replication in cells [21]. The m6A-modified RNA oligos 1 and 2 (both were 42 mer) contained a single m6A-modified adenosine in the conserved GGACU motif of the HIV-1 (NL4-3 strain) genome [21]. We confirmed the m6A modification of these oligos by dot immunoblotting with equal amounts of RNAs using an m6A-specific antibody (Fig 1B and 1C). To mimic cellular responses to viral RNA in non-dividing macrophages, we differentiated monocytic U937 cells with phorbol 12-myristate 13-acetate (PMA) before transfection with the RNA oligos (Fig 1A). Compared to unmethylated control (Ctrl) RNA, m6A-modified RNA oligo 1 induced 3- to 4-fold lower (P < 0.005) levels of IFN-α and IFN-β mRNA in transfected U937 cells (Fig 1D). Similar results were obtained with transfection of oligo 2, although the effects were less significant compared to oligo 1 (Fig 1E). These results suggest that m6A modification of the 5′ UTR of HIV-1 RNA fragments can suppress IFN-I induction in differentiated U937 cells.

Fig 1. A single m6A modification of HIV-1-derived RNA oligos inhibits IFN-I induction in differentiated U937 cells.

Fig 1

(A) A schematic of the experimental approach. (B) HIV-1 5′ UTR (nt. 235–281) RNA oligo 1 (50 ng), (C) HIV-1 5′ UTR (nt. 176–217) RNA oligo 2 (200 ng), or (F) sequence-scrambled oligo 2 (200 ng) with (m6A) or without (Ctrl) m6A modification were subjected to m6A dot-blot analysis. Methylene blue (MB) staining was used as an RNA loading control. (D) HIV-1 RNA oligo 1, (E) HIV-1 RNA oligo 2, or (G) sequence-scrambled oligo 2 (250 ng) with or without m6A modification were transfected into PMA-differentiated U937 cells (5×105). At 16 hr post-transfection, IFN-α and IFN-β mRNA levels were measured by RT-qPCR. Data shown in D and E are means ± S.D. of three independent experiments. Data of panel G represent means ± S.D. of three biological replicates in one of two independent experiments. Un-paired t-test was used for statistical analysis. * P < 0.05, ** P < 0.005, compared with mock or Ctrl samples as indicated.

To examine whether the sequence of RNA oligos is important for m6A-mediated suppression of IFN-I expression in differentiated U937 cells, we designed a different pair of RNA oligo with or without a single m6A modification based on the scrambled sequence of HIV-1 RNA oligo 2. BLAST search of this 42-mer random RNA sequence through the NCBI nucleotide sequence database confirmed no significant similarity. We confirmed the m6A modification of sequence-scrambled RNA oligo 2 by m6A dot immunoblotting (Fig 1F). We then transfected PMA-differentiated U937 cells with these RNA oligos containing random sequences to measure IFN-I mRNA induction. Mock transfection was used as a background control and poly (I:C) transfection was used as a positive control. Compared to mock transfection, sequence-scrambled control oligo 2 (Ctrl) without m6A modification induced 2-fold higher IFN-I mRNA expression, while m6A-modified scrambled oligo 2 showed a background level (Fig 1G). Compared to the mock transfection, poly (I:C) transfection of U937 cells induced approximately 500- and 160-fold higher IFN-α and IFN-β mRNA levels (P < 0.05), respectively (Fig 1G). These results indicated that IFN-I mRNA expression induced by m6A-deficient RNA oligos is likely independent of RNA sequence, suggesting a potentially general mechanism of m6A modifications of viral RNA in evading innate immune responses to viral infection.

Reduction of m6A modifications of HIV-1 RNA by FTO increases IFN-I induction in U937 cells

The m6A erasers (FTO and ALKBH5) orchestrate cellular mRNA functions by removing m6A modifications on mRNA [2]. To investigate whether m6A modifications of HIV-1 genomic RNA could suppress IFN-I induction in cells, we generated HIV-1 from proviral DNA-transfected HEK293T cells and treated isolated viral RNA with recombinant FTO to reduce m6A level before RNA transfection into PMA-differentiated U937 cells (Fig 2A). Isolated RNA from purified HIV-1 virions was demethylated with recombinant FTO in vitro, resulting in a 10-fold decrease in m6A level relative to control HIV-1 RNA (Fig 2B). Transfection of m6A-reduced HIV-1 RNA into PMA-differentiated U937 cells induced 3-fold higher IFN-α and IFN-β expression (P < 0.0005) compared to control HIV-1 RNA (Fig 2C), suggesting that m6A modification of HIV-1 genomic RNA suppresses IFN-I induction in myeloid cells.

Fig 2. Inhibition of m6A modifications of HIV-1 RNA by recombinant FTO increases IFN-I induction.

Fig 2

(A) A schematic of the experimental approach. (B) m6A levels of HIV-1 genomic RNA were reduced by treatment with recombinant demethylase FTO and 50 ng of RNAs were used to confirm the m6A levels by dot-blotting. Methylene blue (MB) staining was used as an RNA loading control. (B) and (C) 250 ng of the above RNAs were transfected in PMA-differentiated U937 cells. At 16 hr post-transfection, IFN-α and IFN-β mRNA levels were measured by RT-qPCR. The results are shown as means ± S.D. of three independent experiments. Mann-Whitney t-test was used for statistical analysis. *** P < 0.0005, compared with control (Ctrl) samples.

Infection of U937 cells with m6A-deficient HIV-1 increases IFN-I expression and phosphorylation of IRF3 and IRF7

To determine the effect of m6A of HIV-1 RNA on IFN-I induction during viral infection, HIV-1 containing lower levels of m6A in viral RNA was generated by overexpression of the eraser FTO in HEK293T cells and was used to infect PMA-differentiated U937 cells (Fig 3A). Compared to the vector control, FTO overexpression in HEK293T cells had no significant effect on the expression of HIV-1 Gag and capsid (CA, or p24) proteins (Fig 3B). HIV-1 derived from FTO-overexpressed HEK293T cells (m6A-deficient HIV-1) showed 10-fold lower m6A levels of viral RNA compared to viruses derived from control cells (Fig 3C). To examine the infectivity of m6A-deficient HIV-1 relative to the control virus, we infected TZM-bl cells with HIV-1 using three different amounts of p24 as viral input and detected the infectivity at 48 hpi. TZM-bl cells are widely used as HIV-1 indicator cells because they express luciferase upon productive HIV-1 infection [38, 39]. The infectivity of m6A-deficient HIV-1 and control virus was comparable with the same amount of p24 (Fig 3D), indicating that FTO overexpression in HIV-1 producer cells does not alter viral infectivity.

Fig 3. Infection of U937 cells with m6A-deficient HIV-1 increases IFN-I expression and IRF3/7 phosphorylation.

Fig 3

(A) A schematic diagram of the experimental approach. (B) HEK293T cells were transfected with vector control or an FTO-expressing plasmid (FTO). After 24 hr, HIV-1 proviral DNA clone (pNL4-3) was transfected for 48 hr. Then, cell lysates were collected, and Western blotting was performed using indicated antibodies. (C) the m6A levels in HIV-1 genomic RNA were determined by the dot-blot assay using 100 ng purified viral RNA derived from vector control or FTO-expressing HEK293T cells. Methylene blue (MB) staining was used as an RNA loading control. (D) The HIV-1 indicator TZM-bl cells were infected with the HIV-1 derived from vector control or FTO-overexpressing HEK293T cells. Medium was used as a mock control of the infection. TZM-bl cells were lysed 48 hpi for the detection of luciferase activity. All luciferase values were normalized to 10 μg protein. RLU, relative light units. (E) PMA-differentiated U937 cells were infected with HIV-1 (250 pg of p24) generated from vector control or FTO-expressing HEK293T cells for 16 hr, and IFN-α and IFN-β mRNA levels were quantified by RT-qPCR. The results are shown as means ± S.D. of three independent experiments. Un-paired t-test was used for statistical analysis. * P < 0.05, ** P <0.005, vector controls were normalized with mock infection samples. (F) Mock or HIV-1 (250 pg of p24) infected U937 cell lysates were collected at 4 hr post-infection (hpi) for Western blotting of IRF3 and IRF7 expression. GAPDH is a loading control. Relative levels of phosphorylated IRF3 (p-IRF3 at S396) and phosphorylated IRF7 (p-IRF7 at S471/S472) are shown.

At 16 hr post-infection (hpi), PMA-differentiated U937 cells infected with m6A-deficient HIV-1 expressed around 2-fold higher IFN-α and IFN-β mRNA (P < 0.05) relative to cells infected with control HIV-1 (Fig 3E). During the early stage of viral infection, IFN-I expression is predominately driven by IRF3 and IRF7 after their activation through phosphorylation [25, 40]. We thus tested whether m6A-deficient HIV-1 affected phosphorylation of IRF3 and IRF7. Compared to mock infection, U937 cells infected with control HIV-1 increased the levels of phosphorylation of IRF3 and IRF7 1.6- and 1.8-fold at 4 hpi, respectively. Of note, the levels of phosphorylation of IRF3 and IRF7 in U937 cells infected with m6A-deficient HIV-1 were 2.6- and 3.1-fold higher than those in mock infection, and 1.6- to 1.7-fold higher compared to cells infected with control HIV-1 (Fig 3F). Together, these results suggest that m6A modifications of HIV-1 RNA evade IFN-I induction and IRF3/7 activation during the early stage of HIV-1 infection in differentiated monocytic cells.

Blocking HIV-1 reverse transcription partially reduces m6A-deficient HIV-1 induced IFN-I expression in U937 cells

To investigate whether HIV-1 reverse transcription and viral cDNA are important for IFN-I induction by m6A-deficient HIV-1, we treated PMA-differentiated U937 cells with the reverse transcriptase (RT) inhibitor nevirapine (NVP) to block HIV-1 reverse transcription and productive viral infection (Fig 4A). In the absence of NVP, the level of gag mRNA in U937 cells infected with m6A-deficient HIV-1 (FTO) was 28-fold higher compared to cells infected with control HIV-1 (Vector) (Fig 4B). NVP treatment efficiently reduced HIV-1 gag mRNA expression 3- to 8-fold (P ≤ 0.0001) in U937 cells infected with control HIV-1 or m6A-deficient HIV-1 at 16 hpi, respectively (Fig 4B). Compared to U937 cells infected with control HIV-1, cells infected with m6A-deficient HIV-1 induced 4- and 3-fold higher IFN-α and IFN-β mRNA expression at 16 hpi, respectively (Fig 4C). Moreover, NVP treatment partially reduced the levels of IFN-α and IFN-β mRNA in U937 cells infected with control or m6A-deficient HIV-1. With NVP treatment, IFN-I mRNA levels in U937 cells infected with m6A-deficient HIV-1 were 2- to 3-fold higher relative to cells infected with control HIV-1 (Fig 4C). These results suggest that m6A-deficient HIV-1 genomic RNA triggers IFN-I induction in differentiated monocytic cells, at least in part.

Fig 4. Blocking HIV-1 reverse transcription partially reduces m6A-deficient HIV-1 induced IFN-I expression in U937 cells.

Fig 4

(A) A schematic diagram of the experimental approach. (B-C) PMA-differentiated U937 cells in the nevirapine (NVP) groups were pre-treated with NVP (5 μM) for 2 hr prior to 2 hr incubation with HIV-1NL4-3 (250 pg of p24) generated from vector control or FTO-overexpressing HEK293T cells. NVP (5 μM) was maintained in the medium throughout the infection and subsequent culture. At 16 hpi, mRNA levels of (B) HIV-1 gag and (C) IFN-α and IFN-β were quantified by RT-qPCR. Spliced GAPDH was used as a normalization control (B-C). The results are shown as means ± S.D. of triplicated samples. One representative experiment of four repeats is shown. Two-way ANOVA was used for statistical analysis. * P ≤ 0.05, **** P ≤ 0.0001.

Reduction of m6A modifications of HIV-1 RNA by ALKBH5 increases IFN-I induction

To confirm the results of FTO treatment and overexpression, we also examined the effect of another m6A eraser ALKBH5 on HIV-1 RNA-mediated IFN-I induction in PMA-differentiated U937 cells (Fig 5A). ALKBH5 overexpression in HIV-1-producing HEK293T cells had no significant effect on the expression of HIV-1 Gag and CA (Fig 5B). The m6A modification of HIV-1 RNA generated from ALKBH5-overexpressed HEK293T cells showed a 2-fold decrease compared to HIV-1 RNA from control cells (Fig 5C). IFN-α and IFN-β levels in U937 cells transfected with HIV-1 RNA from ALKBH5-overexpressed HEK293T cells were 1.8-fold higher (P < 0.05) compared to that from control cells (Fig 5D). Infection of U937 cells with HIV-1 from ALKBH5-overexpressed HEK293T cells induced 2-fold higher IFN-α and IFN-β expression (P < 0.0005) compared to HIV-1 from control HEK293T cells (Fig 5E). Furthermore, infection of U937 cells with m6A-deficient HIV-1 generated from ALKBH5-overexpressed HEK293T cells induced approximately 2-fold higher phosphorylation of IRF3 and IRF7 when compared with control HIV-1 (Fig 5F). Thus, inhibition of m6A modifications of HIV-1 RNA by eraser overexpression in virus-producing cells increases IFN-I induction and activation of IRF3 and IRF7 in differentiated U937 cells.

Fig 5. Inhibition of m6A modifications of HIV-1 RNA by ALKBH5 increases IFN-I induction.

Fig 5

(A) A schematic diagram of the experimental approach. (B) HEK293T cells were transfected with a vector control or an ALKBH5-expressing plasmid (ALKBH5). After 24 hr, pNL4-3 was transfected into these cells for 48 hr. Western blotting of cell lysates was performed using specific antibodies. (C) HIV-1 genomic RNA m6A levels were determined by the dot-blot assay using 100 ng viral RNA from vector control or ALKBH5-expressing HEK293T cells. Methylene blue (MB) staining was used as an RNA loading control. (D) PMA-differentiated U937 cells were transfected with 500 ng of the indicated HIV-1 RNAs. At 16 hr post-transfection (hpt), cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeated assays. * P < 0.05, **** P <0.0001. (E) PMA-differentiated U937 cells were infected with HIV-1 (250 pg of p24) from vector control or ALKBH5-expressing HEK293T cells for 16 hr, and IFN-α and IFN-β mRNA levels were quantified by RT-qPCR. The results are shown as means ± S.D. of three repeated experiments. Vector controls were normalized with non-infection samples. Un-paired t-test was used for statistical analysis. *** P < 0.0005, **** P <0.0001. (F) PMA-differentiated U937 cells were infected with HIV-1 (250 pg of p24) from vector control or ALKBH5-overexpressing HEK293T cells. At 4 hpi, cell lysates were analyzed by Western blot with the indicated antibodies. GAPDH was used as a loading control. Relative levels of phosphorylated IRF3 (pIRF3 at S396) and phosphorylated IRF7 (pIRF7 at S471/S472) are shown.

Pharmacological inhibition of m6A modification of HIV-1 RNA induces IFN-I expression

We next investigated pharmacological inhibition of m6A modification of HIV-1 RNA using 3-deazaadenosine (DAA), an inhibitor of S-Adenosylhomocysteine (SAH) hydrolase that can catalyze the reversible hydrolysis of SAH to adenosine and homocysteine [41]. DAA causes SAH accumulation thereby elevating the ratio of SAH to S-adenosylmethionine (SAM), a substrate of m6A modification, and subsequent inhibition of SAM-dependent methyltransferases [41]. We generated HIV-1 from HEK293T cells and performed HIV-1 RNA transfection and viral infection to evaluate IFN-I induction in PMA-differentiated U937 cells (Fig 6A). DAA-treatment of HEK293T cells did not affect HIV-1 production and release (Fig 6B), but reduced m6A level in HIV-1 RNA 7-fold compared to control cells (Fig 6C). Transfection of PMA-differentiated U937 cells with purified RNA from HIV-1 produced from DAA-treated HEK293T cells (DAA-HIV-1) induced 15-fold and 2.3-fold higher IFN-α and IFN-β expression (P < 0.0005), respectively (Fig 6D). Moreover, infection of PMA-differentiated U937 cells with DAA-HIV-1 induced a 2-3-fold increase in IFN-I expression (P < 0.0005) compared to viruses from control HEK293T cells (Fig 6E). These data further validate that m6A of HIV-1 RNA suppresses IFN-I induction in differentiated monocytic cells.

Fig 6. DAA-treatment reduces m6A modifications of HIV-1 RNA and increases IFN-I induction.

Fig 6

(A) A schematic diagram of the experimental approach. HEK293T cells were treated with the solvent PBS control (Ctrl) or DAA (50 μM) for 3 hr and then transfected with the HIV-1 proviral DNA pNL4-3. HIV-1 in the supernatants was collected 48 hr later. (B) HIV-1 p24 levels in the supernatants of HEK293T cells were measured by ELISA. (C) RNA (100 ng) from these viruses used for the m6A dot-blot assay. Methylene blue (MB) staining was used as an RNA loading control. (D) HIV-1 RNA (250 ng) from Ctrl and DAA-treated samples were transfected into PMA-differentiated U937 cells. After 16 hr, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three independent experiments. *** P < 0.0005, **** P < 0.0001. Un-paired t-test was used for statistical analysis. (E) HIV-1 (250 pg of p24) from HEK293T cells was used to infect PMA-differentiated U937 cells. At 16 hpi, U937 cells were collected for the analysis of IFN-I mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three independent experiments. *** P < 0.0005, **** P < 0.0001, Ctrl samples were normalized with mock infection samples. Un-paired t-test was used for statistical analysis.

Knockout (KO) of erasers increases m6A levels in HIV-1 RNA and reduces IFN-I induction

To validate the results from eraser overexpression, we constructed FTO-KO and ALKBH5-KO HEK293T cell lines by the CRISPR-Cas9 method. Next, these cell lines were transfected to generate HIV-1 with increased m6A of viral RNA for transfection or infection assays (Fig 7A). Western blotting results showed that FTO and ALKBH5 were completely silenced and HIV-1 Gag protein expression was not significantly affected by FTO and ALKBH5 knockout (Fig 7B). HIV-1 RNA from FTO-KO and ALKBH5-KO cells showed 7- and 25-fold higher m6A levels, respectively, relative to that from control (Ctrl-KO) cells (Fig 7C). Transfection of PMA-differentiated U937 cells with HIV-1 RNA derived from FTO-KO or ALKBH5-KO cells showed a 3-4-fold decrease (P < 0.05) in IFN-I expression compared to that from Ctrl-KO cells (Fig 7D). Moreover, infection of PMA-differentiated U937 cells with HIV-1 from FTO-KO or ALKBH5-KO cells induced approximately 2-fold less IFN-I expression (P <0.005) compared to Ctrl-KO cells (Fig 7E). Thus, increasing m6A levels in HIV-1 RNA by eraser KO in virus-producing cells reduces IFN-I induction in differentiated monocytic cells.

Fig 7. Knockout of erasers increases m6A levels in HIV-1 RNA and reduces IFN-I induction.

Fig 7

(A) A schematic diagram of the experimental approach. (B) A single clone-derived control, FTO or ALKBH5 knockout (KO) HEK293T cells were transfected with the HIV-1 proviral DNA pNL4-3. After 48 hr, cells were collected for Western blotting analysis. (C) HIV-1 from the KO cells were collected and viral genomic RNA m6A level was determined by the dot-blot assay using 200 ng viral RNA. Methylene blue (MB) staining was used as an RNA loading control. (D) HIV-1 RNA (250 ng) from KO cells were transfected into PMA-differentiated U937 cells. After 16 hr, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeats with similar result. * P < 0.05, *** P < 0.0005. Un-paired t-test was used for statistical analysis. (E) HIV-1 (250 pg of p24) from KO cells were used to infect PMA-differentiated U937 cells for 16 hr, and cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeats with similar result. ** P <0.005. Un-paired t-test was used for statistical analysis.

IFN-I mRNA expression is rescued in U937 cells transfected with m6A-increased HIV-1 RNA upon recombinant FTO treatment

To further validate the above results, we performed a rescue experiment by treating the HIV-1 RNA from FTO-KO HEK293T cells with recombinant FTO in vitro and then transfecting the derived HIV-1 RNA into PMA-differentiated U937 cells (Fig 8A). Recombinant FTO treatment of HIV-1 RNA from FTO-KO cells reduced m6A level approximately 3-fold, while the level was still 5.5-fold higher than that of control HIV-1 (Fig 8B). Consistently, we observed reduced IFN-I induction in U937 cells transfected with HIV-1 RNA derived from FTO-KO cells compared to control HIV-1 RNA (Fig 8C). Recombinant FTO-treated HIV-1 RNA from FTO-KO cells demonstrated rescue effects on IFN-I mRNA induction in U937 cells compared to HIV-1 RNA from FTO-KO cells (Fig 8C). These results further support the notion that m6A-modified HIV-1 RNA reduces innate immune sensing and IFN-I induction in monocytic cells.

Fig 8. IFN-I mRNA expression is rescued in U937 cells transfected with m6A-increased HIV-1 RNA upon recombinant FTO treatment.

Fig 8

(A) A schematic diagram of the experimental approach. (B) HIV-1 RNA isolated from virions generated from FTO-KO HEK293T cells was treated with or without recombinant FTO. HIV-1 RNA derived from Ctrl-KO HEK293T cells was used as a control. m6A levels of HIV-1 RNA (50 ng/sample) were measured by the m6A dot-blot assay. Methylene blue (MB) staining was used as an RNA loading control. (C) HIV-1 RNA (250 ng) was transfected in PMA-differentiated U937 cells (5×105). Mock transfection of U937 cells without RNA was used as a negative control. At 16 hr post-transfection, IFN-α and IFN-β mRNA levels were measured by RT-qPCR. The results are shown as means ± S.D. of four biological samples from two independent experiments. * P < 0.05, ** P < 0.01. Un-paired t-test was used for statistical analysis.

Transfection of m6A-altered HIV-1 RNA into primary MDM modulates IFN-I expression

To validate the results obtained from PMA-differentiated U937 cells, we generated MDM with CD14+ monocytes isolated from de-identified healthy blood donors [42] and examined the effect of m6A-decreased or m6A-increased HIV-1 RNA on IFN-I expression in MDM. In this experiment, m6A levels of HIV-1 RNA in virions produced from FTO-overexpressing (FTO-OE) HEK293T cells were 2-fold lower compared to that from vector control cells (Fig 9A, left panel). In contrast, m6A levels of HIV-1 RNA in virions produced from FTO-KO HEK293T cells were 14-fold higher compared to that from control KO (Ctrl-KO) cells (Fig 9A, right panel). IFN-I expression was undetectable in mock transfection (no RNA) of MDM as a background control (Fig 9B–9E). Transfection of m6A-decreased HIV-1 RNA (FTO-OE) into MDM induced 22- to 34-fold higher IFN-I mRNA expression (P <0.05) compared to control HIV-1 RNA (Vector) (Fig 9B). IFN-I protein levels in the supernatants of MDM transfected with m6A-decreased HIV-1 RNA were 10- to 24-fold higher (P <0.01) compared to control HIV-1 RNA (Fig 9C). As positive controls, poly (I:C) transfection of MDM induced significantly higher IFN-I mRNA and protein expression (P <0.01) compared to the control HIV-1 RNA (Fig 9B and 9C). Furthermore, transfection of m6A-increased HIV-1 RNA (FTO-KO) into MDM induced 3.7-fold lower IFN-α (P < 0.001) and 1.4-fold lower IFN-β mRNA expression compared to control HIV-1 RNA (Ctrl-KO) (Fig 9D). IFN-I protein levels in the supernatants of MDM transfected with m6A-increased HIV-1 RNA were significantly lower (P <0.05) compared to control HIV-1 RNA (Fig 9E). The transfection efficiency of MDM was around 86% based on a GFP mRNA control (Fig 9F). Using MDM from three different healthy donors, we obtained similar results with donor variations among experiments. Together, these results demonstrated that m6A-modified HIV-1 RNA evades innate immune sensing in primary MDM.

Fig 9. Transfection of m6A-altered HIV-1 RNA into primary MDM modulates IFN-I expression.

Fig 9

(A) m6A levels of HIV-1 RNA (100 ng) of virions generated from vector control HEK293T cells, FTO-overexpressed HEK293T cells (FTO-OE), control-KO HEK293T cells (Ctrl-KO), or FTO-KO HEK293T cells were measured by dot-blotting. Methylene blue (MB) staining was used as an RNA loading control. (B-E) MDM (5×105) were mock-transfected (no RNA) or transfected with 125 ng isolated HIV-1 RNA or poly (I:C) as indicated. At 24 hr post-transfection, (B and D) IFN-I mRNA levels in MDM were measured by qRT-PCR. (C and E) IFN-I protein levels in the supernatants of transfected MDM were detected by ELISA. These experiments were repeated three times with MDM from three different donors. Data shown were from one representative experiment with means ± S.D. of three biological repeats. Un-paired t-test was used for statistical analysis. * P<0.05, ** P<0.01, *** P<0.001, **** P<0.0001 compared to the indicated controls (B-C, compared to the vector control; D-E, compared to the Ctrl-KO). (B-E) IFN-I levels in mock samples were undetectable and used as a background control. (F) Flow cytometry detection of GFP expression in MDM mock-transfected (light grey peak) or transfected with gfp mRNA (dark grey peaks). Percentage of GFP-positive cells (88%) and mean fluorescence intensity (MFI) are shown.

RIG-I, but not MDA5, is important for sensing HIV-1 RNA lacking m6A modification

To characterize the cellular sensing mechanisms of m6A-deficient HIV-1 RNA, RIG-I and MDA5 in U937 cells were silenced by KO and shRNA, respectively. RIG-I-KO U937 cells were constructed and undetectable RIG-I expression was confirmed (Fig 10A). To test whether these cells responded to RNA stimulation, poly(I:C) was transfected into cells and IFN-I expression was measured. Compared to mock-transfected cells, poly(I:C) transfection induced high levels of IFN-I expression in RIG-I-KO and control U937 cells (Fig 10B). As expected, the induction of IFN-I by poly(I:C) was significantly reduced by 2-fold in RIG-I-KO U937 cells (P < 0.005) compared to control cells (Fig 10B), confirming that RIG-I acted as an RNA sensor to induce IFN-I expression in these cells. In control U937 cells, transfection of single m6A-modified HIV-1 RNA oligos induced lower IFN-I expression (P < 0.0001) compared to unmethylated RNA oligo counterparts (Fig 10C and 10D). However, in RIG-I-silenced U937 cells, transfection of m6A-modified HIV-1 RNA oligos had no effect on IFN-I expression relative to unmethylated control oligos (Fig 10C and 10D), suggesting a pivotal role of RIG-I in sensing m6A-deficient HIV-1 RNA.

Fig 10. RIG-I senses m6A modification of HIV-1 RNA to induce IFN-I expression.

Fig 10

(A) RIG-I expression levels in control (Ctrl) and RIG-I knockout (sgRIG-I) U937 cells were measured by Western blotting. (B) Ctrl and RIG-I KO U937 cells were transfected with 250 ng of poly(I:C). At 16 hr post-transfection, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeats with similar results. ** P < 0.005, **** P < 0.0001. (C and D) PMA-differentiated Ctrl and RIG-I KO U937 cells were transfected with 250 ng of HIV-1 RNA oligo 1 (C) or oligo 2 (D). After 16 hr, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeated experiments. * P < 0.05, ** P < 0.005, **** P < 0.0001. Un-paired t-test was used for statistical analysis. ns, not significant.

Furthermore, we examined the potential role of MDA5 in sensing m6A-deficient HIV-1 RNA in monocytic cells. MDA5 expression was substantially reduced by 97% in differentiated U937 cells with MDA5 knockdown (shMDA5) compared to vector control (shCtrl) cells (Fig 11A). As a positive control, poly(I:C) transfection induced high levels of IFN-I expression in both shCtrl and shMDA5 U937 cells. As expected, poly(I:C) transfection into shMDA5 U937 cells significantly decreased IFN-I levels relative to shCtrl cells (Fig 11B). These cells were then examined for their ability to induce IFN-I expression by HIV-1 5′ UTR RNA oligos with or without single m6A modification [21]. Compared to unmethylated HIV-1 RNA oligos, transfection of m6A-modified HIV-1 RNA oligos reduced IFN-I expression in both shCtrl and shMDA5 U937 cells (Fig 11C and 11D), suggesting that MDA5 is not a specific cellular sensor to detect m6A-deficient HIV-1 RNA in differentiated monocytic cells.

Fig 11. MDA5 has no specific role in m6A modification of HIV-1 RNA to induce IFN-I expression.

Fig 11

(A) MDA5 expression levels were measured by Western blotting using control (shCtrl) and stable MDA5 knockdown (shMDA5) U937 cells. (B) shCtrl and shMDA5 U937 cells were transfected with poly(I:C). At 16 hr post-transfection, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. The results are shown as means ± S.D. of three repeats with similar results. * P < 0.05, ** P < 0.005. (C and D) PMA-differentiated shCtrl and shMDA5 U937 cells were transfected with 250 ng of RNA oligo 1 (C) or oligo 2 (D). At 16 h post-transfection, cells were collected for the analysis of IFN-α and IFN-β mRNA levels by RT-qPCR. * P < 0.05, ** P < 0.005. The results are shown as means ± S.D. of three repeated experiments.

Discussion

HIV-1 genomic RNA contains 10–14 sites of m6A modifications in the 5′-, 3′-UTR and several coding regions [1820]. Recent studies indicate that m6A modification has important effects on HIV-1 replication, gene expression, and host responses to viral infection [17, 2123]. It has been shown that cellular enzymes involved in RNA m6A modifications negatively regulate the innate immune response to infection of human cytomegalovirus, influenza A virus, adenovirus, or vesicular stomatitis virus by targeting the IFN-I pathway [43, 44]. A recent study showed that m6A modifications of human metapneumovirus RNA mimic the host RNA to avoid RIG-I-mediated innate immune sensing, and thereby reduce the production of IFN-I and enhance viral replication [45]. However, it remains unknown whether m6A modifications of HIV-1 RNA have any impact on innate immune responses.

In this study, we show that m6A modifications of HIV-1 RNA act as a negative regulator of IFN-I induction by evading RNA sensing in PMA-differentiated U937 cells and primary macrophages from healthy blood donors. We observed that two different HIV-1 RNA oligos of the HIV-1 5′-UTR containing a single m6A-modification significantly reduced IFN-I induction relative to their unmodified RNA counterparts. The different inhibitory effects on IFN-I induction by two m6A-modified RNA oligos compared to their unmodified counterparts might be due to different sequences or conformation of the RNA fragments [21]. We also demonstrated that HIV-1 RNA with decreased m6A levels enhanced IFN-I expression, but HIV-1 RNA with increased m6A modifications had opposite effects. Our results suggest that HIV-1 genomic RNA and viral transcripts are masked by m6A modifications to avoid RIG-I-mediated sensing and IFN-I induction during viral infection. Thus, HIV-1 has likely evolved an immune evasion strategy through m6A modification of viral RNA in macrophages (Fig 12).

Fig 12. HIV-1 RNA escapes from innate immune surveillance in myeloid cells.

Fig 12

In HIV-1 producer cells, writers add and erasers remove internal m6A modifications (blue dots) of viral RNA, respectively. HIV-1 with m6A-modified RNA avoids innate sensing in infected myeloid cells, thereby escaping immune surveillance. Overexpression (O/E) of erasers or inhibiting m6A addition with DAA in HIV-1 producer cells generates viruses with m6A-deficient viral RNA. When HIV-1 with m6A-deficient RNA infects myeloid cells including macrophages, the cytoplasmic RNA sensor RIG-I recognizes unmodified HIV-1 RNA and triggers phosphorylation (indicated by the letter P) of the transcription factors IRF3 and IRF7. Phosphorylation of IRF3/7 leads to IFN-α/β expression and generates antiviral innate immune responses in HIV-1-infected macrophage-like cells. However, it remains to be established whether m6A-deficient HIV-1 RNA enhances binding to RIG-I, thereby inducing IRF3/7 activation and IFN-I expression in cells.

Several RNA modifications, such as N-1-methylpseudouridine, 5-methylcytidine (m5C), 5-hydroxymethylcytidine, 5-methoxycytidine, and 2′ fluoro-deoxyribose, have a significant impact on RIG-I- and MDA5-mediated RNA sensing [46]. In addition to m6A modification, HIV-1 genomic RNA contains eight types of epitranscriptomic modifications that are higher than the average cellular mRNA, with m5C and 2′-O-methyl modifications being most prevalent [47]. It is possible that HIV-1 RNA exploits multiple epitranscriptomic modifications to avoid innate sensing as mechanisms of immune evasion.

The IFN-I gene itself is m6A-modified and targets its destabilization for the maintenance of homeostatic state in mice and humans [44]. Virus infection of host cells can affect m6A-modifications of cellular RNA and IFN-I responses. Rubio et al. showed that, following human cytomegalovirus infection, depletion of METTL14 or increase in ALKBH5 proteins leads to decrease the level of m6A in IFN-β gene and stabilizes and elevates the IFN-I response [43]. We have reported that the HIV-1 envelope protein gp120 upregulates m6A levels of cellular RNA in primary CD4+ T cells or Jurkat cells independently of viral replication [23]. It is possible that HIV-1 may modulate the activity or localization of writers or erasers, thereby upregulating m6A levels in HIV-1 infected cells. It remains to be established whether m6A modifications of HIV-1 RNA regulate innate immune responses in primary CD4+ T-cells. Moreover, recent studies suggest that HIV-1 intron-containing RNA activates innate immune signaling and IFN-I induction in primary dendritic cells, macrophages, microglia, and CD4+ T cells [4850]. It is conceivable that, during chronic HIV-1 infection, multiple cellular and viral mechanisms can regulate IFN-I induction and innate immune activation in infected cells and individuals.

Our data suggest that m6A-modified HIV-1 reduces the activation of IRF3 and IRF7 through RIG-I-mediated signaling to suppress IFN-I induction. However, it remains unclear how m6A modifications of HIV-1 RNA reduce phosphorylation of IRF3 and IRF7 during early stage of HIV-1 infection. Previous studies suggest that HIV-1 proteins can target several cellular RNA and DNA sensors including RIG-I to surpass the IFN-I response [5154]. Moreover, HIV-1 can also target downstream proteins in the IFN-I pathway including IRF3 and IRF7 to contribute to chronic and persistent infection [5559]. For example, HIV-1 Vpr protein mediates degradation of IRF3 to avoid the innate antiviral immune response [60].

Durbin et al. showed that a RIG-I-activating RNA ligand, the 106-nucleotide polyU/UC sequence derived from the 3′ UTR of hepatitis C virus with m6A modification bound RIG-I with low affinity and did not trigger the conversion to the activated RIG-I conformer and thus has an immunosuppressive potential [46]. Our data indicated that m6A-deficient HIV-1 RNA oligos enhanced RIG-I-mediated RNA sensing and IFN-I induction in cells, while this effect could be independent of RNA sequence because an m6A-deficient RNA oligo with a random sequence also induced higher IFN-I mRNA compared to the unmethylated counterpart. Further studies are needed to examine whether the m6A-modified HIV-1 RNA binds RIG-I with a low affinity, which might be the possible cause of reduced IFN-I induction during viral infection.

In summary, our study uncovered a previously unidentified strategy of how HIV-1 RNA escapes the host antiviral innate immune system through m6A modifications of its RNA genome. HIV-1 RNA m6A modifications can act as an immune suppressor of RIG-I-mediated viral RNA sensing in myeloid cells. Our findings also implicate that pharmacological reduction in m6A modification of HIV-1 RNA could enhance IFN-I-mediated innate antiviral immune responses.

Materials and methods

Ethics statement

The Institutional Review Board (IRB) at the University of Iowa has approved the in vitro experiments in this study involving human blood cells from de-identified healthy donors. The consent requirements for the de-identified blood samples were waived by IRB.

Cell culture

HEK293T cell line was a kind gift from Vineet KewalRamani (National Cancer Institute, USA) and maintained in complete Dulbecco’s modified Eagle’s medium (DMEM) as described [21]. U937 cell line was obtained from the American Type Culture Collection (ATCC) and maintained in complete RPMI-1640 medium as described [61]. All the cell lines were maintained at 37°C in 5% CO2 and tested negative for mycoplasma contamination using a universal mycoplasma detection kit (ATCC 30-1012K) as described [42].

Preparation of primary MDM

CD14+ primary monocytes were isolated with Anti-Human CD14 Magnetic Particles-DM (BD Biosciences, catalog no. 557769) from healthy donors’ blood samples purchased from the DeGowin Blood Center at the University of Iowa. MDMs were differentiated from CD14+ monocytes as described [42].

Plasmids and HIV-1 RNA oligos

The HIV-1 proviral DNA construct pNL4-3 was used to generate viral stocks as described [20]. For over-expression of the m6A erasers, the corresponding control vectors, pCMV6-FTO, pCMV-ALKBH5 were described [9, 62]. For knockout of eraser genes, CRISPR-Cas9 vectors containing sgControl, sgFTO, and sgALKBH5 were used as described [44]. For RIG-I knockout, pCR-BluntII-Topo-sgRIGI-1 and 2 vectors were described [63], which were kindly provided by Dr. Stacy Horner (Duke University, USA), and the plasmid hCas9 (catalog no. 41815, Addgene) was described [64]. For MDA5 and RIG-I knockdown, shControl, shMDA5 and shRIG-I plasmids [37] were kindly provided by Dr. Yamina Bennasser (Université de Montpellier, France). Six RNA oligo sequences are from the 5′ UTR of HIV-1 genomic RNA (NL4-3 strain) with or without a single m6A site [21], which were commercially synthesized (Integrated DNA Technologies, IDT). The sequences and the location of the m6A sites in the conserved GGACU motifs of the HIV-1 genome were described [21] and are listed below: RNA oligo 1 (nt. 235–281, the m6A-modified adenosine is nt. 241):

5′-CGCAGGACUCGGCUUGCUGGAGACGGCAAGAGGCGAGGGGCG-3′.

To eliminate RNA dimerization in our previous RNA binding assays [21], the original dimer initiation sequence of HIV-1 (AAGCGCGC) in oligo 1 was replaced with the underlined nucleotides GAG. RNA oligo 2 (nt. 176–217, the m6A-modified adenosine is nt. 197):

5′-AGCAGUGGCGCCCGAACAGGGACUUGAAAGCGAAAGUAAAGC-3′. The sequence of scrambled RNA oligo 2 was obtained using the Sequence Manipulation Suite (Bioinformatics.org). The m6A-modified adenosine of scrambled RNA oligo 2 is underlined and in bold as follow: 5′-AAAGGCGGUGCCAACCGCGAGGCUGGAGACAUAAAAACGAGU-3′.

Generation of U937 cells with MDA5 knockdown or RIG-I knockout, and HEK293T cells with FTO or ALKBH5 knockout

For MDA5 knockdown U937 cell line construction, HEK293T cells were transfected with shControl or shMDA5, together with pMD2.G and psPAX2 plasmids by polyethyleneimine (PEI) [42]. At 48 hr post-transfection, lentiviruses were harvested and purified to infect U937 cells for 48 hr and then the U937 cells were selected in RPMI-1640 media with 1 μg/mL puromycin. To generate RIG-I knockout cells, pCR-BluntII-Topo-sgRIGI-I or pCR-BluntII-ToposgRIGI-2, along with hCas9, which has neomycin (G148) resistance, were transfected into U937 cells by TransIT mRNA transfection kit (Mirus, USA) for 48 hr according to the manufacturer’s protocol. Then, G418 (1 mg/mL) was added to transfected cells for 8 days to select RIG-I knockout U937 cells, which were confirmed by Western blotting. For Control, FTO, and ALKBH5 knockout HEK293T cell generation, HEK293T cells were transfected with corresponding single guide RNAs (sgRNAs), together with pMD2.G and psPAX2 plasmids. At 48 hr post-transfection, lentiviruses were collected to infect fresh HEK293T cells for 48 hr. Then, the single clones were selected by 1 μg/mL puromycin in 96 well plates. The KO cells were confirmed by DNA sequencing and for specific protein expression by Western blotting.

Generation of m6A-reduced HIV-1 from cells treated with DAA

HEK293T cells were mock-treated with PBS or 50 μM DAA (Sigma-Aldrich, Product number D8296) for 4 hr before transfection with pNL4-3 plasmid as described [19, 20]. DAA concentration (50 μM) was maintained in the culture medium for an additional 48 hr. Cells and supernatants were collected at 48 hr post-transfection for the analysis of protein expression and RNA m6A by immunoblotting.

Dot immunoblotting of m6A modification in RNA

RNA was extracted from purified and concentrated HIV-1 stocks by using TRIzol (Invitrogen) or RNA purification kit (Qiagen). The synthesized RNA oligos were directly used for dot-blot assays as described [23]. Briefly, HIV-1 RNA or RNA oligos (diluted to 100 μL using 1 mM EDTA) were mixed with 60 μL of 20× saline-sodium citrate (SSC) buffer (3 M NaCl, 0.3 M trisodium citrate) and 40 μL of 37% formaldehyde (Invitrogen) and incubated at 65°C for 30 min. Nitrocellulose membrane (Bio-Rad, catalog no. 162–0115) or nylon membranes (Roche, catalog no. 11209299001) were pre-soaked with 10X SSC for 5 min and assembled in dot-blot apparatus (Bio-Rad) with vacuum-on. Equal amounts of RNA were transferred to nitrocellulose or nylon membranes, then membranes were washed twice with 200 μL of 10× SSC buffer. Nylon membranes were washed once with TBST buffer (20 mM Tris, 0.9% NaCl, and 0.05% Tween 20) for 5 min and stained with methylene blue staining (Molecular Research Center, catalog no. MB119) for 2–5 sec followed by two or three washes with ddH2O. Nitrocellulose membranes were blocked with 5% milk in TBST buffer and used to detect m6A levels by probing with an m6A-specific antibody (Synaptic Systems, catalog no. 202 003). Images were taken by Amersham Biosciences Imager 600 (GE Healthcare) and analyzed by ImageJ software (National Institutes of Health). Densitometry quantification of relative RNA m6A levels was normalized to MB staining as described [23].

In vitro FTO demethylation of HIV-1 RNA m6A

Demethylation of HIV-1 RNA m6A was performed with recombinant FTO treatment of purified HIV-1 RNA. Briefly, 500 ng HIV-1 RNA were used for FTO in vitro treatment in 100 μL reaction buffer containing 50 mM HEPES buffer (pH7.0), 75 μM (NH4)2Fe (SO4)2•6H2O, 2 mM L-ascorbic acid, 300 μM 2-KG (alpha-ketoglutaric acid), 200 U RNasin ribonuclease inhibitor, 5 μg/mL BSA, and 0.2 nmol FTO protein. The reaction was performed at 37°C for 1 hr and then stopped by adding 5 mM EDTA. Finally, RNA samples were denatured at 70°C for 2 min and quickly put into ice for m6A detection.

HIV-1 production, p24 quantification, RNA transfection of U937 cells and MDM, and HIV-1 infection assays

HIV-1 stocks were generated by transfection of HEK293T cells with the proviral DNA pNL4-3 using PEI as described [42]. Cell culture medium was exchanged at 6–8 hr post-transfection with supernatants and was harvested at 48 hr. The cell culture media containing viruses were filtered (0.45 μm) and purified by 25% sucrose using an SW28 rotor (Beckman Coulter) at 141,000g for 90 min. The pellet was resuspended with PBS and digested with DNase I (Turbo, Invitrogen) for 30 min at 37°C. To extract HIV-1 genome RNA, concentrated HIV-1 virions were lysed by Trizol (Invitrogen) and RNA was purified by phenolic-chloroform sedimentation and isopropanol precipitation.

For RNA transfection, U937 cells were treated with 100 ng/mL phorbol 12-myristate 13-acetate (PMA) for 24 hr and changed with fresh RPMI-1640 media for another 24 hr. PMA-differentiated U937 cells (5×105) were then transfected with TransIT mRNA transfection kits (Mirus) according to the manufacturer protocol. Transfection of poly(I:C) (Sigma-Aldrich, P1530) was used as a positive control. At 16 hr post-transfection, cells were harvest for RT-qPCR analysis. MDM (5×105) were transfected with isolated HIV-1 RNA (125 ng) or GFP-encoding mRNA (1 μg, a kind gift from Dr. Zack Zhou at the Luna Innovations Inc.) using the TransIT-mRNA transfection kit (Mirus). At 24 hr post-transfection, IFN-I mRNA and GFP expression in MDM was measured by RT-qPCR and by flow cytometry, respectively.

For HIV-1 infection assays, HIV-1 p24 levels were quantified by an enzyme-linked immunosorbent assay (ELISA) using anti-p24-coated plates (The AIDS and Cancer Virus Program, NCI-Frederick, MD) as described [23]. PMA-differentiated U937 cells (5×105) were infected by equal amounts of HIV-1 (250 pg of p24) for 16 h and then cells were collected for Western blotting or RT-qPCR analysis.

Measurement of HIV-1 infectivity

To determinate the infectivity of HIV-1NL4-3, an equivalent amount of virus stock (62.5, 125, or 250 pg of p24) was used to infect TZM-bl cells [38, 39] in 48-well plates in the presence of DEAE-dextran (40 μg/ml, Sigma-Aldrich). At 48 hpi, TZM-bl cells were washed twice with PBS and lysed for the luciferase assay (Promega) following the manufacturer’s instructions. Cell protein concentrations were quantified using a bicinchoninic acid assay (Pierce) and all luciferase results were normalized based on total protein input.

Antibodies and immunoblotting

The antibodies used in this study were: anti-GAPDH (AHP1628, Bio-Rad), anti-FLAG (F1804, Sigma-Aldrich), anti-METTL3 (15073-1-AP, Proteintech Group), anti-METTL14 (HPA038002, Sigma-Aldrich), anti-FTO (ab124892, Abcam), anti-ALKBH5 (HPA007196, Sigma-Aldrich), anti-MDA5 (D74E4, Cell Signaling), anti-RIG-I (D14G6, Cell Signaling), anti-HIV-1 Gag (clone #24–2, the NIH AIDS Reagent Program), anti-IRF3 (124399, Abcam), anti-phospho-IRF3 (Ser396) (4D4G) (4947, Cell Signaling), anti-IRF7 (4920S, Cell Signaling), anti-phospho-IRF7 (Ser471/472) (5184, Cell Signaling) and anti-m6A polyclonal rabbit antibody (202 003, Synaptic Systems). Cells were harvested and lysed in cell lysis buffer (Cell Signaling) supplemented with a protease inhibitor cocktail (Sigma-Aldrich) and a phosphatase inhibitor cocktail (Cell Signaling). Immunoblotting was performed as described [23]. Detection of GAPDH expression was used as a loading control.

IFN-I protein detection by ELISA

The concentrations of released IFN-α and IFN-β proteins in the supernatants of MDM transfected with HIV-1 RNA or mock-transfected at 24 hr post-transfection were detected by VeriKine ELISA kits for human IFN-α (catalog no. 41100) and IFN-β (catalog no. 41410) according to the product instructions (PBL Assay Science).

Quantitative RT-PCR

Real-time quantitative RT-PCR (qRT-PCR) was performed as described [42, 65] to assess the relative levels of IFN-α, IFN-β, HIV-1 gag mRNA expression in cells induced by HIV-1 RNA transfection or HIV-1 infection. Following primers (IDT) were used:

IFN-α, F 5’-GTACTGCAGAATCTCTCCTTTCTCCT-3’

IFN-α, R 5’-GTGTCTAGATCTGACAACCTCCCAGG-3’

IFN-β, F 5’-AACTTTGACATCCCTGAGGAGATTAAGC-3’

IFN-β, R 5’-GACTATGGTCCAGGCACAGTGACTGTAC-3’

Gag-F, 5’-CTAGAACGATTCGCAGTTAATCCT-3’

Gag-R, 5’-CTATCCTTTGATGCACACAATAGA G-3’

GAPDH, F 5’-GGAAGGTGAAGGTCGGAGTCAACGG-3’

GAPDH, R 5’-CTGTTGTCATACTTCTCATGGTTCAC-3’

Statistical analyses

Data were analyzed using either Mann-Whitney’s t-test or the one-way or two-way analysis of variance (ANOVA) with Prism software and statistical significance was defined as P < 0.05. All experiments were repeated 2–3 times as indicated in the figure legends.

Acknowledgments

We thank Jack T. Stapleton, Jennifer Welch, Alexis Hawkins and the Wu lab members for helpful discussions and suggestions. The authors appreciate generous reagents from Drs. Yamina Bennasser, Ruiqi Ge, Stacy Horner, Vineet KewalRamani, Noam Stern-Ginossar, Zack Zhou, and the NIH AIDS Reagent Program.

Data Availability

All relevant data are within the manuscript.

Funding Statement

This work was supported in part by National Institutes of Health grants R01AI150343 and R01AI141495 (to L.W.), and R01 ES030546 (to C.H.). C.H. is a Howard Hughes Medical Institute Investigator. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

David T Evans, Thomas J Hope

16 Nov 2020

Dear Dr. Wu,

Thank you very much for submitting your manuscript "N6-methyladenosine modification of HIV-1 RNA evades RIG-I-mediated sensing to suppresses type-I interferon induction in monocytic cells" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments. We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

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[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

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Sincerely,

David T. Evans

Associate Editor

PLOS Pathogens

Thomas Hope

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

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Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: In this original research article, Chen et al. look to test the hypothesis that m6A modification of the HIV RNA genome modulate the innate immune responses by inhibition of RNA sensing. Using a combination of in vitro RNA modifications and ex vivo gene editing approaches to alter m6A pathways, the authors show a very small, but consistent effect where less m6A correlates with more IFN induction in the monocytic cell line U937 and vice versa. Knockout of the sensors RIG-I and MDA5 suggest a reliance on RIG-I for sensing. Perhaps paradoxically to their argument, they find decreased levels of m6A modification in cellular RNA from virally suppressed patients on ART compared to viremic controls correlating with decreased IFN levels in vivo.

While the paper is generally well-written, with a clear hypothesis and a good attempt to bridge ex vivo and in vivo experimentation, the overall magnitude of the effect is not convincing, the reliance on one cell line model is limiting, the final mechanistic model is unclear, and several controls are missing that would improve interpretation of the results. Overall, while the results are consistent with a model in which m6A modification to RNA may provide limited protection against RIG-I sensing, it is unclear to what extent, if any, this is relevant to HIV infection. No effects on HIV infectivity are shown and the data collected in vivo seem at odds to their in vitro model. Several additional experiments are required to support the claims made in the paper.

Reviewer #2: In this study, the authors showed that m6A modification of HIV-1 RNA suppresses the expression of IFN-I in human monocytic cell line U937. The authors demonstrated this effect of m6A via 1) transfection of cells with 42-mer RNA oligos (corresponding to sequences in HIV 5’UTR) that contain (or not) single m6A modification, 2) transfection of cells with RNA purified from virions with varying degrees of the m6A modification, and 3) infection of cells with HIV-1 containing different levels of the m6A modification. The authors further presented the data suggesting that the m6A modification allows HIV-1 to reduce activation of the transcription factors IRF3 and IRF7 that drive IFN-I gene expression and that m6A modification allows viral RNA to evade sensing by RIG-I but not MDA5. While the effects of changes in the m6A modification are modest in some experiments, the use of multiple methods to alter m6A modification levels makes the data convincing. These data are clearly presented and interpreted for the most part in a balanced manner. As the finding that m6A modification of HIV-1 RNA promotes virus evasion of innate immune sensing is novel and potentially important, the manuscript is likely of interest to many readers of PLOS Pathogens. There are, however, a few points that the authors need to consider to improve the manuscript as described below.

Reviewer #3: Summary:

Chen and colleagues study the impact of HIV RNA m6A modifications on the induction of innate immune responses in monocytic cells. It has been recently found that m6A modifications can have an impact on RIG-I mediated infection in metapneumovirus, but similar studies have not been conducted with regards to HIV-1. The understanding of HIV-1 interactions with innate sensing machinery is very important to understanding HIV-1 pathogenesis, so this study is of high interest to both HIV researchers and general viral pathogenesis researchers. Using macrophage systems, the authors demonstrate the impact that m6A modification of the HIV-1 RNA can have on innate sensing. Transfection of differentiated monocytes with oligos harboring an m6A modification resulted in significantly reduced INF-alpha and –beta mRNA levels when compared to transfections using the same oligos without RNA alteration. The authors further support their hypothesis using a knockout of two different m6A eraser molecules driving a decrease in IFN-I responses. Interestingly, the same was observed when m6A was specifically inhibited by the compound DAA. In contrast, overexpression of the same erasers lead to the opposite effect. In addition, Chen et al. showed that infection with HIV RNA leads to phosphorylation/activation of IRF3 and IRF7, key regulators of the IFN-I pathways. The effect was even more pronounced when using conditions that increase m6A levels. In line with this, knockout of the RIG-I complex, a major component of the same pathway caused a significant decrease in IFN-I responses. Finally, the authors compared m6A levels and IFN-I responses in two HIV patient groups (viremic versus ART treatment) with a healthy control group. Both, m6A and IFN-I levels were highest in the viremic group and lowest in ART treated HIV patients.

Overall the quality of the data are high and the authors are careful to correlate the extent of m6A modification with the magnitude of the effects that they see. They present a robust data set in support of their hypothesis and their conclusions are sound. The size the effects that they measure are modest, but clearly affect IFN-I mRNA levels and IRF phosphorylation. It may be noted that the magnitude of the effect is weaker than strong agonists like poly IC, so it may be helpful to determine how vigorously this translates into differences in IFN-I protein levels or bioassay. Also although the impact of IFN-I on macrophage replication may not be expected to be large, it is worth commenting on whether this level of IFN-I induction has any affect on viral replication in monocytes (as I suspect this phenotype is more relevant to inflammation rather than direct effects on replication.) Lastly the patient data are intriguing, though an explanation for how the increase in m6A in patients relates to the monocyte cellular models, which indicate that elevated m6A should work to decrease inflammation, whilst it is clear that in vivo infection is associated with elevated IFN-I. This paper is of high interest.

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Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: 1) Figure 1: While the oligo assay is clean and convenient, the relationship to HIV is tentative at best. While the 42-mers match HIV sequences, they are no substitute for incoming viral RNA or viral particles (tested directly in later figures). Rather, this figure seems to indicate a small (0.2 – 4.0 fold) effect on IFN induction by m6A modification in a sequence dependent manner. As the data is only shown normalized and without any positive or negative induction controls, it is unclear to what extent the oligos induce a response over baseline. Does m6A modification protect other oligos in random sequence? Would this difference be seen in other cell line models or in primary macrophages?

2) Figure 2: In vitro modification and subsequent transfection of HIV RNA results in 10-fold changes to m6A levels, but this has barely a 3-fold effect on IFN. HIV RNA from FTO overexpression cells similarly has 10-fold less m6A, but barely results in a 2-fold effect on IFN compared to a 200-fold effect of the positive control. Is there any proposed explanation for the differential scaling of these effects? Could this be driven by changes to RNA stability in the cell after delivery, which m6A has been shown to directly effect, rather than by direct protection from sensing?

3) Figure 2: This is further examined by infection with viruses produced from FTO overexpression cells and these show again a barely 2-fold increase in IFN over control viruses. Would a two-fold effect on IFN influence HIV replication overall? What are the percent infected cells after this challenge was performed?

4) Figure 2: The overall model that these data suggest is also somewhat puzzling as, to be sensed, the genomic RNA has to be released from the core at some point. Have the authors tried doing this experiment in the presence of an RT inhibitor to show that this is modified genomic RNA and not abortive RT transcripts driving this response?

5) Figure 3: Similar concerns with scale are raised as with Figure 2. For example, ALKBH5 overexpression decreases m6A levels by 50%, but has a similar impact on IFN as FTO overexpression, which reduces m6A levels by 90%? This would suggest that the impact on IFN does not directly correlate with m6A levels, but may be limited by some other factor.

6) Figure 4: Knock-out of FTO and ALKBH5 look great, though the impact of ALKBH5 knock-out on HIV RNA m6A levels is greater than FTO, directly opposite the observation with overexpression. Transfection of this RNA shows a consistent though again minimal impact with up to 25-fold more m6A resulting in only a roughly 75% decrease in IFN induction. Parallel infection experiments show less than a 50% effect. This would be more convincing if the result could be rescued by treatment of the FTO-KO or ALKBH5-KO RNA with FTO in vitro. Still, the impact of m6A levels on RNA stability may serve as a significant confounder to these results.

7) Figure 5: The inhibitor is effective, but the IRF3 and IRF7 blots are nowhere near clear enough for precise quantification. The 1.2 and 1.7-fold effects are not convincing by these data.

8) Figures 1-5: At some point, the most pertinent results should be validated in primary cells.

9) Figures 6 and 7: Though the phenotype is still small, the RIG-I dependency (rather than MDA5) is clear. It would be better to compare two KO lines as the shMDA5 line may have residual activity. These results are consistent with previous reports from Durbin et al. that m6A specifically protects against RIG-I sensing. My biggest concern here is again it is unclear how much these small oligos really reflect sensing of HIV RNA, nonetheless HIV RNA in the context of infection. One small note to the authors is they may want to validate these lines with Sendai virus infection as it is specifically sensed by RIG-I, but not as much by MDA5.

10) Figure 8: While this effort to gather in vivo data is appreciated, it is unclear how monitoring overall levels of cellular RNA m6A in control, viremic, and ART patients contributes to the overall narrative of the manuscript. While the data show statistically significant differences in m6A levels between viremic and ART patients, the number of patients is too small to make any definitive conclusions or to meaningfully control for any demographic or virologic confounders. IFN levels in viremic individuals is higher than control or ART patients, consistent with prior reports, but this almost contradicts the model that more m6A protects against IFN induction.

Reviewer #2: 1. The patient-based data shown in Fig 8 are unrelated to the rest of the study described in the manuscript. This figure compares the average m6A level in total RNA of PBMCs from HIV-1 viremic patients with that from patients on ART. As the main focus of the manuscript is m6A modification of HIV-1 RNA, not the total cellular RNA, this part is irrelevant to the overall conclusion of the manuscript in the current form and thus should be removed.

2. The conclusion that m6A modification allows viral RNA to evade RNA sensing by RIG-I is based on the results obtained with transfection of the 42-mer RNA oligos (Figs 6 and 7). This should be confirmed through infection of cells with HIV-1 containing different levels of m6A modification as done in Figs 2-5.

3. All presented data (except for Fig 8) were obtained using a monocytic cell line U937. It would be ideal to confirm at least key parts of the results using primary monocytes or monocyte-derived APCs.

Reviewer #3: Major issues:

1) In differentiated monocytes the authors show that transfection/infection of HIV RNA with more m6A inversely correlates with IFN-I responses. They also come up with a model describing that m6A seems to mask HIV RNA from being recognized by the RNA sensing pathway in the host cell (Sup. Figure S2). However, in patients they show a positive correlation between m6A levels and IFN-I responses (the viremic group has highest levels of m6A and IFN-I). How does this fit into their in vitro model? This seems inconsistent with their in vitro model.

2) In their study, Chen et al measured all their IFN-I responses on RNA level. These also correlated with IRF phosphorylation, so this is promising. To demonstrate that there is an actual increase on the IFN protein level and/or a bioassay would be further compelling to demonstrate functional significance of the IFN-I mRNA levels.

3) In the last line of the discussion the authors suggest that antagonism of m6A modification can lead to increased IFN-I and decreased replication. Does it have an impact on replication? A discussion of how IFN-I may be expected to influence replication would help put this into context.

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

Reviewer #3: Minor issues:

1) Page 10/11, lines 225-234: As a matter of interpretation: The authors describe in the MDA5 knockdown experiments with subsequent HIV RNA transfection/infection that they don’t see a full abrogated IFN-I response (Figure 5) as with knockdown of RIG-I and draw the conclusion that MDA5 does not contribute to the recognition of HIV RNA. Is it possible that the difference in m6A vs. non m6A induced IFN-I response in the knockdown experiment is due to the residual MDA5? Figure 7A shows that there is not a total knockdown of MDA5 as compared to RIG-I.

2) Page 11, line 245: There is no inverse correlation, but a positive correlation of m6A with viral load.

3) Page 12, line 256: There is no significant decrease comparing the HIV viremic and ART group for IFN-alpha, only for IFN-beta.

4) Figure 8A-C: Is there a correlation of viral load with m6A levels/IFN-alpha/IFN-beta levels within the viremic HIV group? A separate graph showing a correlation would be helpful.

5) We would suggest incorporating Sup Fig. S2 into the text.

6) Page 14, line 302: mice

7) Page 14, line 312: modifications

8) Page 14, line 316: reduce

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Reviewer #2: No

Reviewer #3: No

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Decision Letter 1

David T Evans, Thomas J Hope

12 Feb 2021

Dear Dr. Wu,

Thank you very much for submitting your manuscript "N6-methyladenosine modification of HIV-1 RNA suppresses type-I interferon induction in differentiated monocytic cells and primary macrophages" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations.

Although all of the reviewers felt that your revised manuscript is greatly improved, Review 1 still has a few remaining concerns. As an opportunity to use these comments to further improve your study, I would ask that you respond to them to the extent that you feel is constructive.

Please prepare and submit your revised manuscript within 30 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. 

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to all review comments, and a description of the changes you have made in the manuscript. 

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

David T. Evans

Associate Editor

PLOS Pathogens

Thomas Hope

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************

Although all of the reviewers felt that your revised manuscript is greatly improved, Review 1 still has a few remaining concerns. As an opportunity to use these comments to further improve your study, I would ask that you respond to them to the extent that you feel is constructive.

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: In this original research article, Chen et al. look to test the hypothesis that m6A modification of the HIV RNA genome modulates the innate immune response to infection by inhibition of RNA sensing. Using a combination of in vitro RNA modifications and ex vivo gene editing approaches to alter m6A pathways, the authors show a small, but consistent effect where less m6A correlates with more IFN induction in the monocytic cell line U937 and vice versa. This phenotype is RIG-I dependent and further correlates with phosphorylation of IRF3/7. Important aspects of the phenotype are validated in primary MDMs.

This manuscript reflects a major improvement over the first submission. I would like to commend the authors for their hard work in responding to my comments, which I know were extensive. A majority of my concerns were addressed. The disconnect between the magnitude of the changes in m6A levels versus the magnitude of effect on IFN induction is never really addressed, but I can accept that this is something for future work. However, there is still one critical control that I think must be addressed prior to publication as it directly influences how these data are interpreted, namely viral RNA quantification before challenge (see Major Issues). Besides that, I only have a couple of minor suggestions.

Reviewer #2: In this revision, the authors added a substantial amount of new data, which provided supporting evidence for the physiological significance of the original observations and further advanced mechanistic understanding. Removing the in vivo data has also helped clarify the focus of the study. Overall, in my opinion, the authors have satisfactorily addressed the concerns raised by the reviewers in the previous round.

Reviewer #3: A revised manuscript from Chen et al has made extensive changes to address the questions raised in the initial review. The study is thorough in looking at the activation of type I IFN responses by RNA that is hyper or hypo modified by N6-methyladenosine. The most significant changes in the manuscript are the removal of the clinical data, which did not connect well with the observations made in cell lines. And the addition of very relevant data set regarding the response of primary monocyte derived macrophages (MDM) to changes in m6A. The studies in MDM show robust effects and are considerably more relevant to normal physiology of HIV and the induction of inflammatory responses. The authors find that m6A modification suppresses IFN induction in primary MDM and also find that strong enhancement of IFN induction when erasers are used to remove m6A modification. The modifications have strengthened the manuscript substantially.

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: Figures 3-8 all rely on an assay wherein HIV-1 is harvested from culture supernatants and subsequently used for downstream challenge, either directly or using extracted RNA. In most cases, the authors show that the cells express similar levels of p24, that different conditions have similar levels of total RNA, and that the expected changes in m6A levels are observed. A critical missing component, however, is how much live virus or viral RNA is contained in those samples. As the changes in IFN induction are only 2-3 fold in most cases, small differences in the amount of virus produced or the amount of viral RNA packaged could drastically influence the downstream result. Given the new data in Figure 4B (that there is 30-fold more HIV-1 gag RNA produced after challenge of U937 cells with virus from FTO o/e cells), this information is even more critical. Is altering FTO or m6A pathways in producer cells influencing downstream IFN sensing in target cells primarily by influencing the amount of viral RNA produced or packaged? If you DNase treat the RNA in Figure 3C, for example, and do qPCR for viral RNA, is it equal? I think this is really important for interpretation of the phenotype (and may also speak to the magnitude issue mentioned above… I suspect that most of the RNA extracted is not actually viral RNA, but cellular RNA from exosomes isolated alongside the VLPs. All of this RNA may show changes in m6A levels, but it might not all be sensed like viral RNA is.).

Reviewer #2: I have no more concerns.

Reviewer #3: No major issues noted.

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: 1) I would include a paragraph in the introduction talking more about previous molecular studies that show the importance of the m6A pathway in HIV-1 replication.

2) Figure 8 shows minimal impacts on m6A after FTO-OE, but huge impacts on sensing. If only some sites in the genome are important for sensing, m6A-Seq may be very informative here. I know this is outside the scope, but it would be really cool to do.

3) I actually find the rescue data that you shared very compelling! As discussed above, I would bet that slight discrepancies in the amount of viral RNA may explain some of the fluctuation. If you have a chance to repeat it, it might trend towards a significant difference at which point I would highly recommend including it in the manuscript.

Reviewer #2: (No Response)

Reviewer #3: Might add a bit of introductory background regarding the role of monocytes in pathogen sensing and inflammation in HIV. This bit of additional context in the intro may add to the significance of the study.

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, PLOS recommends that you deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plospathogens/s/submission-guidelines#loc-materials-and-methods

Decision Letter 2

David T Evans, Thomas J Hope

25 Feb 2021

Dear Dr. Wu,

We are pleased to inform you that your manuscript 'N6-methyladenosine modification of HIV-1 RNA suppresses type-I interferon induction in differentiated monocytic cells and primary macrophages' has been provisionally accepted for publication in PLOS Pathogens.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

David T. Evans

Associate Editor

PLOS Pathogens

Thomas Hope

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************************************************

Reviewer Comments (if any, and for reference):

Acceptance letter

David T Evans, Thomas J Hope

5 Mar 2021

Dear Dr. Wu,

We are delighted to inform you that your manuscript, "N6-methyladenosine modification of HIV-1 RNA suppresses type-I interferon induction in differentiated monocytic cells and primary macrophages," has been formally accepted for publication in PLOS Pathogens.

We have now passed your article onto the PLOS Production Department who will complete the rest of the pre-publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Pearls, Reviews, Opinions, etc...) are generated on a different schedule and may not be made available as quickly.

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Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

Associated Data

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    Submitted filename: Author Responses to Reviewer comments 2-20-21.pdf

    Data Availability Statement

    All relevant data are within the manuscript.


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