bioRxivMolecular BiologyPreprint
Promoter-associated RNA polymerase III shapes RNA polymerase II-dependent inflammatory gene expression during viral infection
Azra LariiD, Sahil B. ShahiD, Sarah N. BatarsehiD, Mikkel Nagorsen, Britt A. GlaunsingeriD
In-depth summary
Claude Sonnet 4.6 · xhigh effort · 8 Nov 2026 · from the full text of version 1 (15 Jul 2026) · CC BY 4.0
Pol III occupies TATA-enriched, TBP-dependent inflammatory gene promoters, primes basal expression, then restrains Pol II induction during MHV68, HSV-1 and influenza A infection.
Antiviral inflammation must be fast but restrained, and the role of Pol III at protein-coding promoters during infection was unclear. This work shows Pol III shifts from these promoters to SINE retrotransposons and tempers Pol II-driven induction of inflammatory genes.
Key results
ShownMHV68 infection of NIH3T3 fibroblasts redistributes Polr3A from Pol II protein-coding promoters to B1/B2 SINE retrotransposons, with total Polr3A signal largely unchanged and four core subunits stable at the protein level.
7,429 Polr3A peaks lost and 4,293 gained (FDR < 0.05). Lost peaks: 85% at Pol II promoters, 95% of those SINE-free. Gained peaks: 83% at B1/B2 SINEs, 92.3% of the promoter ones overlapping a SINE. · RNA polymerase III is redistributed from…; Figure legends
ShownIn uninfected primary BMDMs, Brf1 depletion lowers expression of innate immune and inflammatory genes, which carry higher promoter Polr3A than the genes that rise.
255 genes down (log2FC ≤ -1.5) vs 175 up among 14,416 protein-coding genes (p < 0.05). The down set was enriched for TNFα signaling via NF-κB, inflammatory response, and interferon alpha and gamma response (Hallmark). · RNA polymerase III supports basal innate immune…; Figure legends
ShownIn uninfected NIH3T3 cells, Brf1 depletion reduces promoter accessibility in proportion to Polr3A occupancy. This dose-dependence is substantially attenuated during MHV68 infection.
Top Polr3A quintile (Q5; mean spike-in-normalized signal = 95) showed a 6% absolute reduction vs the lowest quintile. 377 mapped Brf1-dependent inflammatory promoters lost more signal than 19,635 unchanged genes (ATAC-seq, n=3 per condition). · RNA polymerase III maintains chromatin…; Visualization; Figure legends
ShownDuring MHV68 infection of BMDMs, Brf1 depletion raises inflammatory gene expression without changing viral gene expression or DNA replication. HSV-1 and influenza A infection of human A549 cells show the same TNFα/NF-κB derepression.
373 genes up vs 381 down at 48 hpi in BMDMs. After removing cell-cycle gene sets, TNFα/NF-κB led in HSV-1 (31 genes) and IAV (22 genes, adjusted p = 0.042). Mock-infected A549 cells showed no TNFα/NF-κB signal. · RNA polymerase III activity restrains…; RNA polymerase III also regulates inflammatory…; Figure legends
SuggestedPromoters restrained by Pol III are enriched for TATA boxes, TBP dependency and baseline TBP occupancy. This supports, but does not directly test, a model in which Pol III competes with Pol II for TBP.
Human inflammatory subset (n=48): 23% with a TATA-box vs 5% genome-wide; 34.9% TBP-dependent vs 4.2% in background (OR = 12.1). TAF1 dependency was not enriched. TBP ChIP-seq signal was higher than at expression-matched Brf1-dependent genes in human and mouse. · TBP dependency underlies RNA Polymerase III…; Analysis of TBP, TAF1, and TFIIB dependency from…; Figure legends
Methods, data and reproducibility
Brf1 siRNA depletion was used to prevent Pol III recruitment to Pol II promoters, then profiled by spike-in RNA-seq, PacBio Iso-Seq and ATAC-seq. Results were integrated with Polr3A ChIP-seq and reanalysis of public TBP ChIP-seq and degron PRO-seq data.
- Polr3A ChIP-seq, mock vs MHV68-infected NIH3T3 fibroblasts (previously published dataset) · mouse · n = 2 biological replicates · GSE288677
- Short-read RNA-seq with ERCC spike-ins, control vs Brf1 siRNA, mock and MHV68 48 hpi, primary BMDMs · mouse · n = triplicate
- PacBio Iso-Seq, control vs Brf1 siRNA, mock and MHV68-infected BMDMs · mouse · n = biological duplicates
- ATAC-seq with Drosophila S2 nuclei spike-in, control vs Brf1 siRNA, mock and MHV68-infected NIH3T3 cells · mouse · n = 3 biological replicates per condition
- 3' mRNA-seq of A549 cells infected with HSV-1 or influenza A virus, control vs Brf1 siRNA · human · n = triplicate
- Public TBP ChIP-seq: ENCODE (HeLa S3) and a mouse embryonic stem cell dataset · human; mouse · GSM935606; GSE172401
- Public degron PRO-seq for TBP, TAF1, TFIIB in HAP1 cells (Santana et al., 2022) · human · n = 9,100 background genes mapped · GSE194153
- Public Brf1 and Brf2 ChIP-seq · E-MTAB-767
- Methods & tools
- DiffBind, DESeq2, limma-voom, STAR, IsoSeq3, SQANTI3, clusterProfiler, msigdbr (MSigDB Hallmark), deepTools, MACS3, Bowtie2, featureCounts
- Reagents & environment
- R v4.5.1; STAR v2.7.11b; DESeq2 v1.48 (v1.48.2 for A549); SQANTI3 v4.1; IsoSeq3 v3.4.0; limma v3.52.1; clusterProfiler v4.16; deepTools v3.5.6; MACS3 v3.0.4; Bowtie2 v2.5.5.
- Reproducibility gaps
- Newly generated sequencing data are in GEO but the accession is still pending. No repository for the authors' own analysis code is stated.
Limitations (5)
- The mechanisms behind Brf1-dependent isoform remodeling (splicing, start/end site usage, intron retention) remain undetermined; the authors only hypothesize roles for promoter architecture, chromatin and competition for RNA-processing machinery. · stated by the authors
- In MHV68-infected ATAC-seq samples, viral DNA competed with the Drosophila spike-in for sequencing depth, so spike-in normalization was used only within a condition (mock vs mock, MHV68 vs MHV68). · stated by the authors
- In A549 cells, ERCC normalization was not applied to Brf1 vs control siRNA contrasts because spike-in recovery varied systematically between siRNA conditions. · stated by the authors
- The TBP competition model rests on correlative reanalysis of public datasets from uninfected cells (HAP1, HeLa S3, mouse stem cells). TBP levels or sequestration were not directly measured or perturbed in infected cells. · noted in this summary
- Brf1 knockdown is the only perturbation of Pol III. It may also alter Pol III-transcribed ncRNA output (tRNAs, SINEs), so effects at protein-coding promoters are not cleanly separated without an orthogonal Pol III manipulation. · noted in this summary
Read this if you study Pol II/Pol III crosstalk, SINE biology, or how the host transcription machinery tunes antiviral inflammatory gene induction.
- Citations
- 1
Abstract
Cells must be primed to rapidly induce inflammatory gene expression upon infection while also tuning the level of induction to avoid immunopathology. Here, we identify RNA polymerase III (Pol III), best known for transcribing noncoding RNAs, as a dual-function regulator of RNA polymerase II (Pol II)-dependent inflammatory gene expression. Pol III is selectively enriched at promoters of innate immune, pro-inflammatory, and stress-response genes, where it maintains chromatin accessibility and supports basal transcription. Upon infection with murine gammaher-pesvirus 68 (MHV68), Pol III redistributes from these promoters to retrotransposon loci, coinciding with enhanced expression of inflammatory genes. Depletion of the Pol III transcription factor Brf1 further amplifies inflammatory transcription during infection with MHV68, herpes simplex virus-1, and influenza A virus. Genes restrained by Pol III have TATA-box-enriched promoters and are functionally dependent on TATA-binding protein (TBP), suggesting that Pol III modulates inflammatory gene expression by competing with Pol II for shared transcriptional machinery. Thus, Pol III is a chromatin licensor in uninfected cells and an inflammation rheostat during viral infection. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=178 SRC="FIGDIR/small/738346v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@14e9026org.highwire.dtl.DTLVardef@d9bccborg.highwire.dtl.DTLVardef@f9d5b6org.highwire.dtl.DTLVardef@3dd384_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- organism: human
- organism: virus
- assay: ChIP-seq
- assay: bulk RNA-seq
- assay: ATAC-seq
- assay: long-read sequencing
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
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