XRN1 knockdown in tumor cells stimulates immune cell infiltration
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA836610 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19148600_1.fastq.gz | Fastqsanger.gz | |||
| SRR19148600_2.fastq.gz | Fastqsanger.gz | |||
| SRR19148601_1.fastq.gz | Fastqsanger.gz | |||
| SRR19148601_2.fastq.gz | Fastqsanger.gz | |||
| SRR19148602_1.fastq.gz | Fastqsanger.gz |
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Project description:Despite the remarkable achievement of immune checkpoint blockade (ICB) therapy, the response rate is relatively low and only a subset of patients can benefit from the treatment. We hypothesize that targeting RNA decay machinery may lead to accumulation of aberrantRNA, triggering interferon (IFN) signaling and sensitizing tumor cells to immunotherapy. With this in mind, we identified an RNA exoribonuclease, XRN1 as a potential target. Silencing of XRN1 suppressed tumor growth in syngeneic immunocompetent mice and potentiated immunotherapy, while silencing of XRN1 alone did not affect tumor growth in immune deficient mice. Mechanistically, XRN1 depletion activated interferon signaling and viral defense pathway; both pathways play determinant roles in regulating immune evasion. In murine tumors engrafted on immmunocompetent mice, XRN1 depletion significantly enhanced immune cell infiltration in solid tumors especially in combinatory with PD-1 blockade. We identified aberrant-RNA sensing signaling proteins (RIG-I/MAVS and PKR) in mediating the expression of IFN genes, as depletion of each of them blunted the elevation of anti-viral/IFN signaling in Xrn1 silenced cells. Analysis of pan-cancer CRISPR screening data indicated that IFN signaling triggered by Xrn1 silencing is a common phenomenon, suggesting that the effect of Xrn1 silencing may be extend to multiple types of cancers.
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Project description:Despite the remarkable achievement of immune checkpoint blockade (ICB) therapy, the response rate is relatively low and only a subset of patients can benefit from the treatment. We hypothesize that targeting RNA decay machinery may lead to accumulation of aberrantRNA, triggering interferon (IFN) signaling and sensitizing tumor cells to immunotherapy. With this in mind, we identified an RNA exoribonuclease, XRN1 as a potential target. Silencing of XRN1 suppressed tumor growth in syngeneic immunocompetent mice and potentiated immunotherapy, while silencing of XRN1 alone did not affect tumor growth in immune deficient mice. Mechanistically, XRN1 depletion activated interferon signaling and viral defense pathway; both pathways play determinant roles in regulating immune evasion. We identified aberrant-RNA sensing signaling proteins (RIG-I/MAVS and PKR) in mediating the expression of IFN genes, as depletion of each of them blunted the elevation of anti-viral/IFN signaling in Xrn1 silenced cells. Analysis of pan-cancer CRISPR screening data indicated that IFN signaling triggered by Xrn1 silencing is a common phenomenon, suggesting that the effect of Xrn1 silencing may be extend to multiple types of cancers.
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Project description:Xrn1 is a cytoplasmic 5’-3’ exoribonuclease responsible for degradation of multiple types of RNA. Data obtained on yeast model described Xrn1 function in degradation of messenger (m)RNA, Rapid transfer (t)RNA Decay (RTD) of hypomodified and unstable tRNA transcripts as well as maturation of 25S ribosomal (r)RNA and small nucleolar (sno)RNAs. Our group discovered previously that deletion of Xrn1 gene results in stabilization of a group of long non-coding RNAs which are often transcribed antisense to protein-coding genes and may regulate their expression on transcriptional level. However much less is known about human (h)Xrn1 function. Data available from human cell lines confirm involvement of hXrn1 in degradation of mRNA, initiator tRNA methionine and some miRNA. The high sequence similarity of Xrn1 between yeast and man suggests that also its function should be well conserved for hXrn1. Therefore, in this experiment using inducible shRNA we want to define hXrn1 targets by analyzing RNAs that are stabilized after Xrn1 silencing with focus on both coding and non-coding transcripts.
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