Transcriptome analysis reveals LZ-8 promotes the differentiation of Th17 cells [RNASeq2]
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ABSTRACT:
PROVIDER: PRJNA820610 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18500453.fastq.gz | Fastqsanger.gz | |||
| SRR18500454.fastq.gz | Fastqsanger.gz | |||
| SRR18500455.fastq.gz | Fastqsanger.gz |
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Project description:Protein Arginine Methyltransferase (PRMT) 5 catalyzes symmetric dimethylation of arginine, a post-translational modification involved in cancer and embryonic development. However, the role and mechanisms by which PRMT5 modulates T helper (Th) cell polarization and autoimmune disease have not yet been elucidated. Here we find that PRMT5 promotes expression of cholesterol biosynthetic pathway enzymes that produce ROR agonists and activate ROR-t, driving Th17 differentiation. Specific loss of PRMT5 in the CD4 Th cell compartment completely protected mice from EAE. We also find that PRMT5 controls thymic and peripheral homeostasis in the CD4 Th cell life cycle, as well as iNK T and CD8 T cell development or maintenance, respectively. This work conclusively demonstrates that PRMT5 expression in recently activated T cells is necessary for expression of a cholesterol biosynthesis metabolic gene expression program that generates ROR-t agonistic activity and promotes Th17 differentiation and EAE. These results point to Th PRMT5 and its downstream cholesterol biosynthesis pathway as promising therapeutic targets in Th17-mediated diseases.
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Project description:Despite their enormous importance, the molecular circuits that control the differentiation of Th17 cells remain largely unknown. Recent studies have reconstructed regulatory networks in mammalian cells, but have focused on short-term responses and relied on perturbation approaches that cannot be applied to primary T cells. Here, we develop a systematic strategy – combining transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing gene perturbations in primary T cells – to derive and experimentally validate a temporal model of the dynamic regulatory network that controls Th17 differentiation. The network is arranged into two self-reinforcing and mutually antagonistic modules that either suppress or promote Th17 differentiation. The two modules contain 12 novel regulators with no previous implication in Th17 differentiation, which may be essential to maintain the appropriate balance of Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors that are embedded within a comprehensive temporal network and identifies novel drug targets and organizational principles for the differentiation of Th17 cells. Time course microarray data for Th17 differentiation, including Th0 control
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Project description:Cell fate decision is mediated by epigenetic mechanisms. We have analyzed naive T cell differentiation into Th17 cells, which is regulated by environmental cytokines and their downstream transcription factors. RORγt is a lineage-specific master transcription factor for Th17 cells. Although epigenetic mechanisms have been implicated in Th17 cell differentiation, how transcription factors interact to activate epigenetic program is unclear. Here we show that tripartite motif containing 28 (TRIM28) expression in Th17 cells is required for cytokine production and autoimmune diseases. Genome-wide occupancy analysis reveals that TRIM28 bound regions contain many super-enhancers, which are impaired after TRIM28 or STAT3 but not RORγt deletion. Importantly, TRIM28 exists in a complex with STAT3 and RORγt; TRIM28 recruitment to the Il17 gene requires STAT3, and further promotes RORγt recruitment. TRIM28 thus is a key player in the epigenetic activation during T cell differentiation.
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