Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA260609 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1571750_1.fastq.gz | Fastqsanger.gz | |||
| SRR1571750_2.fastq.gz | Fastqsanger.gz | |||
| SRR1571751_1.fastq.gz | Fastqsanger.gz | |||
| SRR1571751_2.fastq.gz | Fastqsanger.gz | |||
| SRR1571746_1.fastq.gz | Fastqsanger.gz |
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Project description:Activating mutations in PIK3CA, the gene encoding PI3Kα, are frequently found in estrogen receptor (ER+) breast cancer and the combination of the PI3K inhibitor alpelisib with the anti-ER agent fulvestrant is approved for therapy. We have uncovered a key role for the chromatin modifier KMT2D in regulating the ER-PI3K crosstalk. PI3Kα effectors, AKT and SGK, negatively regulate KMT2D through S1331 phosphorylation. When PI3K is inhibited, this regulatory event is lost, leading to increased chromatin recruitment of KMT2D and an upregulation of ER-dependent transcription. Here we discovered a previously undescribed methylation site on KMT2D, at K1330 directly adjacent to S1331, catalyzed by the lysine methyltransferase SMYD2. SMYD2 loss attenuates alpelisib-induced KMT2D chromatin binding. Accordingly, loss of SMYD2 abrogates alpelisib-induced changes in gene expression, including ER-dependent transcription. Knockdown or pharmacological inhibition of SMYD2 sensitizes breast cancer cells, patient-derived organoids, and tumors to PI3K/AKT inhibition and endocrine therapy in part through KMT2D K1330 methylation. Methyl dead knock-in clones of KMT2D phenocopy many of the effects of SMYD2 inhibition on cell and tumor growth, drug response, and transcriptional output. Together, our findings uncover a regulatory cross-talk between posttranslational modifications that plays an important role in fine-tuning the functions of KMT2D at the chromatin. This provides a rationale for epigenetic therapy using SMYD2 inhibitors in combination with PI3Kα/AKT inhibitors for the treatment of ER+/PIK3CA mutant breast cancer.
2024-05-04 | GSE255295 | GEO
Project description:Activating mutations in PIK3CA, the gene encoding PI3Kα, are frequently found in estrogen receptor (ER+) breast cancer and the combination of the PI3K inhibitor alpelisib with the anti-ER agent fulvestrant is approved for therapy. We have uncovered a key role for the chromatin modifier KMT2D in regulating the ER-PI3K crosstalk. PI3Kα effectors, AKT and SGK, negatively regulate KMT2D through S1331 phosphorylation. When PI3K is inhibited, this regulatory event is lost, leading to increased chromatin recruitment of KMT2D and an upregulation of ER-dependent transcription. Here we discovered a previously undescribed methylation site on KMT2D, at K1330 directly adjacent to S1331, catalyzed by the lysine methyltransferase SMYD2. SMYD2 loss attenuates alpelisib-induced KMT2D chromatin binding. Accordingly, loss of SMYD2 abrogates alpelisib-induced changes in gene expression, including ER-dependent transcription. Knockdown or pharmacological inhibition of SMYD2 sensitizes breast cancer cells, patient-derived organoids, and tumors to PI3K/AKT inhibition and endocrine therapy in part through KMT2D K1330 methylation. Methyl dead knock-in clones of KMT2D phenocopy many of the effects of SMYD2 inhibition on cell and tumor growth, drug response, and transcriptional output. Together, our findings uncover a regulatory cross-talk between posttranslational modifications that plays an important role in fine-tuning the functions of KMT2D at the chromatin. This provides a rationale for epigenetic therapy using SMYD2 inhibitors in combination with PI3Kα/AKT inhibitors for the treatment of ER+/PIK3CA mutant breast cancer.
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Project description:Activating mutations in PIK3CA, the gene encoding PI3Kα, are frequently found in estrogen receptor (ER+) breast cancer and the combination of the PI3K inhibitor alpelisib with the anti-ER agent fulvestrant is approved for therapy. We have uncovered a key role for the chromatin modifier KMT2D in regulating the ER-PI3K crosstalk. PI3Kα effectors, AKT and SGK, negatively regulate KMT2D through S1331 phosphorylation. When PI3K is inhibited, this regulatory event is lost, leading to increased chromatin recruitment of KMT2D and an upregulation of ER-dependent transcription. Here we discovered a previously undescribed methylation site on KMT2D, at K1330 directly adjacent to S1331, catalyzed by the lysine methyltransferase SMYD2. SMYD2 loss attenuates alpelisib-induced KMT2D chromatin binding. Accordingly, loss of SMYD2 abrogates alpelisib-induced changes in gene expression, including ER-dependent transcription. Knockdown or pharmacological inhibition of SMYD2 sensitizes breast cancer cells, patient-derived organoids, and tumors to PI3K/AKT inhibition and endocrine therapy in part through KMT2D K1330 methylation. Methyl dead knock-in clones of KMT2D phenocopy many of the effects of SMYD2 inhibition on cell and tumor growth, drug response, and transcriptional output. Together, our findings uncover a regulatory cross-talk between posttranslational modifications that plays an important role in fine-tuning the functions of KMT2D at the chromatin. This provides a rationale for epigenetic therapy using SMYD2 inhibitors in combination with PI3Kα/AKT inhibitors for the treatment of ER+/PIK3CA mutant breast cancer.
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Project description:Shared PPARα/γ target genes regulate brown adipocyte thermogenic function (RNA-Seq)
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Project description:Purpose: Methyltransferase SMYD2 has been implicated in cancer cell growth and cardiomyocytes development. However, its role in vascular smooth muscle cell(VSMC) is still unknown. This study aims to investigate differentially expressed genes in Flox and SMYD2 knockout VSMC. Methods:RNA profiles of Aortic Smooth Muscle Cell isolated from Flox and SMYD2 knockout (SMYD2−/−) mice were generated by deep sequencing, in triplicate, using BGISEQ-500 platform. Firstly, we filter the low quality reads (More than 20% of the bases qualities are lower than 10),reads with adaptors and reads with unknown bases (N bases more than 5%)to get the clean reads. Then we map those clean reads onto reference genome, followed with novel gene prediction, SNP &INDEL calling and gene splicing detection. Finally, we identify DEGs (differentially expressed genes) between samples and do clustering analysis and functional annotations. Results: In our project, we sequenced 6 samples on BGISEQ-500 Platform in total and generated about 4.69 Gb per sample. The average genome mapping rate is 96.62% and the average gene mapping rate is 80.92%. 18,112 genes were identified in which 16,992 of them are known genes and 1,351 of them are novel genes. 13,680 novel transcipts were identified in which 11,251 of them are previously unknown splicing event for known genes, 1,351 of them are novel coding transcripts without any known features, and the remaining 1,078 are long noncoding RNA. Conclusions: Our study represents the first detailed analysis of SMYD2 KO VSMC transcriptomes, with biologic replicates, generated by RNA-seq technology.
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