A role for alternative splicing in circadian control of exocytosis and glucose homeostasis.
Biliana Marcheva, Mark Perelis, Benjamin J Weidemann, Akihiko Taguchi, Haopeng Lin, Chiaki Omura, Yumiko Kobayashi, Marsha V Newman, Eugene J Wyatt, Elizabeth M McNally, Jocelyn E Manning Fox, Heekyung Hong, Archana Shankar, Emily C Wheeler, Kathryn Moynihan Ramsey, Patrick E MacDonald, Gene W Yeo, Joseph Bass
Genes & development · 2020 · Vol. 34 (15-16) · pp. 1089-1105
Abstract
The circadian clock is encoded by a negative transcriptional feedback loop that coordinates physiology and behavior through molecular programs that remain incompletely understood. Here, we reveal rhythmic genome-wide alternative splicing (AS) of pre-mRNAs encoding regulators of peptidergic secretion within pancreatic β cells that are perturbed in <i>Clock</i><sup>-/-</sup> and <i>Bmal1</i><sup>-/-</sup> β-cell lines. We show that the RNA-binding protein THRAP3 (thyroid hormone receptor-associated protein 3) regulates circadian clock-dependent AS by binding to exons at coding sequences flanking exons that are more frequently skipped in clock mutant β cells, including transcripts encoding <i>Cask</i> (<i>calcium/calmodulin-dependent serine protein kinase</i>) and <i>Madd</i> (<i>MAP kinase-activating death domain</i>). Depletion of THRAP3 restores expression of the long isoforms of <i>Cask</i> and <i>Madd</i>, and mimicking exon skipping in these transcripts through antisense oligonucleotide delivery in wild-type islets reduces glucose-stimulated insulin secretion. Finally, we identify shared networks of alternatively spliced exocytic genes from islets of rodent models of diet-induced obesity that significantly overlap with clock mutants. Our results establish a role for pre-mRNA alternative splicing in β-cell function across the sleep/wake cycle.
Linked datasets 1
A role for alternative splicing in circadian control of insulin secretion and glucose homeostasis
Mus musculus
46 data files
| File | Type | Size |
|---|---|---|
| BKO_RNA_1_R1.fastq | RNA-Seq | 1.4 GB |
| BKO_RNA_2_R1.fastq | RNA-Seq | 1.8 GB |
| BKO_RNA_3_R1.fastq | RNA-Seq | 1.2 GB |
| BKO_THRAP3_ChIPseq_Input.fq.gz | ChIP-Seq | 476.9 MB |
| BKO_THRAP3_ChIPseq_rep1.fq.gz | ChIP-Seq | 580.2 MB |
| BKO_THRAP3_ChIPseq_rep2.fq.gz | ChIP-Seq | 650.8 MB |
| BKO_THRAP3_eCLIP_input1.fastq.gz | OTHER | 1.3 GB |
| BKO_THRAP3_eCLIP_input2.fastq.gz | OTHER | 471.0 MB |
| BKO_THRAP3_eCLIP_IP1.fastq.gz | OTHER | 907.5 MB |
| BKO_THRAP3_eCLIP_IP2.fastq.gz | OTHER | 685.2 MB |
| CKO_RNA_1_R1.fastq | RNA-Seq | 1.3 GB |
| CKO_RNA_2_R1.fastq | RNA-Seq | 1.1 GB |
| CKO_RNA_3_R1.fastq | RNA-Seq | 1.1 GB |
| SRR11300801_GSM4409569 | RNA-Seq | 1.4 GB |
| SRR11300802_GSM4409570 | RNA-Seq | 1.3 GB |
| SRR11300803_GSM4409571 | RNA-Seq | 1.1 GB |
| SRR11300804_GSM4409572 | RNA-Seq | 1.4 GB |
| SRR11300805_GSM4409573 | RNA-Seq | 1.8 GB |
| SRR11300806_GSM4409574 | RNA-Seq | 1.2 GB |
| SRR11300807_GSM4409575 | RNA-Seq | 1.3 GB |
| SRR11300808_GSM4409576 | RNA-Seq | 1.1 GB |
| SRR11300809_GSM4409577 | RNA-Seq | 1.1 GB |
| SRR12424181_GSM4718539 | ChIP-Seq | 567.0 MB |
| SRR12424182_GSM4718540 | ChIP-Seq | 578.0 MB |
| SRR12424183_GSM4718541 | ChIP-Seq | 513.0 MB |
| SRR12424184_GSM4718542 | OTHER | 1.7 GB |
| SRR12424185_GSM4718543 | OTHER | 930.0 MB |
| SRR12424186_GSM4718544 | OTHER | 1.5 GB |
| SRR12424187_GSM4718545 | OTHER | 1.1 GB |
| SRR12424188_GSM4718546 | ChIP-Seq | 580.0 MB |
| SRR12424189_GSM4718547 | ChIP-Seq | 650.0 MB |
| SRR12424190_GSM4718548 | ChIP-Seq | 476.0 MB |
| SRR12424191_GSM4718549 | OTHER | 907.0 MB |
| SRR12424192_GSM4718550 | OTHER | 685.0 MB |
| SRR12424193_GSM4718551 | OTHER | 1.3 GB |
| SRR12424194_GSM4718552 | OTHER | 471.0 MB |
| WT_RNA_1_R1.fastq | RNA-Seq | 1.4 GB |
| WT_RNA_2_R1.fastq | RNA-Seq | 1.3 GB |
| WT_RNA_3_R1.fastq | RNA-Seq | 1.1 GB |
| WT_THRAP3_ChIPseq_Input.fq.gz | ChIP-Seq | 513.4 MB |
| WT_THRAP3_ChIPseq_rep1.fq.gz | ChIP-Seq | 567.5 MB |
| WT_THRAP3_ChIPseq_rep2.fq.gz | ChIP-Seq | 578.3 MB |
| WT_THRAP3_eCLIP_input1.fastq.gz | OTHER | 1.5 GB |
| WT_THRAP3_eCLIP_input2.fastq.gz | OTHER | 1.1 GB |
| WT_THRAP3_eCLIP_IP1.fastq.gz | OTHER | 1.7 GB |
| WT_THRAP3_eCLIP_IP2.fastq.gz | OTHER | 930.9 MB |
Potentially related datasets 4
These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.
| Accession | Source | Title |
|---|---|---|
| GSE69889 | GSE · GEO GEO ↗ | Genome-wide Circadian Control of Transcription at Active Enhancers Regulates Insulin Secretion and Diabetes Risk |
| GSE92602 | GSE · GEO GEO ↗ | Identification of islet-enriched long non-coding RNAs contributing to beta-cell failure in type 2 diabetes |
| GSE95156 | GSE · GEO GEO ↗ | Pancreatic alpha and beta-cellular clocks have distinct molecular properties and impact on islet hormone secretion and gene expression |
| GSE146916 | GSE · GEO GEO ↗ | A role for alternative splicing in circadian control of insulin secretion and glucose homeostasis |
Analysis pipelines 4
| Pipeline | Assay | Steps | Dataset |
|---|---|---|---|
| GSE146916 eCLIP Data Processing geo_data_processing | eCLIP | 4 | GSE146916 |
| GSE69889 RNA-seq Data Processing geo_data_processing | RNA-seq | 5 | GSE69889 |
| GSE92602 RNA-seq Data Processing geo_data_processing | RNA-seq | 5 | GSE92602 |
| GSE95156 Data Processing geo_data_processing | — | 7 | GSE95156 |
Funding 22 grants
| Grant | Funder |
|---|---|
| R01 HG004659 | NHGRI NIH HHS (United States) |
| F32 HL143978 | NHLBI NIH HHS (United States) |
| T32 GM145427 | NIGMS NIH HHS (United States) |
| T32 GM008666 | NIGMS NIH HHS (United States) |
| R01 DK090625 | NIDDK NIH HHS (United States) |
| CIHR (Canada) | |
| R01 HL061322 | NHLBI NIH HHS (United States) |
| U54 AR052646 | NIAMS NIH HHS (United States) |
| R01 DK113011 | NIDDK NIH HHS (United States) |
| T32 GM008152 | NIGMS NIH HHS (United States) |
| R01 NS047726 | NINDS NIH HHS (United States) |
| R01 DK050203 | NIDDK NIH HHS (United States) |
| R01 AG065988 | NIA NIH HHS (United States) |
| T32 GM144295 | NIGMS NIH HHS (United States) |
| R01 DK100814 | NIDDK NIH HHS (United States) |
| T32 DK007169 | NIDDK NIH HHS (United States) |
| T32 HL007909 | NHLBI NIH HHS (United States) |
| F30 DK116481 | NIDDK NIH HHS (United States) |
| R01 HL140938 | NHLBI NIH HHS (United States) |
| P30 DK020595 | NIDDK NIH HHS (United States) |
| P60 DK020595 | NIDDK NIH HHS (United States) |
| P01 AG011412 | NIA NIH HHS (United States) |