Gain-of-function cardiomyopathic mutations in RBM20 rewire splicing regulation and re-distribute ribonucleoprotein granules within processing bodies.
Aidan M Fenix, Yuichiro Miyaoka, Alessandro Bertero, Steven M Blue, Matthew J Spindler, Kenneth K B Tan, Juan A Perez-Bermejo, Amanda H Chan, Steven J Mayerl, Trieu D Nguyen, Caitlin R Russell, Paweena P Lizarraga, Annie Truong, Po-Lin So, Aishwarya Kulkarni, Kashish Chetal, Shashank Sathe, Nathan J Sniadecki, Gene W Yeo, Charles E Murry, Bruce R Conklin, Nathan Salomonis
Nature communications · 2021 · Vol. 12 (1) · pp. 6324
Abstract
Mutations in the cardiac splicing factor RBM20 lead to malignant dilated cardiomyopathy (DCM). To understand the mechanism of RBM20-associated DCM, we engineered isogenic iPSCs with DCM-associated missense mutations in RBM20 as well as RBM20 knockout (KO) iPSCs. iPSC-derived engineered heart tissues made from these cell lines recapitulate contractile dysfunction of RBM20-associated DCM and reveal greater dysfunction with missense mutations than KO. Analysis of RBM20 RNA binding by eCLIP reveals a gain-of-function preference of mutant RBM20 for 3' UTR sequences that are shared with amyotrophic lateral sclerosis (ALS) and processing-body associated RNA binding proteins (FUS, DDX6). Deep RNA sequencing reveals that the RBM20 R636S mutant has unique gene, splicing, polyadenylation and circular RNA defects that differ from RBM20 KO. Super-resolution microscopy verifies that mutant RBM20 maintains very limited nuclear localization potential; rather, the mutant protein associates with cytoplasmic processing bodies (DDX6) under basal conditions, and with stress granules (G3BP1) following acute stress. Taken together, our results highlight a pathogenic mechanism in cardiac disease through splicing-dependent and -independent pathways.
Linked datasets 5
RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing (RiboMinus RNA-Seq)
Homo sapiens
16 data files
| File | Type | Size |
|---|---|---|
| 8bp_del_Homo_1_S10.bam | RNA-Seq | 309.5 MB |
| 8bp_del_Homo_2_S2.bam | RNA-Seq | 372.0 MB |
| R636S_Het_1_S4.bam | RNA-Seq | 309.7 MB |
| R636S_Het_2_S5.bam | RNA-Seq | 312.0 MB |
| R636S_Het_3_S6.bam | RNA-Seq | 262.5 MB |
| R636S_Homo_S7.bam | RNA-Seq | 341.0 MB |
| SRR14699656_GSM5350776 | RNA-Seq | 355.0 MB |
| SRR14699657_GSM5350777 | RNA-Seq | 304.0 MB |
| SRR14699658_GSM5350778 | RNA-Seq | 309.0 MB |
| SRR14699659_GSM5350779 | RNA-Seq | 312.0 MB |
| SRR14699660_GSM5350780 | RNA-Seq | 262.0 MB |
| SRR14699661_GSM5350781 | RNA-Seq | 341.0 MB |
| SRR14699662_GSM5350782 | RNA-Seq | 309.0 MB |
| SRR14699663_GSM5350783 | RNA-Seq | 372.0 MB |
| WT_GCaMP_1_S1.bam | RNA-Seq | 355.1 MB |
| WT_GCaMP_2_S3.bam | RNA-Seq | 304.9 MB |
RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing
Homo sapiens
RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing (eCLIP)
Homo sapiens
16 data files
| File | Type | Size |
|---|---|---|
| SB_RBM20_Homo1_CLIP_R_S53_L003_R1_001.fastq.gz | OTHER | 955.4 MB |
| SB_RBM20_Homo1_IN_R_S52_L003_R1_001.fastq.gz | OTHER | 1008.4 MB |
| SB_RBM20_Homo2_CLIP_R_S67_L004_R1_001.fastq.gz | OTHER | 969.1 MB |
| SB_RBM20_Homo2_IN_R_S66_L004_R1_001.fastq.gz | OTHER | 1009.9 MB |
| SB_RBM20_WT1_CLIP_R_S51_L003_R1_001.fastq.gz | OTHER | 1.0 GB |
| SB_RBM20_WT1_IN_R_S50_L003_R1_001.fastq.gz | OTHER | 1.0 GB |
| SB_RBM20_WT2_CLIP_R_S65_L004_R1_001.fastq.gz | OTHER | 1.0 GB |
| SB_RBM20_WT2_IN_R_S64_L004_R1_001.fastq.gz | OTHER | 1.1 GB |
| SRR14724399_GSM5354304 | OTHER | 1.0 GB |
| SRR14724400_GSM5354305 | OTHER | 1.0 GB |
| SRR14724401_GSM5354306 | OTHER | 1.1 GB |
| SRR14724402_GSM5354307 | OTHER | 1.0 GB |
| SRR14724403_GSM5354308 | OTHER | 1008.0 MB |
| SRR14724404_GSM5354309 | OTHER | 955.0 MB |
| SRR14724405_GSM5354310 | OTHER | 1009.0 MB |
| SRR14724406_GSM5354311 | OTHER | 969.0 MB |
RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing (WTB RNA-Seq)
Homo sapiens
9 data files
| File | Type | Size |
|---|---|---|
| SRR14713281_GSM5353720 | RNA-Seq | 9.9 GB |
| SRR14713282_GSM5353721 | RNA-Seq | 9.3 GB |
| SRR14713283_GSM5353722 | RNA-Seq | 4.4 GB |
| SRR14713284_GSM5353723 | RNA-Seq | 10.7 GB |
| SRR14713284.lite | RNA-Seq | 10.7 GB |
| WTB_Het_R636-S1-r1_R1.fastq.gz | RNA-Seq | 4.4 GB |
| WTB_Het_R636-S2_r1_R1.fastq.gz | RNA-Seq | 10.7 GB |
| WTB_WT-S1_r1_R1.fastq.gz | RNA-Seq | 9.9 GB |
| WTB_WT-S2_r1_R1.fastq.gz | RNA-Seq | 9.3 GB |
RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing [RNA-Seq]
Homo sapiens
48 data files
| File | Type | Size |
|---|---|---|
| SRR7092055_GSM3124390 | RNA-Seq | 12.0 GB |
| SRR7092056_GSM3124391 | RNA-Seq | 6.8 GB |
| SRR7092057_GSM3124392 | RNA-Seq | 6.8 GB |
| SRR7092058_GSM3124393 | RNA-Seq | 14.6 GB |
| SRR7092059_GSM3124394 | RNA-Seq | 7.8 GB |
| SRR7092060_GSM3124395 | RNA-Seq | 10.5 GB |
| SRR7092061_GSM3124396 | RNA-Seq | 9.3 GB |
| SRR7092062_GSM3124397 | RNA-Seq | 3.5 GB |
| SRR7092063_GSM3124398 | RNA-Seq | 6.0 GB |
| SRR7092064_GSM3124399 | RNA-Seq | 7.8 GB |
| SRR7092065_GSM3124400 | RNA-Seq | 5.7 GB |
| SRR7092066_GSM3124401 | RNA-Seq | 6.8 GB |
| SRR7092067_GSM3124402 | RNA-Seq | 6.0 GB |
| SRR7092068_GSM3124403 | RNA-Seq | 7.4 GB |
| SRR7092069_GSM3124404 | RNA-Seq | 6.4 GB |
| SRR7092070_GSM3124405 | RNA-Seq | 5.7 GB |
| SRR7092071_GSM3124406 | RNA-Seq | 11.3 GB |
| SRR7092072_GSM3124407 | RNA-Seq | 5.1 GB |
| SRR7092073_GSM3124408 | RNA-Seq | 13.1 GB |
| SRR7092074_GSM3124409 | RNA-Seq | 4.8 GB |
| SRR7092075_GSM3124410 | RNA-Seq | 9.6 GB |
| WTC_638_Del_8_1-S6_r4_R1.fastq.gz | RNA-Seq | 12.0 GB |
| WTC_638_Del_8_1-S6_r4_R2.fastq.gz | RNA-Seq | 12.0 GB |
| WTC_638_Del_8_2-S7_r4_R1.fastq.gz | RNA-Seq | 6.8 GB |
| WTC_638_Del_8_3-S8_r4_R1.fastq.gz | RNA-Seq | 6.8 GB |
| WTC_638_Del_8_3-S8_r4_R1.fastq.gz | RNA-Seq | 6.8 GB |
| WTC_638_Del_8_4_S9_r4_R1.fastq.gz | RNA-Seq | 14.6 GB |
| WTC_Het_R636-S16_r3_R1.fastq.gz | RNA-Seq | 3.5 GB |
| WTC_Het_R636-S19_r3_R1.fastq.gz | RNA-Seq | 6.0 GB |
| WTC_Het_R636-S1_r2_R1.fastq.gz | RNA-Seq | 7.8 GB |
| WTC_Het_R636-S1_r2_R1.fastq.gz | RNA-Seq | 7.8 GB |
| WTC_Het_R636-S22_r3_R1.fastq.gz | RNA-Seq | 7.8 GB |
| WTC_Het_R636-S2_r2_R1.fastq.gz | RNA-Seq | 10.5 GB |
| WTC_Het_R636-S3_r2_R1.fastq.gz | RNA-Seq | 9.3 GB |
| WTC_Het_R636-S3_r2_R1.fastq.gz | RNA-Seq | 9.3 GB |
| WTC_Homo_R636-S17_r3_R1.fastq.gz | RNA-Seq | 5.7 GB |
| WTC_Homo_R636-S17_r3_R1.fastq.gz | RNA-Seq | 5.7 GB |
| WTC_Homo_R636-S20_r3_R1.fastq.gz | RNA-Seq | 6.8 GB |
| WTC_Homo_R636-S23_r3_R1.fastq.gz | RNA-Seq | 6.0 GB |
| WTC_WT-S14_r4_R1.fastq.gz | RNA-Seq | 11.3 GB |
| WTC_WT-S15_r3_R1.fastq.gz | RNA-Seq | 5.1 GB |
| WTC_WT-S15_r4_R1.fastq.gz | RNA-Seq | 13.1 GB |
| WTC_WT-S18_r3_R1.fastq.gz | RNA-Seq | 4.8 GB |
| WTC_WT-S1_r2_R1.fastq.gz | RNA-Seq | 7.4 GB |
| WTC_WT-S1_r2_R1.fastq.gz | RNA-Seq | 7.4 GB |
| WTC_WT-S21_r3_R1.fastq.gz | RNA-Seq | 9.6 GB |
| WTC_WT-S2_r2_R1.fastq.gz | RNA-Seq | 6.4 GB |
| WTC_WT-S3_r2_R1.fastq.gz | RNA-Seq | 5.7 GB |
Potentially related datasets 3
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 |
|---|---|---|
| GSE118347 | GSE · GEO GEO ↗ | Mutant FUS and ELAVL4 (HuD) aberrant crosstalk in Amyotrophic Lateral Sclerosis |
| PRJNA579336 | PRJNA · BioProject | No title in the index |
| GSE175886 | GSE · GEO GEO ↗ | RNA-Seq of isogenic human iPS cell-derived cardiomyocytes with RBM20 mutations created by genome editing |
Analysis pipelines 6
| Pipeline | Assay | Steps | Dataset |
|---|---|---|---|
| GSE113947 RNA-seq Data Processing geo_data_processing | RNA-seq | 4 | GSE113947 |
| GSE118347 CLIP-seq Data Processing geo_data_processing | CLIP-seq | 10 | GSE118347 |
| GSE175885 RNA-seq Data Processing geo_data_processing | RNA-seq | 5 | GSE175885 |
| GSE175886 RNA-seq Data Processing geo_data_processing | RNA-seq | 4 | GSE175886 |
| GSE176045 RNA-seq Data Processing geo_data_processing | RNA-seq | 4 | GSE176045 |
| GSE176060 eCLIP Data Processing geo_data_processing | eCLIP | 3 | GSE176060 |
Funding 14 grants
| Grant | Funder |
|---|---|
| R01 HG004659 | NHGRI NIH HHS (United States) |
| P01 HL089707 | NHLBI NIH HHS (United States) |
| U01 HL099997 | NHLBI NIH HHS (United States) |
| U01 ES032673 | NIEHS NIH HHS (United States) |
| R01 HL128368 | NHLBI NIH HHS (United States) |
| U54 DK107979 | NIDDK NIH HHS (United States) |
| R01 HL141570 | NHLBI NIH HHS (United States) |
| R01 CA226802 | NCI NIH HHS (United States) |
| F32 HL156361 | NHLBI NIH HHS (United States) |
| R01 HL128362 | NHLBI NIH HHS (United States) |
| R01 HL149734 | NHLBI NIH HHS (United States) |
| R01 HL146868 | NHLBI NIH HHS (United States) |
| U54 HG007005 | NHGRI NIH HHS (United States) |
| R01 HL130533 | NHLBI NIH HHS (United States) |