MECP2-related pathways are dysregulated in a cortical organoid model of myotonic dystrophy.
Kathryn H Morelli, Wenhao Jin, Shashank Shathe, Assael A Madrigal, Krysten L Jones, Joshua L Schwartz, Tristan Bridges, Jasmine R Mueller, Archana Shankar, Isaac A Chaim, John W Day, Gene W Yeo
Science translational medicine · 2022 · Vol. 14 (651) · pp. eabn2375
Abstract
Myotonic dystrophy type 1 (DM1) is a multisystem, autosomal-dominant inherited disorder caused by CTG microsatellite repeat expansions (MREs) in the 3' untranslated region of the dystrophia myotonica-protein kinase (<i>DMPK</i>) gene. Despite its prominence as the most common adult-onset muscular dystrophy, patients with congenital to juvenile-onset forms of DM1 can present with debilitating neurocognitive symptoms along the autism spectrum, characteristic of possible in utero cortical defects. However, the molecular mechanism by which CTG MREs lead to these developmental central nervous system (CNS) manifestations is unknown. Here, we showed that CUG foci found early in the maturation of three-dimensional (3D) cortical organoids from DM1 patient-derived induced pluripotent stem cells (iPSCs) cause hyperphosphorylation of CUGBP Elav-like family member 2 (CELF2) protein. Integrative single-cell RNA sequencing and enhanced cross-linking and immunoprecipitation (eCLIP) analysis revealed that reduced CELF2 protein-RNA substrate interactions results in misregulation of genes critical for excitatory synaptic signaling in glutamatergic neurons, including key components of the methyl-CpG binding protein 2 (MECP2) pathway. Comparisons to MECP2<sup>(y/-)</sup> cortical organoids revealed convergent molecular and cellular defects such as glutamate toxicity and neuronal loss. Our findings provide evidence suggesting that early-onset DM1 might involve neurodevelopmental disorder-associated pathways and identify <i>N</i>-methyl-d-aspartic acid (NMDA) antagonists as potential treatment avenues for neuronal defects in DM1.
Linked datasets 4
MECP2-related pathways are dysregulated in a cortical organoid model of Myotonic dystrophy
Homo sapiens
MECP2-related pathways are dysregulated in a cortical organoid model of Myotonic dystrophy [bulk RNA-Seq]
Homo sapiens
64 data files
| File | Type | Size |
|---|---|---|
| CVB_0m_rep1_R1.fastq.gz | RNA-Seq | 2.2 GB |
| CVB_0m_rep2_R1.fastq.gz | RNA-Seq | 13.0 GB |
| CVB_2m_rep1_R1.fastq.gz | RNA-Seq | 1.5 GB |
| CVB_2m_rep2_R1.fastq.gz | RNA-Seq | 4.2 GB |
| CVB_4m_rep1_R1.fastq.gz | RNA-Seq | 13.6 GB |
| CVB_4m_rep2_R1.fastq.gz | RNA-Seq | 12.1 GB |
| CVB_8m_rep1_R1.fastq.gz | RNA-Seq | 3.8 GB |
| CVB_8m_rep2_R1.fastq.gz | RNA-Seq | 5.6 GB |
| DM1200_0m_rep1_R1.fastq.gz | RNA-Seq | 4.4 GB |
| DM1200_0m_rep2_R1.fastq.gz | RNA-Seq | 2.8 GB |
| DM1200_2m_rep1_R1.fastq.gz | RNA-Seq | 4.0 GB |
| DM1200_2m_rep2_R1.fastq.gz | RNA-Seq | 307.3 MB |
| DM1200_4m_rep1_R1.fastq.gz | RNA-Seq | 6.1 GB |
| DM1200_4m_rep2_R1.fastq.gz | RNA-Seq | 6.3 GB |
| DM1200_8m_rep1_R1.fastq.gz | RNA-Seq | 24.5 GB |
| DM1200_8m_rep2_R1.fastq.gz | RNA-Seq | 1.1 GB |
| DM600_0m_rep1_R1.fastq.gz | RNA-Seq | 51.2 KB |
| DM600_0m_rep2_R1.fastq.gz | RNA-Seq | 5.8 GB |
| DM600_2m_rep1_R1.fastq.gz | RNA-Seq | 10.0 GB |
| DM600_2m_rep2_R1.fastq.gz | RNA-Seq | 9.5 GB |
| DM600_4m_rep1_R1.fastq.gz | RNA-Seq | 4.7 GB |
| DM600_4m_rep2_R1.fastq.gz | RNA-Seq | 12.3 GB |
| DM600_8m_rep1_R1.fastq.gz | RNA-Seq | 4.2 GB |
| DM600_8m_rep2_R1.fastq.gz | RNA-Seq | 6.0 GB |
| Kin_0m_rep1_R1.fastq.gz | RNA-Seq | 4.1 GB |
| Kin_0m_rep2_R1.fastq.gz | RNA-Seq | 4.5 GB |
| Kin_2m_rep1_R1.fastq.gz | RNA-Seq | 4.3 GB |
| Kin_2m_rep2_R1.fastq.gz | RNA-Seq | 4.1 GB |
| Kin_4m_rep1_R1.fastq.gz | RNA-Seq | 8.0 GB |
| Kin_4m_rep2_R1.fastq.gz | RNA-Seq | 6.7 GB |
| Kin_8m_rep1_R1.fastq.gz | RNA-Seq | 5.2 GB |
| Kin_8m_rep2_R1.fastq.gz | RNA-Seq | 6.4 GB |
| SRR18976210_GSM6077745 | RNA-Seq | 6.4 GB |
| SRR18976211_GSM6077744 | RNA-Seq | 5.2 GB |
| SRR18976212_GSM6077743 | RNA-Seq | 6.7 GB |
| SRR18976213_GSM6077742 | RNA-Seq | 8.0 GB |
| SRR18976214_GSM6077741 | RNA-Seq | 4.1 GB |
| SRR18976215_GSM6077740 | RNA-Seq | 4.3 GB |
| SRR18976216_GSM6077739 | RNA-Seq | 4.5 GB |
| SRR18976217_GSM6077738 | RNA-Seq | 4.1 GB |
| SRR18976218_GSM6077737 | RNA-Seq | 6.0 GB |
| SRR18976219_GSM6077736 | RNA-Seq | 4.2 GB |
| SRR18976220_GSM6077735 | RNA-Seq | 12.3 GB |
| SRR18976221_GSM6077734 | RNA-Seq | 4.7 GB |
| SRR18976222_GSM6077733 | RNA-Seq | 9.5 GB |
| SRR18976223_GSM6077732 | RNA-Seq | 10.0 GB |
| SRR18976224_GSM6077731 | RNA-Seq | 5.8 GB |
| SRR18976225_GSM6077730 | RNA-Seq | |
| SRR18976226_GSM6077729 | RNA-Seq | 1.1 GB |
| SRR18976227_GSM6077728 | RNA-Seq | 24.5 GB |
| SRR18976228_GSM6077727 | RNA-Seq | 6.3 GB |
| SRR18976229_GSM6077726 | RNA-Seq | 6.1 GB |
| SRR18976230_GSM6077725 | RNA-Seq | 307.0 MB |
| SRR18976231_GSM6077724 | RNA-Seq | 4.0 GB |
| SRR18976232_GSM6077723 | RNA-Seq | 2.8 GB |
| SRR18976233_GSM6077722 | RNA-Seq | 4.4 GB |
| SRR18976234_GSM6077721 | RNA-Seq | 5.6 GB |
| SRR18976235_GSM6077720 | RNA-Seq | 3.8 GB |
| SRR18976236_GSM6077719 | RNA-Seq | 12.1 GB |
| SRR18976237_GSM6077718 | RNA-Seq | 13.6 GB |
| SRR18976238_GSM6077717 | RNA-Seq | 4.2 GB |
| SRR18976239_GSM6077716 | RNA-Seq | 1.5 GB |
| SRR18976240_GSM6077715 | RNA-Seq | 13.0 GB |
| SRR18976241_GSM6077714 | RNA-Seq | 2.2 GB |
MECP2-related pathways are dysregulated in a cortical organoid model of Myotonic dystrophy [scRNA-Seq]
Homo sapiens
11 data files
| File | Type | Size |
|---|---|---|
| Control_6M_possorted_genome_bam.bam | RNA-Seq | 15.2 GB |
| DM1200_6M_possorted_genome_bam.bam | RNA-Seq | 13.0 GB |
| DM600_6M_possorted_genome_bam.bam | RNA-Seq | 13.2 GB |
| MECP2_KO_possorted_genome_bam.bam | RNA-Seq | 6.8 GB |
| MECP2_WT_possorted_genome_bam.bam | RNA-Seq | 9.3 GB |
| SRR18972861_GSM6077648 | RNA-Seq | 9.3 GB |
| SRR18972861.lite | RNA-Seq | 9.3 GB |
| SRR18972862_GSM6077647 | RNA-Seq | 6.8 GB |
| SRR18972863_GSM6077646 | RNA-Seq | 13.2 GB |
| SRR18972864_GSM6077645 | RNA-Seq | 13.0 GB |
| SRR18972865_GSM6077644 | RNA-Seq | 15.2 GB |
MECP2-related pathways are dysregulated in a cortical organoid model of Myotonic dystrophy [eCLIP]
Homo sapiens
32 data files
| File | Type | Size |
|---|---|---|
| Control1_6m_rep1_INPUT.fastq.gz | OTHER | 2.1 GB |
| Control1_6m_rep1_IP.fastq.gz | OTHER | 438.8 MB |
| Control1_6m_rep2_INPUT.fastq.gz | OTHER | 799.4 MB |
| Control1_6m_rep2_IP.fastq.gz | OTHER | 335.5 MB |
| Control2_6m_rep1_INPUT.fastq.gz | OTHER | 1.4 GB |
| Control2_6m_rep1_IP.fastq.gz | OTHER | 3.8 GB |
| Control2_6m_rep2_INPUT.fastq.gz | OTHER | 167.8 MB |
| Control2_6m_rep2_IP.fastq.gz | OTHER | 167.1 MB |
| DM1200_6m_rep1_INPUT.fastq.gz | OTHER | 155.0 MB |
| DM1200_6m_rep1_IP.fastq.gz | OTHER | 285.0 MB |
| DM1200_6m_rep2_INPUT.fastq.gz | OTHER | 866.8 MB |
| DM1200_6m_rep2_IP.fastq.gz | OTHER | 1.6 GB |
| DM600_6m_rep1_INPUT.fastq.gz | OTHER | 773.5 MB |
| DM600_6m_rep1_IP.fastq.gz | OTHER | 1.2 GB |
| DM600_6m_rep2_INPUT.fastq.gz | OTHER | 505.2 MB |
| DM600_6m_rep2_IP.fastq.gz | OTHER | 815.8 MB |
| SRR18973017_GSM6077706 | OTHER | 505.0 MB |
| SRR18973018_GSM6077704 | OTHER | 773.0 MB |
| SRR18973019_GSM6077702 | OTHER | 866.0 MB |
| SRR18973020_GSM6077703 | OTHER | 1.6 GB |
| SRR18973021_GSM6077705 | OTHER | 1.2 GB |
| SRR18973022_GSM6077707 | OTHER | 815.0 MB |
| SRR18973023_GSM6077701 | OTHER | 285.0 MB |
| SRR18973024_GSM6077699 | OTHER | 167.0 MB |
| SRR18973025_GSM6077697 | OTHER | 3.8 GB |
| SRR18973026_GSM6077695 | OTHER | 335.0 MB |
| SRR18973027_GSM6077694 | OTHER | 799.0 MB |
| SRR18973028_GSM6077696 | OTHER | 1.4 GB |
| SRR18973029_GSM6077698 | OTHER | 167.0 MB |
| SRR18973030_GSM6077700 | OTHER | 155.0 MB |
| SRR18973031_GSM6077693 | OTHER | 438.0 MB |
| SRR18973032_GSM6077692 | OTHER | 2.1 GB |
Potentially related datasets 1
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.
Analysis pipelines 4
| Pipeline | Assay | Steps | Dataset |
|---|---|---|---|
| GSE201891 scRNA-seq Data Processing geo_data_processing | scRNA-seq | 3 | GSE201891 |
| GSE201895 eCLIP Data Processing geo_data_processing | eCLIP | 8 | GSE201895 |
| GSE201897 RNA-seq Data Processing geo_data_processing | RNA-seq | 3 | GSE201897 |
| GSE201898 Data Processing geo_data_processing | — | 3 | GSE201898 |
Funding 12 grants
| Grant | Funder |
|---|---|
| U24 HG009889 | NHGRI NIH HHS (United States) |
| S10 OD026929 | NIH HHS (United States) |
| R01 HG004659 | NHGRI NIH HHS (United States) |
| R01 NS103172 | NINDS NIH HHS (United States) |
| U41 HG009889 | NHGRI NIH HHS (United States) |
| P01 AI132122 | NIAID NIH HHS (United States) |
| S10 OD025052 | NIH HHS (United States) |
| U19 MH107367 | NIMH NIH HHS (United States) |
| R01 AI123202 | NIAID NIH HHS (United States) |
| K12 GM068524 | NIGMS NIH HHS (United States) |
| F32 NS112654 | NINDS NIH HHS (United States) |
| R01 EY029166 | NEI NIH HHS (United States) |