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GSE157467

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Persistent mRNA localization defects and cell death in ALS neurons caused by transient cellular stress

Organism: Homo sapiens
Platform: GPL20301
Samples: 130
Experiment Types:
Expression profiling by high throughput sequencing Other
Submitted: Sep 04 2020
Last Updated: Mar 21 2022
Status: Public on Aug 01 2021
Contact: Gene,,Yeo (UCSD)

Relations

BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA661432 SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP280075

Summary

Neurodegeneration-associated mutations affect the dynamics of transient cytoplasmic stress granule (SG). However, it is unclear if and how aberrant SG behavior is linked to the downstream formation of protein aggregates and other molecular defects that persist after stress subsides. Using subcellular fractionation combined with RNA-seq (CeFra-seq) we characterize the global mRNA localization landscape in human pluripotent stem cell-derived motor neuron (PS-MN). Using CeFra-seq and quantitative proteomics, we find that transient stress leads to a widespread reshaping of mRNA and protein localization that recapitulates key molecular phenotypes of Amyotrophic Lateral Sclerosis (ALS). While the substantial reorganization of the global mRNA localization landscape is largely reversible in wild type PS-MNs, we find that cells harboring ALS-linked mutations in HNRNPA2B1 are unable to recover and display a delayed-onset increase in neuronal cell death in response to stress. Our findings reaffirm the importance of stress-induced molecular mechanisms in the formation of molecular disease pathology of ALS and highlight the importance of targeting SG-relevant molecular mechanisms in the development of therapeutic strategies.

Overall Design

Analysis of global mRNA localization in stem cells, stem cell-derived motor neurons and stem cell-derived motor neurons exposed to cellular stress and/or harboring ALS-associated mutations in HNRNPA2B1

Analysis (6 steps)

View Data Processing
Processing steps for GSE157467
  1. Fastq files were trimmed for adapters using cutadapt
  2. Trimmed reads were aligned to the human genome build hg19 using STAR aligner
  3. seCLIP : Binding region peaks were identified based on read pileup densities (Clipper)
  4. seCLIP : Reproducible peaks were identified by comparing replicate read pileups along binding regions
  5. wiggle files
  6. peak text files

Supplementary Files (8)

GSE157467_G3BP_puro_reproducible_annotated_peaks.bed.gz Download
GSE157467_G3BP_ut_reproducible_annotated_peaks.bed.gz Download
GSE157467_RAW.tar Download
GSE157467_TDP43_puro_reproducible_annotated_peaks.bed.gz Download
GSE157467_TDP43_ut_reproducible_annotated_peaks.bed.gz Download
GSE157467_TIA1_puro_annotated_peaks.bed.gz Download
GSE157467_TIA1_ut_reproducible_annotated_peaks.bed.gz Download
GSE157467_deseq2_normalized_counts.txt.gz Download
GEO Samples (130)

Dataset Citations (1)

Potentially Related Publications (1)

This accession was text-mined from the PMC full text of these publications. It may be referenced for comparison or reused from another study rather than generated for them.

Data Files (10)

Accession File Name Stored Type Output Type Mapping Assembly Size Download
— nuc_CR463_rec_rep1.fastq.gz RNA-Seq 645.6 MB link
— nuc_CR463_rec_rep2.fastq.gz RNA-Seq 1.1 GB link
— nuc_CR463_ut_rep1.fastq.gz RNA-Seq 1.9 GB link
— nuc_CR463_ut_rep2.fastq.gz RNA-Seq 1.2 GB link
— nuc_CR464_puro_rep1.fastq.gz RNA-Seq 2.3 GB link
— nuc_CR464_puro_rep2.fastq.gz RNA-Seq 1.1 GB link
— nuc_CR464_rec_rep1.fastq.gz RNA-Seq 1.2 GB link
— nuc_CR464_rec_rep2.fastq.gz RNA-Seq 1.3 GB link
— nuc_CR464_ut_rep1.fastq.gz RNA-Seq 1.1 GB link
— nuc_CR464_ut_rep2.fastq.gz RNA-Seq 1.4 GB link