2023
DOI: 10.1038/s41467-023-41033-y
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Divergent single cell transcriptome and epigenome alterations in ALS and FTD patients with C9orf72 mutation

Junhao Li,
Manoj K. Jaiswal,
Jo-Fan Chien
et al.

Abstract: A repeat expansion in the C9orf72 (C9) gene is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Here we investigate single nucleus transcriptomics (snRNA-seq) and epigenomics (snATAC-seq) in postmortem motor and frontal cortices from C9-ALS, C9-FTD, and control donors. C9-ALS donors present pervasive alterations of gene expression with concordant changes in chromatin accessibility and histone modifications. The greatest alterations occur in upper and deep … Show more

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Cited by 14 publications
(13 citation statements)
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References 124 publications
(118 reference statements)
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“…Differential expression analysis for sporadic ALS data was carried out following the procedures outlined in the previous RNA sequencing section. Meanwhile, the differential expression analysis for snRNA-seq data was downloaded from Supplementary Dataset 3 of the corresponding study [ 50 ].…”
Section: Methodsmentioning
confidence: 99%
“…Differential expression analysis for sporadic ALS data was carried out following the procedures outlined in the previous RNA sequencing section. Meanwhile, the differential expression analysis for snRNA-seq data was downloaded from Supplementary Dataset 3 of the corresponding study [ 50 ].…”
Section: Methodsmentioning
confidence: 99%
“…As others have shown, unique cell types respond differently to pathology [ 76 ]. Future single-cell/nuclei studies in the cerebellum will be essential for revealing cell-type-specific disease mechanisms and vulnerable cell populations, similar to a recent study of the frontal cortex [ 47 ]. This would help to determine whether a given event is mainly present in a specific type of cell and to elucidate whether differences in cellular proportions might, in part, contribute to some of the observed findings (e.g., splicing events).…”
Section: Discussionmentioning
confidence: 99%
“…snRNAseq localizes cryptic splicing in cortex to L2/3, L5, and L6 IT excitatory neurons Finally, we sought to determine the cell-type enrichment of our cryptic splices, utilizing snRNAseq datasets from two recent studies profiling (1) motor cortex from sporadic and C9orf72 ALS and FTLD patients (Pineda et al) [27] and (2) motor and frontal cortex (analyzed separately) from C9orf72 ALS and FTLD patients (Li et al) [15]. After QC and mutual-nearest-neighbor batch correction [12], 415,741 nuclei were retained from Pineda yielding 29 clusters (Figure 5a).…”
Section: Validation Of Cryptic Splices By Rt-qpcr and Rnaseqmentioning
confidence: 99%
“…Alignment and splice variant quantification were performed as described above. were analyzed separately, using the scuttle, scran, and scater packages [15,19,21,27]. snRNA-seq quality control metrics (total number of unique molecular identifiers (UMIs), number of detected genes, and mitochondrial read percentage) were computed for each nucleus, and sample-wise outlier-based filtering was performed to remove nuclei with any metric >3 median absolute deviations from the sample median.…”
Section: Bulk-rnaseq Of Lumbar Spinal Cord Samples From Als and Controlsmentioning
confidence: 99%