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This repository contains scripts to analyse the data and reproduce the figures from the ALS astrocyte meta-analysis A1 paper

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Meta-analysis of human and mouse ALS astrocytes reveals multiomic signatures of inflammatory reactive states

This repository contains scripts to analyse the data and reproduce the figures from the ALS astrocyte meta-analysis and correlation with A1 astrocyte project.

Meta-analysis of human and mouse ALS astrocytes reveals multiomic signatures of inflammatory reactive states. Oliver J. Ziff*, Benjamin E. Clarke*, Doaa M. Taha*, Hamish Crerar, Nicholas M. Luscombe, Rickie Patani

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The scripts are written in Rmarkdown documents for readability and are organised in order of the Figures and Tables in the paper.

All raw and processed mRNA sequencing data generated in this study have been deposited in the NCBI Sequence Read Archive (BioProject Gene Expression Omnibus) under accession number GSE160133. Raw Mass Spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD022604.

Meta-analysis results can be browsed in the interactive web application at https://shiny.crick.ac.uk/ALS_reactive_astrocytes_meta/

In total 16 public sequencing datasets were used in this study:

Comparison Sample Type Region Accession # Ref
Purified CNS cell types from different regions human biopsy Multiple CNS regions GSE73721 Zhang et al., 2016
Region specific hiPSC Ventral & dorsal; forebrain & spinal cord GSE133489 Bradley et al., 2019
VCP vs Control hiPSC Ventral spinal cord GSE160133 Ziff et al., 2021
C9orf72 vs Control hiPSC Ventral spinal cord GSE142730 Birger et al., 2019
SOD1 vs Control hiPSC Ventral spinal cord GSE102902; GSE99843 Tyzack et al., 2017
FUS vs Control hiPSC Ventral spinal cord GSE162892 Neyrinck et al., 2021
Sporadic ALS vs Control human fibroblast derived Ventral spinal cord GSE87385 Ferraiuolo et al., 2016
A1 (treated) vs A0 (untreated) hiPSC Ventral spinal cord synapse ID: 21861229 Barbar et al., 2020
A1 (treated) vs A0 (untreated) hiPSC Ventral spinal cord (4 different protocols) GSE182307 Leng et al., 2020
A1 (treated) vs A0 (untreated) Mouse Cortex GSE143598 Guttenplan et al., 2020
MCAO vs A0 (sham) 24 hour samples Mouse Cortex GSE35338 Zamanian et al., 2012
Spinal cord injury vs uninjured Mouse Spinal cord GSE76097 Anderson et al., 2017
Astrocyte TDP-43 knockout vs Wildtype Mouse Spinal cord GSE156542 Peng et al., 2020
Astrocyte Membralin knockout vs Wildtype Mouse Motor cortex GSE130763 Jiang et al., 2019
SOD1 G93A vs Wildtype Mouse Forebrain GSE143598 Guttenplan et al., 2020
SOD1 G37R vs Wildtype (TRAP-seq) Mouse Spinal cord GSE74724 Sun et al., 2015

For each RNAseq dataset we process samples with nf-core/rnaseq v3.0 utilising alignment with STAR and read quantification with salmon. Differential gene expression was performed use DESeq2 and mass spectrometry data were analysed with DEP, as per the rmarkdown script. Schematics were created using Biorender.com and merged into figures with Adobe Illustrator.

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This repository contains scripts to analyse the data and reproduce the figures from the ALS astrocyte meta-analysis A1 paper

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