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Hyperactive synaptic circuits in a human neuronal model of childhood dementia.

Data Access and Information

This GitHub contains the RScripts used for the analysis of transcriptomic data found in Hyperactive synaptic circuits in a human neuronal model of childhood dementia.

hiPSC-derived cortical neural lines (n = 5 donors, 2 clones per donor) were cultured for 120-days in vitro prior to sequencing. Single cell RNA sequencing was performed using the 10x Genomics Chromium platform.

Dates of data collection: 2023

Location: Adelaide, South Australia

Files within this repository

  1. RScripts: This folder contains all the R scripts used to process transcriptomic data for this project

    • Differential_Expression_Analysis_120D.Rmd: Comparisons between excitatory and inhibitory neuronal cell types.
    • Neuronal_Glial_Types_Analysis_120D.Rmd: Code for cell type identification within Healthy and MPSIIIA snRNA-seq datasets.
    • QualityControl_120Day.Rmd: Quality Control parameters of Healthy and MPSIIIA snRNA-seq transcript data.
  2. reference sheets: contains files used to generate figures.

    NOTE: 'NA' values within each of the files in the reference sheets folders indicate empty cells

  • housekeepers.txt: Housekeeping genes used for quality control.

  • cellcycle_tirosh.tsv: Cell cycle genes used to calculate proliferation scores.

    • Reference study: Tirosh et al, 2016 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465819/)
    • Variables: 2
    • Number of cases/rows: 55
    • Variable list:
      • G1/S (Gap 1/Synthesis): Genes defining the G1S cell cycle phase.
      • G2/M (Gap 2/Mitosis): Genes defining the G2M cell cycle phase.
    • Linked RScript: Neuronal_Glial_Types_Analysis_120D.Rmd

Code and Software

Sequenced fastq files were processed using standard CellRanger 7.0.0 pipelines. Demultiplexing analyses were performed using demuxafy (https://demultiplexing-doublet-detecting-docs.readthedocs.io/en/latest/)

Human genome reference: GRCh38-2020-A (10X Genomics)

Requirements for downstream data analysis:

  • R
  • RStudio
  • Seurat

All other required R packages are listed within RScripts.

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