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Sample GSM8268585 Query DataSets for GSM8268585
Status Public on May 22, 2024
Title left_hemisphere,WT,old_mouse_2
Sample type SRA
 
Source name left_hemisphere
Organism Mus musculus
Characteristics tissue: left_hemisphere
genotype: WT
exit age: 11m 26d
Sex: M
mouse: old_mouse_2
Extracted molecule total RNA
Extraction protocol Mice were culled via cervical dislocation and brains were dissected, with the olfactory bulbs and cerebellum being removed.The desired area of the brain were collected in ice-cold HBSS (w/o Ca2+ and Mg2+; 14175-053; Gibco) with 5% trehalose (T0167; Sigma Aldrich) and 30 µM actinomycin D (A1410; Sigma Aldrich) and were finely minced using a 22A scalpel. Brains were digested using the Adult Brain Dissociation Kit (130-107-677; Miltenyi Biotec), with the following modifications: (i) tissues were dissociated as described in the “manual dissociation” section of the Neural Tissue Dissociation Kit protocol (130-092-628; Miltenyi Biotec), (ii) enzymatic digestions were performed at 35°C, (iii) half the concentration of enzyme P was used, (iv) actinomycin D was used to limit dissociation-induced transcriptional changes, (v) 5% trehalose was added in all buffers to increase cellular viability, (vi) cell clusters were removed by filtration through prewetted 70 μm (352350; Falcon) and 40 μm (352340; Falcon) cell strainers, (vii) erythrocyte and myelin debris removal steps were omitted during dissociation steps, and (viii) all centrifugations were performed at 200 g at 4°C. After dissociation, cells were collected in PBS with 0.2% BSA before being sorted on a Sony SH800 cell sorter. Gates were chosen based on forward and side scatter to exclude myelin debris, erythrocytes, and doublets. Non-viable cells were excluded based on Draq7 and/or DAPI staining (Draq7high and/or DAPIhigh cells were classified as non-viable).
single cells were processed through the Chromium Single Cell Platform using the Chromium Next GEM Single Cell 3’ GEM Library and Gel Bead Kit (v3.1 chemistry, PN-1000121, 10x genomics) and the Chromium Next GEM Chip G kit (PN-1000120) and processed following manufacturer’s instructions.
 
Library strategy RNA-Seq
Library source transcriptomic single cell
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Description 10x Genomics
Data processing The alignment to the reference genome, demultiplexing, barcoded processing, gene counting and cell calling were made using the Cell Ranger software (v5.0.0 to v7.00).
Cells were filtered based on output from isOutlier function from scater (v1.20.1), genes expressed in less than two cells were discarded, normalisation was performed by deconvulation ( with scran v1.20.1).
Selection of variable genes, dimensional reduction, batch correction when needed (with fastMNN from batchelor v1.8.0) and clustering (with scran) was performed a first time, then a clusterQC and a stricter QC was performed to retain only high quality cells, annotation was performed with marker genes. More details regarding the differences between datasets can be found in the paper.
Assembly: mm10
Supplementary files format and content: SingleCellExperiment_RDSs contains R files for each dataset. It is the fully cleaned, normalised, batch corrected and annotated version.
Supplementary files format and content: cellinfo_CSVs.tar contains the metadata for the cells from all the cleaned datasets. Each row is a cell and each column has infromation such as the qc parametres or the cell annotation
Supplementary files format and content: cellranger_matrices.tar has the filtered and raw matrices from cellranger output.
 
Submission date May 15, 2024
Last update date May 22, 2024
Contact name Nadine Bestard-Cuche
E-mail(s) nadine.bestard@ed.ac.uk
Organization name University of Edinburgh
Lab Anna Williams
Street address 5 Little France Drive
City Edinburgh
ZIP/Postal code EH16 4UU
Country United Kingdom
 
Platform ID GPL24247
Series (1)
GSE267545 Microglia protect against age-associated brain pathologies
Relations
BioSample SAMN41404997
SRA SRX24564521

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA

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