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Sample GSM5529920 Query DataSets for GSM5529920
Status Public on Aug 25, 2021
Title The skin tissue of cashmere is taken from scapularis of healthy Liaoning cashmere goats 2
Sample type SRA
 
Source name skin tissue
Organism Capra hircus
Characteristics growth cycle: anagen
Growth protocol Skin tissue was obtained from healthy Liaoning Cashmere Goats.Place a sterile RNase-free culture dish containing an appropriate amount of calcium-free and magnesium-free 1 × PBS on ice, the tissue was transferred into the culture dish and cut it into 0.5 mm2 pieces, the tissues were washed with 1 × PBS, and remove as many non-purpose tissues as possible such as blood stains and fatty layers.Tissue s were dissociated into single cells in dissociation solution in 37 ℃ water bath with shaking for 20 min at 100 rpm. Digestion was terminated with 1× PBS containing 10% fetal bovine serum(FBS,V/V), then pipetting 5-10 times with a Pasteur pipette。The resulting cell suspension was filtered by passing through 70-30um stacked cell strainer and centrifuged at 300g for 5 min at 4 °C. The cell pellet was resuspended in 100ul 1× PBS (0.04% BSA) and added with 1 ml 1× red blood cell lysis buffer(MACS 130-094-183, 10×)and incubated at room temperature or on ice for 2-10 min to lyse remaining red blood cells. After incubation, the suspension was centrifuged at 300g for 5 min at room temperature. The suspension was resuspended in 100 μl Dead Cell Removal MicroBeads(MACS 130-090-101) and remove dead cells using Miltenyi ® Dead Cell Removal Kit (MACS 130-090-101). Then the suspension was resuspended in 1× PBS(0.04% BSA) and centrifuged at 300 g for 3 min at 4 °C(repeat twice). The cell pellet was resuspended in 50 μl of 1× PBS (0.04% BSA). The overall cell viability was confirmed by trypan blue exclusion , which needed to be above 85%, single cell suspensions were counted using a haemocytometer/ Countess II Automated Cell Counter and concentration adjusted to 700-1200 cells/μl.
Extracted molecule total RNA
Extraction protocol Single-cell suspensions were loaded to 10x Chromium to capture 5000 single cell according to the manufacturer’s instructions of 10X Genomics Chromium Single-Cell 3’kit (V3) .The following cDNA amplification and library construction steps were performed according to the standard protocol. Libraries were sequenced on an Illumina NovaSeq 6000 sequencing system (paired-end multiplexing run,150bp) by LC-Bio Technology co.ltd., (HangZhou,China) at a minimum depth of 20,000 reads per cell.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Data processing Sequencing results were demultiplexed and converted to FASTQ format using Illumina bcl2fastq software(version2.20). Sample demultiplexing, barcode processing and single-cell 3’gene counting by using the Cell Ranger pipeline(https://support.10xgenomics.com/single-cell-geneexpression/ software/pipelines/latest/what-is-cell-ranger,version 5.0.1) and scRNA-seq data were aligned to Ensembl genome GRCh38/GRCm38 reference genome, a total of 30,000 single cell captured from 5 healthly donors and 5 patients were processed using 10X Genomics Chromium Single Cell 3’Solution. The Cell Ranger output was loaded into Seurat(version 3.1.1) be used to Dimensional reduction, clustering, and analysis of scRNA-seq data. Overall, 25,000 cells passed the quality control threshold : all genes expressed in less than three cells (default parameters:1 cell)were removed、number of genes expressed per cell > 500 as low and <5000 as high cut-off、UMI counts less than 500、the percent of mitochondrial-DNA derived gene-expression <25%.
To visualize the data, we further reduced the dimensionality of all 18,339 cells using Seurat and used t-SNE to project the cells into 2D space. The steps includes:1、Using the LogNormalize method of the "Normalization" function of the Seurat software to calculated the expression value of genes; 2、PCA (Principal component analysis) analysis was performed using the normalized expression value, Within all the PCs, the top 10 PCs were used to do clustering and t-SNE analysis;3、To find clusters, selecting weighted Shared Nearest Neighbor (SNN) graph-based clustering method. Marker genes for each cluster were identified with the Wilcoxon rank-sum test (default parameters is"bimod" : Likelihood-ratio test)with default parameters via the FindAllMarkers function in Seurat. This selects markers genes which are expressed in more than 10% of the cells in a cluster and average log(Fold Change) of greater than 0.25(default parameters:0.26).
 
Submission date Aug 19, 2021
Last update date Aug 25, 2021
Contact name Ying Ze Wang
E-mail(s) wangzeying2012@syau.edu.cn
Phone 15998362195
Organization name 沈阳农业大学
Street address 120 Dongling Road, Shenhe District, Shenyang
City Shenyang
State/province Liaoning
ZIP/Postal code 110866
Country China
 
Platform ID GPL27106
Series (1)
GSE182474 Single-cell sequencing reveals differential cell types in skin tissues of Liaoning Cashmere Goats and key genes related potentially to the fineness of cashmere fiber
Relations
BioSample SAMN20863834
SRA SRX11828768

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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