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Sample GSM7164692 Query DataSets for GSM7164692
Status Public on Apr 15, 2023
Title CK-2
Sample type SRA
 
Source name Leaf
Organism Arabidopsis thaliana
Characteristics tissue: Leaf
treatment: none
Extracted molecule total RNA
Extraction protocol RNA was harvested using TRIzol kit (Qiagen). 1. ug of total RNA was used for the construction of sequencing libraries.
RNA libraries for RNA-seq were prepared using Abclonal Mrna-seq Lib Prep Kit following manufacturer's protocols.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Data processing The data generated from Illumina (or BGI) platform were used for bioinformatics analysis. All of the analyses were performed using an in-house pipeline from Shanghai Applied Protein Technology. The major software and parameters are as follows
Raw data (or Raw reads) of fastq format were firstly processed through in-house perl scripts. Inthis step, remove the adapter sequence and filter out low quality (low quality, the number of lines with a string quality value less than or equal to 25 accounts for more than 60% of the entire reading) and N (N means that the base information cannot be determined) ratio is greater than 5% reads to obtain clean reads that can be used for subsequent analysi
Then clean reads were separately aligned to reference genome with orientation mode using HISAT2 software (http://daehwankimlab.github.io/hisat2/) to obtain mapp
FeatureCounts (http://subread.sourceforge.net/) was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene
Differential expression analysis was performed using the DESeq2 (http://bioconductor.org/packages/release/bioc/html/DESeq2.html), DEGs with | log2FC | > 1 and Padj < 0.05 were considered to be significantly different expressed genes
Supplementary files format and content: tab-delimited text files include RPKM values for each Sample
 
Submission date Apr 12, 2023
Last update date Apr 17, 2023
Contact name Fang Liu
E-mail(s) liufang830318@126.com
Phone +86-311-83014618
Organization name Biology Institute, Hebei Academy of Sciences
Department Biology Institute
Street address 46th, South Street of Friendship
City Shijiazhuang
State/province HeBei
ZIP/Postal code 050051
Country China
 
Platform ID GPL26208
Series (1)
GSE229511 DSF effects on Arabidopsis
Relations
SRA SRX19944219
BioSample SAMN34156484

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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