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Transcriptome Analysis of Plasmodium ΔCSP stable expressing or control HepG2 cells

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129323
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Purpose:To understand the change in transcriptome for the overxepression of ΔCSP in HepG2 cells. Methods:Total RNAs of ΔCSP stable expressing or control HepG2 cells were extracted using TRIzol (Invitrogen), following the manufacturer's instructions. RNA-seq and bioinformatic data analysis were performed by Shanghai Sangon Bio Ltd. Briefly, sequencing libraries were generated using VAHTSTM mRNA-seq V2 Library Prep Kit for Illumina® (Vazyme Biotech, Nanjing, China) following manufacturer's recommendations and were sequenced on HiSeq XTen sequencers (Illumina, San Diego, CA). Raw reads in FASTQ format were subjected to quality control using FastQC. RNA-seq reads were aligned to the reference genome using Bowtie. Uniquely mapped reads were used for further analysis. Gene expression levels are expressed as TPM (Transcripts per million reads) and differences in gene expression were calculated with rSeq. Results:There were 492 genes differentially expressed in ΔCSP-overexpressing HepG2 cells compare to the control group respectively (fold change >2 or < 0.5). mRNA profiles of ΔCSP stable expressing or control HepG2 cells were generated by deep sequencing in triplicate, using illumina HiSeq XTen platform.
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2022-03-04
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