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Sample GSM6337715 Query DataSets for GSM6337715
Status Public on Jul 19, 2022
Title HeLa, pv, 3
Sample type SRA
 
Source name HeLa
Organism Homo sapiens
Characteristics cell line: HeLa
cell type: human cervical carcinoma cell
genotype: control
treatment: pVITRO2-hygro-mcs vector transfection
Treatment protocol transfected with the recombinant pVITRO2-mcs vector (InvivoGen, NY, USA) containing HLA-G cDNA or empty vector by Lipofectamine 3000 reagent (InvitroGen, NY, USA) according to the manual instructions.
The transfectants were selected with 50 μg/ml hygromycin B (InvitroGen, NY, USA)
Growth protocol The human cervical carcinoma cell lines HeLa were maintained in DMEM supplemented with 10% heat-inactivated fetal bovine serum (FBS) and antibiotics in humidified atmosphere with 5% CO2 at 37C
Extracted molecule total RNA
Extraction protocol RNA was harvested using Rneasy mini plus kit (Qiagen). 1.3 ug of total RNA was used for the construction of sequencing libraries.
RNA libraries for RNA-seq were prepared using BGI Kit following manufacturer's protocols.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model BGISEQ-500
 
Description HeLa_pv_3
Data processing BGISEQ-500
Sequence reads were trimmed for adaptor sequence/low-quality sequence (parameter- Quality limit: 0.05)
Trimmed sequence reads were mapped to GrCM38/mm10 using BGISEQ-500 genomic benchwork (parameters- mismath cost: 2 insertion cost: 3 deletion cost: 3 length fraction: 0.8 similarity fraction: 0.8)
Read count extraction and normalization were performed using BGISEQ-500 genomic benchwork
Assembly: mm10
Supplementary files format and content: tab-delimited text file includes FPKM values for each Sample
 
Submission date Jul 13, 2022
Last update date Jul 19, 2022
Contact name Hui-Hui Xu
E-mail(s) [email protected]
Phone +86-13757609637
Organization name Taizhou Hospital
Street address 150
City Linhai
State/province Zhejiang province
ZIP/Postal code 317000
Country China
 
Platform ID GPL23227
Series (2)
GSE208117 A novel prognostic risk model for cervical cancer based on immune checkpoint HLA-G-driven differentially expressed genes [HeLa]
GSE208119 A novel prognostic risk model for cervical cancer based on immune checkpoint HLA-G-driven differentially expressed genes
Relations
BioSample SAMN29714997
SRA SRX16176061

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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