Detailed information [High-throughput data]

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Data information

Data Id :
GSE133684 ( lncRNA+mRNA )
Disease :
pancreatic ductal adenocarcinoma ( pancreatic )
Title :
Blood extracellular vesicle long RNA sequencing of human blood from pancreatic ductal adenocarcinoma (PDAC), chronic pancreatitis (CP) and healthy individuals
Percentage of samples :
Cancer : 284 / Control : 117
Data Processing :
Sequenced reads were trimmed for adaptor sequence, and masked for low-complexity or low-quality sequence, then mapped to hg38 whole genome using Hisat2. mRNA and lncRNA annotated in GencodeV25 were quantified using featureCounts
Data Summary :
Blood samples were collected from all participants in 10-mL EDTA-coated Vacutainer tubes. Plasma was separated by centrifugation at 3,000 rpm for 10 min at room temperature (25°C) within 2 h after blood collection and then centrifuged at 13,000 rpm for 10 min at 4°C to remove debris. Isolated plasma samples were stored at -80°C until use. EV RNA were isolated by affinity-based binding to spin columns using an exoRNeasy Serum/Plasma kit (Qiagen, Hilden, Germany). RNA libraries were prepared for sequencing using SMARTer® Stranded Total RNA-Seq Kit - Pico Input Mammalian. RNA-seq was performed by the Illumina sequencing platform on a 150-bp paired-end run.
Overall design :
Blood extracellular vesicle long RNA profiles of human plasma by deep sequencing using Illumina Hiseq.
Citation(s) :
Yu S, Li Y, Liao Z, Wang Z et al. Plasma extracellular vesicle long RNA profiling identifies a diagnostic signature for the detection of pancreatic ductal adenocarcinoma. Gut 2020 Mar;69(3):540-550. PMID: 31562239
Extraction Protocol :
RNA libraries were prepared for sequencing using SMARTer® Stranded Total RNA-Seq Kit - Pico Input Mammalian. Plasma EV RNAs were extracted by exoRNeasy Serum/Plasma kit.
Extraction Molecule :
total RNA
Lable :
n/a
Label Protocol :
n/a
Hybridization Protocol :
n/a
Scan Protocol :
n/a

Basic Analysis


Functional enrichment


GSVA:50 Hallmarker


Immune cell infiltration

DATASET : GSE133684

Method :