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Identification of differentially expressed protein-coding genes in HCC and adjacent non-cancerous tissues

Twenty samples were collected in pairs, i.e., HCC tissue and adjacent non-cancerous tissue. The collected tissue samples were stored in liquid nitrogen. First, 50 mg of tissue was lysed in TRIzol (Invitrogen) to extract RNA following the manufacturer’s instructions. Next, ribosomal RNA was depleted using a RiboZero Gold kit (Epicentre Bio-technologies). RNA integrity was assessed with an Agilent Bioanalyzer 2100. An RNA-Seq library was generated with the rRNA-depleted samples using an Illumina standard RNA Sample Prep kit according to the manufacturer’s instructions. The library was subsequently sequenced on an Illumina HiSeq2500 as 125-bp paired-ends with approximately 300-bp size selection.

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Policy statement for the transcriptome sequence data of hepatocellular carcinoma

European Genome-Phenome Archive c/o European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD United Kingdom To whom it may concern, This document refers to the data set, EGAS00001002526, which has been submitted to the European Genome Archive (EGA) for the restricted access by legitimate academic institutions that have agreed to comply with the terms of a Data Access Agreement drafted by PUMCH-ICT Hepatocellular Carcinoma Study Data Access Committee. There are a number of steps that a researcher must take to obtain access to this data and the process is overseen by our Data Access Committee, called PUMCH-ICT Hepatocellular Carcinoma Study Data Access Committee <>. Please be advised that Ruoyu Miao <> is authorized to upload data to the EGA for archiving and distribution as part of your submission process, which will enable approved researchers to have encrypted access to the data. We can confirm that this submission is consistent with the informed consent of the participants of the study or has been granted ethical approval and is in accordance with the applicable laws and regulations. Sincerely, Yi Zhao M.D. M.S Bioinformatics Research Group, Advanced Computing Research Laboratory, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001002526 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00001676522 fastq.gz 1.3 GB
EGAF00001676523 fastq.gz 1.4 GB
EGAF00001676524 fastq.gz 1.4 GB
EGAF00001676525 fastq.gz 1.5 GB
EGAF00001676526 fastq.gz 2.0 GB
EGAF00001676527 fastq.gz 2.0 GB
EGAF00001676528 fastq.gz 2.1 GB
EGAF00001676529 fastq.gz 2.1 GB
EGAF00001676530 fastq.gz 1.9 GB
EGAF00001676531 fastq.gz 2.0 GB
EGAF00001676532 fastq.gz 1.5 GB
EGAF00001676533 fastq.gz 1.6 GB
EGAF00001676534 fastq.gz 1.7 GB
EGAF00001676535 fastq.gz 1.9 GB
EGAF00001676540 fastq.gz 1.9 GB
EGAF00001676541 fastq.gz 1.9 GB
EGAF00001676542 fastq.gz 1.9 GB
EGAF00001676543 fastq.gz 2.0 GB
EGAF00001676544 fastq.gz 1.5 GB
EGAF00001676545 fastq.gz 1.5 GB
EGAF00001676546 fastq.gz 1.1 GB
EGAF00001676547 fastq.gz 1.1 GB
EGAF00001676548 fastq.gz 970.3 MB
EGAF00001676549 fastq.gz 970.1 MB
EGAF00001676550 fastq.gz 2.4 GB
EGAF00001676551 fastq.gz 2.4 GB
EGAF00001676552 fastq.gz 1.7 GB
EGAF00001676553 fastq.gz 1.7 GB
EGAF00001676554 fastq.gz 1.5 GB
EGAF00001676555 fastq.gz 1.6 GB
EGAF00001676556 fastq.gz 1.9 GB
EGAF00001676557 fastq.gz 2.1 GB
EGAF00001676558 fastq.gz 2.0 GB
EGAF00001676559 fastq.gz 2.1 GB
EGAF00001676560 fastq.gz 1.9 GB
EGAF00001676561 fastq.gz 2.0 GB
EGAF00001676562 fastq.gz 1.7 GB
EGAF00001676563 fastq.gz 1.8 GB
EGAF00001676564 fastq.gz 1.9 GB
EGAF00001676565 fastq.gz 1.9 GB
40 Files (70.0 GB)