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Hiseqmirnaseq

Manufactured by Illumina

The HiSeqmiRNASeq is a high-throughput sequencing platform designed for the analysis of microRNA (miRNA) expression. It utilizes Illumina's HiSeq technology to provide a comprehensive and accurate method for the identification and quantification of miRNAs within a sample.

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36 protocols using hiseqmirnaseq

1

TCGA Bladder Cancer Transcriptome Profiling

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Transcriptome profiling data of 414 bladder cancer tissues and 19 normal bladder tissues were acquired from The Cancer Genome Atlas (TCGA) in October 2018. The RNA-seq data were generated from the Illumina HiSeqRNASeq and Illumina HiSeqmiRNASeq platforms. Using the GDC Data Transfer Tool (https://gdc.cancer.gov/access-data/gdc-data-transfer-tool), all the gene expression profiles and clinical data of bladder cancer were downloaded. Ethical consent was not required as all the data in this study were obtained from TCGA database.
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2

Prostate Cancer Transcriptome Profiling

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The RNA sequencing data from 499 prostate cancer tissues and 52 samples from non-tumorous prostate tissues were acquired from the TCGA database in 2018. The GDC Data Transfer Tool (https://gdc.cancer.gov/access-data/gdc-data-transfer-tool) was used to download the level 3 mRNASeq and miRNAseq gene expression data, as well as clinical information of prostate patients. The RNA sequencing data were generated from Illumina HiSeqRNASeq and Illumina HiSeqmiRNASeq platforms. This study meets the publication guidelines provided by TCGA (http://cancergenome.nih.gov/publications/publicationguidelines). Ethics Committee approval was not required as the data were obtained from TCGA.
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3

TCGA RNA Sequencing Data Analysis

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RNA sequence data from 406 BUC patients were retrieved from The Cancer Genome Atlas (TCGA) database (https://cancergenome.nih.gov/) in 2018. LncRNA, miRNA, and mRNAseq data were obtained using the Data Transfer Tool (provided by GDC Apps). Patient clinical information was also downloaded using the Data Transfer Tool. Sequencing data derived from the Illumina HiSeq RNAseq and Illumina HiSeq miRNAseq platforms were publicly available. This study met the publication guidelines stated by TCGA (https://cancergenome.nih.Gov/publications/publicationguidelines). All data used in the study were obtained from TCGA, and hence ethics approval and informed consent were not required.
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4

Comprehensive PRCC Molecular Analysis

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We manually searched TCGA database, and a total of 289 PRCC cases were enrolled for comprehensive integrated analysis. In addition, we used the Data Transfer Tool (provided by GDC Apps) to download the level 3 mRNASeq gene expression data, miRNASeq data of samples, and clinical information of these patients (https://tcga-data.nci.nih.gov/). The sequenced data were derived from Illumina HiSeq RNASeq and Illumina HiSeq miRNASeq platforms. Our research meets the publication guidelines provided by TCGA (http://cancergenome.nih.gov/publications/publicationguidelines).
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5

Integrative Transcriptomic Profiling of Cancers

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The miRNA (Illumina HiSeq miRNASeq) and mRNA expression (Illumina HiSeq RNASeqV2) profiles of the 10 human cancers were downloaded from TCGA (as of October 2015). We subsequently obtained corresponding lncRNA expression data from the TANRIC database (Li et al., 2015 (link)).
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6

Integrative Analysis of Liver Cancer Transcriptome

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The clinical information and RNA-seq data (level 3) of patients with liver cancer were retrieved from the TCGA-Liver Hepatocellular Carcinoma database (TCGA-LIHC; https://tcga-data.nci.nih.gov/tcga/). The RNA-seq data are based on the Illumina HiSeq RNA-seq and Illumina HiSeq miRNA-seq platforms. After removing patients with incomplete clinical information, a total of 389 patients with liver cancer were included in our study. The clinical information included age, sex, histologic grade, clinical stage, risk factors, and neoplasm status.
The gene expression profiles, miRNA data, and clinical information were also downloaded from the TCGA database. The raw RNA-seq reads, including mRNAs, miRNAs, and lncRNAs, were preprocessed and normalized with the trimmed mean of M-values (TMM) method.
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7

Comprehensive Analysis of Colon Cancer Transcriptome

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A total of 341 colon cancer cases were enrolled for comprehensively integrated analysis. The colon cancer level 3 RNAseq and miRNASeq of 341 colon cancer samples and corresponding clinical data (S1 File) were downloaded from TCGA database using the Data Transfer Tool (provided by GDC Apps)(https://tcga-data.nci.nih.gov/). The RNAseq and survival data were anonymised before we accessed them. These data were included 341 colon cancer samples and 27 non-cancer samples. That sequence data was derived from Illumina HiSeqRNASeq and Illumina HiSeqmiRNASeq platforms. Our research meets publication guidelines provided by TCGA (http://cancergenome.nih.gov/publications/publicationguidelines).
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8

Lung Adenocarcinoma RNA-Seq Analysis

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Individual lung adenocarcinoma RNA sequencing (RNA-seq) data (level 3) and the corresponding clinical data were obtained from the TCGA database. The TCGA database is a public platform with more than 30 cancer types and clinical pathological information for at least 11,000 patients. It has been widely used by a large number of researchers to explore the genetic basis of tumors through high-throughput sequencing. The RNA-seq data were generated by Illumina HiSeq RNA-seq and Illumina HiSeq miRNA-Seq platforms. Exclusion criteria were set as follows: (1) histological diagnosis negating LUAD; (2) presence of a malignancy other than LUAD; (3) lack of complete clinical data. The three RNA expression profiles were integrated and extracted by using the R bioconductor package TCGABiolinks. Genes were annotated using the Ensembl online database. The present study was in compliance with the publication guidelines provided by TCGA, and the data obtained from TCGA did not require approval from an ethics committee.
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9

TCGA Comprehensive Integrated Analysis of BCa

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A total of 418 patients with BCa were enrolled in our comprehensive integrated analysis. Data were downloaded from the TCGA database (http://tcga-data.nci.nih.gov/) using the Data Transfer Tool provided with GDC Apps. For the study, level 3 mRNASeq gene expression data, miRNASeq data, and clinical information of patients were downloaded (http://tcga-data.nci.nih.gov/). Sequencing data were collected using Illumina HiSeq RNASeq and Illumina HiSeq miRNASeq platforms (Illumina, San Diego, CA) and the study was performed in line with the publication guidelines provided by TCGA (http://cancergenome.nih.gov/publicaitons/publicationguidelines). Ethical approval was not necessary in our study because the expression profiles were downloaded from the public database and no new experiments in patients or animals were performed.
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10

Molecular Profiling of Uveal Melanoma

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DNA methylation profiles, miRNA-Seq data, RNA-seq data and clinical information of UVMs samples were extracted from the TCGA database on March 2018. The DNA methylation profiling data were performed using Infinium 450k Chip. MiRNA-Seq and RNA-seq were executed on Illumina-HiSeq miRNA-seq and RNA-seq platform. The annotation of the lncRNA file was downloaded from GENCODE (https://www.gencodegenes.org/). We divided TCGA UVMs patients into two groups based on the survival time: Alive < 2 years group (survival time was less than 2 years after diagnose) and Alive > 2 years group (survival time was more than 2 years after diagnose).
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