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Human clariom d

Manufactured by Thermo Fisher Scientific
Sourced in United States, China

The Human Clariom D is a high-density microarray designed for gene expression analysis. It provides comprehensive coverage of the human transcriptome, enabling researchers to study gene expression profiles across a wide range of applications.

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4 protocols using human clariom d

1

Profiling Colorectal Cancer Transcriptome

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A total of 30 (18 males and 12 females, aged 35 ~ 81 years, without preoperative radiotherapy and chemotherapy) pairs of CRC specimens and adjacent para-tumoral normal tissues were collected from patients who underwent surgical resection at the Beijing Friendship Hospital, Capital Medical University from January, 2005 to December, 2012 (Supplementary information, Table S1). All cases were reviewed by a pathologist and diagnosed as CRC. Microarray analysis was performed on randomly selected 5 pairs of specimens using Affymetrix Clariom D Human with the support from Beijing Cnkingbio Biotechnology Corporation (China) (Supplementary information, Table S1). Briefly, the total RNA was extracted using TRIzol reagent (Life Technologies, USA) and purified with an RNeasy Mini Kit (Qiagen, Germany) according to the manufacturer’s protocol. The RNA quantity and purity were determined by a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, USA) at the absorbance of 260 nm. The mRNA expression profiling was measured using Affymetrix Clariom D Human. RNA labeling, microarray hybridization and scanning were performed according to the manufacturer’s instructions. The arrays were scanned using the Gene-Chip® scanner 3000 (Affymetrix, USA). GeneChip operating software 1.4 was then used to analyze the array data. The differentially expressed genes were defined as > twofold change.
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2

PBMC Total RNA Extraction and Microarray Analysis

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Total RNA extraction from peripheral blood mononuclear cells (PBMCs) was performed using a miRNeasy mini kit following the manufacturer’s protocol (Qiagen GmbH, Hilden, Germany). Furthermore, cRNA preparation, sample hybridization, and scanning were performed following the protocols provided by Affymetrix (Affymetrix, Santa Clara, CA, USA) and Cogentech Affymetrix microarray unit (Campus IFOM IEO, Milan, Italy). All samples were hybridized on a Human Clariom D (Thermo Fisher Scientific) gene chip and were analyzed using the Transcriptome Analysis Console 4.0 software (Applied Biosystem, Foster City, CA, USA by Thermo Fisher Scientific, Waltham, MA, USA). Human Clariom D arrays enable investigation of more than 540,000 transcripts sourced from the largest public databases starting from as little as 100 pg of total RNA. Relative gene expression levels of each transcript were validated by applying a one-way analysis of variance (p ≤ 0.01) and multiple testing corrections. Coding genes and lncRNAs that displayed an expression level at least 1.5-fold different in the test sample versus control sample (p ≤ 0.01) were carried forward in subsequent analyses.
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3

Transcriptome Analysis of Differentially Expressed Genes

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Total RNA was extracted using the miRNeasy mini kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer’s instructions. Protocols for cRNA preparation, sample hybridization, and scanning followed those provided by Affymetrix using a Cogentech Affymetrix microarray unit (Campus IFOM IEO, Milan, Italy). Samples were hybridized on Human Clariom D (Thermo Fisher Scientific) gene chip. Background-adjustment, normalization, and log-transformation of signals intensity were performed with the Signal Space Transformation-Robust Multi-Array Average algorithm (RMA). Raw data were analyzed by transcriptome analysis console (TAC) 4.0 software (Applied Biosystems, Foster City, CA, USA) awaiting further analysis. Genes with ≥1.5-fold-change (FC) and p <0.05 were considered to be significantly differentially expressed.
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4

Transcriptomic Analysis of lncRNAs

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The expression profile of the lncRNAs were analyzed by Deseq package (Affymetrix Inc., US). Samples were hybridized on the Human Clariom D (Thermo Fisher Scientific) gene chip. Background-adjustment, normalization, and log-transformation of signals intensity were performed with the Signal Space Transformation-Robust Multi-Array Average algorithm (RMA). Raw data were analyzed by the transcriptome analysis console (TAC) 4.0 software (Applied Biosystems, Foster City, CA, USA) awaiting further analysis [14 (link)]. The differentially expressed lncRNAs and mRNAs were screened according to the criteria of gene differential expression with |log2-fold change| (FC) more than 2 times and adjusted P<0.05. The differentially expressed lncRNAs were afterward clustered by a heatmap package while the hierarchical clustering diagram was drawn to show the results.
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