The largest database of trusted experimental protocols

15 protocols using expression beadchip

1

Genotype Imputation and Transcriptional Profiling of Prostate Samples

Check if the same lab product or an alternative is used in the 5 most similar protocols
IMPUTE2 (v. 2.3.2)64 was used to perform the genotype imputation of rs2853669 from three cohorts, TCGA, Stockholm, and Cambridge, composed of 389, 94, and 119 prostate samples, respectively. QCtool (v.2.0.7) (20 (link)) was used to assess and perform quality control by setting parameters “-threshold 0.9, -snp-stats”. SNPs that failed to pass the quality checking were excluded from imputation. 1000 Genomes Phase 3 data were selected as reference panel (18 (link)). Parameters were set as default “–Ne = 2000 and –k hap = 500”. A SNP-centered 2-MB region was set for the imputation on chromosome 5. Genotypes in the Gen format were converted to dosage format for downstream analysis. The transcriptional profiling was assessed by Illumina Expression Bead Chip in Swedish and Cambridge human prostate tissue samples, while RNA-seq was used in TCGA samples. The Stockholm and TCGA cohorts were genotyped on Illumina Omni 2.5 and Affymetrix SNP array 6, respectively.
+ Open protocol
+ Expand
2

eQTL Analysis of Prostate Cancer Genes

Check if the same lab product or an alternative is used in the 5 most similar protocols
To validate the selected candidate SNPs, we performed additional eQTL analysis in three independent prostate datasets including The Cancer Genome Atlas (TCGA), Camcap and Stockholm cohorts which comprised of 389, 119, and 94 prostate samples, respectively23 (link). We used Matrix eQTL to test the cis-eQTL associations and parameters “useModel = modelLINEAR”, “errorCovariance = numeric ()” were applied45 (link). In addition, we applied the non-parametric Kruskal–Wallis H test to assess the statistical significance between the gene expression and SNP genotypes. For haplotype (rs6579003, rs7123299, rs7123418) analysis, we first defined haplotypes for each patient using MACH146 and minimac program47 (link),48 (link) in 1000 Genomes Project Phase I V3 EUR reference (n = 379) and then performed linear regression analysis, regressing normalized expression levels on the number of minor alleles of each SNP/haplotype genotype. R (version 3.2.2) was used to perform the statistical tests and graphically visualize the association between SNP genotypes and gene expression levels. The RGS17 and ASCL2 mRNA levels were assessed by RNA-seq in TCGA, Illumina Expression BeadChip-based transcriptional profiling in Camcap and Stockholm cohorts of human prostate tissue samples.
+ Open protocol
+ Expand
3

Exploring Novel Gene Sets in Lung Diseases

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data were obtained from the GEO. The accession numbers for the studies [11 (link),57 (link)–67 (link)] used in the exploration of novel gene sets are presented in Table 1. These data sets cover a variety of lung diseases and lung injury outcomes, including different lung inflammation models, emphysema, chronic obstructive pulmonary disease and experiments studying lung cancer and lung tumors. Several different microarray platforms including the Illumina expression beadchip were used in these studies. The analysis was restricted to lung disease models since pulmonary responses following exposure to NMs are well characterized.
+ Open protocol
+ Expand
4

RNA Extraction and Microarray Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was extracted from cells of interest using TRIzol (Invitrogen) and purified using an RNA Purification Kit (Qiagen) according to manufacturer's instructions. RNA (25 ng) was labeled with dye and applied to the microarray. Changes in gene expression were analyzed using a Sentrix human Ref-8 (link) Expression BeadChip (Illumina, 8 array “stripes”). Data was normalized using the “average” method that simply adjusts the intensities of the two populations of gene expression values such that the means of the populations become equal. Fold enrichment values were used to obtain the list of candidate genes with greater than two-fold change. RT-PCR based on RNA from three independent cell cultures was performed as previously described (31 (link)) to validate the microarray result. Primer sequences are shown in Supplementary Table S2.
+ Open protocol
+ Expand
5

Microarray Analysis of miRNA Targets

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was extracted with TRIZOL (Life Technologies) according to the manufacturer's instructions. RNA quantity and quality were assessed with NanoDrop ND 1000 spectrophotometer (NanoDrop Tech) and LabChip GX (Perkin Elmer) respectively before loading the samples on a HumanHT-12 v4.0 (mir-1 overexpression, non-targeting control) or HumanHT-12 v3.0 (all residual samples) Expression BeadChip (Illumina) in 4–6 biological replicates. Raw data is available at the GEO repository under accession number GSE55822.
All data were imported and normalized using the Base server (http://base.thep.lu.se). Empirical cumulative distribution function (ECDF) plots as introduced by Grimson et al. [12] (link) were created with the array results. Downloaded 3′ UTR sequences from the SylArray [22] (link) analysis were searched for words containing either an internal seed (IS) or canonical seed (CS). A single factor was generated for each array probe calling if it had 1 or more IS, 1 or more CS or 1 or more of both seed types. The log fold changes are plotted as in Grimson et al. to illustrate and compare the strength of the different seed types.
The RNAduplex 2.1.1 function [23] (link) from the Vienna RNA Package 2.0 was used to calculate the energy of duplex structures formed between the microRNA mimic and the section of mRNA interaction. Values are given in (kcal/mol).
+ Open protocol
+ Expand
6

Illumina Expression BeadChip Microarray Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA was processed at the UCLA Neuroscience Genomics Core (UNGC) and quantified using a Ribogreen fluorescent assay. Intersample RNA concentrations were normalized to 10 ng/μL prior to amplification. Amplified and labeled cRNA was produced using the Illumina-specific Ambion TotalPrep kit based on a T7-based linear amplification method 25 . First and second strand cDNA was produced using the Ambion kit and purified using a robotic assisted magnetic capture step. Briefly, this step employs the use of an oligo(dT) primer coupled to the phage T7 RNA polymerase promoter Expression BeadChip (Illumina, San Diego, CA), containing 22,523 probes per array. Hybridization was followed by washing, blocking, staining, and drying on the Little Dipper processor. Array chips were scanned on the Beadarray reader, and expression data was extracted and compiled using BeadStudio software (Illumina).
+ Open protocol
+ Expand
7

Adipose Tissue Gene Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Purified RNA samples from aSAT (Pre: n = 12; Post: n = 12) and gSAT (Pre: n = 12; Post: n = 12) were analyzed before and after exercise training using Illumina Expression BeadChip (Epicentre Biotechnologies, Madison, WI, USA). One array per tissue sample, for each SAT depot and for each time point (i.e. 4 arrays per participant × 12 participants) was used for the gene expression analysis (total of 24 arrays for gSAT samples and 24 arrays for aSAT samples). Each total RNA aliquot of 250 ng was ethanol precipitated with GlycoBlue (Invitrogen) as a carrier and dissolved at a concentration of 100–150 ng/µl before probe synthesis using the TargetAmp-Nano Labeling Kit for Illumina Expression BeadChip. 750 ng of cRNA were hybridized to Human HT-12 v4 Expression BeadChips (Illumina, San Diego, CA, USA) and scanned on the Illumina iScan instrument according to the manufacturer’s specifications. Raw expression intensities of 47,323 probes were extracted using Illumina GenomeStudio (Version 1.9.0) and the normalization, background correction and analysis were executed using R statistic software (version 3.6.1).
+ Open protocol
+ Expand
8

Nanomaterial Cytotoxicity Profiling

Check if the same lab product or an alternative is used in the 5 most similar protocols
IC50 concentrations of NPs (Zn3BO6: 66.50 mg/L and TiB2: 104.34 mg/L) were applied to the cell cultures and total RNA isolation procedure was performed at the end of a 72 h duration. RNA isolations were performed by using a PureLink™ RNA Mini Kit (Invitrogene®, Waltham, MA, USA) and isolated RNA quality was investigated by using a bio-analyzer (Agilent Technologies, Santa Clara, CA, USA) and UV-visible spectrophotometer (NanoDrop®, ThermoFisher®, Waltham, MA, USA). A TargetAmp-Nano Labeling kit was used to amplify isolated RNAs and an Illumina Expression BeadChip (EPICENTRE, Madison, WI, USA) was utilized to obtain biotinylated cRNAs. By using a T7 oligo (dT) primer 500 ng of total RNA was reverse-transcribed to cDNA, second-strand cDNA was synthesized, in vitro transcribed, and labeled with biotin-NTP and cRNA was quantified using the ND-1000 Spectrophotometer. Human HT-12 v4.0 Expression Beadchip (Illumina Inc., SanDiego, CA, USA) hybridization was used to label cRNAs at 58 °C for 17 h. Amersham fluorolink streptavidin-Cy3 (GE Healthcare Bio-Sciences, Piscataway, NJ, USA) bead array was used to detect array signals. Array signals were read by using the Illumina bead array reader.
+ Open protocol
+ Expand
9

Whole-Genome Gene Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA of cells was isolated by Nucleospin RNA Kit according to manufacturer’s instructions (Machery Nagel, Düren, Germany) and used for whole-genome gene expression array analysis (Illumina Expression Bead Chip, Illumina Inc., San Diego, California) or validation of the array by qRT-PCR. cDNA was synthesized with the RevertAid First strand cDNA Synthesis Kit (Thermo Scientific, Schwerte, Germany) and oligo dT18-primers. The expression of the different genes was quantified by using the SensiMix™ SYBR® & Fluorescein Kit (Bioline, Luckenwalde, Germany) and the C1000 Touch™ Thermal Cycler (Bio-Rad, Munich, Germany). The specific primer sequences used in this work can be found in the sumpplemtary part (metabion international AG, Planegg, Germany). The expression was quantified by the ΔΔct-method [35 (link)].
+ Open protocol
+ Expand
10

Integrating Brain eQTL Studies for Parkinson's Research

Check if the same lab product or an alternative is used in the 5 most similar protocols
As Parkinson Disease (PD) is a disorder of the central nervous system, we selected eQTL data in brain for a case study from Gibbs et al.21 (link) and Myers et al.22 (link). In Gibbs et al.’s study, four frozen tissue samples of the cerebellum (CRBLM), frontal cortex (FCTX), caudal pons (PONS) and temporal cortex (TCTX) were obtained from 150 neurologically normal Caucasian subjects resulting in 600 tissue samples. SNP genotyping was performed using Infinium HumanHap 550 beadchips (Illumina) for 561,466 SNPs. Profiling of 22,184 mRNA transcripts was performed using HumanRef-8 (link) Expression BeadChips (Illumina). For each of the four brain regions, a regression analysis was performed using Plink23 (link). After eQTL analysis in each brain regions, we integrated the results. In Myers et al.’s study, whole-genome genotyping for 366,140 SNPs and expression analysis of 14,078 genes were carried out on a series of 193 neurologically normal human brain samples using the Affymetrix GeneChip Human Mapping 500 K Array Set and Illumina HumanRefseq-8 Expression BeadChip platforms. A one-degree-of-freedom allelic test of association analysis was performed using Plink23 (link). We integrated the results from these 2 studies. Finally, we got 51,131 significant correlations between 22,740 SNPs and 7,161 genes with the threshold of FDR < 0.05.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!