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Ht 12 v3

Manufactured by Illumina
Sourced in United States

The HT-12 v3 is a gene expression microarray platform produced by Illumina. It is designed to analyze the expression of over 47,000 human transcripts and known genes. The HT-12 v3 allows for the simultaneous measurement of gene expression levels in multiple samples.

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27 protocols using ht 12 v3

1

Fehrmann Peripheral Blood Expression Dataset

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n = 1240 The Fehrmann dataset12 (link) consists of peripheral blood samples of 1240 unrelated individuals from the United Kingdom and the Netherlands. Some of these individuals are patients, while others are healthy controls. Individuals were genotyped using the Illumina HumanHap300, Illumina Human-Hap370CNV, and Illumina 610 Quad platforms. RNA levels were quantified using the Illumina HT-12 V3.0 platform. These data are accessible through GEO Series accession numbers GSE20332 and GSE20142.
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2

Fehrmann Peripheral Blood Expression Dataset

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n = 1240 The Fehrmann dataset12 (link) consists of peripheral blood samples of 1240 unrelated individuals from the United Kingdom and the Netherlands. Some of these individuals are patients, while others are healthy controls. Individuals were genotyped using the Illumina HumanHap300, Illumina Human-Hap370CNV, and Illumina 610 Quad platforms. RNA levels were quantified using the Illumina HT-12 V3.0 platform. These data are accessible through GEO Series accession numbers GSE20332 and GSE20142.
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3

Survival Analysis of Gene Expression

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Survival analyses were performed either using the Kaplan-Meier Plotter tool29 (link) or using Illumina HT-12v3 microarray gene expression data from the METABRIC study27 (link),28 (link). Patients were grouped into low and high expression, using the median expression as the cut-off, as described30 (link). Survival curves were re-plotted in GraphPad Prism. For all comparisons of survival curves, log-rank Mantel-Cox tests were used to assess statistical significance.
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4

Evaluating SLC7A8 in Breast Cancer

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SLC7A8 gene copy number and gene expression were evaluated using the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort of invasive BC (n = 1980) [17 (link)]. In this study, DNA/RNA was isolated from fresh frozen samples and transcriptional profiling was acquired using the Illumina HT-12v3 platforms. Data were pre-processed and normalised as described previously [17 (link)]. Patients involved in the study who were Oestrogen Receptor-negative (ER-) and Lymph Node (LN)-positive received adjuvant chemotherapy, while ER+ and/or LN− patients did not receive adjuvant chemotherapy. Dichotomisation of SLC7A8 mRNA was achieved using X-tile (version 3.6.1, Yale University, USA), based on prediction of Breast Cancer Specific Survival (BCSS). SLC7A8 mRNA expression was associated with clinicopathological parameters, molecular subtypes and patient outcome.
The online dataset, Breast Cancer Gene-Expression Miner v4.0 (https://bcgenex.centregauducheau.fr), was used for external validation of SLC7A8 mRNA expression.
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5

Breast Cancer Treatment Outcomes Analysis

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Breast cancer patients were all treated at Nottingham University Hospitals between 1998 and 2006. Patients underwent a wide local excision or mastectomy, decided by disease characteristics or patient choice, followed by radiotherapy if indicated. Nottingham Prognostic Index (NPI), ER and menopausal status determined if patients received systemic adjuvant treatment. Patients with an NPI score less than 3.4 did not receive adjuvant treatment, and patients with an NPI score of 3.4 and above were candidates for CMF combination chemotherapy (cyclophosphamide, methotrexate and 5‐fluorouracil) if they were ER‐negative or pre‐menopausal; and hormonal therapy if they were ER‐positive.
PKA mRNA expression and PP‐1 mRNA expression were determined in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) data set (n = 1980).22 DNA and RNA were isolated from samples and hybridized to the Affymetrix SNP 6.0 and Illumina HT‐12 v3 platforms for genomic and transcriptional profiling as described by Curtis et al.22 Tumours were collected by five centres in the UK and Canada between 1977 and 2005, and almost all ER‐negative and lymph node–positive patients received adjuvant chemotherapy, whereas ER‐positive and/or lymph node–positive patient did not. No patients with HER2 overexpression received trastuzumab.
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6

GCA Molecular Markers Analysis

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The microarray (Illumina HT12 v3, United States) of GCA patients of Severance Hospital (Republic of Korea, Seoul, from 2000 to 2010, IRB 4–2016-0013) was analyzed for the effects and the associations of molecular markers [15 (link)]. A pathologist and surgeon both confirmed the Lauren classification and tumor size. TNM staging was designated according to the AJCC 8th edition. Histology was divided into Moderately-differentiated (MD), Poorly-differentiated (PD), Signet-ring carcinoma (SRC), Well-differentiated (WD).
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7

Illumina Gene Expression Profiling from Whole Blood

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RNA was extracted from whole blood collected in Tempus tubes during the participants’ first visit to the CHDWB. All samples had RIN (Bioanalyzer RNA Integrity Number) > 8 indicating high quality. Complementary DNA was derived from RNA and then hybridized, and raw probe intensities were generated on Illumina HT12 v3 or v4 beadchip arrays. Probes with expression levels below background were filtered out, namely 33120 and 33220 probes respectively, leaving 14,111 probes for inclusion in the analysis. These 14,111 probes have been found to express consistently across multiple studies. We then performed log2 transformation and normalization, using the Supervised Normalization Method,22 (link) modeling standardized average GAD-7 score as the biological variable and removing the effects of the adjustment variables batch, RIN, and self-reported ethnicity. The sample included 370 females and 176 males, 134 African American, 26 Asian American, 1 Native American, and 382 Caucasian American participants. The dataset has been submitted to GEO with the accession number GSE61672.
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8

Differential PRKCQ Expression in TNBC vs Receptor-Positive Samples

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METABRIC-normalized Illumina HT12v3 data were downloaded from the European Bioinformatics Institute, quantile-normalized, and corrected for age [27 (link)]. Samples were stratified as TNBC or receptor-positive as follows: samples with negative expression of ER, PR, and Her2, as reported by Curtis et al. [27 (link)] in the columns “ER.Expr,” “PR.Expr”, and “Her2.Expr,” respectively, and not classified as luminal A, luminal B, or Her2 by PAM50 subtyping, also reported by Curtis et al. [27 (link)], were labeled TNBC (n = 276); all other samples were labeled receptor-positive (n = 1698). PRKCQ expression was extracted and log expression was compared in the TNBC and receptor-positive samples using the one-sided Student t test.
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9

Molecular Profiling of Breast Cancer Subtypes

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The expression of HMGB1, PD-1 (PDCD1 gene) and PD-L1 (CD274 gene) according to cancer subtypes, grades, lymph node and metastatic statuses was evaluated using the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) public dataset (Illumina HT-12 v3 platform for transcriptional profiling).44 45 (link) Breast cancers were categorized into the four current major molecular subtypes based on proliferative index (Ki67), hormone receptor expression (estrogen receptor (ER), progesterone receptor (PR)) and HER2 positivity: Luminal A (ER+/PR+, HER2, Ki67low), Luminal B (ER+/PR+, HER2, Ki67high and ER+/PR+, HER2+), HER2+ (ER/PR, HER2+) and basal-like (ER/PR, HER2).
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10

Molecular Taxonomy of Breast Cancer Cohort

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Details of the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) data set (n = 1980) data set have been published elsewhere27 (link). Tumours were collected by five centres in the UK and Canada between 1977–2005 and almost all ER negative and lymph node positive patients received adjuvant chemotherapy, whereas ER negative and/or lymph node positive patient did not. No patients with HER2 overexpression received trastuzumab. Median follow-up was 141 months determined using the reverse Kaplan-Meier method. DNA and RNA were isolated from samples and hybridised to the Affymetrix SNP 6.0 and Illumina HT-12 v3 platforms for genomic and transcriptional profiling as described by Curtis et al. (2012)27 (link). This cohort was used to assess the prognostic significance of DARPP-32 at the mRNA level and determine associations with other genes using artificial neural network analysis.
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