Another cohort consisting of 38 patients with stage I/II HCC were enrolled to analyze transcriptional gene expression (IRB No. 201201186B0). Total RNA was extracted using TRIzol™, as recommended by the manufacturer, followed by RNA cleanup using the MinElute Kit (Thermo Fisher Scientific Inc., Waltham, MA, USA). RNA labeling, hybridization, washes, and processing were performed by the Genomic Medicine Research Core Laboratory of Chang Gung Memorial Hospital using an Affymetrix GeneChip™ Human Genome U133 Plus 2.0 Array (Thermo Fisher Scientific Inc., Waltham, MA, USA). To filter the lower-variance genes, a standard deviation >0.5 was used to filter 6522 probe sets from the original 22,215. The genes differentially expressed between cancerous and non-cancerous tissues were identified using paired t-tests, and the p values for gene expression were calculated as previously described [14 (link),15 (link)].
Minelute kit
Manufactured by Thermo Fisher Scientific
Sourced in United States
The MinElute Kit is a DNA/RNA purification product developed by Thermo Fisher Scientific. It is designed to efficiently extract and purify nucleic acids from various sample types. The kit utilizes a silica-based membrane technology to selectively bind and concentrate the target nucleic acids, allowing for their subsequent elution in a small volume of buffer.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using minelute kit
1
Transcriptional Profiling of Early-Stage Hepatocellular Carcinoma
2
Transcriptomic Analysis of Early Stage HCC
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Another cohort consisting of 40 patients with stage I/II HCC were enrolled to analyze gene expression and to correlate findings with the OncoScan data (IRB No.96-1371C, 99-1127B, 101-1186B, and 201600707B0). Total RNA was extracted with TRIzol as recommended by the manufacturer followed by RNA cleanup using the MinElute Kit (Thermo Fisher Scientific Inc.). RNA labeling, hybridization, washes, and processing were performed by the Genomic Medicine Core Laboratory of CGMH. To filter the lower variance genes, we used a standard deviation > 0.5 to filter 6522 probe sets from the original 22215. The differentially expressed genes between cancer and non-cancerous tissues were identified with paired t-tests, and P-values of gene expression were calculated as previously described[23 (link)].
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