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Biomaster hs qpcr sybr blue mix

Manufactured by Biolabmix

BioMaster HS-qPCR SYBR Blue mix is a specialized reagent for quantitative real-time PCR (qPCR) applications. It contains optimized components for the detection and quantification of target DNA sequences using SYBR Green fluorescent dye.

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2 protocols using biomaster hs qpcr sybr blue mix

1

Quantifying miRNA and mRNA Expression in B16 and RLS40 Cells

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After in vitro transfection of B16 and RLS40 cells as described in Section 2.2, total RNA was extracted from tumor cells at time points of 24 and 72 h using TRIzol Reagent (Invitrogen, Waltham, MA, USA) according to the manufacturer’s protocol. The level of miRNAs was measured using stem-loop qPCR technology [37 ,38 (link)]. cDNA synthesis was carried out using MuML-V reverse transcriptase (Biolabmix, Novosibirsk, Russia) according to the manufacturer’s protocol. The RT and PCR primers used in the study are listed in Table S1. PCR amplification was carried out using BioMaster HS-qPCR SYBR Blue mix (Biolabmix, Novosibirsk, Russia) according to the manufacturer’s protocol. The obtained qPCR data were analyzed by standard Bio-Rad iQ5 v.2.0 software. For each sample, the threshold cycle (Ct) was determined. Quantitative assessment of the level of transcript representation, relative miRNA and mRNA expression was performed by comparing the Ct values for miRNA and mRNA with HPRT1 and GAPDH mRNAs used as references.
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2

Detecting Chromosomal Rearrangements via CGH

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Unbalanced chromosomal rearrangements were detected using a SurePrint G3 Human CGH Microarray (8 × 60K) (Agilent Technologies, Santa Clara, CA, USA). All identified CNVs were confirmed using quantitative PCR with self-designed primers (online suppl. Table 1; for all online suppl. material, see www.karger. com/doi/10.1159/000514491), and their parental origin was established. PCR was performed with BioMaster HS-qPCR SYBR Blue mix (BioLabMix, Novosibirsk, Russia) on an AriaMx Real-time PCR system (Agilent Technologies). The detected microdeletions were compared with data generated by the DECIPHER community [Firth et al., 2009] .
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