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Sybr green qpcr system

Manufactured by Takara Bio
Sourced in Japan

The SYBR Green qPCR system is a real-time PCR technology that utilizes the SYBR Green dye to detect and quantify specific DNA sequences. It is a versatile tool for gene expression analysis, pathogen detection, and other applications that require sensitive and accurate DNA quantification.

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6 protocols using sybr green qpcr system

1

Quantitative Analysis of miRNA Expression

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Total RNA was extracted using TRIzol® Reagent (Invitrogen, CA, USA). To quantitate the gene expression, reverse transcription was performed with a specific stem-loop real-time PCR miRNA kit (RiboBio, Guangzhou, China). Quantitative real-time PCR (qPCR) was performed using the SYBR Green qPCR system (Takara, Dalian, CHN) on an Applied Biosystems 7900HT real-time PCR system. GAPDH was used as an internal control. All samples were normalized to internal controls.
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2

miRNA Expression Profiling in Cultured Cells

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The TRIzol® Reagent (Invitrogen, CA, USA) was used for extraction of cultured cell lines’ total RNA which was then reverse transcribed into cDNA with a specific stem-loop real-time PCR miRNA kit (RiboBio, Guangzhou, China). The SYBR Green qPCR system (Takara, Dalian, CHN) was utilized in the a/1uantitative real-time PCR (qPCR) procedure with GAPDH acting as an internal control. qPCR was carried out with the Applied Biosystems 7900HT real-time PCR system.
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3

Quantifying RAS and Senescence Genes

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Total RNA was extracted from mouse tissues using Sepasol (R)‐RNA Super G (Nacalai Tesque, Kyoto, Japan). cDNA was synthesized using a ReverTra Ace quantitative real‐time polymerase chain reaction kit (FSQ‐101; Toyobo, Osaka, Japan) according to the manufacturer's instructions. We performed quantitative estimation of the genes associated with RAS (AT1, AT2, Mas, Renin, Angiotensinogen, ACE, and ACE2), the proinflammatory senescence‐associated secretory phenotype (p16, p19, p21, p53, PAI‐1, IGFBP2, MMP13, IL‐6, TNF‐α, and MCP‐1),25 (link), 26 (link), 27 (link) muscle‐specific gene markers of senescence (MuRF‐1, Atrogin‐1, and Myostatin),28 (link), 29 (link) mitochondrial function (Mfn1, Mfn2, and DRP1), and fibrosis (α‐SMA, TGF‐β1, COL1A1, and CTGF), relative to GAPDH expression in the vastus muscle. Quantitative real‐time polymerase chain reaction was performed with the SYBR Green qPCR system (Takara, Shiga, Japan) and a 7900HT Fast Real‐Time PCR instrument (Applied Biosystems, Chiba, Japan). Data were analyzed with SDS software 2.4 (Applied Biosystems). Relative expression was calculated using the ΔΔCt method, with data normalized using GAPDH as an internal control. The primer pairs used in the study are listed in Table S1.
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4

Quantifying Cerebral mRNA Expressions

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mRNA expressions of AQP4 and AQP9 in the discrete cortex, and mRNA expressions of intercellular cell adhesion molecule-1 (ICAM-1) and nuclear factor-κB (NF-κB) in the hippocampus were determined by qPCR. Total RNA was extracted from the discrete cortex or hippocampus (n=6 rats per group at each time point) using a Takara Genomic DNA Extraction Kit (TaKaRa Bio, Inc., Shiga, Japan) at 6, 24, and 72 h after reperfusion. Extracted total RNA was then reverse transcribed to generate cDNA. The reverse transcription reaction was then amplified using SYBR Green qPCR system (TaKaRa Bio Inc.). The fold change in relative mRNA expression was determined using the 2−ΔΔCt method and β-actin as an internal control [19 (link)]. All the forward and reverse primers used in the study were shown in Table 1.
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5

Quantitative Analysis of Lipogenic Gene Expression

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Total RNA was extracted from breast cancer cells using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. cDNA was synthesized using the PrimeScript RT reagent Kit (Takara Bio, Shiga, Japan) in a total volume of 20 μl according to the manufacturer's instructions. PCR was performed with target-specific primers using the Bio-Rad 7900 Sequence Detection System and the SYBR Green qPCR system (Takara) according to the manufacturer's instructions; β-actin was used as an internal control. Briefly, reactions were performed in triplicate containing 5 μl 2× SYBR Premix II, 2 μl cDNA (corresponding to 50 ng RNA/reaction), and 1 μl 10 mM primers in a final volume of 10 μl. All data were analyzed using the 2-ΔΔCT method, and mRNA levels were normalized to β-actin. The following primers were used:
β-actin: 5′-AAGAGAGGCATCCTCACCCT-3′
and 5′-TACATGGCTGGGGTGTTGAA-3′.
SREBP1: 5′- ACAGTGACTTCCCTGGCCTAT-3′
and 5′-GCATGGACGGGTACATCTTCAA-3′.
SCD1: 5′-TCTAGCTCCTATACCACCACCA-3′
and 5′-TCGTCTCCAACTTATCTCCTCC-3′
FASN: 5′-AAGGACCTGTCTAGGTTTGATGC-3′
and 5′-TGGCTTCATAGGTGACTTCCA-3′
ACLY: 5′-TCGGCCAAGGCAATTTCAGAG-3′
and 5′-CGAGCATACTTGAACCGATTCT -3′
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6

Quantifying mRNA Expression in Cancer Cells

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The mRNA levels of the genes were examined by performing the Real-Time qPCR analysis in accordance with the experimental procedures provided by the previous publications. In brief, the total RNA was extracted from the PC tissues and cells by using the Trizol reagent (Invitrogen, USA). Reverse transcription was achieved by the SuperScriptTM II reverse transcriptase (Invitrogen, USA), and the RNA levels of CDK2, CDK6, Cyclin D1, GAPDH, miR-380-3p, and U6 were determined by using the SYBR Green qPCR system (Takara, Japan). The primer sequences for the associated genes are listed in Table 1.
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