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30 protocols using bestar sybr green rt pcr master mix

1

Quantitative Gene Expression Analysis

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GAPDH (glyceraldehyde-3-phosphate dehydrogenase) was used as a control gene to assess the effects of APEX1 overexpression. The cDNA synthesis was completed by standard procedures and RT-qPCR was performed with a Bio-Rad S1000 with Bestar SYBR Green RT-PCR master mix (DBI Bioscience, Shanghai, China). Primer information is provided in Additional file 1: Table S1.
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2

RT-qPCR Validation of RNA-seq Differentially Expressed Genes

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To validate the RNA-seq data, RT-qPCR was performed for selected DEGs and normalization was achieved with the human reference gene GAPDH. The primers used are presented in Table I. The same RNA samples for RNA-seq were used for RT-qPCR, and RNA extraction was performed in accordance with the aforementioned protocol and materials. In each pooled sample, l µg total RNA was reverse transcribed using a PrimeScript™ RT Reagent kit (Takara Bio, Inc., Otsu, Japan), according to the manufacturer's protocol. qPCR was performed with a S1000 Thermal Cycler (Bio-Rad Laboratories, Inc.) and Bestar SYBR® Green RT-PCR Master mix (DBI Bioscience, Shanghai, China), according to the manufacturer's protocols. The following thermocycling conditions were used: 95°C for 10 min, followed by 38 cycles of 95°C for 15 sec and 60°C for 1 min. PCR amplifications were performed in triplicate for each sample, and the results were quantified by 2−∆∆Cq method (26 (link)).
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3

Quantitative RT-PCR Analysis of Gene Expression

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Total RNA from HeLa cells was converted into cDNA as noted above and RT-qPCR was performed on the Bio-Rad S1000 with the Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China). The list of genes assessed and their corresponding primers are presented in Table 1. Glyceraldehyde-3-phosphate dehydrogenase (Gapdh) gene expression served as the control for assessing the effects of Hspa5 overexpression. The concentration of each transcript was then normalized to Gapdh mRNA levels using the 2ΔΔCT method [14 (link)]. Statistical comparison was performed with the GraphPad Prism software (San Diego, CA) using the paired Student’s t test. Data were analyzed with the two-way analysis of variance (ANOVA).
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4

Validating RNA-seq Data with qRT-PCR

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To elucidate the validity of the RNA-seq data, qRT-PCR experiments were performed for some DEGs. The relative gene expression of each gene was calculated using the Livak and Schmittgen 2−ΔΔCt method34 (link), normalized with the GAPDH gene of rat. The same RNA samples for RNA-seq were used for qPCR. In each sample, l μg of pooled RNA was reversely transcribed using the PrimeScriptTM RT Reagent Kit (Takara, Dalian, China) according to the instruction from the manufacturer. qPCR was performed on the Bio-Rad S1000 with Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China). The PCR conditions are consisted of 95 °C for 10 min, followed by 40 cycles of 95 °C for 15 s, 60 °C for 1 min. Primer sequences: C3: 5′-GCG GAA GTG TTG TGA GGA TG-3′ (forward), 5′-ATG GTC TCT TCT GTG CTG CT-3′ (reverse); Cd53: 5′-CAC TGA ACT GCC AGA TTG ACA-3′ (forward), 5′-CCT TAT GGA ATG GGT GCT TTG A-3′ (reverse); Cxcl1: 5′-CGA TGG TCG TTC AAT TCC AAT T-3′ (forward), 5′-ATC TCT CCG CCC TTC TTC C-3′ (reverse); Il1b: 5′-TTT CCC TCC CTG CCT CTG A-3′ (forward), 5′-GAC AAT GCT GCC TCG TGA C-3′ (reverse); GAPDH: 5′-AAG TTC AAC GGC ACA GTC AAG-3′ (forward), 5′-ACA TAC TCA GCA CCA GCA TCA-3′ (reverse).
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5

Quantifying Gene Expression using qPCR

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Total RNA was isolated from cells using TRIzol reagent (Ambion; Thermo Fisher Scientific, Inc) and cDNA synthesis was carried out using standard procedures. qPCR was performed on the Bio-Rad S1000 Thermal Cycler, using Bestar SYBR-Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China). The PCR conditions are consisted of denaturing at 95°C for 10 min, 40 cycles of denaturing at 95°C for 15 sec, annealing and extension at 60°C for 1 min. The primers of CK18 used for quantitative real-time PCR (qPCR) were: Forward, AAAGGCCTACAAGCCCAGAT and reverse, CACTGTGGTGCTCTCCTCAA. Gene expression levels were calculated using the 2−ΔΔCq method (33 (link)) and CT values were normalized using glyceraldehyde 3-phosphate dehydrogenase (GAPDH) as an internal standard. The primers of GAPDH were: Forward, GGTCGGAGTCAACGGATTTG and reverse, GGAAGATGGTGATGGGATTTC.
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6

Validating Sheep RNA-seq Data with qPCR

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In this study, to elucidate the validity of the RNA-seq data, quantitative real-time PCR (qPCR) was performed for some selected DEGs, and normalized with the reference gene GAPDH gene of sheep. The information of primers is presented in Table 1. The same RNA samples for RNA-seq were used for qPCR. In each pooled sample, l μg of RNA was reversely transcribed using the PrimeScriptTM RT Reagent Kit (Takara, Dalian, China) following the manufacturer’s instructions. qPCR was performed on the Bio-Rad S1000 with Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China). The PCR conditions are consisted of denaturing at 95°C for 10 min, 40 cycles of denaturing at 95°C for 15 s, annealing and extension at 60°C for 1 min. PCR amplifications were performed in triplicate for each sample.
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7

Quantitative Analysis of PAIP1 Expression

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The total RNA of HepG2 cells transfected with different vectors was isolated using TRIzol reagent (Ambion, Austin, TX, USA). Then, cDNA was synthesized. qPCR was performed using Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China) on the Bio-Rad S1000. GAPDH (glyceraldehyde-3-phosphate dehydrogenase) was used as a reference gene for assessing the efficiency of PAIP1 knockdown. The primers used for qPCR are listed in Table S1. The expression of PAIP1 was then normalized to GAPDH using 2−ΔΔCT.
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8

GAPDH-Normalized RT-qPCR Expression Analysis

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Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as an internal control. We synthesized the cDNA using standard methods, and we performed the RT-qPCR analysis on the Bio-Rad S1000 using the Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience, Shanghai, China). Detailed primer sequences are listed in Table 1. Using GAPDH as a normalization factor, transcript expression was normalized and calculated by the 2-ΔΔCT method (Livak & Schmittgen, 2001 (link)). Statistical comparisons were made using paired Student’s t test in GraphPad Prism 7.0 software (Graphpad Prism software; GraphPad, San Diego, CA, USA).
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9

Quantifying HMGB1 Expression in HeLa Cells

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The cDNA synthesis was done by standard procedures and real time PCR was performed on the Bio-Rad S1000 with Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience). The concentration of each transcript was then normalized to GAPDH mRNA level using the 2−ΔΔCT method [66 (link)]. Comparisons were performed with the paired Student’s t-test.
In brief, for the preparation of total cell lysates, the HeLa cells were lysed in RIPA buffer containing 50 mM Tris–HCl (pH 7.4), 150 mM NaCl, 1.0% deoxycholate, 1% Triton X-100, 1 mM EDTA and 0.1% SDS. The samples were centrifuged (12,000 rpm, 5 min) and the supernatants were further analyzed on a 10% SDS-PAGE gel and subsequently transferred to a PVDF membrane (Millipore). HMGB1 was detected using monoclonal Flag antibody (Sigma) and HMGB1 antibody (ab79823, Abcam) diluted in TBST (1:2,000), and Action (Abclonal) was used as a loading control (1:2,000).
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10

GAPDH-Normalized Real-Time PCR Analysis

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GAPDH (glyceraldehyde-3-phosphate dehydrogenase) was used as a control. cDNA synthesis was performed using standard procedures and real time PCR was performed on the Bio-Rad S1000 with Bestar SYBR Green RT-PCR Master Mix (DBI Bioscience). The concentration of each transcript was then normalized to the level of GAPDH mRNA using the 2- ΔΔCT method [60 (link)]. Comparisons were performed with a paired Student’s t-test by using GraphPad Prism software (San Diego, CA).
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