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Rotor gene 3000 real time pcr detection system

Manufactured by Qiagen
Sourced in Australia, Japan, Germany

The Rotor-Gene 3000 Real-Time PCR Detection System is a thermal cycler designed for real-time polymerase chain reaction (PCR) analysis. It features a rotary design that allows for efficient temperature control and simultaneous monitoring of multiple samples. The system is capable of detecting fluorescence signals from up to 36 samples in a single run, enabling high-throughput nucleic acid quantification and detection.

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13 protocols using rotor gene 3000 real time pcr detection system

1

Transcriptional Response of Lily Plants to Cold Stress

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Total RNA was isolated from the leaf, stem, bulbs, and roots of lily plants subjected to 4°C cold treatments, as described above. First-strand cDNA synthesis was performed using Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions, using 1 μg total RNA and oligo(dT) primers. qRT-PCR was performed using a Rotor-Gene 3000 real-time PCR detection system (Qiagen) using SYBR® qPCR Mix (Toyobo, Tokyo, Japan) according to the manufacturer’s protocol. The primers used in this study were designed with Beacon Designer (Premier, Palo Alto, CA, USA) and are listed in Table 1. Real-time PCRs was carried out using prepared cDNA (80 μg) with each set of primers and probe and iQ™ SYBR® Green Supermix (Cat. No.170-8882, Bio-Rad, Hercules, CA, USA). The PCR cycling conditions were as follows:95°C (30 s), 60°C (30 s), and 72°C (15 s). All reactions were performed in biological triplicates. Relative mRNA levels were calculated using the 2-△△Ct method [44 (link)] against the internal reference gene TIP1, with expression in CT 0 h used as the internal control. The sequences of primers used for QRT-PCR are listed in Table 4.
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2

Validating RNA-seq Data using qRT-PCR

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To validate the RNA-seq data, 9 genes were randomly selected to be analyzed by qRT-PCR with a reference gene (Tubulin; Table S3) and specific primer pairs for selected genes were designed as shown in Table S3. Sample treatment and RNA isolation were obtained following previously described above. The reverse-transcription reactions were performed using the iScriptTM advanced cDNA Synthesis Kit (Promega, WI, USA). Quantitative real time PCR was performed using a Rotor-Gene 3000 real-time PCR detection system (Qiagen) with SYBR® qPCR Mix (Toyobo, Tokyo, Japan) and PCR amplifications were carried out in 20 µl total volume reactions containing 2 µl diluted cDNA, 300 nM of each primer, and 10 µl of the Thunderbird SYBR Green PCR Master Mix with the following cycling conditions: 95 °C for 2 min, 35 cycles at 95 °C for 15 s, 60 °C for 15 s, and 72 °C for 20 s. Dissociation curve analysis of amplification products was performed at the end of each PCR to confirm that only one PCR product was amplified and detected. The experiment was performed with at least three independent replicates, and the comparative CT method (2−ΔΔCt method) was used to analyze the expression level of the different genes26 (link).
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3

Quantitative Expression Analysis of Vernalization

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Total RNA was isolated from the unvernalized, different vernalized stages and different flower bud differentiation stages, as described above. First-strand cDNA synthesis was performed using Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions, using 1 µg total RNA and oligo(dT) primers. qRT-PCR was performed using a Rotor-Gene 3000 real-time PCR detection system (Qiagen) using SYBR® qPCR Mix (Toyobo, Tokyo, Japan) according to the manufacturer’s protocol. The primers used in this study were designed with Beacon Designer (Premier, Palo Alto, CA, USA) and are listed in Table S2. Real-time PCRs was carried out using prepared cDNA (80 µg) with each set of primers and probes and iQ™ SYBR® Green Supermix (Cat. No.170-8882, Bio-Rad, Hercules, CA, USA). The PCR cycling conditions were as follows: 95 °C (30 s), 60 °C (30 s), and 72 °C (15 s). All reactions were performed in biological triplicates. Relative mRNA levels were calculated using the 2∆∆Ct method against the internal reference gene TIP1, with expression in the CT unvernalized sample used as the internal control.
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4

Validating RNA-Seq Data by qRT-PCR

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To validate the RNA-Seq results, seven genes were selected randomly from shoots and then analyzed using quantitative real-time PCR (qRT-PCR). After rice seedlings were treated with or without 75 μM CdCl2 solutions of 7 d, the shoots samples were harvested for RNA extraction. Gene-specific primer pairs were designed using Primer 5.0 software (Premier Biosoft International) as shown in Table S1 and plant samples and total RNA isolation were carried out as described above. ACTIN was used as an internal standard43 . Two micrograms RNA was reverse-transcribed into cDNA using the iScriptTM advanced cDNA Synthesis Kit (Promega, WI, USA) after treated with RNase-free DNase I (Promega, Madison, WI), and the standard curve of each gene was prepared with several dilutions of cDNA. Quantitative real time PCR was performed using a Rotor-Gene 3000 real-time PCR detection system (Qiagen) with SYBR® qPCR Mix (Toyobo, Tokyo, Japan). Quantitative PCR reactions cycling conditions were performed as follows: 95 °C for 2 min, followed by 40 cycles at 95 °C for 15 s, 60 °C for 15 s, and 72 °C for 30 s. The relative expression value of the different genes was calculated using 2−ΔΔCt method44 . The experiment was performed three biological replicates.
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5

Transcriptional Response of Lily Plants to Cold Stress

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Total RNA was isolated from the leaf, stem, bulbs, and roots of lily plants subjected to 4°C cold treatments, as described above. First-strand cDNA synthesis was performed using Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions, using 1 μg total RNA and oligo(dT) primers. qRT-PCR was performed using a Rotor-Gene 3000 real-time PCR detection system (Qiagen) using SYBR® qPCR Mix (Toyobo, Tokyo, Japan) according to the manufacturer’s protocol. The primers used in this study were designed with Beacon Designer (Premier, Palo Alto, CA, USA) and are listed in Table 1. Real-time PCRs was carried out using prepared cDNA (80 μg) with each set of primers and probe and iQ™ SYBR® Green Supermix (Cat. No.170-8882, Bio-Rad, Hercules, CA, USA). The PCR cycling conditions were as follows:95°C (30 s), 60°C (30 s), and 72°C (15 s). All reactions were performed in biological triplicates. Relative mRNA levels were calculated using the 2-△△Ct method [44 (link)] against the internal reference gene TIP1, with expression in CT 0 h used as the internal control. The sequences of primers used for QRT-PCR are listed in Table 4.
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6

qRT-PCR Validation of lncRNAs

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Several lncRNAs from the microarray data analysis were further validated by qRT-PCR. SuperScript™ III Reverse Transcriptase (Invitrogen) was used for reverse transcription of total RNA. Quantitative RT-PCR was performed using SYBR-Green kit (Invitrogen) in a Rotor-Gene 3000 Real-time PCR Detection System (Corbett Research, Brisbane, Australia). The specific primers used to transcribe each gene are shown in Table I.
The relative fold-change normalized to β-actin was calculated using the 2−ΔΔCt method. Differences between the lncRNAs expressed in groups of GCB-DLBCL cells vs. normal cells were evaluated with the paired t-test. P-value <0.05 was regarded as statistically significant.
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7

Gene Expression Analysis of Wound Healing

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Samples of wound beds and subcutaneous implants were quickly excised, immediately frozen in liquid nitrogen, and stored at −80°C. Total RNA was extracted from 50 mg frozen tissue using a RNeasy Lipid Tissue Mini Kit (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. cDNA was amplified in 40 cycles using the QuantiTect Reverse Transcription Kit (Qiagen, Germany) and Rotor-Gene 3,000 Real-Time PCR Detection System (Corbett Research, Sydney, Australia). GAPDH was used as the reference gene. The primer sequences were as follows: peroxisome proliferator-activated receptor gamma (PPARG), forward 5′-TCG​CTG​ATG​CAC​TGC​CTA​TG-3′ and reverse 5′-GAG AGG​TCC​ACA​GAG​CTG​ATT-3′; CCAAT-enhancer-binding protein alpha (CEBPA), forward, 5′-CTT​GAT​GCA​ATC​CGG​ATC​AAA​C-3′ and reverse, 5′-CCC​GCA​GGA​ACA​TCT​TTA​AGT-3′; vascular endothelial growth factor A (VEGFA), forward 5′-TTA​CTG​CTG​TAC​CTC​CAC​C-3′ and reverse 5′-ACA​GGA​CGG​CTT​GAA​GAT​G-3′; basic fibroblast growth factor (bFGF), forward 5′- AGC​GGC​TGT​ACT​GCA​AAA​ACG​G-3′ and reverse 5′-CCT​TTG​ATA​GAC​ACA​ACT​CCT​CTC-3’. Expression levels were calculated using the 2−ΔΔCT method.
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8

RNA Extraction and Quantification Protocol

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RNA was extracted by using Qiagen RNeasy Mini kit according to manufacturer instructions. Total RNA (3 mg in 25 ml) was reversely transcribed and produced cDNA that was used to detect the transcripts using the Rotor-Gene 3000 Real-Time PCR Detection System (Corbett Research, Sydney, NSW, Australia) with SYBR® Premix Ex Taq™. The expression level of GADPH housekeeping gene was used for normalization of SET mRNA expression level. Forward primer: 5’-CTTCAACTCTGGTCAAATAATGCA-3’, reverse primer: 5’-GAACAAAAATATAACAAACTCCGC-3’, forward primer: 5′-GAAGGTGAAGGTCGGAGTC-3′ and reverse primer: 5′-GAAGATGGTGATGGGATTTC-3′ for GADPH.
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9

Adipose Tissue Gene Expression Analysis

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Adipose tissue was collected, frozen in liquid nitrogen, and stored at −80°C. RNA was extracted from 50 mg tissue samples using RNeasy Lipid Tissue Mini Kits (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. cDNA was synthesized and amplified over 40 cycles using a QuantiTect Reverse Transcription Kit (Qiagen) and a Rotor-Gene 3000 Real-Time PCR Detection System (Corbett Research, Sydney, Australia). Expression levels were calculated using the 2−ΔΔCt method. The primer sequences were as follows: Ucp1: forward 5′-CTG​ATG​AAG​TCC​AGA​CAG​ACA​G-3′ and reverse 5′-CCA​GCA​TAG​AAG​CCC​AAT​GA-3′; PRDM16: forward 5′-CAG​CAC​GGT​GAA​GCC​ATT​C-3′ and reverse 5′-GCG​TGC​ATC​CGC​TTG​TG-3′; PGC1-α: forward 5′-CGA​CAG​CTA​TGA​AGC​CTA​TGA​G-3′ and reverse 5′-CTT​CTG​CCT​CTC​TCT​CTG​TTT​G-3′; FGF21: forward: 5′-CTG​GGG​GTC​TAC​CAA​GCA​TA-3′ and reverse 5′-CAC​CCA​GGA​TTT​GAA​TGA​CC-3′; and VEGF-A: forward 5′-GGA​GAT​CCT​TCG​AGG​AGC​ACT​T-3′ and reverse 5′-GGCGATTTAGCAGCAGATATAAGAA-3′HIF1α: forward: 5′-CAA​GAT​CTC​GGC​GAA​GCA​A-3′ and reverse 5′-GGT​GAG​CCT​CAT​AAC​AGA​AGC​TTT-3′.
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10

Cytokine Expression Analysis in Fat Tissue

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Fat tissue was excised, snap-frozen in liquid nitrogen, and stored at −80 °C. Total RNA was extracted from 50 mg of tissue using the RNeasy Lipid Tissue Mini Kit (Qiagen, Hilden, Germany). cDNA was amplified for 40 cycles using the QuantiTect Reverse Transcription Kit (Qiagen) and the Rotor-Gene 3000 Real-Time PCR Detection System (Corbett Research, Sydney, Australia). Expression levels were calculated by the 2−ΔΔCt method. The following primers were used: IL-6 (Invitrogen), forward 5′-GTTGCCTTCTTGGGACTGAT-3′, reverse 5′-TTTCCACGATTTCCCAGAGA-3′; TNF-α (Invitrogen), forward 5′-CGATGGGTTGTACCTTGTCT-3′, reverse 5′-GGCAGAGAGGAGGTTGACTT-3′; IL-10 (Invitrogen), forward 5′-AACATACTGCTAACCGACTC-3′, reverse 5′-CACTGCCTTGCTCTTAT-3′; TGF-β (Invitrogen), forward 5′-GGACCCTGCCCCTATATTTG-3′, reverse 5′-AGGAGCGCACAATCATGTTG-3′; IFN-γ (Invitrogen), forward 5′-GCTGATGGGAGGAGATGTCT-3′, reverse 5′-TCATTCGGGTGTAGTCACAGT-3′; IL-4 (Invitrogen), forward 5′-CTCGTCACTGACGGCACAGA-3′, reverse 5′-TCTCCTGTGACCTCGTTCAA-3′; GAPDH (Invitrogen), forward 5′-AACTTTGGCATTGTGGAAGG-3′, reverse 5′-CCCTGTTGCTGTAGCCGTAT-3´.
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