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384 well real time pcr system

Manufactured by Bio-Rad
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The 384-well Real-Time PCR System is a laboratory instrument designed for high-throughput quantitative real-time PCR analysis. It features a 384-well thermal block for efficient processing of multiple samples simultaneously. The system utilizes fluorescence detection to monitor the amplification of target DNA sequences in real-time.

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5 protocols using 384 well real time pcr system

1

Quantification of NE-induced Inflammatory Gene Expression and Ileal Cell Apoptosis

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The NE-induced host immune response of inflammatory gene expression was quantified in ileal tissue samples. The total RNA was extracted by the TRIzol method from ileal tissue samples of birds at day 25 as described before [1 (link),3 (link)] and cDNA was prepared using M-MLV (NE Biolabs). The accumulation of the proinflammatory genes of Ifnγ, Mmp9, and Gapdh in the ileum tissue was determined using SYBR Green PCR Master mix (Bio-Rad) on a Bio-Rad 384-well Real-Time PCR System as described before [1 (link)]. The gene expression of the fold-change was calculated using the ΔΔCt method [1 (link),3 (link)] and Gapdh as an internal control.
The degree of ileal cells apoptosis in the intestinal tissue was assessed using the TUNEL assay as described before [1 (link),3 (link)]. The TUNEL assay detected the late phase of cellular apoptosis based on the fragmentation of nucleic acids. In brief, ileal tissue slides were deparaffinized three times with xylene wash and then rehydrated with 100%, 95%, and 70% ethanol. The tissues were then incubated at 37 °C for 90 min with the TUNEL solution (5 μM Fluorescein-12-dUTP (Enzo Life Sciences), 10 μM dATP, 1 mM pH 7.6 Tris-HCl, 0.1 mM EDTA, 1U TdT enzyme (Promega)). For nucleus visualization, the slides were counter-stained utilizing DAPI. Using a Nikon TS2 fluorescent microscopy, the fluorescent green apoptotic cells were examined and imaged.
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2

Quantifying Inflammatory Gene Expression

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mRNA levels of proinflammatory genes of mouse Il1β, Tnfα, and Cxcl2, and chicken Ifnγ, Il1β, and Il8-1, were determined using the SYBR Green PCR Master mix (Bio-Rad Hercules, CA, USA) on a Bio-Rad 384-well Real-Time PCR System and normalized to the respective Gapdh. The primer sequences were reported before [10 (link),14 (link),42 (link)] and are in Supplementary Table S1. The PCR reactions were performed according to the manufacturer’s recommendation. Similarly, the level of C. perfringens in the intestinal luminal and tissue was also quantified by RT-PCR targeting the bacterial 16S rDNA, as described before [14 (link)].
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3

Quantification of Gut Microbiome Phyla

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Cecal digesta samples were collected and DNA was extracted using bead beater disruption and phenol: chloroform separation as describe before [34 (link)]. The levels of five phylum bacteria were determined using SYBR Green PCR Master mix (Bio-Rad) on a Bio-Rad 384-well Real-Time PCR System. The PCR reactions were performed according to the manufacturer’s recommendation. The following gene primers [34 (link), 36 (link)] were used: Universal 16S: 16s357F: 5’-CTCCTACGGGGAGGCAGCAA-3’, 16s1392R: 5’-ACGGGCGGTGTGTRC-3’; α-proteobacteria: α682F 5’-CIAGTGTAGAGGTGAAATT-3’, 908αR 5’-CCCCGTCAATTCCTTTGAGTT-3’; γ-proteobacteria: 1080γF 5’-TCGTCAGCTCGTGTYGTGA-3’ γ1202R 5’-CGTAAGGGCCATGATG-3’; Bacteroidetes: 798cfbF 5’-5’-CRAACAGGATTAGATACCCT-3’ cfb967R 5’-GGTAAGGTTCCTCGCGTAT-3’; Firmicutes: 928F-Firm 5’-TGAAACTYAAAGGAATTGACG-3’ 1040 Firm R 5’-ACCATGCACCACCTGTC-3’; Actinobacteria: Act920F3 5’-TACGGCCGCAAGGCTA-3’ Act1200R 5’-TCRTCCCCACCTTCCTCCG-3’. The relative fold change of each phylum in one sample were normalized to universal 16S. The percentage of each phylum was then calculated as the phylum relative folds divided by total folds of all five phyla.
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4

Comparative Analysis of Rugose and Smooth Morphotypes in Salmonella Typhimurium

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Rugose and smooth morphotypes of S. Typhimurium ATCC 14028 was grown to early stationary phase in TSB at 37°C for 15 h. The total RNA was extracted using TRIzol as described before (Rio et al., 2010 (link)) and cDNA was prepared using M-MLV (NE Biolab). The mRNA levels of rugose morphotype and biofilm-associated genes were determined using SYBR Green PCR Master mix (Bio-Rad) on a Bio-Rad 384-well Real Time PCR System. The primers for each gene (Table 1) were designed using published GenBank ST sequences using NCBI Primer-BLAST tool. Data were normalized to endogenous control (16S rRNA). The relative gene expression was determined using the comparative critical threshold (Ct) value method and level of targeted gene expression between smooth (control) and rugose (treatment) morphotypes was compared and expressed as fold change in gene expression to investigate the effect of subinhibitory concentration of sodium hypochlorite on the development of rugose morphotype.
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5

Evaluating Host Immune Response in Ileal Tissue

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The host immune response of inflammatory gene expression was evaluated in ileal tissue samples. The total RNA was extracted from ileal tissue samples of birds sacrificed at d 26 using TRIzol as described before [9 (link), 34 (link)] and cDNA was prepared using M-MLV (NE Biolab). The accumulation of proinflammatory genes of Infγ, Mmp9, Il17a, Il22 and Il23 in ileum tissue were determined using SYBR Green PCR Master mix (Bio-Rad) on a Bio-Rad 384-well Real-Time PCR System. The primer sequences of each gene were described before [9 (link)] and here: Il22_forward: 5′-CTGCCCATAGCTGCAGTACA-3′; Il22_reverse: 5′- 3′; Il23_forward: 5′-ATGCATTGCGATGTCTGAAG-3′; Il23_reverse: 5′-ACTTGGGTGCTTCCAAGATG-3′. Gene expression of fold changes in uninfected birds was calculated using ΔΔCt method [35 (link)] and Gapdh was used as the internal control.
C. perfringens virulent DNA genes and 16S (internal control) were detected using real-time PCR and the primer sequences were: netB_forward: GGAAAAATGAAATGGCCTGA; netB_reverse: GCACCAGCAGTTTTTCCTTC; cpe_forward: CAACTGCTGGTCCAAATGAA; cpe_reverse: GCATCTTTCGCCAGTTTCAA; 16S_forward: AGGAGCAATCCGCTATGAGA; 16S_reverse: GTGCAATATTCCCCACTGCT.
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