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11 protocols using lightcycler analysis software

1

Nitenpyram Effects on D. melanogaster

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To better understand the role of nitenpyram and its effects on the modifying the behavior of D. melanogaster, we followed the method of Ahmed and Vogel (2020a) (link), with some modification. 4–5-day old adult flies were exposed for 24-h to two different concentrations of LC50 values, one-tenth (3.81 μg/mL) and one-third (12.69 μg/mL) nitenpyram, respectively. Gene expression was calculated using the ΔΔ-Ct method and standardized to the expression of actin gene. Gene primers were formed using Primer3 primer design software (Untergasser et al., 2012 (link)). Primer sequences utilized in this study are presented in Table 1. Selected genes that were used in this study include Actin, Cyp12d1, Cyp9f2, Cyp4ae1, GSTd2, RyR, IM4, Atg7, Ple, Ddc, and Sxe2. The intra-assay variability was <7%. Data was evaluated with the Roche LightCycler analysis software.
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2

Quantitative Analysis of Activin Signaling Pathways

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Real-time PCR was performed (LightCycler system, Roche) using SYBR Green detection including melting curve analysis. 18S rRNA served as an endogenous control. Primer efficiencies were tested by the standard curve method (E = 10–1/slope, E = 2.00 ± 0.05 was considered acceptable). PCR mixture includes 2 μl cDNA or water, 0.5 μM each primer, 10 μl 2xQuantiTect® SYBR® Green PCR Master Mix (Qiagen), and MgCl2 according to primer efficiency. PCR products were subjected to a melting curve analysis. Data were analyzed using the LightCycler analysis software (Roche). Primers include follistatin for: 5′-GTCGGGATGTTTTCTGTCCAG-3′ and rev: 5′-TGGCATAAGTGGCATTGTCAC-3′ (4 mM MgCl2, Tann = 50 °C).
For evaluation of activin A receptor type 1 (ACVR1) and activin A receptor type 2A (ACVR2A), standard PCR was performed using the Titan One-Tube RT-PCR system (Tann = 55 °C, Roche) followed by agarose gel electrophoresis (1%). Primers include ACVR1 for: 5′-AGCATCAACGATGGCTTCCA-3′, rev 5′-AGTGCTGTCTCCAACATTGG-3′; ACVR2A for: 5′-GGTGTACAGGCATCACAAGA-3′, rev: 5′-CCAAGAGACCACATTAGCCT-3′; 18S for: 5′-TCAAGAACGAAAGTCGGAG-3′, rev: 5′-GGACATCTAAGGGCATCACA-3′).
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3

Profiling Gene Expression in Cells

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Total RNA was collected using a RNeasy mini kit (RNA Fast 200, China), according to the manufacturer’s instructions. Then, cDNA was synthesized from 1 μg of total RNA using a SureScript First-Strand cDNA Synthesis Kit (GeneCopoeia, USA). Finally, the expression levels of NSUN2, NUDT3, LARP1, NCBP3. The sequences of the primers were as follows:

NSUN2: forward 5′-ACCTGGCTCAAAGACCACACAG-3′, Reverse 5′-TGGCTTGATGGACGAGCAGGTA-3′.

NUDT3: forward 5′-GAAGCACAGGACGTATGTCTATG-3′, reverse 5′-CTGCACGGGTTTGTGATACTG-3′.

LARP1: forward 5′-GCTGTTTAGGAACAGCTGCC-3′, reverse 5′-CCACAGG TGACAGGGAGAAG-3′.

NCBP3: forward 5′-AGGAAATCGGCGTCCAAGTT-3′, reverse 5′-TGCCTTGCCAGTCTTTGTCT-3′.

GADPH: forward 5′-GCACCGTCAAGGCTGAGAAC-3′, reverse 5′-TGGTGAAGACGCCAGTGGA-3′.

Melting curve analysis was used to confirm the amplification specificity. The quantification data were analyzed using LightCycler analysis software (version 4.0; Roche Applied Science, Mannheim, Germany). Relative expression was normalized to that of GAPDH.
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4

Quantifying Periodontal Pathogens by qPCR

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Real-time polymerase chain reaction (PCR) was conducted to quantify the amounts of three periodontopathic bacteria (P. gingivalis, T. denticola, and T. forsythia) using a LightCycler® system (Roche Molecular Biochemicals, Mannheim, Germany) and Light-Cycler® DNA Master SYBR Green I (Roche Molecular Biochemicals, Mannheim, Germany). Sequences of species-specific primers were used based on the 16s rRNA gene as previously described [19 (link)] (Supplemental Table S1). Amplification was performed in a 20 μL final volume containing 2 μL of template DNA, 2 μL of PCR Master Mix, 1 μM of each primer, and 4 mM of magnesium chloride. Detailed real-time PCR settings were previously provided by Chigasaki et al. [16 (link)]. Bacterial counts were collected from the stimulated saliva volume, and data were analyzed using LightCycler® analysis software (Roche); the cutoff value for positivity was set at 1000 counts/mL per sample.
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5

Quantitative Analysis of p68 and DUSP5 Genes

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Total tissue RNA was extracted using TRIzol reagent (Invitrogen) according to the manufacturer's instructions. Approximately 1 μg RNA was used to synthesize cDNA. The gene expression levels of p68 and DUSP5 were determined by quantitative real‐time PCR (qRT‐PCR) and analyzed using LightCycler analysis software (Roche, Basel, Switzerland), and GAPDH was used as the endogenous control.21 Quantitative RT‐PCR was carried out with the following primers: p68 sense (GenBank accession no. NM_001320595.1), 5′‐TTTATGAAGCCAATTTCCCTGC‐3′; and antisense, 5′‐CCACTCCAACCATATCCAATCC‐3′; and DUSP5 (NM_004419.3) sense, 5′‐CAATGAGGTAGTTGGTTGAAGTAG‐3′; and antisense, 5′‐CTGAGAAGAGGTGGAATGA‐GA‐3′.
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6

Kaempferol Effects on Ishikawa Cells

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Ishikawa cells were seeded at a density of 10,000 cells per well in a six-well plate overnight. Afterward, the cells were incubated with the medium containing DMEM and 0, 25, 50, and 75 µmol/L kaempferol [22 (link)]. Total RNA was collected using a RNeasy mini kit (RNA Fast 200, China), according to the manufacturer’s instructions. Then, cDNA was synthesized from 1 μg of total RNA using a SureScript First-Strand cDNA Synthesis Kit (GeneCopoeia, USA). Finally, the expression levels of GAPDH, PTEN, MMP1, and MMP9 were measured using an all-in-one qRT-PCR detection kit (GeneCopoeia, USA). The sequences of the primers were as follows: PTEN, 5′-CAAGATGATGTTTGAAACTATTCCAATG-3′ (sense) and 5′-CCTTTAGCTGGCAGACCACAA-3′ (antisense); MMP1, 5′-CACAAACCCCAAAAGCGTGT-3′ (sense) and 5′-TCGGCAAATTCGTAAGCAGC-3′ (antisense); MMP9, 5′-TCTGCCCCGGACCAAGGATA-3ʹ (sense) and 5′-ACATAGGGTACATGAGCGCC-3′ (antisense); and GADPH, 5′-GCACCGTCAAGGCTGAGAAC-3′ (sense) and 5′-TGGTGAAGACGCCAGTGGA-3′ (antisense). Melting curve analysis was used to confirm the amplification specificity. The quantification data were analyzed using LightCycler analysis software (version 4.0; Roche Applied Science, Mannheim, Germany). Relative expression was normalized to that of GAPDH.
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7

Quantifying TNF Signaling Pathway

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The qRT-PCR was performed as described previously [59 (link)] with a LightCycler system (Roche Diagnostics, Lewes, East Sussex, UK). The primers used were from Fasmac (Kanagawa, Japan): TNF, 5′-TCCTTCAGACACCCTCAACC-3′ (forward) and 5′-AGGCCCCAGTTTGAATTCTT-3′ (reverse); TNFR1, 5′-ACCAGGCCGTGATCTCTATG-3′ (forward) and 5′-CAGCTATGGCCTCTCACTCC-3′ (reverse); and TRADD, 5′-GCTTTGGAGATCAGCCTCAC-3′ (forward) and 5′-GTATCTGCAGCACCCAGGAT-3′ (reverse). Human β-actin (Fasmac) was amplified according to the manufacturer’s protocol as an internal control to allow for the quantitation of TNF, TNFR1, and TRADD amplification products. Data were analyzed using the LightCycler analysis software (Roche Diagnostics), and a standard curve correlating cycle number with the amount of products formed was plotted for each sequence of interest. The mRNA expression levels of TNF, TNFR1, and TRADD were then normalized to that of β-actin.
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8

Quantitative RT-PCR Analysis of Gene Expression

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RNA in cultured cells was extracted using an RNeasy Mini Kit (QIAGEN, Tokyo, Japan), and cDNA was produced using PrimeScript RT Master Mix (Takara, Shiga, Japan). The sequences of PCR primers for mRNA in DPD, Sp1, and β-actin were as follows: DPD forward, 5’-GTTGTGGCTATGATTGATGA-3’, and reverse, 5’-ATTCACAGATAAGGGTACGC-3’; Sp1 forward, 5’-TTGAAAAAGGAGTTGGTGGC-3’, and reverse, 5’-TGCTGGTTCTGTAAGTTGGG-3’; β-actin forward, 5’-GCAAAGACCTGTACGCCAAC-3’, and reverse, 5’-CTAGAAGCATTTGCGGTGGA-3’. PCR reactions were performed with 20 ng of cDNA with LightCycler 480 SYBR Green I Master (Roche Molecular Biochemicals, Indianapolis, IN, USA). Quantitative RT-PCR was performed on a Roche LightCycler 480 system (Roche Molecular Biochemicals). Quantification data were analyzed with the LightCycler analysis software (Roche Molecular Biochemicals).
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9

Reverse Transcription and QPCR Protocol

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Reverse transcription was performed as described71 (link). Total RNA was DNase treated prior to reverse transcription to remove genomic DNA. Reverse transcription reactions were verified by Β-actin RT-PCR using cDNA amplified with GoTaq Flexi (Promega; Madison, WI, USA). QPCR was performed using SYBR Green GoTaq qPCR master mix (Promega) according to manufacturer’s instructions on LightCycler 96 SW 1.0 (Roche; Castle Hill, NSW, Australia). Primer sequences have been supplied (S1 Table). Reactions were performed on cDNA equivalent to 50 ng of total RNA and carried out for 45 amplification cycles. SYBR Green fluorescence was measured after the extension step at the end of each amplification cycle and quantified using LightCycler Analysis Software (Roche).
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10

RT-qPCR Analysis of Gene Expression

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Total RNA was extracted from the liver, superior mesentery artery and left adrenal vein (the most prominent collateral vessel of PVL rats) using an RNeasy Mini kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer's instructions. RT-qPCR was performed on a LightCycler 480 (Roche Diagnostics, Mannheim, Germany), and the standard LightCycler amplification cycle protocol was established for each gene. β-actin was used as the endogenous reference gene. The relative expression of mRNA was calculated as the ratio to β-actin. LightCycler analysis software (Roche Diagnostics, Mannheim, Germany) enabled the quantitative analysis of the PCR products. The primer sequences were as follows: β-actin forward, 5′-CGCCCTAGGCACCAGGGTG-3′ and reverse, 5′-GCTGGGGTGTTGAAGGTCTCAAA-3′; iNOS forward, 5′-AGGCCACCTCGGATATCTCT-3′ and reverse, 5′-GCTTGTCTCTGGGTCCTCTG-3′; eNOS forward, 5′-GGAAGTAGCCAATGCAGTGAA-3′ and reverse, 5′-GCCAGTCTCAGAGCCATACA-3′.
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