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12 protocols using lightcycler software 3

1

SIRT1 Expression Analysis by Real-Time PCR

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Real-time PCR was performed on complementary DNA (cDNA) samples using the SYBR Green system (Bio Rad, Richmond, CA). Primers used were SIRT1, sense 5′- TCAGTGTCATGGTTCCTTTGC-3′ and anti-sense 5′-TCCACCACCCTGTTGCTGTA-3′. The following general real-time PCR protocol was employed: denaturation for 10 min at 95°C, 40 cycles of a four segmented amplification and quantification program, a melting step by slow heating from 60°C to 99°C with a rate of 0.1°C/sec and continuous fluorescence measurement, and a final cooling step, down to 40°C. Crossing point values were acquired by using the second derivative maximum method of the LightCycler software 3.3 (Roche, Burlington, NC). Real-time PCR efficiencies were acquired by amplification of a standardized dilution series, and slopes were determined using LightCycler software.
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2

Quantifying Heparanase mRNA in Salmonella-Infected Cells

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The levels of heparanase mRNA in tumor cells infected with Salmonella (multiplicities of infection, MOI = 1, 100, 200), or mock-infected were determined by the quantitative real-time RT-PCR. Total cellular RNA was isolated and reversed transcribed into cDNA using standard methods. PCR amplification was carried out in the LightCycler system (Roche, Mannheim, Germany) and data analyzed with LightCycler software 3.3 (Roche). The specific primer pairs used for detecting mouse heparanase and β-actin were 5'- CGA CCG ACG ACG TGG TAG AC and 5'- GCA ACA GCT CCT GGA AGG G, as well as 5'-TGG AAT CCT GTG GCA TCC ATG AAA C and 5'-TAA AAC GCA GCT CAG TAA CAG TCC G, respectively. The copy number of the heparanase gene in each sample was extrapolated from the corresponding standard curve by the indicated software and normalized with the amount of β-actin in the same sample.
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3

Relative Gene Expression Quantification

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The qPCR validation experiments of various identified genes were performed in duplicate, and amplification efficiencies were calculated from the standard curve slopes in LightCycler Software 3.3 (Roche Diagnostics, Indianapolis, IN, USA). For the relative quantification of gene expression, the mRNA levels of all genes were normalized to the 18S rRNA levels using the comparative threshold cycle (Ct) method (2−ΔΔCt). The results are expressed as fold change relative to the control. Data were obtained from at least three independent experiments and are presented as the mean ± SD.
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4

Quantitative RT-PCR of RNA Transcripts

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For RNA extraction the NucleoSpin RNA Kit (MACHEREY-NAGEL) was used. Total RNA concentration was determined photometrically using Nanodrop (Peqlab), and RNA quality was assessed by electrophoresis on a denaturing agarose gel. Using the SuperScript III Reverse Transcriptase (Invitrogen), 1 μg of total RNA was reverse transcribed. Quantitative RT-PCR analysis was carried out on the LightCycler 2.0 Instrument (Roche) using the Mastermix LightCycler FastStart DNA Master SYBR Green I (Roche). Samples were analyzed in duplicate and averaged using the Light Cycler Software 3.5 (Roche). Data were analyzed based on the ΔΔCt method using HT29 Diaph2 control cells as a reference sample. All primers (Table S1) were design to amplify products between 90 and 200 bp, and exon-spanning primers were used to avoid DNA amplification.
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5

Liver gene expression analysis

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RNA from the liver was isolated with the RNeasy Mini Kit (Qiagen, MA, USA). mRNA expression levels of Tnf-α, Il6, Mcp1, Toll-like receptor 2 (Tlr2), Toll-like receptor 4 (Tlr4), peroxisome proliferator-activated receptor gamma (Ppar-γ), and β-actin (Actb) were measured by qRT-PCR (for primer sequences used in the study see Table S2.) qRT-PCRs were carried out on LightCycler 1.5 (Roche, Mannheim, Germany) with the Light Cycler TaqMan Master Kit (Roche, Mannheim, Germany). Preincubation was performed at 94 °C for 10 min, followed by 40 cycles of denaturation at 94 °C for 10 s, then annealing at 60 °C for 30 s, and extension at 72 °C for 1 s. LightCycler® Software 3.5 (Roche, Mannheim, Germany) was used to perform relative quantification, with β-actin as internal control.
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6

Heat Stress Induced RNA and cDNA Analysis

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Total RNA extraction from MECs harvested at CTR, 30m, 2h, 4h, 8h, 12h, 24h after heat stress and cDNA synthesis was performed as described in our previous studies [13 ]. Primer details for all the heat shock protein and apoptotic gene family are provided as supplementary information (S1 Table). The accuracy of primer pairs was also ensured by the presence of a unique peak during the dissociation step at the end of qPCR cycle. qPCR was performed using Light Cycler 480 instrument (Roche, Germany) as described in our previous reports [13 ]. The data was acquired using the ‘second derivative maximum’ method as computed by the Light Cycler Software 3.5 (Roche Diagnostics) and subjected for subsequent analysis.
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7

RNA Extraction and Quantitative PCR Analysis

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RNAs were extracted with the Nucleospin® RNA extraction kit (Macherey-Nagel, Düren, Germany), following the manufacturer’s instructions. Reverse transcription of RNA was performed with the Transcriptase inverse SuperScript II (Invitrogen, 18064022), following the manufacturer’s instructions. Quantitative PCRs were performed with 1 μL of 1/10 diluted first strands of cDNA in a total volume of 15 μL of 1X KAPA SYBR FAST qPCR Master Mix (Kapa Biosystem, KK4610, Merck, Darmstadt, Germany), containing 10 nM of each PCR primer (Table 2). Reactions were performed in 20 μL LightCycler capillaries (Roche). PCR amplifications were performed with a LightCycler 1.5 thermocycler and analyzed with the LightCycler Software 3.5 (Roche, Basel, Switzerland). Assays were performed in technical duplicates on RNAs extracted from two or three independent experiments.
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8

Genetic Profiling of Thrombophilic Variants

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Blood samples were collected by venipuncture into EDTA tubes using the Vacutainer system. DNA was extracted from leukocytes using a commercial automated procedure (Roche, Italy). The DNA was spectrophotometrically quantified (also to verify the purity) and analyzed for FVL (R506Q, rs6025); FVR2 (H1299R, rs1800595); FII (G20210A, rs1799963); MTHFR (C677T, rs1801133 and A1298C, rs1801131); beta-fibrinogen (-455 G>A, rs1800790); FXIII (V34L, rs5985); HPA-1 (L33P, rs5918) and PAI-1 (4G/5G alleles, rs1799889). All the variants were analyzed using a LightCycler 1.2 Instrument, which uses PCR for the amplification of the genomic region of interest and fluorogenic target-specific hybridization for the detection and genotyping of the amplified DNA, according to the manufacturer’s procedures (Roche Diagnostics). Finally, the results were analyzed using LightCycler Software 3.5. (Roche Diagnostics, Basel, Switzerland).
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9

Genetic Thrombophilia Screening Protocol

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Blood samples were collected by venipuncture into EDTA tubes using the Vacutainer system. DNA was extracted from leukocytes using a commercial automated procedure (Roche, Italy). The DNA was spectrophotometrically quantified (also to verify the purity) and analyzed for FVL (R506Q variant); FVR2 (H1299R variant); FII, G20210A; MTHFR, C677T and A1298C; beta-fibrinogen, -455 G>A; FXIII, V34L; HPA-1, L33P variants and PAI-1 4G/5G alleles. All the variants were analyzed using a LightCycler 1.2 Instrument, (Roche Diagnostics, Basel, Switzerland), which uses PCR for the amplification of the genomic region of interest and fluorogenic target-specific hybridization for the detection and genotyping of the amplified DNA, according to the manufacturer’s procedures (Roche Diagnostics). Finally, the results were analyzed using LightCycler Software 3.5 (Roche Diagnostics, Basel, Switzerland) [18 (link)].
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10

Glucose Transporter Gene Expression Analysis

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After sacrifice, a portion of the muscle was prepared in order to first extract the total cellular RNA using RNeasy Mini Kit (Qiagen, Waltham, MA, United States) in accordance with the manufacturer’s instructions and then to reverse transcribe the material into complimentary DNA(cDNA) using MMLV reverse transcriptase (Promega, Madison, WI, United States). The expression of glucose transporter 1 (GLUT1), glucose transporter 4 (GLUT4), and β-actin were quantified using qRT-PCR. Respective primer sets (forward and reverse) referred to previous study (Hu et al., 2014 (link)) as follows: GLUT4, 5-TGCTCTCCT GCAGCTGATT-3, and 5-TTCAGCTCAGCTAGTGCGTC-3; GLUT1, 5-CTTCCTGCTCATCAATCGT-3, and 5-AGCTCCA AGATGGTGACCTT-3; and Beta-actin, 5-CTAAGGCCAACC GTGAAAAG-3, and 5-ACCAGAGGCATACAGGGACA-3. Levels of GLUT4 and GLUT1 were normalized against the amount of Beta-actin mRNA. Reactions were performed on a LightCycler 1.5 using a LightCycler TaqMan master kit (both from Roche, Mannheim, Germany). Preincubation was performed at 95°C for 10 min, followed by 40 cycles of denaturation at 95°C for 10 s, annealing at 60°C for 30 s, and extension at 72°C for 1 s, and cooling at 40°C for 30 s. LightCycler® Software 3.5 (Roche) was used to perform relative quantification using beta-actin as an internal control.
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