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Taqman low density array cards

Manufactured by Thermo Fisher Scientific
Sourced in United States, United Kingdom

TaqMan low-density array cards are a type of lab equipment used for gene expression analysis. They provide a pre-configured set of TaqMan gene expression assays, allowing for the simultaneous measurement of multiple gene targets in a single sample.

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25 protocols using taqman low density array cards

1

Profiling microRNA Expression in Tumor Samples

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Expression of microRNAs was assessed in RNA isolated from two independent series of tumor samples as part of previous studies [8 (link), 12 ]. For cell lines, RNA was isolated using TRIzol (Life Technologies) as per the manufacturer's instructions, quantified using 260/280 nm readings obtained with a Nanophotometer (Implen, Munich, Germany), then aliquoted and stored at −80°C until further use. RT-qPCR was performed using stem-loop primers for reverse transcription followed by real-time qPCR using hydrolysis probes and primers specific for each microRNA (Life Technologies, see Supplementary Table 1 for TaqMan Assay IDs) as previously described [65 ] (see Supplementary information for detailed methods). Analysis of global microRNA expression in cell lines made use of TaqMan low-density array cards (Life Technologies), used as per the manufacturer's protocol with 500 ng total RNA as template per card. Array card data were normalized to the reference gene RNU48.
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2

Gene Expression Analysis by qRT-PCR

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Cells were lysed using TRIzol®, and RNA subsequently extracted and purified using the PureLink RNA minikit (Life Technologies). RNA concentration and purity was determined with a Thermo Scientific Nanodrop spectrophotometer.
cDNA was then reverse transcribed from RNA using the High-capacity cDNA Reverse Transcription Kit (Applied Biosystems).
qRT-PCR were performed using custom 384-well microfluidic cards (Taqman low density array cards, Life Technologies) and an ABI PRISM 7900HT Sequence Detection System (Applied Biosystems). Data analysis was performed using DataAssist™ Software v3.01 (Applied Biosystems).
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3

Comprehensive microRNA Screening Protocol

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For microRNA screening, a total of 1500 ng of diluted RNA was incorporated to create cDNA by reverse transcription with Megaplex Reverse Transcription Human Pool A v2.1 (Life Technologies, Foster City, CA). Subsequently, the cDNA was loaded into Taqman® Low Density Array cards, divided between 384 wells, for qRT-PCR (human card A, Life Technologies, Foster City, CA) on a ViiA™ 7 Real-Time PCR System (Applied Biosystems®, Foster City, CA). RNU6B, RNU44, and RNU48 were used in combination as endogenous controls for data normalization. For single assay microRNA quantification, specific primers were used per microRNA for reverse transcription to create cDNA, with specific primers used for qRT-PCR with Taqman® Universal Master Mix. RNU6B was used as an endogenous control for data normalization, and all assays were run in duplicate on a StepOne Plus RealTime-PCR-System instrument (Applied Biosystems®, Foster City, CA). All microRNA data was analyzed using a cycle threshold of 0.1 by the ΔΔCT method.[20 (link)]
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4

Relative Gene Expression Analysis via Taqman

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Gene expression analysis was carried out using Taqman Low-Density Array cards (Life Technologies) on an ABI7900HT instrument (Applied Biosystems, Life Technologies). Relative gene expression was determined using the ΔΔCT method, with expression levels normalised to the geometric mean of three housekeeping genes (GAPDH, PPIA and UBC). TaqMan probes used are listed in Supplementary Table 1. All samples were amplified in duplicate and data are presented as arbitrary units.
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5

Quantitative Gene Expression Analysis

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Total RNA was isolated from cells using NucleoSpin RNA II columns (Macherey Nagel) and from adipose tissues using the RNeasy mini kit (QIAGEN). RT-PCR amplifications were performed using M-MLV (Invitrogen) according to manufacturer's instruction. Real-time PCR was performed using SyBr green chem-istry (Thermo Fisher Scientific). The pinin gene was used as the reference gene (Ouyang and Sugrue, 1996) , and expression differences were calculated as described previously (Livak and Schmittgen, 2001) . For total liver tissues, RT-PCR amplifications were performed using High-Capacity RNA-to-cDNA kit (Life Technologies) according to manufacturer's instruction. Real-time PCR was performed using Taqman Low Density Array cards (Life Technologies) on a ViiA 7 real-time PCR system (Life Technologies), and the b2 microglobulin gene was used as the reference gene.
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6

miRNA Profiling of Trypsinized Cells

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Isolation and miRNA profiling were described previously [62 (link)]. In short, trypsinized cells were lysed in Lysis/Binding buffer and miRNA was isolated according to the protocol of miRVANA Isolation Kit (Applied Biosystems, Vilnius, Lithuania). TaqMan® MicroRNA Reverse Transcription Kit and Custom RT Primer Pool (Applied Biosystems, Foster City, CA, USA) were used in reverse transcription reaction. Expression profiling of miRNAs was carried out with TaqMan Low-Density Array (TLDA) cards (Applied Biosystems, Foster City, CA, USA) using 7900HT Fast Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). miRNA expression data were determined from duplicate results, normalized using the 2−∆Ct method with the arithmetic average of Ct values for reference genes let-7b-5p (002619) and U6 (001973) selected using RefFinder software. The presented miRNAs were chosen based on screening analysis, bioinformatics analysis as well as literature search (miR-26a-5p assay ID 000405, miR-26b-5p assay ID 000407, let-7d-5p assay ID 002283, let-7e-5p assay ID 002283, miR-365a-3p assay ID 001020, miR-146a-5p assay ID 000468, miR-378a-3p assay ID 002243, mir-193b-3p assay ID 002367; Applied Biosystems, Foster City, CA, USA).
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7

Immune Response Gene Expression Analysis in Tumor Cells

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Total RNA was isolated from 1 × 106 tumor-tissue derived cells using the RNA Easy Mini Kit (Qiagen) according to the manufacturer’s instructions. The concentration and purity of the samples were determined by spectrophotometry with a NanoDrop© 2000c (Thermo Scientific), and the RNA integrity was assessed using a 2100 Bioanalyzer (Agilent). Complementary DNA was synthesized from 100 ng of total RNA using the High Capacity RNA-to-cDNA Kit (Applied Biosystems). The gene expression of immune response-associated genes was determined using TaqMan low-density array (TLDA) cards according to the manufacturer’s instructions (Applied Biosystems). The TLDA cards (TaqMan® Array Human Immune Panel) were run on a Viia7 instrument (Applied Biosystems) using TaqMan® Universal Master Mix II, no UNG (Applied Biosystems). Ct values were analyzed using GenEx software (MultiD Analyses). Relative gene expression levels were calculated using the ΔΔCt method and were normalized to the expression levels of reference genes GUSB and TFRC, selected by GeNorm from 6 reference genes assessed in total.
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8

Quantitative PCR Gene Expression Analysis

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RNA was purified from fresh frozen tumor tissue and synthesis of cDNA was performed from 1 μg of total RNA using the High-Capacity RNA-to-cDNA Kit (cat. 4387406, Applied Biosystems; Foster City, CA). qPCR was performed using Taqman Low-Density Array (TLDA) Cards (cat. 4346800, Applied Biosystems) (Supplementary Table 2). qPCR Ct values were determined with predefined thresholds that were equal per gene for all patients. Relative gene expression was determined by the ΔΔCt method [28 ] using GUSB Ct-values for normalization. GUSB was selected as the most stable housekeeping gene (see Supplementary Table 7) out of four candidate genes (GAPDH, GUSB, RPLP0, and RPL4).
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9

Transcriptional Response to Acute Exercise

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We monitored the mRNA expression levels of 24 mRNA transcripts, using TaqMan Low-Density array (TLDA) cards from Applied Biosystems (UK). Eighteen of the transcripts were analyzed in both studies (Additional file 1; overview of mRNA transcripts). mRNA transcripts were selected based on a thorough literature search investigating the effect of acute exercise on gene expression levels in PBMCs [36 (link)] as well as skeletal muscle [37 (link)]. Moreover, the selection was based on studies where effects of dairy products on markers of inflammation were investigated [38 (link)]. TLDA cards were used on a 7900 HT Applied Biosystems RT-qPCR machine (Applied Biosystems, UK). The Ct values were analyzed using SDS 2.4 (Applied Biosystems, UK), and further transferred to ExpressionSuite Sofware v1.0.3 (Applied Biosystems, UK). We normalized the Ct values to TATA box-binding protein (TBP) mRNA transcripts. Fold changes in mRNA transcripts from baseline to after the exercise session were calculated by dividing 2−ΔCtpost exercise with 2−ΔCtbaseline, using the 2−ΔΔCt-method [39 (link)].
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10

Quantifying Gene Expression Changes

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We analyzed mRNA levels of 48 genes using TaqMan Low-Density array (TLDA) cards from Applied Biosystems, UK (see supplementary table 1 for an overview of all genes analyzed).
TLDA cards were run on a 7900 HT Applied Biosystems RT-qPCR machine (Applied Biosystems, UK). The cycle threshold values (Ct-values) were determined using SDS 2.4 (Applied Biosystems) and ExpressionSuite Sofware v1.0.3 (Applied Biosystems, UK). We normalized the Ct-values to TATA box binding protein (TBP) and beta-2-microglobulin (B2M) mRNA transcripts, and manually calculated relative changes in mRNA expression levels at baseline and at the end of the intervention (2 -ΔCt ). Fold changes in mRNA transcripts from baseline to end of intervention were calculated by dividing 2 -ΔCtend with 2 -ΔCtbaseline , using the 2 -ΔΔCt -method (42) .
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