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Ncounter sprint

Manufactured by NanoString
Sourced in United States

The NCounter™ SPRINT is a compact, automated system designed for sensitive and precise quantification of gene expression. It utilizes color-coded molecular barcodes to directly detect and count individual target molecules in a sample, providing a digital readout of gene expression levels. The NCounter™ SPRINT is capable of analyzing multiple targets simultaneously in a single reaction.

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19 protocols using ncounter sprint

1

NanoString nCounter SPRINT Analysis

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All NanoString experiments were performed using the NanoString nCounter SPRINT (NanoString Technologies, WA, USA) following the manufacturer’s instructions. For a detailed method, see Online Resource 1. Probes are listed in Table S4.
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2

Liver RNA Extraction and Gene Expression

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Total RNA was extracted from liver using RNAzol® RT (Molecular Research Center, Inc., Cincinnati, OH, USA) following the manufacturer’s protocol. RNA concentration was determined on a Qubit4 using the RNA BR Assay Kit (Thermo-Fisher Scientific, Agawam, MA, USA). Six biological replicates were analyzed per dose for each sex, except for 50 and 100 ng/g EHTBB females (n = 5 and 4, respectively), 50 ng/g EHTBB males (n = 5), and 100 mg/g BTBPE males (n = 5). Transcript abundance of 31 genes (Table 1) associated with xenobiotic metabolism, immune function, the PPAR signaling pathway, lipid homeostasis, thyroid hormone metabolism and transport, and oxidative stress was analyzed using the NanoString nCounter SPRINT™ (NanoString Technologies, Seattle, WA, USA). Three housekeeping genes (Table 1) and positive and negative controls were used for normalization (see Statistical Analysis). The custom CodeSet was designed by NanoString Technologies (Seattle, WA, USA) based on sequences selected a priori from a previously assembled American kestrel de novo transcriptome (Karouna-Renier, unpublished data; Accession ID: PRJNA313951).
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3

Targeted circRNA Profiling in FFPE and Plasma

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A custom CodeSet of capture and reporter probes was designed to target regions of 100 nucleotides overlaying the BSJ of 39 selected top candidate circRNAs identified in cohort 1 (Additional file 3: Table S1). In addition, five reference transcripts were included, identified as stably expressed in the total RNA-seq data by the NormFinder algorithm [24 (link)] (ACTB, HPRT1, RPS24, circARHGAP12, and circRBM23).
For FFPE and plasma samples, 300 ng and 5 μL total RNA, respectively, was subjected to nCounter™ SPRINT (NanoString Technologies) analysis according to the manufacturer’s instructions. Hybridization time was set to 23 h. Background subtraction and subsequent normalization was performed using the nSOLVER 3.0 software (NanoString Technologies). A background threshold of 10 was selected, which all raw counts at or below were set to. Normalization was performed using the geometric mean of the five reference transcripts (ACTB, HPRT1, RPS24, circARHGAP12, and circRBM23).
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4

Profiling of miRNA using nCounter Platform

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The nCounter Human v3 miRNA panel (NanoString Technologies), which targets 799 miRNAs, was used for miRNA profiling according to the manufacturer’s instructions using 100 ng of total RNA from each sample and a hybridization time of 20 h. The hybridization products were then analyzed on the nCounter™ SPRINT (NanoString Technologies) platform. The raw data were processed using the nSOLVER 3.0 software (NanoString Technologies); first, a background subtraction was performed using the max of negative controls, and then positive control normalization was performed using the geometric mean of all positive controls. A second normalization was performed using the geometric mean of the best combination of any two miRs (hsa-let-7d-5p and hsa-miR-423-5p) as determined by the NormFinder algorithm [39 (link)], before exporting the data to Excel (Microsoft Corporation).
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5

miRNA Profiling Using nCounter Panel

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The nCounter Human v3 miRNA panel (NanoString Technologies), which target 799 miRNAs, was used for miRNA profiling. One hundred nanograms of total RNA from each sample was subjected to nCounter™ SPRINT (NanoString Technologies) analysis according to the manufacturer’s instructions. The raw data were processed using the nSOLVER 3.0 software (NanoString Technologies). Background subtraction and normalization using the geometric mean of all positive controls was performed as recommended by the manufacturer. A second normalization was performed using the geometric mean of the top 100 highest expressed miRNAs, before exporting the data to Excel (Microsoft Corporation).
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6

NanoString nCounter Analysis of Circular RNAs

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The NanoString nCounter analyses were performed using a previously published custom-designed panel, in which ciRS-7 and circIKZF3 were included [59 (link)]. One hundred nanograms of total RNA was used and the hybridization was carried out for 20 hours before performing nCounter SPRINT (NanoString Technologies, Seattle, WA, USA) analyses according to the manufacturer’s instructions. The raw data were processed using the nSOLVER 4.0 software (NanoString Technologies). Background subtraction and normalization using the geometric mean of all positive controls was performed as recommended by the manufacturer. Finally, a second normalization using the geometric mean of the four most stable linear reference genes with reasonable expression levels (ACTB, ESD, SF3A1 and PUM1) was performed, before exporting the data to Excel (Microsoft Corporation).
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7

miRNA Profiling in Cancer and Stromal Cells

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The nCounter Human v3 miRNA panel (NanoString Technologies), which target 799 miRNAs, was used for miRNA profiling in the fractions of cancer- and stromal cells. One-hundred ng of total RNA from each sample was subjected to nCounter™ SPRINT (NanoString Technologies) analysis according to the manufacturer’s protocol using a 20 hour hybridization time. The raw data were processed using the nSOLVER 4.0 software (NanoString Technologies); first, a positive control normalization was performed using the geometric mean of all positive controls, then a second normalization using the geometric mean of the top 100 highest expressed targets was performed, before exporting the data to Excel (Microsoft Corporation, Redmond, WA, USA).
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8

Profiling Chemotherapy-Induced Transcriptome

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Cells were treated with either 6 μM cisplatin, 5 nM Docetaxel, or 25 nM Etoposide. Treated cells were filtered 1 day following release of chemotherapeutic treatment. Each population of filtered cells as well as nonfiltered untreated cells were lysed using a QIAshredder Kit (Qiagen) following the manufacturer’s protocol. RNA was extracted from lysates using an RNeasy Mini Kit (Qiagen) following the manufacturer’s protocol. RNA was converted to cDNA using the iScript cDNA Synthesis Kit (Bio-Rad) following the manufacturer’s protocol. The complete product was used as input for hybridization with 770 nCounter PanCancer Progression probes for 16 h according to manufacturer’s protocols. Loaded cartridges were run on an nCounter Sprint (NanoString Technologies). Gene expression data quality control was analyzed using nSolver Analysis Software 4.0.70 (NanoString Technologies). All samples were normalized to the total counts of the nCounter-defined positive controls to reduce lane-to-lane variation from cartridge loading and normalize binding affinity across all samples surveyed. mRNA transcript reads of less than 40 were considered undetected.
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9

AAV-mediated inflammation gene profiling

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2 × 106 B16.F10 cells were infected with 1 × 1011 IFU of respective AAV for 10h. Total RNA was isolated using a Nucleospin RNA Kit (Macherey-Nagel) and run on an nCounter Sprint in conjunction with an nCounter Mouse Inflammation V2 Panel (Nanostring). Data were normalized and analyzed using nSolver software (Nanostring). For target gene validation, oligo(dT) random hexamers and SuperScript III Reverse Transcriptase (Life Technologies) were used to synthesize cDNA from the same total RNA samples used for Nanostring analysis. Fluorogenic quantitative reverse transcriptase PCR (qRT-PCR) analysis was performed using previously published oligonucleotide primer sequences using SYBR Green reagents and a ViiA 7 Real-Time PCR apparatus (Applied Biosystems). Cycle threshold (CT) values for target genes were normalized to CT values of the housekeeping gene Gapdh (ΔCT = CTTarget – CTGapdh), and subsequently normalized to baseline control values (ΔΔCT = ΔCTExperimental – ΔCTControl).
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10

Nanostring Analysis of iPSC and BFCN Transcripts

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A custom CodeSet was designed to be used with the PlexSet Nanostring technology (Nanostring) to analyse the genes in Table S1. The mRNA from iPSC and BFCN samples was harvested in TriSURE (Bioline, #38032) and extracted following the manufacturer’s instructions. The mRNA concentration of the samples was measured using a Qubit 3.0 Fluorometer (Thermo Fisher Scientific). To determine the optimal amount of mRNA per sample needed to not saturate the Nanostring, a titration run was performed and analysed using the nSolver System (Nanostring). A total of 100 ng mRNA per sample were run in the nCounter SPRINT (Nanostring). To normalize the samples, a reference sample compiled of all the samples was run alongside each Probe Set, and a total of 10 housekeepers (AARS, ASB7, CCDC127, CNOT10, EID2, MTO1, RABEP2, SUPT7L, TADA2B, ZNF324B) were selected based on the literature and Nanostring recommendations. Samples generated were analysed for each gene independently showing the number of molecules counted by the nCounter SPRINT System after normalization by housekeepers using the nSolver System.
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