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Ncounter gene expression system

Manufactured by NanoString
Sourced in United States

The NanoString nCounter gene expression system is a laboratory instrument designed for highly sensitive and precise quantification of gene expression levels. It utilizes a proprietary digital counting technology to directly measure and analyze the expression of hundreds of genes simultaneously from a single sample. The nCounter system provides a quantitative, reproducible, and scalable platform for gene expression analysis, enabling researchers to gain insights into biological processes and pathways.

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16 protocols using ncounter gene expression system

1

Multiplexed Gene Expression Analysis Using NanoString

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The NanoString nCounter gene expression system (NanoString Technologies, Seattle, WA, USA) is a multiplexed probe detection system, in which a probe library is constructed with two sequence‐specific probes for each gene of interest.50, 51 mRNA expression levels are quantified via direct digital detection without the need to reverse transcribe mRNA to cDNA or the amplification of the resulting cDNA by qRT‐PCR.50, 51 The NanoString nCounter gene expression system has similar sensitivity to qRT‐PCR, superior sensitivity compared with microarrays,50, 51 and exhibits higher sensitivity for low‐abundance transcripts versus RNA‐seq.52 nCounter Mouse PanCancer Panel (NanoString Technologies) was applied to assess osteogenic, immune, and cytokine gene expression in long bone (femur + tibia) marrow and whole livers. Hybridization of samples was carried out, and products were run on the nCounter preparation station according to the manufacturer's instructions. Data were collected via the nCounter digital analyzer and evaluated by nSolver Analysis Software v2.6 (NanoString Technologies). Data were normalized to the geometric means of spiked‐in positive controls and built‐in housekeeping genes. Absolute quantification of mRNA was reported as normalized mRNA counts as previously described.9, 13
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2

Profiling miRNA Responses to 2DG and TRAIL

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Total RNA was isolated from HT-29 cells after 18 h treatment with 2DG, TRAIL or both using the standardized Trizol protocol described above. MicroRNA was enriched using the miRNeasy Mini Kit (Qiagen; 217004). RNA samples were evaluated as biological replicates ensuring that the RNA concentration was 100 ng/μl with a 260/280 greater than 1.9 and a 260/230 greater than 1.8. Analysis was performed using the NanoString nCounter gene expression system.34 (link) Normalization of the raw data was performed by NanoString. The geometric mean of the top 100 expressed miRs was calculated for each assay. Using these means, a normalization factor was calculated for each assay to account for miRNA sample content variation. Subsequent replicate analysis demonstrated reproducibility between samples with R2 values ranging from 0.92 to 0.98. The nCounter assay also included a set of six internal, positive control probes and eight negative control probes. The highest count detected from a negative control was 24, which was used as the limit of reliable detection of other miRs in the assay.
For kinase inhibitor screening, 8×103 HT-29 cells were seeded and treated with 10 mM 2DG, 50 ng/ml TRAIL and compounds from the kinase inhibitor library (Enzo Life Sciences, Farmingdale, NY, USA; BML-2832).
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3

Single-cell RNA profiling of CAR T-cell therapy

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Tumour samples were collected from NXS2-mCD19 animals on day 18 of the experiment. The samples were collected and enzymatically digested (Liberase, Roche) into single-cell suspensions. CD45+ cells were sorted using BD FACS Melody (BD Biosciences) and RNA was isolated from these cells (RNeasy Plus mini kit, Qiagen). Then, mRNA levels were directly measured using the Mouse-Pan cancer immune-oncology kit from NanoString nCounter gene expression system (NanoString). Differential expression analyses of mRNA were performed using nSolver analysis software (NanoString) and visualized by ClustVis39 (link). Gene Ontology (GO) annotation analysis of the target genes was performed using the Metascape tool (http://metascape.org), which facilitates enrichment analysis of biological processes and pathways of input genes40 (link). Only genes upregulated more than 2 times in the CAR(NAP) T-cell group compared with the CAR T-cell group were imported into Metascape and output P value cut-off was set to P < 0.0001. Cell type profiling analyses were performed using nSolver analysis software (NanoString).
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4

Measuring IFNβ-Induced mRNA Profiles

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Jurkat cells were collected after 24 h of IFNβ-stimulation and RNA was isolated (RNeasy Plus mini kit, Qiagen). The mRNA levels were directly measured using the Human CAR-T characterization panel kit with additional custom probes (Table S5) from NanoString nCounter gene expression system (NanoString). The differential expression analyses of mRNA were performed using nSolver software (NanoString) and visualized in Prism software.
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5

Gene Expression Analysis of FFPE Tumour Tissue

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Tumour FFPE tissue was macro-dissected from 1 to 2 × 5-µm sections, RNA extracted using the RNeasy FFPE kit according to the manufacturer’s instructions and 100 ng of each RNA was analysed using the NanoString nCounter gene expression system.23 (link) The code set was designed by NanoString Inc. (Seattle, WA). Transcript counts were normalised between MEK signature genes and reference genes and transformed using the NanoString Normalisation Tool v2 (AstraZeneca Oncology Bioinformatics http://CRAN.R-project.org/package=NAPPA) in order to generate signature scores.20 (link) Signature scores were calculated blind to clinical outcomes.
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6

Quantifying IFNβ-induced CAR-T genes

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Jurkat cells were collected after 24 hours of IFNβ-stimulation and RNA was isolated (RNeasy Plus mini kit, Qiagen). The mRNA levels were directly measured using the Human CAR-T characterization panel kit with additional custom probes (Table S5) from NanoString nCounter gene expression system (NanoString). The differential expression analyses of mRNA were performed using nSolver software (NanoString) and visualized in Prism software.
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7

Quantifying Respiratory Pathogen Transcripts

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Total RNA (10-50 ng) was extracted using RNEasy (Qiagen, Hilden, Germany) and was subsequently hybridized against probes targeting S. pneumoniae, H. influenzae, M. catarrhalis, and S. aureus, using the nCounter gene expression system (Nanostring Technologies), which captures and digitally counts individual mRNA transcripts. Probes were chosen based on specificity profiles previously described in the literature [15, 16] . The laboratory tests were performed at the Laboratory for Clinical and Epidemiological Virology, Rega Institute for Medical Research, KU, in Leuven, Belgium. Raw data were processed using nSolver 2.0 software (Nanostring Technologies) sequentially correcting three factors: technical variation between batches (positive control RNA), background correction (negative control) and RNA content by adjusting the counts geometric mean for the 15 housekeeping genes, followed by normalization using logarithmic transformation (base 2).
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8

Profiling Immune Cell Gene Expression

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Gene expression profiles of LP CD4+ T cells (Fig. 2B) and DC subsets (Fig. 5A) were analysed with the Mouse Immunology Kit containing 547 immune-related genes and the NanoString nCounter gene expression system (NanoString Technologies, Seattle, WA). Briefly, 10,000 cells of each T cell or DC subset were lysed in RLT buffer (Qiagen, Valencia, CA). The lysates were hybridized for 16 h with the Mouse Immunology Kit and loaded into the nCounter prep station followed by quantification using the nCounter Digital Analyzer (NanoString Technologies). The nCounter data were normalized in two steps: firstly using the positive spiked-in controls provided by the nCounter instrument (NanoString Technologies), and secondly, according to the expression of 14 control genes (Alas1, Eef1g, G6pdx, Gapdh, Gusb, Hprt, Oaz1, Polr1b, Polr2a, Ppia, Rpl19, Sdha, Tbp and Tubb5).
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9

IFN Response Gene Expression Profiling

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Select IFN response gene expression findings using HTA 2.0 arrays were tested for correlation by mRNA expression profiling using a NanoString nCounter gene expression system (NanoString Technologies) 23.
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10

Transcriptome Analysis of Immune Profiles

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RNA samples (n = 36) underwent target-specific expression analysis using the NanoString nCounter gene expression system (NanoString Technologies, Seattle, WA, USA) as has been described previously (Geiss et al. 2008 (link); Perez et al. 2019 (link); Daum et al. 2020 ; Kulkarni 2011 ). nCounter PanCancer Immuno Profiling Panel (Cesano 2015 (link)) and the PanCancer Pathway Panel (Omarini et al. 2018 (link)) were employed to assess the expression level of a total of 1390 genes, including endogenous controls. The nCounter assay analysis was performed as previously described using 300 ng of total RNA, based on the manufacturer’s protocol (Kulkarni 2011 ).
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