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Fluidigm biomark hd

Manufactured by Standard BioTools
Sourced in United States

The Fluidigm Biomark HD is a high-throughput microfluidic platform designed for gene expression analysis, digital PCR, and single-cell analysis. It enables simultaneous measurement of up to 96 targets across 96 samples, providing a comprehensive and efficient solution for genomic research.

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11 protocols using fluidigm biomark hd

1

High-Throughput Protein Quantification Protocol

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We randomized the patients’ serum samples across four 96-well plates such that each sample was assayed once. On each plate we included two “Pooled Reference” controls, containing equal volumes of serum from each of the samples. The Proseek® platform also includes three “Interplate controls” for data normalization between plates and three “Negative controls” to establish background levels. One microliter of serum from each of the samples was mixed with the Oncology II reagents following the manufacturer’s protocol, then processed in combination with the Fluidigm® BioMark™ HD high-throughput PCR instrument at the University of Minnesota Genomics Center as previously described (13 (link)). Data generated from the plates were analyzed, including normalization and linearization, per manufacturer protocol. The assay reports relative quantification on a log2 scale, as Normalized Protein eXpression (NPX) values, which are cycle threshold (Ct) values normalized by the subtraction of values for the extension control. All assay characteristics including detection limits and measurements of assay performance and validation are available from the manufacturer’s website (http://www.olink.com/products/).
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2

Profiling Serum Inflammation and Cardiovascular Biomarkers

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Serum was analyzed with the Olink PEA technology platform using the Inflammation I (95302) and Cardiovascular II (95500) Proseek panels, according to manufacturer protocols. The Fluidigm BioMark HD was used to measure analyte-specific, DNA-amplified products for each sample. The unit of measure, calculated from cycle threshold (Ct) values and expressed on a log2 scale, is represented as normalized protein expression (NPX) values.
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3

Quantifying Lung Cell Transcripts

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RNA and genomic DNA were extracted from sorted cancer cells using AllPrep DNA/RNA Micro Kit (Qiagen). Lentiviral barcode sequences were PCR amplified from genomic DNA and directly sequenced or TOPO cloned (Invitrogen) and sequenced. Fluidigm qPCR was performed on 2ng of total RNA from each sample. Site-specific target amplification and real-time PCR was performed on the Fluidigm BioMark HD using Taqman primer-probesets for Nkx2-1(Mm00447558_m1) and Sftpb (Mm00455672_g1)(Applied Biosystems) using standard methods. Samples were run in quadruplicate and normalized to the average of three housekeeping genes (Rpl27(Mm01245874_g1), Rps29(Mm02342448_gH), and Actb(Mm01205647_g1)).
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4

Multiplex Gene Expression Analysis of Neuroinflammation

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Gene expression analysis was used to examine genes related to immune, oxidative stress, glutamate, and apoptotic pathways. Total RNA was isolated by hand from 20 mg of ipsilateral parietal cortex tissue using a RNeasy® Mini Kit (Qiagen, Germantown, MD, USA). A total of 200 ng of yielded RNA proceeded to cDNA synthesis using Quantabio qScript XLT cDNA SuperMix (Quantabio). Multiplex qPCR was performed with Fluidigm BioMark™ HD. For each sample, 1.25 μL of the resulting cDNA was combined with 3.75 μL of Sample Pre Mix (Life Technologies TaqMan® PreAmp Master Mix and Pooled Taqman assays) and pre-amplified for 14 cycles. The reaction products were diluted 1:5 and loaded onto the Gene expression IFC according to Fluidigm® IFC Standard Taqman Gene expression workflow. 37 TaqMan® gene expression assays related to immune cells, neuroinflammation, oxidative stress, apoptosis, and the glutamate pathway, and 4 housekeeping gene assays were used as detailed in Table 2. Cycle threshold (Ct) values were collected for analysis, using the 2–ΔΔCt method.
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5

Proseek Oncology II Protein Profiling

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The levels of 92 oncology related proteins were quantified in 1 ul of serum using the Proseek Oncology II Proximity Extension Immunoassay Panel (Olink, Uppsala, Sweden) as previously described [12 (link)]. Samples were randomly assigned to 96-well plates using stratified randomization based on the institution of origin, diagnosis (healthy vs. cancer), ovarian cancer subtype, age, and race (when available). Samples were run on the Proseek Oncology II panel to quantify the level of protein expression. Each sample was mixed with the Proseek Oncology II reagents according to the manufacturer’s instructions and quantified by Q-PCR using a Fluidigm® BioMark™ HD high-throughput PCR instrument at the University of Minnesota Genomics Center. The Proseek platform includes three “interplate controls” for data normalization between plates and three “negative controls” to establish background levels. Internal controls for incubation and extension are included by Olink in each assay for quality control. The Proseek® assay reports relative quantification on a log2 scale, as Normalized Protein eXpression (NPX) values, which was normalized according to the manufacturer’s protocols. Samples that did not pass Olink quality control were not included in the analysis.
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6

Quantitative Gene Expression Analysis

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We extracted total RNA from mouse hippocampus with the RNeasy Mini Kit (catalog no. 74104; QIAGEN) and prepared cDNA with the high-capacity RNA-to-cDNA kit (cat# 4388950; Applied Biosystems) following the manufacturer’s instructions. cDNA was further purified using QIAquick PCR purification kit following the manufacturer’s instructions (cat# 28104; QIAGEN). Gene expression analysis was performed using microarray in collaboration with the Genome Technology Access Core at Washington University. Using TaqMan probes, the relative gene expression was quantitatively measured using Fluidigm Biomark HD with integrated fluidic circuits. The data were normalized by evaluation of geometricCt mean of housekeeping genes (GAPDH, RN18S1 and ACTB) for each sample. Then the expression levels were calculated according to the ΔΔCt method.
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7

Neuroinflammation and Vascular Gene Expression in Rat Hippocampus

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At 11 days post injury, rats were anesthetized and decapitated. The ipsilateral hippocampus was dissected, rapidly frozen, and stored at −80°C. Gene expression analysis was used to examine genes related to vascular health, neuroinflammation, and hypoxia. Total RNA was isolated from 20 mg tissue by a RNeasy® Mini Kit (Qiagen) running by QIAcube (Qiagen). 200 ng yielded RNA were proceeded to cDNA synthesis using Quantabio qScript XLT cDNA SuperMix (Quantabio). Multiplex qPCR was performed with Fluidigm BioMark HD™. For each sample, 1.25 μl of the resulting cDNA were combined with 3.75 μl of Sample Pre Mix (Life Technologies TaqMan® PreAmp Master Mix and Pooled Taqman assays) and preamplified for 14 cycles. The reaction products were diluted 1: 5, and loaded onto the Gene expression IFC according to Fluidigm® IFC Standard Taqman Gene expression workflow. 42 TaqMan® gene expression assays related to neuroinflammation, hypoxia injury and vascular health, and 4 housekeep gene assays were used and detailed in Table 2. Cycle threshold (Ct) values were collected for analysis, using the 2−ΔΔCt method.
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8

Single-cell RNA-seq of melanoma cells

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One million cells were plated in 10 cm tissue culture plates and allowed to attach overnight. Cell culture media was changed to fresh media and cells were allowed to grow an additional 24 h. Cells were detached through trypsinization and loaded onto the Fluidigm C1 IFC, for single, live cell annotation, lysis, reverse transcription and pre-amplification according to manufacturer's protocol. cDNA products were split up evenly among ten Dynamic Array IFCs, including pooled cDNA and multiple other positive and negative controls to monitor amplification and plate-to-plate effects. IFCs were analysed on the Fluidigm Biomark HD using a panel of 88 Delta Gene Assays (Supplemental Table 1). This was a custom-built gene panel chosen to represent the key signalling molecules and transcription factors known to be involved in melanoma biology and BRAF inhibitor resistance.
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9

Colonic Microbiome Profiling Protocol

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Colonic samples (n = 5 per treatment group, 15 total) were collected within 10 min of euthanasia. Colonic samples (1 to 2 pellets/tube) were collected into Eppendorf tubes. All samples were immediately placed in liquid nitrogen and then stored in the laboratory at −80 °C prior to analysis.
Microbial DNA was extracted from colonic samples using the DNeasy PowerLyzer PowerSoil Kit by QIAGEN. The protocol uses a bead-beating method to extract the DNA. DNA extraction was acquired by following the manufacturer’s instructions. DNA concentration was measured using NanoDrop-1000 spectrophotometer. The full-length 16S region was amplified using a Fluidigm Biomark HD and sequenced on a Pacific Biosciences Sequel IIe at the Functional Genomics and DNA Services units at the Roy J. Carver Biotechnology Center at the University of Illinois.
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10

Genotyping Cotton F2 Populations

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Good markers obtained in screening of the G. barbadense SNPs were used to genotype 118 F2 (3-79×TM-1) individuals, two parents (G. hirsutum line TM-1 and G. barbadense line 3-79), and F1 (3-79×TM-1) as controls. KASP assays were run using the Fluidigm system in 96.96 dynamic array format, utilizing multiple arrays, and read using the Fluidigm BioMark HD (Fluidigm, San Francisco, CA). Clustering for genotyping was performed using Fluidigm SNP Genotyping Analysis software. Genotypes of the 118 F2s for successfully genotyped markers were imported into JoinMap 4.1 (Van Ooijen 2011 ), and identical markers were removed (Table S5) and linkage mapped using the maximum likelihood algorithm and Haldane’s mapping function with default parameters. Linkage groups were determined using LOD scores of 5.0 or more. Cytogenetic stocks including F1 hypo-aneuploids, each deficient for a known G. hirsutum chromosome, were also genotyped for the same markers.
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