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Biomark hd

Manufactured by Standard BioTools
Sourced in United States, Cameroon

The BioMark HD is a high-throughput digital PCR (dPCR) system designed for precise and sensitive nucleic acid quantification. It utilizes a microfluidic chip-based platform to perform parallel PCR reactions in nanoliter-scale chambers, enabling the absolute quantification of target molecules without the need for standard curves.

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119 protocols using biomark hd

1

High-throughput RT-PCR Analysis Using BioMark HD

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For the rtPCR analysis, the high-throughput rtPCR platform BioMark HD (Fluidigm) and the BioMark 192.24 DA IFC chip (Fluidigm) were used. For each sample, a 4-μl sample mix containing 2 μl TaqMan gene expression master mix (2 ×) (Applied Biosystems), 0.2 μl sample loading reagent (20 ×) (Fluidigm), and 1.8 μl preamplified sample was prepared. For each assay, a 4-μl assay mix containing 2 μl assay loading reagent (2 ×) (Fluidigm) and 2 μl primer-probe stock (final concentration: 16 μM primers and 5 μM probe) was prepared. Three-microliter sample mix and 3 μl assay mix were loaded into the respective inlets of the 192.24 DA IFC chip. The 192.24.DA IFC chip was placed in the IFC controller RX (Fluidigm) for loading and mixing for approximately 30 min and then subject to thermal cycling in the high-throughput rtPCR instrument BioMark HD (Fluidigm) with the following cycle conditions: 50°C for 2 min, 95°C for 10 min, followed by 40 cycles of 95°C for 15 s and 60°C for 60 s. Samples were tested in single reactions, and the assays were performed in duplicates. In each 192.24 DA IFC chip run, positive and negative (nuclease-free water; Amresco) PCR and extraction controls were included. Data, including Cq values and amplification curves, obtained on the BioMark system, were analyzed using the Fluidigm Real-Time PCR Analysis software version 4.5.2 (Fluidigm).
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2

Quantifying Interferon-Stimulated Genes in PBMCs

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Total RNA from human PBMCs were converted to cDNA (High Capacity RT kit, Life Technologies) and preamplified by limited PCR (PreAmp Master Mix, Life Technologies) with a pool of 96 primers (DeltaGene, Fluidigm). We looked at 38 ISGs in this pool of 96 primers53 (link)-56 (link). Preamplified cDNAs were treated with ExonucleaseI (New England Biolabs) and diluted to remove unused primers and dNTPs and loaded onto a 96.96 Dynamic Array IFC for real-time PCR analysis on a BioMarkHD (Fluidigm). Analysis was performed, using Fluidigm’s Real Time PCR Analysis Software to determine Ct values, using linear (derivative) baseline correction and auto-detected, assay-specific threshold determination. Ct values were standardized to 3 housekeeping genes (DOCK2, EEF1A1, and FAM105B) that showed high correlation across samples to correct for sample input differences57 . Four samples from same donor and same draw were run on both Fluidigm assays. The mean of the Ct values were used for analysis. Human sample size was based on availability of IFIH1NR/NR and IFIH1R/R subjects.
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3

Olink Proximity Extension Assay for Proteome

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Serum proteins were measured using the Olink® INFLAMMATION panel* (Olink Proteomics AB, Uppsala, Sweden) according to the manufacturer's instructions. The Proximity Extension Assay (PEA) technology used for the Olink protocol has been well described,26 (link) and enables 92 analytes to be analysed simultaneously, using 1 µL of each sample. In brief, pairs of oligonucleotide-labelled antibody probes bind to their targeted protein, and if the two probes are brought in close proximity the oligonucleotides will hybridize in a pair-wise manner. The addition of a DNA polymerase leads to a proximity-dependent DNA polymerization event, generating a unique PCR target sequence. The resulting DNA sequence is subsequently detected and quantified using a microfluidic real-time PCR instrument (Biomark HD, Fluidigm). Data is then quality controlled and normalized using an internal extension control and an inter-plate control, to adjust for intra- and inter-run variation. The final assay read-out is presented in Normalized Protein eXpression (NPX) values, which is an arbitrary unit on a log2-scale where a high value corresponds to a higher protein expression. All assay validation data (detection limits, intra- and inter-assay precision data, etc.) are available on the manufacturer's website (www.olink.com).
*Previously branded as Olink® Multiplex panels
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4

Tuberculosis Risk Signature Adaptation

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The tuberculosis risk signature was adapted from the original RNA-Seq-based platform to qRT-PCR by directly matching splice junctions in the signature to commercial TaqMan primer sets (Thermo Fisher Scientific, Supplementary Appendix 4). A complete set of qRT-PCR data for selected primers was generated for ACS training set samples, using the BioMark HD multiplex microfluidic instrument (Fluidigm). Parameters in the qRT-PCR-based version of the tuberculosis signature were then assigned by fitting the model to the dataset.
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5

Microglial Gene Expression Analysis

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Gene expression for selected targets identified from RNAseq analysis were examined in an independent set of microglial samples isolated from PND35 female littermates of animals used for sequencing (Supplemental Table S3). Gene expression analysis was performed using the Fluidigm Biomark HD Delta gene assay on a 48.48 Integrated Fluidic Circuit. Delta gene assay design was performed by Fluidigm and primer sequences are listed in Supplemental Table S3. 20ng of total RNA was used as input for cDNA synthesis (Fluidigm, 100–6472 B1) followed by pre-amplification (13ng per sample) (Fluidigm, 100–5875 C1) using a mix of all forward and reverse primers. Samples were then diluted five-fold and analyzed on a 48.48 IFC and Biomark HD machine (1.4ng/sample) in duplicate (Fluidigm, 100–9791 B1). Cycle threshold values were averaged across replicates and then normalized to hprt expression (no difference in mean Ct values for hprt between conditions, t= 1.27, p = 0.239) using the delta Ct method (Ct gene – Ct hprt). These values were then used for group comparisons with a two-tailed t-test without an assumption of equal variance. For display purposes, the delta delta Ct values were then calculated relative to the average Ct value of the PBS treated control for each gene, and relative expression levels were then calculated for each group by 2^-delta delta Ct (Figure S4D).
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6

Quantifying Proteins via Olink Proximity Assay

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Proteins were measured using the Olink® Mouse Exploratory Panel* (Olink Proteomics AB, Uppsala, Sweden) according to the manufacturer’s instructions as described previously [17 (link)]. The proximity extension assay (PEA) technology used for the Olink protocol has been well described [18 (link)] and allows 92 analytes to be analyzed simultaneously. Briefly, pairs of oligonucleotide-labeled antibody probes bind to their targeted protein, and if the 2 probes are brought in close proximity, the oligonucleotides will hybridize in a pairwise manner. The addition of DNA polymerase leads to a proximity-dependent DNA polymerization event, which generates a unique PCR target sequence. The resulting DNA sequence was subsequently detected and quantified using a microfluidic real-time PCR instrument (Biomark HD, Fluidigm, München, Germany) (Figure 6A). The data are then quality controlled and normalized using an internal extension control and an interplate control to adjust for intra- and interrun variations. The final assay read-out is presented in Normalized Protein eXpression (NPX) values, arbitrary units on a log2-scale in which a high value corresponds to high protein expression. All assay validation data (detection limits, intra- and interassay precision data, etc.) are available on the manufacturer’s website (www.olink.com; accessed date 1 May 2021).
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7

Optimizing qPCR Assays for Pluripotency and Lineage Markers

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Primers were designed for 68 genes (4 housekeeping genes and 64 pluripotency or germ layer markers) using an in-house algorithm that targeted: (1) a melting temperature of 60°C; (2) regions that spanned multiple exons when possible to minimize genomic DNA signal contamination; and (3) exons that are shared between multiple isoforms. In addition, the primers were tested and showed a single dominant melting curve peak consistent with a dominant amplification product (see Table S2 for a list of primers).
To select the most consistently expressed housekeeping gene for normalization, we tested four housekeeping genes (RPS29, GAPDH, RPL22, and DSG2). We selected RPS29 because this gene had the least variable Ct distribution across all samples (SD = 0.827), whereas the other three housekeeping genes had higher variability (SD = 1.629, 1.623, and 1.642, respectively). The exclusion of these three housekeeping genes resulted in the expression of 65 genes being utilized (1 housekeeping and 64 marker genes).
RNA was isolated from samples using either TRIzol, Qiagen RNeasy Mini Kit, or Qiagen AllPrep DNA/RNA kit. cDNA was produced using Superscript III from 100–500 ng input RNA using oligo(dT)20. Samples were prepared following the Fluidigm Advanced Development Protocol v37, and qPCR was performed on the Fluidigm BioMark HD using EvaGreen and the GE96x96 Fast PCR protocol.
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8

High-Throughput RT-qPCR Biomarker Identification

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Identification of GIC biomarker candidates was performed using RT‐qPCR. The high‐throughput qPCR platform Biomark HD (Fluidigm, San Francisco, California) was applied for this purpose in combination with the appertaining 96.96 Dynamic Array integrated fluidic circuit chips (Fluidigm, San Francisco, California). A fully detailed description of RT‐qPCR can be found in File S1.
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9

Validation of Candidate Genes by RT-qPCR

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Genes identified in the discovery phase were considered for validation by RT-qPCR, in addition to a reference gene—Glyceraldehyde 3-phosphate dehydrogenase (GAPDH)—which was used to normalize the RNA input of each sample. Primers were designed as described in Supplementary Table 2. The validation was performed using the Biomark HD (Fluidigm) and the 192.24 Dynamic Array integrated fluidic circuit (IFC) following manufacturer instructions. The IFC required the following 3 steps: reverse transcription, pre-amplification, and RT-qPCR (Supplementary Methods).
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10

Mitochondrial Gene Expression Analysis

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High-throughput gene-expression analysis with EvaGreen dye on a BioMark HD real-time PCR system was used to measure gene expression according to manufacturer’s recommendations (Fluidigm, San Francisco, CA, USA). All reagents were purchased from Fluidigm unless otherwise indicated. Briefly, cDNA was synthesized from 2 µg of total RNA using Superscript II reverse transcriptase and oligo-dT (Invitrogen) with specific target amplification and exonuclease I (New England Biolabs) treatment. qPCR reactions were performed using a 96 × 96 dynamic array and integrated fluidic circuit. Each sample inlet was loaded with 2.5 µL of 2 × SsoFast EvaGreen supermix with low ROX (Biorad), 0.25 µL of 20×DNA-binding dye sample loading reagent, and 2.25 µL of specific target amplification and exonuclease-I-treated sample. Assays were performed for mitochondrial-coded complex I subunits ND1, ND2, ND3, and ND4, complex III subunit CYB, complex IV subunit COX1, ATP synthase subunit ATP6, and nuclear-encoded complex I subunits NDUFA3, NDUFA11, NDUFA13, NDUFB8, NDUFS8, and NDUFV1, complex IV subunit COX7A2, ATP synthase subunits ATP5G1 and ATP5L, and master regulator PGC-1α. All measurements were performed in duplicate. Primer sequence information is available in Supplementary Table 4. Reference genes ACTB, RPL32, and RPS11 were used to normalize expression values.
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