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Sciclone ngsx workstation

Manufactured by PerkinElmer
Sourced in United States

The Sciclone NGSx Workstation is a high-performance laboratory automation platform designed for Next-Generation Sequencing (NGS) sample preparation workflows. It offers precision liquid handling capabilities and integrated thermal cycling to enable efficient and reliable NGS library preparation.

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14 protocols using sciclone ngsx workstation

1

RNA-seq Library Preparation and Sequencing

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RNA was extracted and purified from the Ptm lymphocytes using the RNeasy Mini kit (Qiagen) following manufacturer's protocol. Total RNA integrity was checked using an Agilent 2200 TapeStation (Agilent Technologies) and quantified using a Trinean DropSense96 spectrophotometer (Caliper Life Sciences). RNA-seq libraries were prepared from total RNA using the TruSeq RNA Sample Prep Kit v2 (Illumina) and a Sciclone NGSx Workstation (PerkinElmer). Library size distributions were validated using an Agilent 2200 TapeStation (Agilent Technologies). Additional library QC, blending of pooled indexed libraries, and cluster optimization were performed using Life Technologies’ Invitrogen Qubit 2.0 Fluorometer (Life Technologies-Invitrogen). RNA-seq libraries were pooled (6-plex) onto a flow cell lane. Sequencing was performed using an Illumina HiSeq 2500 in rapid mode employing a paired-end, 50 base read length (PE50) sequencing strategy. Image analysis and base calling were performed using Illumina's Real Time Analysis v1.18 software, followed by 'demultiplexing' of indexed reads and generation of FASTQ files, using Illumina's bcl2fastq Conversion Software v1.8.4.
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2

Automated High-Throughput RNA Sequencing

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RNA was sequenced at Northwest Genomics Center, where next-generation sequencing libraries were prepared from 1.25 µg of total RNA in a high-throughput format, using the TruSeq Stranded mRNA kit (Illumina, San Diego, CA, USA). All the steps required for sequence library construction were automated and performed on a Sciclone NGSx Workstation (Perkin Elmer, Waltham, MA, USA). During library construction, rRNA was depleted by means of a poly-A enrichment, and first and second strand cDNA syntheses were performed. Each library was uniquely barcoded using Illumina adapters and amplified by PCR. After amplification and cleanup, library concentrations were quantified using the Quant-it dsDNA assay (Life Technologies, Carlsbad, CA, USA). Final libraries were normalized and pooled based on Agilent 2100 Bioanalyzer results (Agilent Technologies, Santa Clara, CA, USA) and size selected using a Pippin Prep (Sage Science, Beverly, MA, USA). Pooled libraries were diluted to a final concentration of 2–3 nM for sequencing on a HiSeq 4000, to a read depth of 30 million base pairs. Samples were multiplexed and sequenced on a HiSeq 4000. Lane-level sequencing reads were base quality checked using the FASTX-toolkit and FastQC, and aligned to hg19 with a reference transcriptome Ensembl v67, using TopHat2 suite [56 (link)] followed by matefixing, as described previously [28 (link)].
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3

Retinal RNA Extraction and RNA-seq

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RNA from retinas was isolated using TRIzol (Invitrogen) and total RNA integrity was checked using an Agilent 4200 TapeStation and quantified with a Trinean DropSense96 spectrophotometer. RNA-seq libraries were prepared from total RNA using the TruSeq RNA Sample Prep kit (Illumina) and a Sciclone NGSx Workstation (PerkinElmer). Library size distributions were validated using an Agilent 4200 TapeStation. Additional Library quality control, blending of pooled indexed libraries, and cluster optimization were performed using Life Technologies’ Invitrogen Qubit Fluorometer. RNA-seq libraries were pooled (4-plex) and clustered onto a flow cell lane. Sequencing was performed using an Illumina HiSeq 2500 in rapid mode employing a paired-end, 50 base read length (PE50) sequencing strategy.
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4

Automated RNA-Seq Library Preparation

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From each nasal RNA sample, 10ul was aliquoted to a library construction plate using the Perkin Elmer Janus Workstation (Perkin Elmer, Janus II). Ribosomal depletion, cDNA synthesis, and library construction steps were performed using the Total Stranded RNA Prep with Ribo-Zero Plus kit, following the manufacturer’s instructions (Illumina). All steps were automated on the Perkin Elmer Sciclone NGSx Workstation to reduce batch-to-batch variability and increase sample throughput. Final cDNA libraries were quantified using the Quant-it dsDNA High Sensitivity assay, and library insert size distribution was checked using a fragment analyzer (Advanced Analytical; kit ID DNF474). Samples, where adapter dimers constituted more than 4% of the electropherogram area, were failed before sequencing. Technical controls (K562, Thermo Fisher Scientific, cat# AM7832) were compared to expected results to ensure that batch to batch variability was minimized. Successful libraries were normalized to 10nM for sequencing.
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5

DUX4 Knockdown and Pulsing RNA-Seq

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MB135iDUX4 cells were treated with siRNA knockdown as described above followed by DUX4 pulsing, either once or twice, in triplicate, and harvested 24 h after the start of a pulse. Untreated cells were also harvested from triplicate wells as negative controls. The NucleoSpin RNA kit (Macherey-Nagel) was used to extract RNA from whole cells, following the manufacturer’s instructions. RNA-seq libraries were prepared using the Illumina TruSeq RNA Sample Prep v2 Kit and a PerkinElmer Sciclone NGSx Workstation. All 15 libraries were pooled and sequenced on two flow lanes. The in-house R package and bioinformatics analysis were done with R-3.4.3/Bioconductor-3.5.
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6

High-Throughput RNA Sequencing Library Prep

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Next-generation sequencing libraries were prepared from 1.25 μg of total RNA in a high-throughput format using the TruSeq Stranded mRNA kit (Illumina, San Diego, CA). All the steps required for sequence library construction were automated and performed on a Sciclone NGSx Workstation (Perkin Elmer, Waltham, MA). During library construction, rRNA was depleted by means of a poly-A enrichment and first and second strand cDNA syntheses were performed. Each library was uniquely barcoded using Illumina adapters and amplified by PCR. After amplification and cleanup, library concentrations were quantified using the Quant-it dsDNA Assay (Life Technologies, Carlsbad, CA). Final libraries were normalized and pooled based on Agilent 2100 Bioanalyzer results (Agilent Technologies, Santa Clara, CA) and size selected using a Pippin Prep (Sage Science, Beverly, MA). Pooled libraries were diluted to a final concentration of 2–3 nM for sequencing on a HiSeq 4000.
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7

RNA-seq Library Preparation and Sequencing

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Next generation RNA sequencing was performed at the FHCRC Genomics Core. Briefly, RNA-seq libraries were prepared from total RNA using the TruSeq RNA Sample Prep Kit (Illumina, Inc., San Diego, CA, USA) and a Sciclone NGSx Workstation (PerkinElmer, Waltham, MA, USA). Library size distributions were validated using an Agilent 2200 TapeStation (Agilent Technologies). Additional library QC, blending of pooled indexed libraries, and cluster optimization were performed using Invitrogen Qubit® 2.0 Fluorometer (Life Technologies, Carlsbad, CA, USA). RNA-seq libraries were pooled (5-plex) and clustered onto a flow cell lane. Sequencing was performed using HiSeq 2500 (Illumina) in “rapid run” mode employing a paired-end, 100 base read length (PE100) sequencing strategy. Image analysis and base calling were performed using Real Time Analysis software (Illumina, v1.18), followed by ‘demultiplexing’ of indexed reads and generation of FASTQ files, using bcl2fastq Conversion Software (Illumina, v1.8.4).
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8

Trametinib-Induced Transcriptomic Changes in A375 Cells

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A375 cells were treated for 24 hours with 100nM trametinib or DMSO. RNA-seq libraries were prepared from total RNA using the TruSeq RNA Sample Prep Kit (Illumina, Inc., San Diego, CA, USA) and a Sciclone NGSx Workstation (PerkinElmer, Waltham, MA, USA). Library size distributions were validated using an Agilent 2200 TapeStation (Agilent Technologies). Sequencing was performed using an Illumina HiSeq 2500 employing a paired-end, 50 base read length (PE50) approach. Image analysis and base calling were performed using Illumina's Real Time Analysis v1.18 software, followed by ‘demultiplexing’ of indexed reads and generation of FASTQ files, using Illumina's bcl2fastq Conversion Software v1.8.4 (http://support.illumina.com/downloads/bcl2fastq_conversion_software_184.html). Low quality reads were filtered prior to alignment to the reference genome (UCSC hg38 assembly) using TopHat v2.1.028 (link). Counts were generated from TopHat alignments for each gene using the Python package HTSeq v0.6.129 (link). Genes which did not have at least 1 CPM in at least 1 sample were discarded, followed by TMM normalization using the Bioconductor package edgeR v3.12.0.30 (link). LogFC and logCPM values were calculated from the normalized results.
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9

DUX4 Knockdown and Pulsing RNA-Seq

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MB135iDUX4 cells were treated with siRNA knockdown as described above followed by DUX4 pulsing, either once or twice, in triplicate, and harvested 24 h after the start of a pulse. Untreated cells were also harvested from triplicate wells as negative controls. The NucleoSpin RNA kit (Macherey-Nagel) was used to extract RNA from whole cells, following the manufacturer’s instructions. RNA-seq libraries were prepared using the Illumina TruSeq RNA Sample Prep v2 Kit and a PerkinElmer Sciclone NGSx Workstation. All 15 libraries were pooled and sequenced on two flow lanes. The in-house R package and bioinformatics analysis were done with R-3.4.3/Bioconductor-3.5.
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10

Trametinib-Induced Transcriptomic Changes in A375 Cells

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A375 cells were treated for 24 hours with 100nM trametinib or DMSO. RNA-seq libraries were prepared from total RNA using the TruSeq RNA Sample Prep Kit (Illumina, Inc., San Diego, CA, USA) and a Sciclone NGSx Workstation (PerkinElmer, Waltham, MA, USA). Library size distributions were validated using an Agilent 2200 TapeStation (Agilent Technologies). Sequencing was performed using an Illumina HiSeq 2500 employing a paired-end, 50 base read length (PE50) approach. Image analysis and base calling were performed using Illumina's Real Time Analysis v1.18 software, followed by ‘demultiplexing’ of indexed reads and generation of FASTQ files, using Illumina's bcl2fastq Conversion Software v1.8.4 (http://support.illumina.com/downloads/bcl2fastq_conversion_software_184.html). Low quality reads were filtered prior to alignment to the reference genome (UCSC hg38 assembly) using TopHat v2.1.028 (link). Counts were generated from TopHat alignments for each gene using the Python package HTSeq v0.6.129 (link). Genes which did not have at least 1 CPM in at least 1 sample were discarded, followed by TMM normalization using the Bioconductor package edgeR v3.12.0.30 (link). LogFC and logCPM values were calculated from the normalized results.
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