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S4 flow cell

Manufactured by Illumina
Sourced in United States

The S4 flow cell is a key component of Illumina's sequencing systems. It is designed to enable high-throughput DNA sequencing, providing a platform for researchers to efficiently analyze genetic samples. The S4 flow cell facilitates the flow of reagents and samples during the sequencing process, allowing for the generation of sequencing data.

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13 protocols using s4 flow cell

1

Illumina COVIDSeq Library Preparation

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The libraries were prepared using the Illumina COVIDSeq protocol (Illumina Inc., San Diego, CA, USA). Each previously purified PCR product was processed for tagmentation and adapter ligation using IDT for the Illumina Nextera UD Indexes Set A, B, C and D (384 indexes, 384 samples). Further enrichment and clean-up were performed as per the protocols provided by the manufacturer (Illumina Inc., San Diego, CA, USA). One COVIDSeq-positive control HT (CPC HT) and one non-template control (NTC) were added to the protocol. All libraries were pooled together. The pooled samples were quantified using Qubit 2.0 fluorometer (Invitrogen Inc., MA, USA) and fragment sizes were analysed in Agilent Fragment analyser 5200 (Agilent Inc., Santa Clara, CA, USA). The pooled libraries were further normalised to a 4-nM concentration, and 25 μL of each normalised pool containing index adapter sets were combined in a new microcentrifuge tube to a final concentration of 100 pM and 120 pM. For sequencing, the pooled libraries were denatured and neutralised with 0.2-N NaOH and 400-mM Tris-HCL (pH-8). Replicates of each of the 384 sample pools were loaded onto the S4-flow cell following the NovaSeq-XP workflow, as per the manufacturer’s instructions (Illumina Inc., San Diego, CA, USA). Dual-indexed single-end sequencing with a 36-bp read length was carried out on the NovaSeq 6000 platform.
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2

Spatial Transcriptomics of Tumor Microenvironment

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ZipSeq spatial transcriptomics was performed as described previously (Hu et al., 2020 (link)). Briefly, B78ChOVA cells were injected subcutaneously as described above and were harvested day 16 post-injection. Tumors were sectioned while live using a compresstome (Precisionary Instruments VFZ-310–0Z) to generate ~160 μm sections. The sectioning, imaging, spatial barcoding, tumor dissociation, sorting, 10X encapsulation and library construction were identical to the methods described in (Hu et al., 2020 (link)). The targeted number of cells for loading was 5000. With this in mind, we aimed for 30,000 reads per cell during sequencing on an Illumina S4 flowcell with a 1:10 molar ratio of Zipcode reads to gene expression reads. Resulting fastq files were processed using the CellRanger 4.0.0 pipeline, aligning to the GRCm38 Mus musculus assembly. CellRanger output thus resulted in ~359k reads for the gene expression library and ~40k reads for the Zipcode library.
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3

cfDNA Extraction and Sequencing

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Cell-free DNA (cfDNA) was extracted from plasma using MagMAX cfDNA isolation kit. After PicoGreen quantification, 47–500 ng of cfDNA were used to make sequencing libraries using the KAPA Hyper Prep Kit (Kapa Biosystems KK8504) with 4 cycles of PCR and pooled equimolar. One sample with sufficient input was prepared PCR-free. Samples were run on a NovaSeq 6000 in a PE150 run, using the NovaSeq 6000 SBS v1 Kit and an S4 flow cell (Illumina). The average coverage per sample was 91X.
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4

Nonacus Exome Sequencing Protocol

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Exome sequencing was performed using a customized Nonacus Exome CG panel (Nonacus, Birmingham, UK) and Nonacus protocol (Protocol Guide v1.2.2) with minor modifications. In brief, 200ng of genomic DNA was used for exome pre-capture library preparation. Library preparations were carried out on a Hamilton StarLet robotic platform (Hamilton Company, Reno, NV, USA) and library qualitative checks were undertaken using Tapestation 4200 (Agilent Technologies, Santa Clara, CA, USA). Sample libraries were sequenced on a NovaSeq6000 Platform using an S4 flow cell (Illumina).
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5

DNA Library Preparation and Sequencing

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After PicoGreen quantification and quality control by Agilent BioAnalyzer, 500ng of genomic DNA were sheared using a LE220-plus Focused-ultrasonicator (Covaris catalog # 500569) and sequencing libraries were prepared using the KAPA Hyper Prep Kit (Kapa Biosystems KK8504) with modifications. Briefly, libraries were subjected to a 0.5X size select using aMPure XP beads (Beckman Coulter catalog # A63882) after post-ligation cleanup. Libraries not amplified by PCR (07652_C) were pooled equivolume and were quantitated based on their initial sequencing performance. Libraries amplified with 5 cycles of PCR (07652_D, 07652_F, 07652_G) were pooled equimolar. Samples were run on a NovaSeq 6000 in a 150bp/150bp paired end run, using the NovaSeq 6000 SBS v1 Kit and an S4 flow cell (Illumina), as previously described22.
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6

Metagenomic Library Preparation and Sequencing

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After PicoGreen quantification and quality control by Agilent Bio-Analyzer, 500 ng of gDNA were sheared using a LE220-plus Focused-ultrasonicator (Covaris catalog # 500569) and sequencing libraries were prepared using the KAPA Hyper Prep Kit (Kapa Biosystems KK8504) with modifications. Briefly, libraries were subjected to a 0.5× size select using aMPure XP beads (Beckman Coulter catalog # A63882) after post-ligation cleanup. Libraries not amplified by PCR (07652_C) were pooled equivolume and were quantitated based on their initial sequencing performance. Libraries amplified with 5 cycles of PCR (07652_D, 07652_F, 07652_G) were pooled equimolar. Samples were run on a NovaSeq 6000 in a 150 bp/150 bp paired-end run, using the NovaSeq 6000 SBS v1 Kit and an S4 flow cell (Illumina).
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7

Whole Genome and Targeted Sequencing of Tumor Samples

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For each WGS sample, 500ng of genomic DNA was sheared and sequencing libraries were prepared using the KAPA Hyper Prep Kit (KAPA Biosystems). Samples were run on a NovaSeq 6000 in a 150bp/150bp paired-end runs, using the SBS v1 Kit and an S4 flow cell (Illumina). The average sequence coverage was 69 for tumor samples and 35 for normal samples (supplemental Table 2). All new sequencing data will be available on publication.
The targeted sequencing data were produced using the MSK-IMPACT Heme gene panel,22 (link) with all data previously published23 (link),24 (link) and accessible in the cBioportal for Cancer Genomics (http://cbioportal.org/msk-impact).25 (link) Copy number aberration had been previously defined by Fraction and Allelic Copy number Estimation from Tumor/normal Sequencing.26 (link)
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8

RNA Sequencing of Developing Wheat Grains

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Total RNA extraction was performed using a modified method from Li and Trick [35 (link)], then cleaned using Qiagen® (Germantown, MD, USA) RNeasy Plant Kit. Each sample consists of total RNA extract from several similar sized developing grains collected from the same inflorescence. The processed total RNA was sent to Genomic and Bioinformatics Service, Texas A&M AgriLife, Texas A&M University for poly-A selection, cDNA library construction, and sequencing. mRNA was isolated using a Nextflex® Poly-A Selection kit (Perkin Elmer, Waltham, MA, USA). cDNA libraries were generated using a Nextflex® Rapid Directional RNA kit. The libraries of three highest quality samples per cultivar (i.e., TAM 111 and TAM 112) per DAF (i.e., 5 DAF and 14 DAF), a total of 12 separate samples were sequenced on a NovaSeq 6000 using an S4 flow cell with 100 nucleotide paired-end reads (Illumina, San Diego, CA, USA), approximately 50 million paired reads per sample.
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9

Illumina TruSeq Stranded mRNA Sequencing Protocol

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Libraries were prepared at SNP&SEQ Technology platform at NGI Uppsala, using the Illumina TruSeq Stranded mRNA protocol. Quality control and quantification of RNA samples and libraries was performed using Agilent TapeStation (Agilent). Libraries were indexed and normalized, then paired end sequencing (100 bp) was performed on an Illumina NovaSeq6000 sequencer using a single S4 flow cell (Illumina). To avoid batch effects between different lanes of the flow cell, biological replicates were distributed evenly across the four lanes. Libraries of two samples (BK119.A and U84.A) failed initial sequencing and were resequenced at 150 bp PE and the same platform.
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10

RNA-Seq Profiling of CLE and Normal Blood Samples

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62 CLE and 10 normal blood samples were collected in PAXGene blood RNA tubes and EDTA-coated purple top tubes. Total RNA was isolated and purified using RNeasy Plus 96 Kit (Qiagen) as per the manufacturer’s protocol. RNA quality was assessed using Bioanalyzer RNA 6000 pico assays (Agilent) and quantity was determined with a DS-11 spectrophotometer (DeNovix). 100 ng of each RNA sample was used as input for conversion to sequencing libraries using a KAPA RNA HyperPrep Kit with RiboErase (Roche), which included globulin and ribosomal RNA depletion, cDNA synthesis, library amplification, and indexing. Final library quality was assessed using Bioanalyzer High Sensitivity DNA assays (Agilent). Samples were sequenced in the Oklahoma Medical Research Foundation (OMRF) Clinical Genomics Core on a NovaSeq 6000 using a S4 flowcell (Illumina). Raw sequencing reads were converted to FASTQ with bcl2fastq (version 2.20), trimmed using BBmap (version 38.45), and aligned to the human GENCODE v32 transcriptome using STAR (version 2.7.1a).
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