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Surecall software

Manufactured by Agilent Technologies
Sourced in United States

SureCall software is a powerful analytical tool developed by Agilent Technologies. It is designed to provide users with reliable and accurate results when analyzing complex data sets. The software's core function is to assist in the processing and interpretation of data generated by various analytical instruments, enabling users to gain valuable insights from their experiments.

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34 protocols using surecall software

1

Variant Calling and Analysis of Liquid Biopsy Samples

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Raw fastq files were processed with the Agilent SureCall Software (version 3.5.1.46). A median sequencing depth of 158-fold, 83-fold, 74-fold, and 47-fold was achieved in germline, FFPE, cfDNA, and CTC samples, respectively. Personal alterations were excluded when detected in the individual whole blood sample. Remaining alterations were sieved based on their predicted deleterious effect annotated in the COSMIC database [51 (link), 52 ] and the Cancer Genome Interpreter [53 (link), 54 ]. Further analysis was performed as previously described [50 (link)]. The detailed procedure of variant calling and data analysis is described in the Supplementary information and depicted in Supplementary Fig. 2. Sequencing data will be available from the corresponding author upon reasonable request.
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2

Targeted Sequencing of Cancer Genes

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Targeted sequencing was performed using the HaloPlex Target Enrichment System for Illumina sequencing (Agilent Technologies, Santa Clara, CA, USA) for a custom-designed set of 812 cancer-related genes. Data were analysed by SureCall software (version 2.0.7.0, Agilent Technologies) and Integrative Genomics Viewer (IGV) (version 2.3.25, Broad Institute). Targeted highly multiplexed PCR with semiconductor-based sequencing using the Ion AmpliSeq assay was performed as described previously15 (link), analysing the MAX gene (NM_002382) coding sequence, an additional two nucleotides adjacent to each exon, and 1 kb of upstream sequence. Amplicon size ranged from 125 to 275 bp (including primers) with an average of 243 bp. Inserts ranged in size from 77 to 230 bp (excluding primers), with an average of 194 bp. Ion AmpliSeq detection for homozygous deletions was performed after normalization to non-neoplastic DNA sequences and establishing cutoffs based on estimated presence of 30% non-neoplastic cells in low-/intermediate-risk GISTs and 20% non-neoplastic cells in high risk/metastatic GISTs. Deletion of at least nine consecutive amplicons and/or a ratio of <0.4 for markers located at either the 3′- or 5′-end of the gene in relation to all markers in a given case were defined as criteria for homozygous deletion.
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3

Target Enrichment Sequencing Protocol

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Fastq files from the sequencer were redirected to a custom pipeline for HaloPlex Target Enrichment System on the DNA nexus platform and/or to Agilent Surecall software.
Briefly, reads were aligned to the human reference genome (GRCh37/hg19) (http://hgdownload.cse.ucsc.edu/) with Burrows-Wheeler Aligner (BWA) [28 (link)] and variants were called using at least 2 of the 3 following variant callers: Genome Analysis Toolkit (GATK) [29 (link)–31 ], Freebayes [32 ] (both within the DNA nexus platform), and Base Alignment Quality (BAQ) Single Nucleotide Polymorphism (SNP) caller (within SureCall tool).
Variants passing quality filters were annotated separately against NCBI RefGene (http://www.ncbi.nlm.nih.gov) and ENSEMBL Variant Effect Predictor ver.72 (http://www.ensembl.org/info/docs/tools/vep).
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4

Genomic Variant Analysis Pipeline

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Primary analysis was done at Macrogen. Generated FASTQ files were mapped to the reference genome using the SureCall software from Agilent technologies. The Illimuna Variant Studio was used for annotation and variant calls. The Integrative Genomics Viewer (IGV) was also used as a high-performance visualization tool for genomic annotations [9 (link)]. To assess the pathogenicity of possible candidates, we used SIFT (http://sift. jcvi.org/), PolyPhen2 (http://genetics.bwh.harvard.edu/ pph2/),MutationTaster (http://www.mutationtaster.org/), and GERP++ (http://mendel.stanford.edu/ SidowLab/downloads/gerp/) scores to predict deleterious variants. To predict the effect of the detected mutations on the protein structure and stability, we used DUET software (http://biosig.unimelb.edu.au/duet/stability).
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5

Genetic Analysis of Tubulopathies

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Genomic DNA samples were extracted from peripheral blood mononuclear cells. Polymerase chain reaction amplification and Sanger method sequencing were initially performed for the SLC12A3 gene using a 3130 genetic analyzer (Thermo Fisher Scientific, Tokyo, Japan). From August 2015, samples were used for targeted sequencing of genes responsible for tubulopathies (including SLC12A3). A custom gene panel using a Haloplex target enrichment system kit (Agilent Technologies, Tokyo, Japan) was used. For targeted sequencing analysis, sequence data were analyzed using SureCall software (Agilent Technologies, Tokyo, Japan). All genetic variations detected by next-generation sequencing analysis were confirmed using the Sanger method.
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6

Targeted NGS panel for iron-related genes

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Patient DNA was extracted from peripheral blood using the QIAamp DNA Blood Mini Kit (Qiagen, Redwood City, CA, USA) and analyzed using a targeted NGS gene panel (v16 #10030 for proband 1-II.2 and v15 for proband 2-II.4) in BloodGenetics S.L. (Esplugues de Llobregat, Spain), which included the following genes: ACVR1, ATP4A, ATP7B, TF, CP, TMPRSS6, SLC11A2 and STEAP3. The library was constructed using the Custom HaloPlexTM HS Target Enrichment System (Agilent Technologies, Santa Clara, CA, USA) and sequenced on a MiniSeq platform (Illumina, San Diego, CA, USA) [20 (link)]. Data were analyzed with SureCall software (Agilent Technologies, Santa Clara, CA, USA) and Varsome Clinical software (Saphetor SA, Lausanne, Switzerland) [21 (link)]. PCR validation of the specific mutations was performed with 50 ng of genomic DNA. Primer sequences and PCR conditions are available upon request. The resulting amplification products were verified on a 2% ethidium bromide agarose gel. PCR products were purified with NucleoSpin® Gel and PCR Clean-up Kit (Macherey-Nagel, GmbH & co KG, Düren, Germany) and then sequenced using the conventional Sanger method. Sequencing results were analyzed using Chromas 2.6.6 (Technelysium Pty Ltd., South Brisbane, Australia) software.
Genetic variants refer to NM_000617.3 for the Homo sapiens SLC11A2 transcript variant, and NP_000608.1 for Homo sapiens DMT1 protein.
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7

DNA Extraction and Mutational Profiling Protocol

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DNA was extracted using Qiagen DNeasy Extraction kit according to the manufacturer’s protocol. Mutational profiling of PDX models was performed using an in-house gene panel targeting 327 genes (Supplementary Table 3) with the HaloplexHS target enrichment system (Agilent, Santa Clara, CA, USA) as described previously [29 (link)]. Sequencing analysis was carried out on the Illumina NextSeq500 platform (Illumina, San Diego, CA, USA). Raw FASTQ files were further processed with Agilent SureCall Software (version 3.5.1.46). A more detailed description of sequencing, data processing and analysis is provided in the Supplementary Data.
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8

Screening CRC Predisposition Genes

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The first 164 samples (Madrid) were screened through an NGS Haloplex custom panel (Agilent Technologies, U.S.) of 22 CRC-related predisposition genes sequenced in a MiSeq System (Illumina, U.S.) (Table 1). Data analysis and variant calling were performed with the SureCall software (Agilent Technologies, U.S.). Exome data provided by Grupo de Medicina Xenomica-USC (Galicia) was used to screen for GALNT12 variants in the remaining 19 samples. The exome enrichment system used was SureSelect Human All Exon v6 (Agilent Technologies) and sequencing was carried out in an Ion Proton System (Thermo Fisher Scientific, U.S.).
The filtering strategy is described in Fig 1. All rare (novel or MAF<0.01), deleterious or possibly deleterious variants (according to protein and/or splicing alteration prediction tools) were selected for validation by direct sequencing. MaxEnt and HSF [11 (link)] were used to predict splicing alterations and SIFT [12 (link)], Polyphen2 [13 (link)] and MutationTaster [14 (link)] to predict protein damage. GALNT12 candidate variants have been submitted to ClinVar, NCBI (https://www.ncbi.nlm.nih.gov/clinvar/).
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9

Targeted Sequencing of COQ2 in MSA

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Genomic DNA was extracted from frozen brain tissue using commercial reagents (DNA mini kit; Qiagen, Valencia, CA, US). To exclude mutations in COQ2 which have been associated with MSA, targeted sequencing was performed using a neurodegenerative disease-focused panel that targets the coding exons of 45 genes, including COQ2. The library of the target regions was prepared with Haloplex enrichment kit (Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer’s protocol. Sequencing was performed on an Illumina, San Diego, CA, USA, Mi-Seq using 150 base paired-end reads. Following quality control procedures, alignment of sequence reads and variant calling was assessed using SureCall software (Agilent).
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10

Targeted Sequencing of RAS Pathway Genes

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Target deep sequencing of RAS pathway genes including the PTPN11, NRAS, KRAS, and NF1 were analyzed using SureDesign software (Agilent Technologies, Santa Clara, CA). Libraries were prepared using the HaloPlex Target Enrichment System (Agilent Technologies), followed by paired‐end sequencing on a MiSeq instrument (Illumina, San Diego, CA). Bioinformatic analysis was performed using the SureCall software (Agilent Technologies). Common germline polymorphisms reported in public databases were excluded and nonsense, frameshift, splice site, nonsynonymous variants were considered as mutations. Minimal allele frequency for mutation calling was set at 0.3.
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