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Sequence scanner software

Manufactured by Thermo Fisher Scientific
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Sequence Scanner software is a tool designed to analyze and visualize DNA sequence data. It provides a user-friendly interface for processing and interpreting sequencing results, enabling researchers to efficiently manage and interpret their genomic data.

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15 protocols using sequence scanner software

1

Genomic Flanking Region Sequencing

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The genomic regions flanking the proximal and distal 3.7 kb deletions were amplified and Sanger sequenced using DNA extracted from whole blood samples obtained from the proband, mother, and father. PCR was performed using M13‐tailed primers (Table S1), Premix D (Lucigen), and AccuStart II Taq DNA Polymerase (Quantabio). Long‐range PCR was performed using AccuStart Long‐Range SuperMix (Quantabio). Bidirectional Sanger DNA sequencing was performed with BigDye Terminator Cycle Sequencing Kit (Life Technologies, Thermo Fisher Scientific) and M13 primers (IDT) and products were electrophoresed on an Applied Biosystems 3730 DNA Analyzer. Data analysis was performed using QIAxcel Advanced System (Qiagen), Sequence Scanner Software (Life Technologies, Thermo Fisher Scientific), and NCBI Blast.
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2

Validation of A. caninum PCR Assay

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After the synthesis of the controls and the selection of primers, the technique was validated by use of 75 DNA samples from A. caninum. A first PCR amplification with primers Fa and Ra was performed for each sample, after which a second reaction was carried out using the selected primers Fs4 + Rc and Fa + Rr4. These samples also were subjected to sequencing. Thus, the product of the first reaction with primers Fa and Ra was used for a second reaction in a final volume of 25 μL, applying the same conditions described for the control syntheses, with a 0.2 µM concentration of the Fa and Rc primers. The PCR products were subsequently purified, quantified, and sequenced. Sequencing was performed according to the method originally described by Sanger et al. (1977) . All sequencing reactions were carried out using the DYEnamic ET dye terminator cycle sequencing kit (GE Healthcare), and the runs were performed using the MegaBACE Long Read Matrix (GE Healthcare) with the same primers as in the second reaction. Chromatograms were analyzed using the Sequence Scanner software (Life Technologies, Carlsbad, CA, USA).
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3

Validating Candidate Variations in Geese

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Genotypes of candidate variations were validated in another 62 individuals representing three Chinese indigenous breeds, Zhedong goose, Panshi grey goose, and Yongkang grey goose, and the swan goose. Target variations were amplified using PCR as follows: 5 min at 95 °C; 35 cycles of 95 °C for 30 s, 55 °C for 30 s and 72 °C for 40 s; and a final extension at 72 °C for 5 min. Primers used in the PCR are listed in Table S2. The anticipated PCR bands were purified using a Gel Extraction Kit (Qiagen, Hilden, Germany), and sequenced in 3730XL (Applied Biosystems, Foster City, CA, USA). Finally, results were analyzed using Sequence Scanner software (Applied Biosystems, Foster City, CA, USA).
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4

Assessing Allelic Imbalance via Sanger Sequencing

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Relative expression of the variant carrier and the normal allele was tested with Sanger sequencing. The ratio of electropherograms of the variant position on the cDNA template relative to the gDNA template was calculated. Briefly, cDNA was generated from 500 ng RNA using SuperScript™ IV Reverse Transcriptase (Thermo Fisher Scientific). cDNA primers were designed using Primer3Plus software (https//:primer3plus.com): B2-C-e24_For—GATCCAGACTTTCAGCCATCTT and Rd_B2_Ex27.01_Rev—CGTCGTTTCAGTCTGAGATAATCT. Following PCR amplification and Sanger sequencing, data were visualized in Sequence Scanner software (Applied Biosystems, Thermo Fisher Scientific), and the peak ratio of the heterozygote position was given and compared to the peak ratio of the gDNA sequence of the same position for the same sample. The relative ratio was calculated and allelic imbalance was declared if the difference was >50%.
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5

Phylogenetic Analysis of Yeast ITS Sequences

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Quality of raw ITS region from yeast isolates and PCR-DGGE band sequencing data was checked with the help of Sequence Scanner software (Applied Bio systems, United States) and the data alignment and analysis were done with the help of SEQMANN software (DNASTAR, United States). After the data alignment, BLAST program was used for comparing DNA databases for sequence similarities available on the server3 (Altschul et al., 1990 (link); Zhao and Chu, 2014 (link)). Construction of a phylogenetic tree by the neighbor-joining method (Saitou and Nei, 1987 (link)) was performed using the CLUSTAL W program (Thompson et al., 1994 (link)). Shannon index of general diversity (H) and the richness of the microbial community as microbial diversity indices were determined by following the method of Oguntoyinbo et al. (2011) (link). Other graphical emphasis was done on igraph package in R Software (Csardi and Nepusz, 2006 ).
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6

Quantifying ITPR3 Promoter Methylation

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Genomic DNA was extracted from isolated hepatocytes using DNeasy Blood & Tissue Kit (QUIAGEN) according to the manufacturer’s instruction. A total of 1 μg of genomic DNA was treated with bisulfite using the EZ DNA Methylation Kit (Zymo Research), as reported [17 ], which converts unmethylated cytosines into uracil. The promoter region of ITPR3 was amplified by conventional PCR using the forward primer 5’-AAGCCGTCTAGAGAACGCCC-3’ and reverse primer 5’ CCACACACATGCAAATCCCG-3’. The efficiency of DNA amplification was monitored using a 1% agarose gel electrophoresis followed by capillary electrophoresis sequencing in an ABI3730 apparatus using POP7 polymer and BigDye v3.1. Sequencing data were analysed using Sequence Scanner Software (Applied Biosystems).
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7

Bioinformatics Analysis of SsSir2 Gene

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The nucleotide sequences were analyzed using Sequence Scanner software (Applied Biosystems/Life Technologies Corp., Carlsbad, CA, USA) and the BLAST network service of the National Center for Biotechnology Information (NCBI) (http://www.ncbi.nlm.nih.gov/blast). The open reading frame was found by the ORF Finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html). For the exact localization of the exon/intron boundaries the mRNA-to-genomic alignment program, Spidey (http://www.ncbi.nlm.nih.gov/IEB/Research/Ostell/Spidey/index.html), was used. The deduced amino acid sequence was analyzed with the Expert Protein Analysis System (http://www.expasy.org/) and the protein domain characteristics of SsSir2 were determined using the Simple Modular Architecture Research Tool (http://hits.isb-sib.ch/cgi-bin/PFSCAN). Isoelectric point and molecular weight prediction were carried out at (http://cn.expasy.org/tools/pi_tool.html). Multiple alignments of SsSir2 were performed with the ClustalW Multiple Alignment Program (http://www.ebi.ac.uk/clustalw/).
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8

Hepatocyte Isolation and DNA Methylation Analysis

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Mouse hepatocytes were isolated after hepatic ischemia followed by 3, 6 and 24 hours of reperfusion. Livers were perfused with Hanks A and then Hanks B medium supplemented with 0.05% collagenase (Roche Applied Science). The cells were filtrated in a 40-μm mesh nylon filter to collect primary hepatocytes in suspension. Genomic DNA extracted with DNeasy Blood & Tissue Kit (Qiagen) was treated with bisulfite using the EZ DNA Methylation Kit (Zymo Research), according to the manufacturer’s instruction. Mouse ITPR3 promoter region was amplified by conventional PCR using the forward primer 5’-AAGCCGTCTAGAGAACGCCC-3’ and reverse primer 5’ CCACACACATGCAAATCCCG-3’. Sequencing data were analyzed using Sequence Scanner Software (Applied Biosystems). The efficiency of DNA amplification was monitored using a 1% agarose gel electrophoresis and capillary electrophoresis sequencing in an ABI3730 apparatus with POP7 polymer and BigDye v3.1 (13 (link)).
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9

Mutation Screening and Annotation of RB1 Gene

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Sequencing results were visualized using Sequence Scanner Software (Applied Biosystems) to check for the data quality before further processing. Sequencing readouts that passed the initial QC step were assembled and compared to the RB1 reference gene sequence (GenBank Accession: L11910) using SeqScape Software (Applied Biosystems). Visual inspection of the alignment was done to identify the DNA variants in the RB1 gene of the patients for downstream analysis. In instances in which a possible small insertion or deletion was identified, Mutation Surveyor Software (Softgenetics, State College, PA) was used to deconvolute the overlapping signals to reveal the indel events. All variants identified as either single nucleotide variants (SNVs) or indels were reported according to the standard nomenclature for DNA sequence changes described by the Human Genome Variation Society (HVGS).
All variants identified were annotated against publicly available databases such as the Human Gene Mutation Database (HGMD) and RB1 Locus-Specific Databases (RB1-LSDB). The pathogenicity of the DNA sequence alterations were evaluated by using MutationTaster2 software. All RB1 mutations found were submitted to RB1-LSDB.
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10

Variant Analysis of Sequencing Data

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The quality of sequencing was checked through assessing the obtained chromatogram by Sequence Scanner software, version 1.0 (http://www.appliedbiosystems.com). The data were then analyzed by Mutation Surveyor software, version 3.03 (www.softgenetics.com/mutationSurveyor.html), for variation calling purposes. Pathogenesis potentiality of unclassified variants was investigated by Sift, Provean [17] (link), and PolyPhen-2 [18] (link) software. Segregation analysis was performed by sequencing all the family members for the responsible mutation.
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