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Genescan 3

Manufactured by Thermo Fisher Scientific
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The Genescan 3.7 software is a data analysis tool designed for use with Thermo Fisher Scientific's genetic analysis instruments. The software provides essential functions for processing and analyzing genetic data generated by these instruments.

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24 protocols using genescan 3

1

Quantitative DNA Methylation Analysis

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The purified DNA was subjected to DNA sequencing on the automated sequencer (ABI PRISM 3100 genetic analyzer) using Genescan 3.7 software (Applied Biosystems). Products were sequenced from both directions to validate each other. The methylation status at each CpG site was read out from a comparison between the sequences of the unconverted DNA, the converted Watson strand, and the converted Crick strand. The methylation percentage was quantitated from the Sanger sequencing results. Correlations between methylation patterns in different generations were analyzed by the spearman's rank correlation coefficient. The significance levels were set at 0.05 for all tests. The SAS statistical package 9.3 (SAS Institute, Inc., Cary, North Carolina) was used for all data managements and analyses.
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2

Colorectal Cancer MSI Profiling Protocol

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Colorectal cancer DNA was investigated for MSI using the 5-markers panel (two mononucleotide repeats – BAT25 and BAT26- and three dinucleotide repeats –D2S123, D5S346, D17S250) recommended by international guidelines [31 (link)].
Microsatellite sequences were PCR amplified from tumour and matched normal DNA using 5′- fluorochrome labelled oligonucleotide primer pairs [32 (link)]. PCR products were analyzed by capillary gel electrophoresis (ABI 310 Genetic Analyzer-Applied Biosystems) followed by automated allele sizing using the GeneScan 3.7 software (Applied Biosystems, Foster City, CA). PCR primers and conditions are available from the corresponding Author. Tumours were classified as highly unstable (MSI-H) when at least two of 5 markers were positive, or if instability was found in at least 40% of the analyzed microsatellite markers [33 (link)]. CAT25 microsatellite was also studied in all patients [34 (link)].
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3

Genotyping of ESR1 and ESR2 Polymorphisms

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Six polymorphisms in ESR1 (rs9340799, rs2234693, and rs3798759) and ESR2 (rs2077647, rs4986938, and rs1256049) genes were selected in the present study according to Tang et al [19 (link)] Peripheral blood samples were obtained from all subjects and analyzed the distributions of ESR1 and ESR2 genes polymorphisms in a Chinese Han population. Genomic DNA was extracted by standard phenol–chloroform method. Genotyping of the ESR1 and ESR2 polymorphisms was determined by the SNaPshot method. The GeneAmp 9700 polymerase chain reaction thermocycler (Applied Biosystems, Foster City, CA) was used for polymerase chain reaction. The 3730XL genetic analyzer (Applied Biosystems, Foster City, CA) was used for sequencing. GeneScan 3.7 Software (Applied Biosystems, Foster City, CA) was used for data analysis.
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4

PCR Amplicon Purification and Restriction Digestion

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PCR amplicons were purified with TIANgel Midi Purification Kit (Tiangen Biotech, China) according to the manufacturer's protocol. Subsequently, the purified amplicons were subjected to restriction endonuclease digestion. Briefly, PCR products were digested with HhaI (GCG^C, Fermentas) at 37 °C for 7 h to produce terminal restriction fragments (TRFs). The digestion reactions (20 μL) contained 4 μL of PCR products (0.8–1.0 μg), 1 μL of 10× buffer, 1 μL of the endonuclease (10 U) and 14 μL of ddH2O. The digestion products were desalted by precipitation with two volumes of cold ethanol and centrifuged at 16,000 × g for 15 min at 4 °C. The DNA pellets were washed twice with 70% cold ethanol and resuspended in 20 μL of sterilized ultrapure water.
Prior to capillary electrophoresis, 2 μL of digestion products was mixed with 12 μL of formamide and 0.5 μL of the GeneScan ROX 1000 size standard (Applied Biosystems, USA). The mixtures were denatured at 95 °C for 4 min and then placed on ice for 5 min. The capillary electrophoresis was performed on an ABI 3730xl Genetic Analyzer (Applied Biosystems). The fluorescently labeled 5′-terminal restriction fragments were detected and analyzed by the GeneScan 3.7 software (Applied Biosystems).
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5

Genotyping of MC2R Polymorphisms

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SNP selection was performed using Haploview software (https://sourceforge.net/projects/haploview/) choosing only SNPs
with a minor allele frequency higher than 0.05 and r2≥0.8 based on
the HapMap database (CHB, Chinese Han population) (http://coriell.org/1/NHGRI/Collections/HapMap-Collections/HapMap-Project).
After screening, seven tag SNPs (rs16941303, rs16941314, rs2186944, rs28926188,
rs7230126, rs948322, and rs948331) in the MC2R gene were selected. Genomic DNA
was extracted from peripheral blood leukocytes using the standard
phenol-chloroform method. Multiplex polymerase chain reaction (PCR) assays were
performed on a GeneAmp 9700 PCR thermocycler (Applied Biosystems, Foster City,
California, USA). The reactions were performed in a total volume of 10 µL,
including 1 µL of genomic DNA, 1 µL of primer mix (1 µM of each primer), and 1 U
of Hotstar Taq polymerase (Qiagen Inc., Valencia, CA, USA). The cycling
parameters were as follows: 95°C for 2 minutes; 10 cycles at 95°C for 20 s, 65°C
for 40 s, and 72° for 30 s; 25 cycles at 95°C for 20 s, 55°C for 30 s, and 72°C
for 1 minute; then the samples were held at 4°C. The genotypes of the MC2R
polymorphisms were determined by Sanger sequencing. A 3730XL genetic analyzer
(Applied Biosystems) was used for sequencing. GeneScan ™3.7 software (Applied
Biosystems) was used for data analysis.
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6

Microsatellite Instability Analysis Using BAT26

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Microsatellite instability analysis was performed using the BAT26 primer set [5’-TGACTACTTTTGACTTCAGCC-3’ sense and 5’-AACCATTCAACATTTTTAACCC-3’ antisense]. The sense primer was labeled with 6-FAM. PCR was performed in a final volume of 25 μL containing 1 × PCR buffer, 3.0 mmol/L MgCl2, 0.2 μmol/L dNTPs, 0.4 μmol/L of each primer, 2 U of Platinum Taq DNA Polymerase (Invitrogen, Waltham, MA, USA) and 50 ng of DNA. The thermal conditions were 94 °C/5 min followed by 40 cycles [94 °C/1 min, 50 °C/1 min and 72 °C/1 min] and a final extension at 72 °C/7 min. The dye-labeled PCR products were analyzed with a ABI PRISM 3130 Genetic Analyzer using Genescan 3.7 software (Applied Biosystems, Waltham, MA, USA) according to Hoang JM et al. (1997) [36 (link),55 (link)].
After electrophoresis, gels were dried at 80 °C and exposed to radiograph film. The band pattern was compared between tumorous and non-tumorous tissues for each patient. To avoid PCR artifacts, all positive tests were duplicated. Only cases with microsatellite alterations at 3 or more loci [≥30% frequency], only in neoplastic tissue, were ascribed to microsatellite instability.
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7

Methanogenic Community Dynamics in Rice Paddy Soil

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Terminal restriction fragment length polymorphism (T-RFLP) analysis was carried out to investigate the changes of methanogenic community in rice paddy soil [25] –[27] (link). In this study, T-RFLP patterns were compared in control and cattle and swine manure-applied soil at 40 Mg ha−1 during rice cultivation. The primers used for the PCR amplification were described above, except that the forward primer was labeled with 6-carboxyfluorescein (6-FAM). The PCR product was purified by a PCR purification kit (Qiagen, Valencia, CA) and then digested by restriction enzyme Sau96I [G’GNCC] (New England Biolabs, NEB, Beverly, MA) at 37°C for 3 hr. The terminal restriction fragments (T-RF) were purified with SigmaSpinTM Post-Reaction Clean-Up Columns (Sigma, St. Louis, MO, USA) and analyzed by using an ABI 3730 capillary sequencer (Applied Biosystems, Foster City, CA, USA). The T-RFLP pattern was analyzed with Genescan 3.7 software (Applied Biosystems) using peak height integration of the different T-RFs. The percent fluorescence intensity for single T-RF was calculated by using total fluorescence intensity of T-RFs. The diversity indices of methanogen community were assessed by Shannon diversity index (H’) and Shannon evenness (E), which were calculated based on T-RFLP data according to the method of Egert et al. [28] (link).
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8

Microsatellite Instability Analysis using BAT25 and BAT26

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Microsatellite instability (MSI) analysis was performed using the BAT25 and the BAT26 primer set.18 The sense primers were labeled with FAM. Polymerase chain reaction (PCR) was performed, and dye‐labeled PCR products were analyzed with an ABI PRISM 3100 Genetic Analyzer using Genescan 3.7 software (Applied Biosystems, Darmstadt, Germany). A total of 0.5 µL PCR product was mixed with 9.25 µL highly deionized formamide and 0.25 µL DNA Size Standard LIZ 500 (–250; Applied Biosystems). This mixture was denatured for 3 min at 95°C, immediately placed on ice, and separated using an ABI 3130 Genetic Analyzer. Results were analyzed using GeneMapper software (Applied Biosystems). Both tumor and normal tissue samples were analyzed. Samples were divided into two groups: those with one or more of the two markers displaying MSI and those with no instability (microsatellite stable).
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9

Microsatellite Genotyping and Genetic Diversity Analysis

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Genotypes of microsatellite loci were analyzed using GeneScan 3.7 software (Applied Biosystems, Foster, California, USA). The number of alleles and the mean heterozygosity within the Xinjiang stock was analyzed using Popgene software (Version 3.3; May et al., 1995) . General genetic structure indexes, including the observation and effective numbers of alleles, Shannon information index, observed and effective heterozygosity, and average polymorphism information content (PIC), were calculated for genetic variation analysis within the hamster stock. In addition, the genetic distance between the Xinjiang stock and wild grey hamsters was measured according to the method of Nei's standard distance (Nei, 1972) and calculated using Popgene 3.3 software.
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10

Microsatellite-Based Sheep Clone Identification

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This was confirmed using 21 microsatellite markers including those recommended by the International Society of Animal Genetics (Supplementary Table 1). Sheep blood samples and cell lines were submitted for PCR and fragment analysis to an independent genetic Company (VHL Genetics, The Netherlands). PCR amplification and fragment analysis was conducted in an ABI PRISM 3130XL automatic sequencer (Applied Biosystems), and the amplified fragments were classified using the GENESCAN 3.7 software (Applied Biosystems). We undertook a blinded pairing of cloned sheep and parental cells, and all clones matched their cells of origin for all 21 markers (CERVUS v.3.0 software70 (link)).
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