The largest database of trusted experimental protocols
Sourced in United States

The SNPlex is a high-throughput genotyping system designed for single nucleotide polymorphism (SNP) analysis. It enables the simultaneous analysis of multiple SNPs in a single reaction, providing a comprehensive and efficient method for genetic research and analysis.

Automatically generated - may contain errors

14 protocols using snplex

1

DNA Genotyping Using SNPlex Assay

Check if the same lab product or an alternative is used in the 5 most similar protocols
Venous blood samples were collected in tubes containing EDTA. DNA was isolated by standard commercial procedures (Chemagic Magnetic Separator from Chemagen, Baesweiler, Germany). DNA was quantified and diluted to a final concentration of 100 ng/µL.
SNPlex (Applied Biosystems, Foster City, California, USA) was used for genotyping, following the manufacturer’s guidelines. SNPlex is a genotyping system based on oligonucleotide ligation assay/PCR technology that analyses 48 SNPs. Those SNPs were chosen as explained above.
+ Open protocol
+ Expand
2

SNP Genotyping for Transplant Pharmacogenomics

Check if the same lab product or an alternative is used in the 5 most similar protocols
DNA was isolated from peripheral blood collected from the donor and recipient prior to transplantation. Lymphocytes were isolated by centrifugation after red blood cell lysis. Isolated DNA was quantified at 260 nm absorbance. Single nucleotide polymorphisms were genotyped using a customized Affymetrix GeneChip and additional SNPs were measured using SNPlex (Applied Biosystems Inc, Foster City, California, USA) and Sequenom (Sequenom, Inc, San Diego, CA, USA) systems as previously described 19 (link). Candidate polymorphisms (n=88) measured in both the donor and recipient potentially relevant to mycophenolate metabolism, transport and mechanism of action were selected for this analysis (Table S1).
+ Open protocol
+ Expand
3

Genetic Association Analysis of Estrogen and Inflammation Pathways

Check if the same lab product or an alternative is used in the 5 most similar protocols
We selected 91 SNPs to include in the analyses based on our previous study [14 (link)] and other published studies that identified genes related to estrogen and inflammation pathways [[12] (link), [13] , [14] (link),[21] (link), [22] , [23] (link), [24] , [25] (link), [26] , [27] (link), [28] (link), [29] (link), [30] , [31] (link), [32] (link), [33] , [34] , [35] (link), [36] (link), [37] (link)]. Participant DNA was extracted from buffy coat specimens using the Qiagen QiaAmp 96 DNA Blood Kit (Valencia, CA). SNPs were genotyped using the SNPlex or the OpenArray platform from Applied Biosystems (Foster City, CA).
+ Open protocol
+ Expand
4

Nuclear SNP Genotyping of Grapevine

Check if the same lab product or an alternative is used in the 5 most similar protocols
DNA from grapevines was genotyped with 261 nuclear SNPs obtained by Lijavetzky et al. (2007) (link) and Cabezas et al. (2011) (link) (Supplementary Table 2). SNP genotyping was performed using SNPlex (Applied Biosystems, Waltham, MA USA) or Veracode (Illumina, San Diego, CA, USA) technologies as described in Zinelabidine et al. (2012 (link); 2015) . Genotyping services were provided in Spain by the National Genotyping Center1.
+ Open protocol
+ Expand
5

Genotyping of IL18RAP SNPs

Check if the same lab product or an alternative is used in the 5 most similar protocols
Venous blood samples were collected in tubes containing EDTA in order to obtain genomic DNA using the Chemagic system (Chemagen, Baesweiler, Germany). DNA was quantified and diluted to a final concentration of 100 ng ⁄µL. The IL18RAP single nuclear polymorphisms (SNPs) were selected for genotyping based on the conjunction of several parameters selected in the SYSNPs web tool25 (link): heterozygosity in a Caucasian population (>10% for the minor allele frequency), position and spacing along the gene and a possible functional effect (http://www.ensembl.org/index.html). Five SNPs in the IL18RAP gene were selected (table 2) and were genotyped using an oligonucleotide ligation assay (SNPlex; Applied Biosystems, Foster City, California, USA), according to the manufacturer’s guidelines. The genomic information about the selected SNPs was obtained from Ensembl release 89 and the single nucleotide polymorphism database (dbSNP) build 149.
+ Open protocol
+ Expand
6

Genetic Associations of UAE

Check if the same lab product or an alternative is used in the 5 most similar protocols
One thousand two hundred and fifty one single nucleotide polymorphisms (SNP) potentially associated to UAE were selected based on a bibliography search and the SYSNPS program (www.sysnps.org) [19] (link). SYSNPs use the following databases and software versions: Ensembl 61, HapMap release 28 and Haploview 4.2. Minor allele frequency (MAF) of all the SNPs in the selected gene was analysed in CEPH (Utah residents with Northern and Western European Ancestry) population. Organizing selected polymorphisms into LD bins with pairwise r2>0.8, SNPs with MAF>0.1, located in all their functional positions (upstream and downstream, 5′ and 3′-untranslated region, exons); and previous positive findings in association studies were selected. These SNPs include genes involved in lipid metabolism, oxidative stress, mitochondrial respiratory chain, renin-angiotensin system and other biological processes as being systems previously associated to UAE. Genotyping was carried out using an oligo-ligation assay (SNPlex, Applied Biosystems, Foster City, California, USA) following the manufacturer’s instructions.
+ Open protocol
+ Expand
7

Genetic Factors in Acupuncture Response

Check if the same lab product or an alternative is used in the 5 most similar protocols
Based on existing literature of polymorphisms in genes that have been
found to play a role in the mechanism of acupuncture, we selected 18 candidate
SNPs in genes involved in neuro-transmission,14 (link)–18 thermo-regulation,19 (link),20 and
inflammation21 (link),22 (link) pathways. Participant DNA was
extracted from buffy coat specimens using the Qiagen QiaAmp 96 DNA Blood Kit
(Valencia, CA). SNPs were genotyped using the SNPlex or the OpenArray platform
from Applied Biosystems (Foster City, CA). Given the small sample size in each
arm, we selected SNPs that had at least a greater than 15% difference in
treatment responders (the primary outcome) between the allele groups rather than
relying on a p-value.
+ Open protocol
+ Expand
8

Genetic Variants and Diabetes Pathways

Check if the same lab product or an alternative is used in the 5 most similar protocols
We isolated DNA from peripheral blood cells using Chemagic System (Chemagen), and quantified it with PicoGreen dsDNA Quantification Reagent (Invitrogen, Carlsbad, CA, USA). DNA was diluted to a final concentration of 100 ng/µl. We used bibliography searches and the SYSNPS program [24] (link), based on public data sources including Ensembl and HapMap (GRCh36), to identify 597 single nucleotide polymorphisms (SNPs) from 155 candidate genes implicated in diabetes metabolic pathways such as inflammation, redox homeostasis and response to insulin or gluconeogenesis. We included SNPs previously reported to be related to health outcomes in humans or to have functional implications.
The SNPs were genotyped using an oligo-ligation-assay (SNPlex, Applied Biosystems, Foster City) following the manufacturer's guidelines. The polymorphisms nomenclature was based in Den Dunnen JT et al. recommendations. The mean genotyping coverage across all genotyped SNPs was 95%. We excluded 42 SNPs because of a genotyping coverage <90%, 59 SNPs because they had less than 3 genotypes and 41 SNPs because they did not meet a Hardy-Weinberg equilibrium p-value <0.01. 101 SNPs were further excluded because they had a MAF<0.05 or a minor genotype frequency <20 in the study population. The final number of SNPs included in gene-environment interaction analyses was 354.
+ Open protocol
+ Expand
9

Genotyping of Toll-like Receptor Genes

Check if the same lab product or an alternative is used in the 5 most similar protocols
SNPbrowser version 3.5 was used for SNP selection and for SNPlex™ (Applied Biosystems) assay pool design. The SNPs were located in six loci that contain the genes TLR1-TLR8 and TLR10 (Table 1). The SNPs were selected to evenly cover each locus and non-synonymous SNPs were always preferred. Genomic DNA was extracted from 9 ml blood samples and Applied Biosystems SNPlex™ method was used for genotyping (Tobler et al., 2005 (link)).
+ Open protocol
+ Expand
10

Genotyping of 'Royal Gala' × 'Braeburn' Segregating Population

Check if the same lab product or an alternative is used in the 5 most similar protocols
Genomic DNA was extracted from young leaves from the parents and the 599 seedlings of the ‘Royal Gala’ × ‘Braeburn’ segregating population using the Qiagen Plant DNeasy Plant Mini kit (Qiagen, Hilden, Germany) following the manufacturer's protocol. Ten nanograms of genomic DNA from each sample were then amplified by whole-genome amplification23 (link) using the GenomiPhi V2 DNA Amplification Kit (GE Healthcare, Little Chalfont, Buckinghamshire, UK). A subset of the 951 SNP markers used for anchoring the ‘Golden Delicious’ genome sequence to a genetic map was selected for map construction, on the basis of even distribution along the ‘Golden Delicious’ pseudo-chromosomes. SNPlex (Applied Biosystems Inc., Foster City, CA, USA) genotyping assays were carried out using 1 µL (from 45 to 225 ng) of WGA-DNA according to the manufacturer's protocol. Samples were run on a 3730xl DNA Analyzer (Applied Biosystems Inc.) and data were analysed using the Gene Mapper v.4.0 software (Applied Biosystems Inc.). Genotype analysis was performed according to the SNPlex_Rules_3730 method, in accordance with the manufacturer's default settings.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!