Participants swirled 10 mL of water in their mouth for 40 s and the solution was collected in conical tubes. Samples were logged in student classrooms by a study coordinator, and sent to the University of New Mexico for DNA extraction with Qiagen DNA kits (Qiagen, Inc., Valencia, CA, U.S.A.) and Sanger sequencing of MC1R. DNA was shipped to the Molecular Epidemiology Laboratory at Memorial Sloan-Kettering for additional genotyping, as detailed below.
Dna kits
Manufactured by Qiagen
Sourced in United States, Germany
DNA kits are a collection of laboratory equipment and reagents designed to facilitate the extraction, purification, and analysis of DNA samples. These kits provide a standardized and efficient process for isolating DNA from various biological sources, such as cells, tissues, or environmental samples. The core function of DNA kits is to enable researchers and scientists to obtain high-quality DNA samples for downstream applications, such as molecular biology studies, genetic analysis, and diagnostic testing.
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Lab products found in correlation
7 protocols using dna kits
1
Genetic Analysis of Oral Samples
2
Oral Swish DNA Extraction and Sequencing
3
Knockdown of PTK7 Using shRNA
4
Wastewater Microbial Community Analysis
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Fifty milliliters of wastewater was concentrated to 2-mL samples for genomic extraction by centrifugation at 8000 rpm. The genomic DNA of the microbial community from 2-mL samples was extracted using DNA Kits (Qiagen, Germany). Extracted DNA was quantified by a 200 microplate reader (Tecan, Switzerland). The V3 region of bacterial 16S rDNA was amplified using the universal primers 338F and 534R, with a GC clamp of 39 bases added to the 5-terminus. PCR amplification was performed in 50 µL reaction mixtures according to the methods described in previous study (Zhao et al. 2012 (link)). Denaturant Gradient Gel Electrophoresis (DGGE) was carried out to further analyze diversity of the amplified fragments of the 16S rDNA bacterial gene, and PCR products were placed under denaturing conditions as described in previous study (Zhao et al. 2012 (link)). The gels were run with 40 µL and were silver stained after (DuBois et al. 1956 (link); Volker et al. 1979 (link)). Targeted bands of the 16S rDNA corresponding to possible different species were further isolated and purified using purification kits (Watson Biotechnologies, China) and cloned into E. coli DH5α. Three clones were randomly selected from each band, followed by PCR amplification of the cloned inserts (Zhao et al. 2012 (link)). Sequencing was performed as described in previous research (Xu et al. 2011 (link)).
5
FTO Gene Variant Genotyping
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DNA was extracted from EDTA-containing whole blood aliquots using DNA kits (Qiagen, Hilden, Germany). The single nucleotide polymorphism rs9939609 near the FTO gene was genotyped by allele-specific PCR with molecular beacons (Prevention Genetics, Marshfield, WI). Quality-control samples (10%) were typed in duplicate with >99% agreement.
6
Whole-Genome Sequencing of Blood Samples
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Genomic DNA was collected and extracted from peripheral whole blood samples using Qiagen DNA kits. The genomic DNA met the sequencing requirements of the purity (optical density 260/280 > 1.8) and concentration (50 ng/ml) of each sample. Whole-genome sequencing was conducted by Annoroad Gene Technology by using Illumina/TruSeq Nano DNA HT Library Preparation Kit for capture and Illumina sequencing platforms for data generation (150-bp paired-end, 300 cycles). Sequencing was performed with 150-bp paired-end reads on the Illumina NovaSeq 6000 sequencing platform. The mean coverage was 40×.
7
Transcriptomic and Chromatin Profiling of Cold Stress
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The detailed experimental procedure is provided in the supplementary information file (Supporting Information Method S1). Briefly, leaf tissues were harvested from three weeks old Col-0 plants grown at 22°C and cold treated (4°C) for 24 h. Total RNA and nucleosome bound genomic DNA (gDNA) were extracted for Illumina paired-end sequencing using RNA extraction and Qiagen DNA kits, respectively. The raw reads generated from RNA-Seq and MNase-Seq experiments were quality checked using Trimmomatic (Bolger et al., 2014) . The high quality reads from RNA-Seq experiment were used to quantify the transcripts expression using Salmon v0.82 (Patro et al., 2017) and AtRTD2-QUASI (Zhang et al., 2017) as reference. Differential Expressed Genes (DEGs) and differential alternatively spliced (DAS) genes were identified using 3D-RNA-Seq pipeline as described previously by (Calixto et al., 2018; Guo et al., 2019) . Gene functional enrichment analysis was performed using DAVID v6.8 (Huang et al., 2009a,b) . The gene ontology (GO) terms were assigned to DEGs and DAS genes with FDR ≤0.05. AS events, AS event inclusion level (Percent Spliced In -PSI indicates how efficiently sequences of interest are spliced into transcripts) and the difference in this inclusion ( PSI) between Col-0 grown at Δ
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