Project description:We compared 3 small RNA library prep kits (CleanTag, NEXTflex, QIAseq) and two RNA extraction methods (miRNeasy and MagnaZol) on plasma. We report that library preparation has a significant effect upon the miRNA profile detected, with QIAseq libraries exhibiting the least sequencing bias of the three library kits. RNA extraction methods also contribute, to a lesser extent, to the miRNA profile detected, with MagnaZol RNA extraction increasing the percentage of reads mapping to miRNAs and the number of individual miRNAs detected.
Project description:Serum miRNAs are considered useful as non-invasive biomarkers for various diseases, but the optimal method for extracting RNA from serum is currently unknown. In this study, several RNA extraction kits were used to determine which kit is the optimal method. RNA was extracted from the serum of 8-week-old C57BL/6NJcl male mice according to the protocol of each RNA extraction kit. The yield of extracted RNA samples was calculated and electrophoretic patterns were evaluated by Agilent bioanalyzer. Expression patterns of the extracted RNA samples were confirmed by Agilent mouse miRNA microarray. The results showed significant differences in RNA yields in the miRNeasy serum/plasma advanced kit, and mirVana™ PARIS™ RNA and Native Protein Purification Kit compared to almost all other samples. Furthermore, two peaks were identified in the miRNeasy serum/plasma advanced kit using small RNA kit of Agilent bioanalyzer, one at 20-40 nucleotides (nt) and the other around 40-100 nt whereas the other reagents had a single peak. In addition, a high correlation was observed between the two RNA extraction kits in microarray. These results suggest that the above two kits are suitable for miRNA extraction from mouse serum.
Project description:A technical comparison of Agilent SureSelect Focussed Exome and TruSight One Mendeliome sequencing kits, by triplicate sequencing of the cell line DNA of NA12878, NA12891, NA12892 and NIST RM8395
Project description:We generated 42 human whole-exome sequencing data sets from fresh-frozen (FF) and FFPE samples. These samples include normal and tumor tissues from two different organs (liver and colon), that we extracted with three different FFPE extraction kits (QIAamp DNA FFPE Tissue kit and GeneRead DNA FFPE kit from Qiagen, Maxwell\textsuperscript{TM} RSC DNA FFPE Kit from Promega). Variant calling analysis shows a very high rate of concordance between matched FF / FFPE pairs and equivalent performance for the three kits we analyzed. We find a significant variation in the difference of total number of variants called between FF and FFPE samples for the three different FFPE DNA extraction kits. Coverage analysis shows that FFPE samples have less good indicators than FF samples, yet the coverage quality remains above accepted thresholds. We detect limited but significant variations in coverage indicator values between the three FFPE extraction kits. Globally, the GeneRead and QIAamp kits have better variant calling and coverage indicators than the Maxwell kit on the samples used in this study, although this kit performs better on some indicators and has advantages in terms of practical usage. Taken together, our results confirm the potential of FFPE samples analysis for clinical genomic studies, but also indicate that the choice of a FFPE DNA extraction kit should be done with careful testing and analysis beforehand in order to maximize the accuracy of the results.
Project description:Microbiome nucleic acid extraction kit model is a Named Entity Recognition (NER) model that identifies and annotates the name of the kits used in extracting microbiome nucleic acids in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with kits metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
Project description:In a cross-site study we evaluated the performance of ribosomal RNA removal kits from Illumina, Takara/Clontech, Kapa Biosystems, Lexogen, New England Biolabs and Qiagen on intact and degraded RNA samples. We found that all of the kits were capable of performing significant ribosomal depletion, though there were differences in their ease of use. All kits were able to remove ribosomal RNA to below 20% with intact RNA and identify ~14,000 protein coding genes from the Universal Human Reference RNA sample at >1FPKM. Analysis of differentially detected genes among kits suggested that transcript length may be a key factor in library production efficiency. These results provide a roadmap for labs on the strengths of each of these methods and how best to utilize them.