NEBNext Multiplex Oligos for Illumina (Unique Dual Index UMI Adaptors DNA Set 2) are built for more streamlined and informative NGS multiplexing, tracking the sequencing reaction at the individual molecule level and enabling bioinformatic removal of misassigned reads for optimal accuracy. These index adaptors contain a pair of unique dual indices (i5 and i7) and one UMI sequence, making the resulting library multiplex-ready, with or without PCR. This set includes 96 unique dual index UMI adaptors, packaged in a single-use 96-well plate with a pierceable foil seal. The universal primer mix is supplied in a separate vial.The NEBNext line of Multiplex Oligos can be used with NEBNext sample prep products or other standard Illumina-compatible library preparation protocols. In addition to this set, there are three other sets of NEBNext Unique Dual Index UMI Adaptors for DNA (NEB #E7395, #E7876, #E7878) for multiplexing of up to 384 samples; additional index adaptors with UMIs are available for RNA-seq (NEB #E7416). For multiplexing without UMIs, NEBNext offers several options for added flexibility, including unique dual index primers (NEB #6440, NEB #6442, NEB #E6444, NEB #E6446, and NEB #E6448), dual index primers (NEB #E7600 and NEB #E7780), and single primer sets (in 12- and 96-index formats; NEB #E7335, NEB #E7500, NEB #E7710, NEB #E7730, NEB #E6609), as well as an option compatible with EM-seq™ and bisulfite sequencing (NEB #E7140).For larger volume requirements, customized and/or bulk packaging is available through our Customized Solutions Team. Please contact us at custom@neb.com.NEBNext Multiplex Oligos for Illumina (Unique Dual Index UMI Adaptors DNA Set 2) enable both PCR-free and amplification-based workflows for DNA library preparation. Refer to the below diagram for the differences between the two options.Figure 1. NEBNext Multiplex Oligos for Illumina (Unique Dual Index UMI Adaptors DNA Set 2) WorkflowFigure 2. NEBNext Multiplex Oligos for Illumina (Unique Dual Index UMI Adaptors DNA Set 2) allow higher ligation efficiency.A. Libraries were prepared with 100, 250, and 500 ng inputs of human cell line NA19240 genomic DNA (Coriell Institute for Biomedical Research) and unique dual index adaptors from different suppliers using the NEBNext Ultra™ II FS DNA Library Prep Kit (NEB #E7805) without PCR amplification. The adaptors used were NEBNext Unique Dual Index UMI Adaptrs, xGen® Dual Index UMI Adapters (IDT®) and Nextflex® Unique Dual index Barcodes 1-96 (Bioo Scientific®). Two rounds of SPRIselect bead-based cleanup steps were performed post-ligation, and libraries were quantified by qPCR (NEBNext Library Quant Kit, NEB #E7630).B. 90 libraries were prepared with 100 ng NA19240 genomic DNA using the Ultra II FS DNA Library Prep Kit without PCR amplification in a 96-well plate. For the 90 libraries, 30 different adaptors each from NEB, IDT, and Bioo were used for ligation. Libraries were cleaned up and quantitated by qPCR.Figure 3. NEBNext Multiplex Oligos for Illumina (Unique Dual Index UMI Adaptors DNA Set 2) allow more-sensitive, low-frequency variant detection.AcroMetrix®Oncology Hotspot Control DNA (Thermo Scientific®) was used as a mutation DNA source (> 500 mutations with 5-35% allele frequency) and mixed with NA19240 genomic DNA at various ratios to generate a range of allele frequencies (5%-35%, 2.5%-17.5% and 1%-7%). Libraries were constructed using NEBNext Ultra II DNA Library Prep Kit (NEB #E7645) with NEBNext Unique Dual Index UMI Adaptors, and multiplex hybrid capture was performed on all samples using a customized panel for 152 genes from Twist Bioscience®. Libraries were sequenced on a NovaSeq®6000 (PE140), and reads were downsampled to 110 Million (Seqtk Sample) and mapped to GRCh38 with BWA MEM (0.7.17). Mapped reads were analyzed by MarkDuplicates (Picard 2.20.6) without utilizing UMI information or by building UMI consensus sequences (Fgbio 0.8.1). The final BAM files were used to call somatic variants with Strelka2 (2.9.10).A. The number of total and correct SNV calls increased when using UMI information for duplicate removal and consensus sequence-based error correction.B. The sensitivity of variant detection was improved with UMI consensus calling. The lower the allele frequency, the more benefit provided by UMI information in SNV detection.Figure 4. NEBNext Unique Dual Index UMI Adaptors DNA Set 2 provides consistent library yields 96 Libraries were each prepared with 50 ng input of human cell line NA19240 genomic DNA (Coriell Institute for Biomedical Research) and the NEBNext Unique Dual Index UMI Adaptors DNA Set 2 using the NEBNext Ultra II FS PCR-free DNA Library Prep Kit (NEB #E6177) in a 96 well plate. Library cleanup was followed by qPCR quantification. Library concentrations ranged from 7.3 nM to 3.4 nM with a 2.1-fold difference across all 96 adaptors.Figure 5. NEBNext Unique Dual Index UMI Adaptors DNA Set 2 provides consistent clustering efficiency on MiSeq® and NovaSeq 6000Fig Desc: 96 libraries prepared using the NEBnext Unique Dual Index UMI Adaptors DNA Set 2 and the NEBNext Ultra II FS PCR-free DNA Library Prep Kit (NEB #E6177) were pooled at equimolar concentrations and sequenced on the Illumina MiSeq and NovaSeq 6000 instruments. The total number of reads from all libraries were summed, and the fraction of the total reads contributed by each library was determined (expected faction per library = 1.04%). All 96 libraries clustered efficiently and were represented at approximately the expected frequency on both platforms.Figure 6. All libraries prepared with 384 NEBNext Unique Dual Index UMI Adaptors cluster evenly on the Illumina NovaSeq 6000 384 libraries prepared using the NEBNext Unique Dual Index UMI Adaptors DNA Sets 1-4 and the NEBNext Ultra II FS PCR-free Library Prep Kit (NEB #E6177) were pooled at equimolar concentrations and sequenced on the Illumina NovaSeq 6000 instrument. The total number of reads from all libraries was summed, and the fraction of the total reads contributed by each library was determined (expected fraction per library = 0.26%). All 384 libraries clustered efficiently and were represented at approximately the expected frequency.
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