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Nebnext unique dual index primers

Manufactured by New England Biolabs

NEBNext Unique Dual Index Primers are a set of index primers designed for use with the NEBNext library preparation kits. These primers enable the addition of unique dual indices to both ends of DNA fragments, allowing for improved sample identification and error correction during sequencing.

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2 protocols using nebnext unique dual index primers

1

EM-seq Library Preparation for DNA Methylation Analysis

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EM-seq library preparation was performed using VAHTS Universal DNA library Prep Kit for Illumina V3 (Vazyme) and EM-seq Conversion Module (New England BioLabs) according to the manufacturer’s instruction with minor modifications. In brief, mechanically fragmented methylation control DNA (CpG methylated pUC19 and unmethylated λ DNA) alone or combined with cell-free DNA fragments was treated with VAHTS Universal DNA library Prep Kit (New England BioLabs) for end-repair, A-tailing, and ligation of EM-seq adaptor (New England BioLabs). The ligated samples were methyl-converted with EM-seq Conversion Module (New England BioLabs) per the manufacturer’s protocol. Methyl-converted DNA was purified and amplified using NEBNext Unique Dual Index Primers (New England BioLabs) and KAPA HiFi HotStart Uracil + ReadyMix (KAPA biosystems).
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2

Transcriptome Profiling of FOXM1 and CENP-F in RPE1 Cells

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Total RNA was extracted from cells treated as outlined above. The NEBNext® Poly(A) mRNA Magnetic Isolation Module (New England Biolabs) was used as per manufacturer protocol to isolate mRNA for input into the NEBNext® Ultra II RNA Library Prep Kit (New England Biolabs) using NEBNext Unique Dual Index Primers (New England Biolabs). Library preparation was conducted as per manufacturer protocol. Libraries were quality checked using Agilent D1000 TapeStation kit and Qubit Flourometer. FLAG-FOXM1-hTERT RPE1 experimental samples were sequenced on an Illumina NextSeq (Shilatifard lab) to generate 2×75 bp paired-end reads and FOXM1 and CENP-F siRNA experimental samples were sequenced on an Illumina HiSeq (Admera Health) to generate 2×150 bp paired-end reads. We obtained 40M reads per sample. Data analysis including read demultiplexing, alignment and differential expression were done using the Ceto pipeline (https://github.com/ebartom/NGSbartom) with standard parameters. Gene Set Enrichment Analysis (GSEA) of differentially expressed genes was performed using the Molecular Signature DataBase from the Broad Institute[52 (link), 53 ]. TCGA Pancancer Atlas datasets were downloaded from cBioPortal (https://www.cbioportal.org) as mRNA expression z-scores relative to normal samples (log RNA Seq V2 RSEM). Downstream analyses were conducted using R.
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