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Ampliseq library plus

Manufactured by Illumina
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The AmpliSeq Library PLUS is a next-generation sequencing library preparation solution designed for targeted sequencing applications. It enables efficient and accurate amplification of genomic regions of interest, providing a streamlined workflow for generating sequencing-ready libraries.

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9 protocols using ampliseq library plus

1

Targeted Sequencing of DLBCL Genes

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Targeted high-throughput sequencing was applied for somatic alterations. A total of 57 genes were selected in this study (listed in Table S2). Most genes were frequently altered in DLBCL, according to data from several previously published large-scale DLBCL group studies (32 (link)–34 (link)). Using genome build hg19/GRCh37 as a reference, a sequencing panel covering the coding sequences within five intronic base pairs around exons in 57 genes was designed online (Designstudio Sequencing, Illumina, San Diego, USA). Sequencing libraries were prepared with AmpliSeq™ Library PLUS for Illumina, using 20 ng of input genomic DNA per sample. Library sequencing was performed to 2000X coverage on a NextSeq™ 550 system using an Illumina NextSeq™ 500/550 High Output v2 Kit (Illumina, San Diego, USA). The alignment and variant calling were performed using a DNA Amplicon workflow with default parameters on BaseSpace Sequence Hub (Illumina). The generated variants were further annotated using ANNOVAR (35 (link)). Further details are described in the Supplementary Methods.
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2

AmpliSeq Library Preparation for MiSeq Sequencing

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The NGS libraries were prepared according to the AmpliSeq for Illumina On-Demand, Custom and Community Panels Reference Guide Protocol, DNA Panels Standard Workflow Procedure for Three Primer Pools, using reagents from the AmpliSeq™ Library PLUS for Illumina®. The concentration of the input DNA was measured using the Qubit dsDNA BR Assay and the concentration of the constructed libraries was assessed using the Qubit dsDNA HS Assay on the Qubit 2.0 Fluorometer (Thermo Fisher Scientific) following the manufacturer’s protocol. The quality of the constructed libraries was assessed using the DNA Hi Sens Lab Chip (PerkinElmer, Waltham, USA) according to the DNA High Sensitivity Assay User Guide for LabChip GX Touch/GXII Touch Standard Sample Workflow. Libraries were denatured and diluted according to the MiSeq System Denature and Dilute Libraries Guide Protocol A: Standard Normalization Method for MiSeq Reagent Kit v2, with a PhiX library used as a sequencing control. Pooled sequencing of 6 samples per run was conducted on an Illumina Miseq using the MiSeq Reagent Micro Kit v2 (2 × 150 base pair (bp), paired end) to a minimum coverage depth of 5000 × according to the manufacturer’s protocol.
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3

Exonic Sequencing of IDH1 and IDH2 in FFPE Tumor Samples

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DNA from 4–8 sections (4–5 μm each) of formalin-fixed paraffin-embedded (FFPE) tumor samples (which were selected by a pathologist as described above) was extracted using the “QIAamp DNA FFPE GeneRead Kit” (Catalogue Reference: 180134; Qiagen, Germantown, MD, USA). Subsequently, the whole exonic region of IDH1 and IDH2 genes was then sequenced using an Illumina MiSeq device (version 3.1.0.13) following the manufacturer’s instructions, as previously described [39 (link)]. In brief, after DNA quantification from FFPE tumor samples using Qubit 1× dsDNA HS Assay Kit (Catalogue Reference: Q33230; Thermo Fisher Scientific, Waltham, MA, USA), 50–150 ng was used for mutational analysis by AmpliSeq methodology (Illumina, Inc., San Diego, CA, USA). AmpliSeq Library PLUS was used for library preparation (Catalogue Reference: 20019101; Illumina, Inc., USA), followed by the amplification of target regions and second amplification of libraries, which were diluted and denatured for bridge clonal amplification and paired-end sequencing using MiSeq Reagent kit v2 (300-cycles) (Catalogue Reference: MS-102-2002; Illumina, Inc., USA) in a MiSeq instrument (Illumina, Inc., USA). Variant calling files annotation, and the identification and classification of detected genetic variants were performed with the VariantStudio software v3.0 (Illumina, Inc., USA).
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4

Targeted Cancer Mutation Analysis by NGS

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DNA libraries were generated by PCR using AmpliSeq for Illumina Cancer HotSpot Panel v2 (Illimina, USA) in 59 samples. AmpliSeq for Illumina Cancer HotSpot Panel v2 targets 2800 mutations in 50 cancer-related genes, including the genes of interest—TP53, ATM, PIK3CA and EGFR—in our study. gDNA (20 ng) was used to amplify the panel range of genes. The libraries were amplified using AmpliSeq Library PLUS for Illumina (Illumina, USA) according to manufacturer’s instructions. Each library was quantified using an Agilent DNA 100 kit with an Agilent 2100 Bioanalyzer (Agilent Technologies, USA). Sequencing was performed using a MiSeq NGS system (Illumina, USA). The MiSeq sequence data was processed and analyzed using BaseSpace Sequence Hub. Of the 59 samples, we excluded one sample because it was impossible to analyze due to an error. In comparison to the UCSC hg19 reference genome, sequences with amino acid changes were identified as somatic mutations.
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5

Thyroid Differentiation Score Analysis

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TDS was calculated in all PTCs, 4 FTCs, 2 NIFTPs, 2 FAs, 2 HAs, 4 PDTC/ATC and, as controls, in 2 pools, each obtained by mixing 20 normal thyroid tissues (10 from women and 10 from men). A custom AmpliSeq RNA expression panel (Illumina) was designed by the GenomeStudio software to detect the expression of 16 thyroid function genes (DIO1, DIO2, DUOX1, DUOX2, FOXE1, GLIS3, NKX21, PAX8, SLC26A4, SLC5A5, SLC5A8, TG, THRA, THRB, TSHR and TPO) and of the housekeeping gene TBP. mRNA libraries were constructed with an input of 20 ng of RNA using the AmpliSeq Library Plus (Illumina), according to the manufacturer’s recommendations. Constructed libraries were sequenced by MiSeq Reagent kit v.3 on an Illumina MiSeq sequencer. Basic data analysis was performed according to the default parameters of the Illumina’s MiSeq Reporter software. The mRNA expression level of the 16 thyroid function genes was used to derive the Thyroid Differentiation Score (TDS). In particular, reads were normalized through the DESeq2 R package [29 (link)] and transformed with log2(gene)/log2TBP. The TDS for each sample was obtained by extracting the mean of the 16 genes analyzed [4 (link)].
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6

RNAseq-based Classification Model for Sarcoma

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Since we found that analysis and clinical interpretation were more straightforward when using RNAseq, we built a classification model with this data using caret package (https://github.com/topepo/caret, accessed on 31 December 2021). For this purpose, our sample cohort was randomly split, keeping balanced class distributions into a training (75% of samples) and test set (25% of samples). We used the Adaboost algorithm on DEGs cpm to perform a prior selection of predictor genes.
Validation of the model was next performed by re-sequencing LM (n = 44) and LMS (n = 34) samples, adding a new set of 8 LM and 10 LMS samples. Briefly, RNA from 96 FFPE tissue sections was used to prepare libraries with a PCR/amplicon-based workflow (AmpliSeq Library Plus, Illumina, San Diego, CA, USA).
Normalized coverage values were introduced in caret using the gradient boosting algorithm [34 (link)]. Once the model was built, the test set was used to construct receiver operating characteristic curves (ROCs), also assessing sensitivity and specificity (Supplementary Figure S6).
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7

Targeted Sequencing of COSMIC Hotspots

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For library construction, the quality of genomic DNA was assessed using the Genomic DNA ScreenTape on a TapeStation 4200 (Agilent Technologies, Santa Clara, CA, USA). The hotspot regions of approximately 2,800 COSMIC mutations from 50 oncogenes and tumor suppressor genes were enriched by multiplex PCR for 10 ng of genomic DNA obtained from each sample, according to the manufacturer’s instructions. The PCR-amplicon-based sequencing libraries were generated using AmpliSeq Library PLUS for Illumina (Illumina). The qualities of the libraries were assessed using High Sensitivity D1000 ScreenTape on a TapeStation 4200. The multiplex barcoded and equally-pooled libraries were sequenced using MiSeq (Illumina) in 151-base-pair (bp) paired-end reads.
Alignment and variant calling were performed using the DNA Amplicon Workflow on an Illumina BaseSpace Sequence Hub (https://jp.illumina.com/products/by-type/informatics-products/basespace-sequence-hub/apps.html). Functional annotations and the possible effects of variants were added using Illumina Annotation Engine on the BaseSpace.
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8

Ampliseq Library Construction and Illumina Sequencing

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Overall, 30 ng of gDNA for each sample was used for library construction using IMI Somatic Panel (3 primers pool) and Ampliseq Library PLUS for Illumina (Illumina Inc., San Diego, CA, USA) following the manufacturer’s instructions. Cycling conditions were performed according to the DNA type and primer pairs per pool: 23 cycles with an extension time of 4 min in the first multiplex PCR, whereas in the second, optional PCR, the gDNA were subjected to seven cycles. Sample libraries was combined and diluted to 2 nM, denatured with 0.2 N fresh NaOH, diluted to 8.4 pM by addition of Illumina HT1 buffer. Then, the libraries, spiked with 1% PhiX (8.4 pM), were sequenced on an Illumina MiSeq™ instrument by using the 300-cycle (2 × 150 paired ends) MiSeq v2 Reagent Kit v2 (Illumina).
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9

Targeted Cancer Gene Sequencing Protocol

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The chosen panel targeted single-nucleotide variants (SNVs) and insertion/deletions (indels) in the following genes: BRAF, EGFR, KRAS, NRAS, PIK3CA, and TP53. Libraries were prepared using the AmpliSeq Focus Panel and AmpliSeq Library Plus (Illumina, San Diego, USA) following the manufacturer’s protocol without modifications using a total of 10 ng input DNA per sample. Multiplex polymerase chain reaction (PCR) was performed in 20 cycles. Sequencing adapters with unique indexes (AmpliSeq CD Indexes Set A for Illumina) were ligated to the amplification products and purified using Agencourt AMPure XP beads (Beckman Coulter, CA, USA) according to the manufacturer’s instructions. Libraries with 2-nM molarities were subjected to clustering using a standard flow cell and were sequenced on the MiSeq platform (Illumina) using the MiSeq Reagent Micro Kit v2 (300 cycles).
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