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454 gs junior system

Manufactured by Roche
Sourced in United States, Germany, Switzerland

The 454 GS Junior System is a next-generation sequencing platform developed by Roche. It is designed to perform DNA sequencing using the 454 pyrosequencing technology. The system provides rapid and accurate sequencing of genomic DNA fragments, enabling a range of applications in life science research.

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35 protocols using 454 gs junior system

1

FFPE Tissue DNA Extraction and VDJ Analysis

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Genomic DNA was extracted from 5 to 10 μm of FFPE tissue using a DNA extractor (MagCore NucleicAcid Extractor, RBC Bioscience, Taiwan) and MagCore Genomic DNA FFPE One-Step Kit, following the manufacturer’s recommendations. Genomic DNA quality was assessed using BIOMED-2 control gene PCR protocol and samples with a DNA product size of ≥ 300 base pairs (bp) were analyzed [11 (link)]. Before initiating VDJ gene rearrangement analysis by HTS, all cases were analyzed to evaluate clonality according to the BIOMED-2 protocol [11 (link)]. NGS analysis was performed on 454 GS Junior system (Roche) previously described [12 (link)]. Data analysis was performed using the Roche (Basel, Switzerland) proprietary software package for the 454 GS Junior system (Roche). Image acquisition, image processing, and signal processing were performed during the run.
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2

TCR Repertoire Analysis in Pd Allergy

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To investigate the skewing of TCRs in Pd allergy, we analyzed the TCR repertoire using a next generation sequencer. Briefly, total RNA was prepared from the SLN 24 hours after Pd challenge [16 (link)]. Complementary DNA was synthesized from total RNA and TCR chains were amplified using adaptor ligation-mediated PCR. The specific PCR primers were 5′-AGG TGA AGC TTG TCT GGT TGC TC-3′ (TCRα) and 5′-TGC AAT CTC TGC TTT TGA TGG CTC-3′ (TCRβ). Then, using the PCR products as templates, TCR sequences were analyzed using the 454 GS junior+ system (Roche Applied Science, Indianapolis, IN, USA) according to the manufacturer’s protocol. Alignments among approximately 100,000 sequences/run were performed with IMGT/V-QUEST (http://www.imgt.org).
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3

Microbiome Analysis of Caecal Contents

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The extraction of bacterial DNA from the samples of caecal contents was performed as described previously34 (link). The hypervariable V1–V2 region of the 16 S gene was amplified by PCR with barcoded 27Fmod (5′-AGRGTTTGATYMTGGCTCAG-3′) and reverse primer 338R35 (link) (5′-TGCTGCCTCCCGTAGGAGT-3′) and then sequenced using the 454 GS FLX Titanium or 454 GS Junior system (Roche Applied Science). Operational taxonomic unit (OTU) clustering, taxonomy assignment and UniFrac analysis were performed as described previously36 (link).
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4

Microbial DNA Extraction and 16S rRNA Amplification

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Microbial DNA on the Sterivex filters was retrieved using a ChargeSwitch Forensic DNA Purification Kit (Invitrogen) according to the supplier's protocol with one exception: the filters were directly suspended in the extraction solution from the kit during the cell lysis process. The V5-V6 region of the prokaryotic 16S rRNA gene was amplified using a standard PCR protocol with TaKaRa Ex Taq (TaKaRa) and the following high-performance liquid chromatography-purified primers: 784F (5′- RGGATTAGATACCC -3′) and 1064R (5′- CGACRRCCATGCANCACCT -3′) (Wang and Qian, 2009 (link); Claesson et al., 2010 (link)). Amplified DNA was concatenated to multiplex identifier tags that were unique to each sample, and a mixture of 10 samples on average was sequenced in one run on a 454 GS Junior System (Roche) after size selection (350 ± 50 bp). Pre-packaged sterile water for injection (in lieu of water from a laboratory water purification system) was used throughout the DNA extraction, PCR amplification, and DNA library preparation steps to avoid water-mediated contamination.
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5

Comprehensive BCR-ABL Mutation Detection

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Sanger sequencing was applied as previously described (16 (link)). Briefly, RNA was extracted from the CML-T1 and CML-T1/IR cells with TRIzol (Thermo Fisher Scientific, Inc., Waltham, MA, USA) and the complementary DNA was synthesized by M-MLV reverse transcriptase (Promega, Madison, WI, USA) using random hexamer primers (Jena Bioscience GmbH, Jena, Germany). The cDNA region encoding the kinase domain of the fused BCR-ABL was amplified using nested PCR. The resulting 914-bp amplicon was sequenced from both strands. Based on the conclusive observation of mutated BCR-ABL transcripts, we explored the analysis using next-generation deep sequencing (NGS) with IRON-II BCR-ABL plates (IRON, International Robustness of Next-Generation sequencing) on a 454 GS Junior system (Roche Applied Science, Penzberg, Germany) to reveal the presence of mutations below the detection limit of Sanger sequencing. The protocol and algorithm previously established for NGS data evaluation (17 (link)) were followed.
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6

IGVH Amplification from CLL RNA

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The extraction of total RNA from CLL samples was performed with Trizol according to the manufacturer's recommendations (Invitrogen, Life Technologies, Carlsbad, CA).
In total, 1 μg of whole extracted RNA per patient was transcribed into complementary DNA using the QuantiTect Reverse Transcription Kit (Qiagen, Hilden, Germany) according to the manufacturer's instructions. Resulting cDNA underwent polymerase chain reaction amplification of the IGVH locus using modified BIOMED-2 framework region 1 consensus primers in combination with a consensus J segment primer, as previously described.11 (link) The analysis of the data was performed using the Roche (Basel, Switzerland) proprietary software package for the 454 GS Junior system (Roche). Image acquisition and treatment and signal processing were performed during the run. The bioinformatical analysis was executed using the 454 GS Junior system, as previously described.11 (link)
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7

Salivary Microbiome Profiling in pSS

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Whole unstimulated saliva was collected from nine pSS patients (age 45–79 years) consisting of eight females and one male, and from nine healthy female controls (age 39–68 years). They all had a normal salivation rate of >1.5 ml in 15 min. All patients fulfilled the revised American European Consensus Group criteria for classification of pSS (9 (link)). DNA was extracted from the samples (200 µl volume) using the MasterPureTM DNA Purification kit (Epicentre, Illumina Company, Madison, WI) and the final DNA was dissolved in 1×TE buffer. The 16S rRNA hypervariable region V1V2 was sequenced on a 454 GS Junior system (Roche, Branford, CT) using the primers (9 (link)) listed in Table 1. Molecular identifier (MID) tags, 10-mer, were used as sample identifiers and are listed in Supplementary Table 1. Amplification reactions were performed as described by Siddiqui et al. (10 (link)), with minor modifications as follows: the cycling program was reduced to 30 cycles and triplicate PCRs were performed for each sample. All PCR products were pooled and purified using Agencourt AMPure PCR purification (Beckman Coulter, Brea, CA). DNA quality and concentration were assessed with Bioanalyzer 2100 (Agilent, Santa Clara, CA) and Nanodrop 3300 Flurospectrometer (Thermo Scientific, Wilmington, DE).
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8

Fecal Microbiome Dynamics in Hematopoietic Transplant

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Stool samples were collected at 3 time points: at the beginning of the pretransplantation conditioning regimen, usually 6 days before transplant (T0); 10 days following transplant (T1), in correspondence with the period of full aplasia and the epidemiological peak of post-transplant sepsis [23 (link)]; and 30 days after transplant (T2) (Figure 1). The fecal microbiome was analyzed using the 454 GS Junior System (Roche Applied Science, Mannheim, Germany), using polymerase chain reaction (PCR) primers targeting the V3–V5 regions of the 16S ribosomal RNA gene. Full methods and details on the bioinformatic analysis are reported in the supplementary material.
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9

Whole Genome Sequencing of Streptococcus suis

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The whole genomes of seven strains were sequenced and assembled on the Roche 454 GS Junior System at the Bioinformatics Center of Nanjing Agricultural University (Nanjing, China). These scaffolds of each genome were ordered according to the reference genome of the S. suis strain P1/7 (AM946016), using the Mauve v2.4.0 software (Darling et al., 2004 (link)). PCR assays were employed to close the gaps to obtain whole sequences of predicted MGEs.
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10

Profiling Immunoglobulin Repertoire via NGS

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Genomic DNA was isolated from 1 × 106 cells after TSA treatment. The VL regions were amplified by PCR using sense primer (CGTATCGCCTCCCTCGCGCCATCAGNNNNNNNNNNCAGGTTCCCTGGTGCAGGC, where N indicates index sequences) and antisense primer (CTATGCGCCTTGCCAGCCCGCTCAGGCTTGGTCCCTCCGCCGAA), and VH regions were amplified with sense primer (CTATGCGCCTTGCCAGCCCGCTCAGTCCGTCAGCGCTCTCT) and antisense primer (CGTATCGCCTCCCTCGCGCCATCAGNNNNNNNNNNTGGGGGGGGTTCATATGAAG, where N indicates index sequences). PCR products were purified and analyzed using a 454 GS-junior system (Roche Diagnostics). The sequence reads with lengths less than 250 bp between the first read and the sequence position with quality values <15 were filtered out from further analysis, and each sequence was sectioned into the immunoglobulin framework and CDR according to the Kabat numbering scheme. To evaluate the number of unique sequences (NUS), we repeated 10 attempts of the following cycles: (i) a certain number of read extractions, (ii) determination of the FR/CDR, and (iii) counting of unique sequence reads. The average of the 10 attempts was determined as NUS.
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