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Neoprep

Manufactured by Illumina
Sourced in United States

The NeoPrep is a benchtop instrument designed to automate the library preparation process for next-generation sequencing. It performs the key steps of DNA or RNA fragmentation, end-repair, and adapter ligation. The NeoPrep streamlines sample processing to save time and improve consistency in library preparation workflows.

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13 protocols using neoprep

1

Liver mRNA Sequencing in Mice

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After the 2-week treatment, animals were sacrificed for mRNA sequencing from terminal liver samples (Fig 1). RNA was quantified using Qubit (Thermo Fisher Scientific). The RNA quality was determined using a bioanalyzer with RNA 6000 Nano kit (Agilent). RNA sequence libraries were prepared with NeoPrep (Illumina) using Illumina TruSeq stranded mRNA Library kit for NeoPrep and sequenced on the NextSeq 500 (Illumina) with NSQ 500 hi-Output KT v2 (75 CYS, Illumina). Reads were aligned to the Genome Reference Consortium Mouse Build 38 (GRCm38) version 89 Ensembl Mus musculus genome using Spliced Transcripts Alignment to a Reference (STAR) version 2.5.2a with default parameters [27 (link)]. Differential gene expression analysis was carried out using DESeq2 in R programming [28 (link)].
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2

RNA Isolation and Sequencing Protocol

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Total RNA was isolated using RNAzol (Sigma R4533) as per manufacturer’s instructions with the following modifications: StepV.2.-linear polyacrylamide (GenElute, Sigma 56575) was added as a carrier to the RNA solution prior to the addition of cold isopropanol. Samples were incubated overnight at −20° C to support precipitation of total RNA. Precipitated RNA was centrifuged at 21,000 × g for 30 mins at 4° C. SUPERase-IN RNase inhibitor (ThermoFisher AM2696) was added to 1:20 to the resuspended RNA solution. Sample integrity was tested on an Agilent Bioanalyzer 2100 RNA 6000 Nano kit (5067–1511). RNA samples with a RNA Integrity Number > 8 were used to prepare libraries following the standard protocol for the TruSeq Stranded mRNA library kit (Illumina) on the Illumina Neoprep automated microfluidic library prep instrument. Paired end sequencing was performed on the Illumina NextSeq 500 using the High Output 150 cycle Kit.
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3

RNA-seq analysis of mouse lung tumors

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Tumor samples were micro-dissected away from normal lung tissue and RNA was extracted using Qiagen RNeasy Micro kit per manufacturers instructions. Sequencing libraries were prepared on the Illumina NeoPrep and subjected to 75 bp paired end sequencing on the Illumina NextSeq 500 platform. Fastq files for each sample were aligned against the mouse genome, build GRCm38.p4, using the STAR aligner (v2.5.2b) [25 (link)]. FeatureCounts (v1.5.0-p1) was used to quantify alignments against the mouse genomic annotations from Gencode (vM11) [26 (link)]. High purity of tumor cell derived RNA was estimated by detecting SNPs that were engineered during design of the KrasLSL-G12D allele in the Integrative Genomics Viewer [27 (link), 28 (link)]. Differentially expressed genes were identified with DESeq2 (v1.14.0) [29 (link)].
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4

Arabidopsis DNA and RNA Sequencing

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DNA libraries of both SNS DNA (sucrose gradient fractions 3, 4, and 5 + 6 + 7 combined) and genomic DNAs were first sheared by an S2 focused-ultrasonicator (Covaris) for 2 min (Intensity 5, Duty Cycle 10%, Cycles per Burst 200), and then used as inputs to generate sequencing libraries by Ovation Ultralow V1 library prep kits (NuGen). The libraries were subjected to deep sequencing on HiSeq 2000 per manufacturer instructions (Illumina). In two of the three experiments, we used different amplification protocols for library generation with the purpose of estimating possible bias introduced by this crucial but unavoidable step. RNA-seq libraries were made by TruSeq Stranded mRNA library prep kit and NeoPrep (Illumina), and subjected to deep sequencing on HiSeq 2000 per manufacturer instructions (Illumina). Single-end sequenced reads (51 nt) were aligned to the reference Arabidopsis genome (TAIR10), using the Bowtie alignment tool (Langmead et al. 2009 (link)), allowing up to one mismatch and discarding multihit reads. PCR duplicate reads were removed using an in-house script (for full details, see Supplemental Methods).
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5

RNA-Seq from Whole Fly Samples

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Flies taken from the −80°C storage were immediately immersed and homogenized in Qiazol (Qiagen), and the Qiagen RNeasy Universal Plus Mini kit was used to extract total RNA from whole body flies. RNA‐Seq libraries were prepared with the TruSeq stranded mRNA Library Prep Kit on a Neoprep device (software version 1.1.0.8 and protocol version 1.1.7.6, Illumina) starting with 100 ng of total RNA and using the default settings for an insert size of 200 bp and 15 PCR (polymerase chain reaction) cycles. We avoided batch effects by randomizing all libraries across library cards with identical lot number. Reads of 50 bp were sequenced on the Illumina HiSeq 2500 platform.
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6

Liver Transcriptome Analysis by RNA-seq

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Liver transcriptome analysis was performed by RNA sequencing on RNA extracts from terminal liver samples (15 mg fresh tissue), as described in detail elsewhere34 (link). The RNA quantity was measured using Qubit® (Thermo Scientific, Eugene, OR). The RNA quality was determined using a bioanalyzer with RNA 6000 Nano kit (Agilent, Waldbronn, Germany). RNA sequence libraries were prepared with NeoPrep (Illumina, San Diego, CA) using Illumina TruSeq stranded mRNA Library kit for NeoPrep (Illumina, San Diego, CA) and sequenced on the NextSeq. 500 (Illumina, San Diego, CA) with NSQ 500 hi-Output KT v2 (75 CYS, Illumina, San Diego, CA). Reads were aligned to the GRCm38 v84 Ensembl Mus musculus genome using STAR v.2.5.2a with default parameters36 (link). Differential gene expression analysis was performed with DEseq237 (link). Genes with a Benjamini and Hochberg adjusted P ≤ 0.05 (5% False Discovery Rate, FDR) were regarded as statistically significantly regulated.
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7

Liver and Ileum Transcriptome Profiling by RNA-Seq

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Hepatic and ileal transcriptome analysis was performed by RNA sequencing on RNA extracts from terminal liver samples, as described[19 (link)]. RNA sequence libraries were prepared with NeoPrep (Illumina, San Diego, CA, United States) using Illumina TruSeq stranded mRNA Library kit for NeoPrep (Illumina, San Diego, CA, United States) and sequenced on the NextSeq 500 (Illumina, San Diego, CA) with NSQ 500 hi-Output KT v2 (75 CYS, Illumina, San Diego, CA, United States). Reads were aligned to the GRCm38 v84 Ensembl Mus musculus genome using STAR v.2.5.2a with default parameters[23 (link)]. Differential gene expression analysis was performed with DEseq215[24 (link)].
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8

Total RNA Isolation from Muscle Tissue

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To isolate total RNA, TA muscles were placed in 1 mL of RNAsol (Sigma Aldrich) and homogenized using a tissue homogenizer (OMNI International). RNA was extracted after 10 min precipitation in isopropanol and resuspended in RNAse free water and RNase inhibitor (1:20; New England BioLabs, #M0314L). RNA integrity was tested as previously described in Soliman et al.28 using the Agilent Bioanalyzer 2100. RNA libraries were prepared following the standard protocol for the TruSeq Stranded mRNA library kit (Illumina) on the Illumina Neoprep automated microfluidic library prep instrument. Paired end sequencing was performed on the Illumina NextSeq 500 using the High Output 150 cycle Kits.28
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9

Liver Transcriptome Analysis by RNA-Seq

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Liver transcriptome analysis was performed by RNA sequencing on RNA extracts from terminal liver samples (15 mg fresh tissue), as described in detail elsewhere[22 (link),23 (link)]. The RNA quantity was measured using Qubit® (Thermo Scientific, Eugene, OR, United States). The RNA quality was determined using a bioanalyzer with RNA 6000 Nano kit (Agilent, Waldbronn, Germany). RNA sequence libraries were prepared with NeoPrep (Illumina, San Diego, CA, United States) using Illumina TruSeq stranded mRNA Library kit for NeoPrep (Illumina, San Diego, CA, United States) and sequenced on the NextSeq 500 (Illumina, San Diego, CA, United States) with NSQ 500 hi-Output KT v2 (75 CYS, Illumina, San Diego, CA, United States). Reads were aligned to the GRCm38 v84 Ensembl Mus musculus genome using STAR v.2.5.2a with default parameters[38 (link)]. Differential gene expression analysis was performed with DEseq237. Genes with a Benjamini and Hochberg adjusted P ≤ 0.05 (5% false discovery rate, FDR) were regarded as statistically significantly regulated. The Reactome pathway database[39 (link)] was used as gene annotation in a gene set analysis using the R package PIANO v.1.18.1[40 (link)], with the Stouffer method and Benjamini-Hochberg adjusted P values (FDR < 0.01).
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10

Hepatic Transcriptome Profiling by RNA-Seq

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Hepatic transcriptome analysis was performed by RNA sequencing on RNA extracts from terminal liver samples (15 mg fresh tissue), as described in detail previously[19 (link)]. The RNA quantity was measured using Qubit® (Thermo Scientific, Eugene, OR, United States). The RNA quality was determined using a bioanalyzer with RNA 6000 Nano kit (Agilent, Waldbronn, Germany). RNA sequence libraries were prepared with NeoPrep (Illumina, San Diego, CA, United States) using Illumina TruSeq stranded mRNA Library kit for NeoPrep (Illumina, San Diego, CA, United States) and sequenced on the NextSeq 500 (Illumina, San Diego, CA, United States) with NSQ 500 hi-Output KT v2 (75 CYS, Illumina, San Diego, CA, United States). Reads were aligned to the GRCm38 v84 Ensembl Mus musculus genome using STAR v.2.5.2a with default parameters[36 (link)]. Differential gene expression analysis was performed with DEseq2[37 (link)]. Genes with a Benjamini and Hochberg adjusted P ≤ 0.05 (5% False Discovery Rate) were regarded as statistically significantly regulated. Enrichment analysis of KEGG pathways were performed using the clusterProfiler package for R[38 (link)].
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