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18 protocols using v4 chemistry

1

mRNA sequencing and expression analysis

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llumina TruSeq mRNA libraries were generated and sequenced with 50–65 base single reads on a HiSeq 2500 using V4 chemistry (Illumina Inc., San Diego)50 (link). The resulting reads were trimmed using Cutadapt (version 1.15) to remove any remaining adapter sequences and to filter reads shorter than 20 bp after trimming to ensure good mappability. The trimmed reads were aligned to the GRCm38 reference genome using STAR (version 2.5.3a). QC statistics from Fastqc (version 0.11.5) and the above-mentioned tools were collected and summarized using Multiqc (version 1.1). Gene expression counts were generated by featureCounts (version 1.5.2) using gene definitions from Ensembl GRCm38 version 89. Normalized expression values were obtained by correcting for differences in sequencing depth between samples using DESeqs median-of-ratios approach and then log-transforming the normalized counts.
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2

RNA-Seq Transcriptome Profiling in Human Samples

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Total RNA was extracted using TRIzol reagent (Ambion life technologies) according to the manufacturer’s instructions. Quality and quantity of total RNA was assessed on a 2100 Bioanalyzer using a Nano chip (Agilent). Total RNA samples having RIN values >8 were subjected to library generation. Strand-specific libraries were generated using the TruSeq Stranded mRNA sample preparation kit (Illumina Inc.) according to the manufacturer's instructions. Libraries were sequenced on a HiSeq2500 using V4 chemistry (Illumina Inc.), and reads (65bp single-end), were aligned against the human reference genome (hg38) using TopHat (version 2.1.0), allowing the spanning of exon-exon splice junctions. TopHat was supplied with a known set of gene models (Ensembl version 77). Samples were generated using a stranded library preparation protocol, in which TopHat was guided to use the first-strand as the library-type. Tophat was run with bowtie 1 version 1.0 and the additional parameters “—prefilter-multihits” and “—no coverage”. In order to count the number of reads per gene, a custom script (ItreeCount) was used. This script is based on the same concept as HTSeq-count and has comparable output. ItreeCount generates a list of the total number of uniquely mapped sequencing reads for each gene that is present in the provided Gene Transfer Format (GTF) file.
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3

Ribo-Zero RNA-Seq Library Preparation

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116 ng of total RNA was depleted using the Illumina Ribo-zero rRNA Removal Kit (Bacteria) and purified with Ampure XP beads. Successful depletion was confirmed using Qubit and Agilent 2100 Bioanalyzer. All of the depleted RNA was used as input material for the ScriptSeq v2 RNA-Seq Library Preparation protocol. Following 15 cycles of amplification the libraries were purified using Ampure XP beads. Each library was quantified using Qubit and the size distribution assessed using the Agilent 2100 Bioanalyzer.
The final libraries were pooled in equimolar amounts using the Qubit and Bioanalyzer data. The quantity and quality of each pool was assessed by Bioanalyzer and subsequently by qPCR using the Illumina Library Quantification Kit from Kapa on a Roche Light Cycler LC480II according to manufacturer's instructions. Sequencing was performed at the Centre for Genomic Research, University of Liverpool, on one lane of the Illumina HiSeq 2500 2x125 bp using v4 chemistry (Illumina).
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4

RNA Extraction and Sequencing from Whole Blood

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Whole blood was drawn from patients directly into PAXgene RNA tubes (QIAGEN Inc.). These tubes were frozen and shipped to the University of Minnesota. We used the “whole blood PAXgene Blood RNA kit” to extract the ribonucleic acid (RNA) from blood samples (QIAGEN Inc.) according to the manufacturer’s protocol. One microgram of total RNA was measured by RiboGreen RNA Quantification kit (Invitrogen Inc. USA). One microgram was submitted to the University of Minnesota Biomedical Genomics facility for quality controls, assessed by Agilent 2100Bioanalyzer (Agilent Technologies Inc. USA). The Clontech StrandedRNA Pico Mammalian kit was used for library creation. Paired-end (2 × 125 bp or x50bp) sequencing was done on a HiSeq2500 instrument, for 125 cycles, using v4 chemistry (Illumina Inc. USA). The fastq files from this study are deposited in the National Center for Biotechnology Information’s Gene Expression Omnibus and are accessible through GEO Series, ticket number is GSE162914.
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5

Transcriptome Profiling of Optic Fissure Development

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Optic fissure and opposing dorsal retinal tissue was dissected from 5 biological replicates at 32 hpf, 48 hpf and 56 hpf. RNA was extracted using the RNeasy FFPE Kit (Qiagen) and quantified using the Bioanalyzer 2100 RNA Pico system (Agilent biosystems). cDNA libraries were constructed from total RNA (RIN ≥ 8) using the Clontech SMART-Seq v4 Ultra Low Input RNA Kit for Sequencing (Clontech) and sequenced on a HiSeq 2500 system using v4 chemistry (Illumina). Paired-end sequences of 100 bp were generated.
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6

Optimized RNA-seq Library Preparation and Sequencing

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RNA-seq analysis was performed at The Centre for Applied Genomics (TCAG) in Toronto. Samples were depleted of ribosomal RNA (rRNA) using the NEBNExt Ultra Directional RNA Library Prep Kit (New England BioLabs, Beverly, MA), and were sequenced on the Illumina HiSeq 2500 platform using V4 Chemistry (Illumina, San Diego, CA) to generate paired-end reads of 126 bases from 300–400 base inserts. In brief, Illumina-compatible adaptors were ligated to the cDNA and amplified for 12 cycles, during which different sample-barcoded primers were incorporated to enable multiplexed sequencing. The amplified cDNA was quantified for loading onto the sequencing flow cell using a KAPA Library Quantification Kit (Roche Diagnostics, Laval, Quebec, Canada). The resulting sequencing runs generated 120 and 166 million paired-end reads from the leukocyte and muscle libraries, respectively. Reads were trimmed of adaptor and low-quality sequences using Trimmomatic v0.32 (Bolger et al. 2014 (link)), discarding reads shorter than 36 bases. We then employed QuorUM v1.0.0 (Marcais et al. 2015 (link)) and a k-mer size of 24 to correct the trimmed sequence reads.
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7

RNA-sequencing of Fresh-Frozen Head and Neck Tumor Samples

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Fresh-frozen tumor samples were sectioned, collected for RNA preparation and in part subjected to tumor percentage evaluation by revision of HE stained coupes by senior head and neck pathologist Dr. S.M. Willems. Only samples with a tumor percentage of >40% proceeded to RNA-sequencing. RNA was isolated using the AllPrep DNA/RNA mini kit (Qiagen). Quality and quantity of total RNA was assessed by the 2100 Bioanalyzer using a Nano chip (Agilent, Santa Clara, CA). Only total RNA samples having RIN>7 were used for library preparation. Strand-specific libraries were generated using the TruSeq Stranded mRNA sample preparation kit (Illumina Inc., San Diego, RS-122-2101/2) according to the manufacturer's instructions (Illumina, Part # 15031047 Rev. E). The libraries were analyzed on a 2100 Bioanalyzer using a 7500 chip (Agilent, Santa Clara, CA), diluted and pooled equimolar into a 10 nM multiplex sequencing pool and sequenced with 65 base single reads on a HiSeq2500 using V4 chemistry (Illumina Inc., San Diego). Reads were mapped against the GRCh38 human genome using TopHat2.1 (70 (link)), with options “fr-firststrand,” “transcriptome-index,” and “prefilter multi-hits.” Read counts were determined using HTSeq-count (71 (link)) with options “stranded” and mode “union.”
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8

HiSeq2500 Library Sequencing

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The libraries were sequenced with 65 base single reads on a HiSeq2500 using V4 chemistry (Illumina).
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9

Profiling Immune Cell Subsets via RNA-seq

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PBMCs from 3 healthy donors were stained with the appropriate antibodies (Supplementary Fig. 1a) and within the live CD3CD19HLA-DR+ population, pDC (CD11cCD14CD303+), cDC1 (CD11c+CD14CD141+), cDC2 (CD11c+CD14CD1c+), and moDC (CD11c+CD14+CD1c+CD206+) were sorted. Then cells were washed in ice-cold PBS and resuspend in buffer RLT (Qiagen). Total RNA isolation was performed according to manufacturer’s protocol using the RNeasy MinElute Cleanup Kit (Qiagen). Quality and quantity of the total RNA were assessed on a 2100 Bioanalyzer using a Nano chip (Agilent). Only RNA samples having an RNA Integrity Number (RIN) > 8 were subjected to library generation. Strand-specific cDNA libraries were generated using the TruSeq Stranded mRNA sample preparation kit (Illumina) according to the manufacturer’s protocol. The libraries were analyzed for size and quantity of complementary DNAs (cDNAs) on a 2100 Bioanalyzer using a 7500 chip (Agilent), diluted and pooled in equimolar ratios into a multiplex sequencing pool. The libraries were sequenced as 65 base single reads on a HiSeq2500 with V4 chemistry (Illumina).
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10

Transposon sequencing library construction and analysis

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The TnSeq libraries were constructed as previously described12 (link). The resultant TnSeq libraries were sequenced using a HiSeq. 2500HO, 125 bp PE run using v4 chemistry (Illumina). Sequence reads were analyzed as previously described12 (link). Briefly, we first trimmed sequence reads for transposon and adaptor sequences and then discarded the sequence reads that were shorter than 18 bp. We used the CutAdapt67 default error rate of 0.1 for all trimming processes. The trimmed sequence reads were mapped (allowing 1 bp mismatch) to the M. intracellulare ATCC13950 genome (GenBank: NC_016946.1) and converted output to SAM format using Bowtie268 (link). The numbers of sequence reads at each TA site were counted and converted to the wig format, the input file format for TRNSIT23 (link) using the custom Python script12 (link). After averaging the obtained read counts between the three replicates in each experimental setting, statistical analysis for determination of essential genes and fitness for hypoxic growth was performed by the Hidden Markov Model (HMM) and resampling analysis on TRANSIT, respectively.
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