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19 protocols using scriptseq v2

1

RNA-seq Library Preparation and Sequencing

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Unless otherwise specified below, RNA sequencing libraries were prepared using RNA that had been rRNA depleted using Ribo-Zero Gold (Illumina) followed by ScriptSeq-v2 (Illumina), and sequenced on an Illumina HiSeq2500 or Illumina NextSeq500 instrument at Rockefeller genomic resource center. RNA-seq libraries for expression profiling of MDA-LM2 cells with shRNA-mediated XRN2, EXOSC10, RBM7 or UPF1 knockdown were generated using the QuantSeq 3’ mRNA-Seq library prep kit fwd (Lexogen) per the manufacturer’s protocol, and sequenced on an Illumina HiSeq4000 at UCSF CAT.
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2

Quantification of Splicing Isoforms and RNA-Binding Events

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RNA-seq libraries were prepared with ScriptSeq v2 (Illumina), QuantSeq (Lexogen), or SMARTer Pico v2 (Takara) kits. Splicing isoform quantification was performed using MISO and rMATS packages. The bind-n-Seq experiment was performed as previously described (45 (link)), with minor modifications. Targeted DMS-MaPseq was performed as previously described (33 (link)), with minor modifications. SNRPA1 irCLIP-seq was performed as described (39 (link)), with minor modifications.
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3

Stranded RNA-seq Library Preparation

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Polyadenylated RNA was isolated and converted into stranded RNA-seq libraries using Script-Seq v2 (Illumina). Real-time PCR was performed using primer sequences are listed in Online Table I.
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4

Comprehensive Mapping of B. subtilis tRNA Modifications

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Deep sequencing-based identification of the B. subtilis tRNA modifications was performed using RiboMethSeq protocol, allowing us to map 2′-O-methylations by their protection to cleavage [41 (link),42 (link)]. Reverse Transcriptase (RT) misincorporation signatures at RT-arresting nucleotides [43 (link),44 (link)] were extracted from RiboMethSeq data and also from the RT-primer extension, using TTO-based ScriptSeq v2 (Illumina, San Diego, CA, USA) library preparation kit. RiboMethSeq analysis of tRNAs was performed using alkaline fragmentation of total B. subtilis RNA, followed by library preparation and sequencing [42 (link)]. RT misincorporation signatures were extracted from Samtools mpileup format and manually validated by inspection of aligned reads in *.bam file in IGV. Pseudouridine mapping (Psiseq) was performed in the tRNA-enriched fraction of B. sublitis RNAs, using a chemical-based protocol derived from CMCT (1-cyclohexyl-(2-morpholinoethyl)carbodiimide metho-p-toluene sulfonate)-chemical mapping protocol, and specifically adapted to tRNAs [45 (link),46 (link),47 (link)].
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5

Cardiomyocyte transcriptome profiling

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RNA was prepared from purified adult cardiomyocytes as described (He et al., 2012a (link)). mRNA sequencing library was prepared with Script-seq v2 (Illumina), and sequenced on Illumina Hi-seq 2000 (PE100). The resulting sequences were mapped to the mouse genome mm9 with STAR (Dobin et al., 2013 (link)). Transcripts per million reads (TPM) and Fragments per kilobase of exon per million fragments (FPKM) were generated for further quantification by RSEM and Bowtie 2 (Langmead and Salzberg, 2012 (link); Li and Dewey, 2011 (link)), and differentially expressed genes were called with edgeR (v3.14.0) with the following criteria: adjusted p-value<0.05 and fold change (FC) >1.5 or <0.67. The gene ontology (GO) enrichment analysis of DEGs was performed using Metascape (Tripathi et al., 2015 (link)). The top six GO terms with p-value<0.001 in the ‘biological process’ category were used.
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6

RNA-Seq analysis of gene expression

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RNA was treated to deplete rRNA using Ribo-Minus technology. Libraries were prepared from purified RNA using ScriptSeq™ v2 and were sequenced on an Illumina HiSeq platform. We obtained 60 million paired-end reads of 50 bp length. Read mapping was done with STAR aligner using default settings with the option –outSAMtype BAM SortedByCoordinate (22 (link)) with default settings. For known transcript models we used GRCm38.100 Ensembl annotations downloaded from Ensembl repository (23 (link)). Counting reads over gene model was carried out using GenomicFeatures Bioconductor package (24 (link)). The aligned reads were analysed with custom R scripts in order to obtain gene expression measures. For normalization of read counts and identification of differentially expressed genes we used DESeq2 with Padj < 0.01 cutoff (25 (link)). GO term and KEGG pathways were analysed using g:Profiler (26 (link)) and metascape (27 (link)). The data are deposited to GEO and can be downloaded under the accession number GSE186703.
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7

RNA Extraction and Sequencing

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Total RNA was isolated with AllPrep from cell lines and rRNA depletion was performed with RiboZero (Illumina). rRNA
depletion was confirmed by RNA Pico Bioanalyzer (Agilent). Approximately 25 ng of rRNA-depleted was used for library
preparation with the ScriptSeq v.2 (Illumina) kit according to the manufacturer’s recommendation and sequencing was
performed on HiSeq.
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8

RNA Sequencing Protocols for Metastasis and Stability

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Unless otherwise specified below, RNA sequencing libraries were prepared using RNA that had been rRNA depleted using Ribo-Zero Gold (Illumina) followed by ScriptSeq-v2 (Illumina), and sequenced on an Illumina HiSeq4000 at UCSF Center for Advance Technologies. Matched primary and liver metastases were sequenced using SENSE RNA-seq library preparation kit (Lexogen). AKAP12 knockdown cells were profiled using QuantSeq 3’ mRNA-Seq library prep kit fwd (Lexogen).
To measure RNA stability, SW480 RBMS1 knockdown and control cells were treated with 10 mg/mL α-amanitin (final concentration in the medium). After 9 hours, total RNA was harvested from the cells using the Norgen Cytoplasmic and Nuclear RNA Purification Kit per the manufacturer’s protocol. RNA-seq libraries were then prepared and log-fold changes in RNA stability were measured by comparing log(t9/t0) in control and RBMS1 knockdown cells.
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9

RNA-seq Analysis of E. coli Strains

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MG1655+FosC, MG1655::LPLσ+FosC, MG1655+Fos10T31 and MG1655::LPLσ+Fos10T31 (all in duplicate) were grown in LB broth and induced with 1 mM IPTG for 6 h at which time 10-ml culture was sampled for RNA isolation. RNA isolation samples were centrifuged at 4,000 relative centrifugal force (RCF) at 4 °C for 10 min, decanted and stored at −80 °C. Ten μg per sample of RNA extracted with the RNeasy kit (Qiagen) had DNA removed with the DNA-free kit (Life) and was enriched for mRNA with the MicrobExpress kit (Ambion) thrice, according to the manufacturers' protocols. The ScriptSeq v2 (Illumina) kit was used to construct the RNAseq libraries. The fragment length of the libraries was checked using Bioanalyzer (Agilent, Santa Clara, CA, USA) before sequencing.
Deep sequencing using HiSeq2500 (Illumina) with a 75-bp read length resulted in individual library sequence files. Files were processed to remove barcodes, trim adaptors and obtain read counts. Rockhopper software45 (link) was used to align raw read files to the E. coli and L. plantarum genomes (annotations from National Center for Biotechnology Information) and to do differential expression analysis (at q-value<0.05). Integrated Genome Viewer was used for visualizing read alignments46 (link).
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10

rRNA Depletion and RNA-seq Library Preparation

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rRNA was depleted with Ribo-Zero Gold rRNA Removal kit (Illumina Inc.) and sequencing libraries were prepared with Nextera (Illumina; ventral hippocampus) or ScriptSeq v2 (Epicentre; medial prefrontal cortex) RNA-seq library preparation kits. Sequencing was conducted on HighSeq 2000 (ventral hippocampus, paired-end 91 bp, Illumina) or NextSeq 500 platforms (medial prefrontal cortex, single-end 96 bp; Illumina). Low abundant genes were filtered, keeping genes with at least 1 CPM in at least six samples. With this threshold, we detected 18,947 genes in the medial prefrontal cortex and 19,560 genes in the ventral hippocampus.
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