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6 protocols using rna pico chip kit

1

RNA Analysis of Cells and EVs

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RNA quality and size distribution of the cells and cell-secreted EVs were determined by electropherograms from the Bioanalyzer 2100 using the RNA Pico Chip kit (Agilent Technologies).
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2

Differential Gene Expression Analysis of GFP-positive and GFP-negative Cells

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After FACS sorting, RNA was extracted separately from GFP-positive and GFP-negative cells using an RNeasy Mini Kit (QIAGEN) and eluted in 20 μl of water with the eluate passed twice through the column to increase yield. The quantity of RNA was determined using a Nanodrop 2000c spectrophotometer (Thermo Fisher Scientific). Three biological replicates for the GFP-positive and GFP-negative samples (at ~50 ng/sample) were submitted to the Centre for Applied Genomics (Toronto, Canada). Here, the quality of the samples was assessed using the Agilent Bioanalyzer 2100 with the RNA Pico Chip kit (Agilent Technologies). RNA integrity number values between 6.5 and 7 were achieved. Expression profiling was performed according to the manufacturer’s instructions with Affymetrix GeneChip Mouse Gene 2.0 ST Array. Primary data analysis was carried out with the Affymetrix Expression Console, version 1.4.1.46, software, including the Robust Multiarray Average module for normalization. Gene expression data were log transformed. A change was considered significant when the FDR-corrected P value/q value thresholds met the criterion q < 0.01 at fold changes greater than 2 (expression increments or declines larger than 2). Raw sequence data were deposited in the NCBI’s Gene Expression Omnibus (GEO GSE201227).
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3

Transcriptomic Profiling of Larval and Juvenile Bivalves

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All larvae and juveniles were preserved in RNAlater and stored at −20 °C until library preparation. Larvae and juveniles were both preserved at the ambient and heat treatments once the heat treatment reached ~50% mortality. Ten pooled larvae and two juveniles were extracted per cross/treatment due to low RNA concentrations per larva and juvenile. Extractions were performed using an RNAqueous kit (Ambion) and homogenized with an additional bead-beating step in 100 µl Lysis solution with ~6 glass beads (MPBio lysing matrix C) on the FastPrep (5.5 m/s for 30 sec × 2 times). Total RNA quantity was normalized to 375 ng for larval samples and 30 ng for juvenile samples using an RNA Pico Chip kit on the Agilent 2100 Bioanalyzer. Due to the high mortality of juveniles infected with C1 in the heat treatment, there was not adequate RNA to sequence these individuals. Samples were then selected and normalized based on RNA concentration and RIN (15 ng/µl for larvae, mean RIN = 6.6 and 2.5 ng/µl for juveniles, mean RIN = 6.9) and sent to Genomic Sequencing and Analysis Facility at the University of Texas at Austin for custom library preparation and SR50 tag-based sequencing on the Illumina Hi-Seq 2500.
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4

RNA-Seq Library Preparation from Mammalian Cells

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Following DNase treatment and cleanup of RNA from isolated cells using Zymo RNA cleanup and concentrator kit (Zymo research, CA) quality assessment was performed on Agilent 2100 bioanalyzer with RNA Pico chip kit (Agilent Technologies, CA). RNA integrity score ≥6 was used for cDNA library preparation from each sample. 10 ng of total RNA was used to generate RNA-Seq libraries using SMARTer stranded total RNA-Seq kit-Pico input mammalian kit (Clontech Laboratories Inc., CA). Briefly, total RNA was converted to cDNA using SMART® (Switching Mechanism at 5′ end of RNA template) and locked nucleic acid (LNA) technology included as part of the template-switching oligo (TSO). Ribosomal cDNA (originating from rRNA) was then cleaved by ZapR in the presence of mammalian-specific R-probes. The library fragments originating from non-rRNA molecules were enriched via PCR amplification. Quality of the libraries were assessed via Agilent 2100 Bioanalyzer using DNA High Sensitivity Chip kit, and quantified using Kappa SYBR®Fast qPCR kit (KAPA Biosystems, MA). 151 bp sequence paired end reads were generated using the Illumina HiSeq 4000 platform (Illumina, CA).
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5

RNA Integrity Analysis and Microarray Hybridization

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RNA integrity was analyzed using the Agilent Bioanalyzer 2100 with the RNA Pico chip kit (Agilent Technologies). 200 ng of isolated RNAs were subjected to microarray hybridization as described in [35 (link)]. Hybridization was performed on Affymetrix ClariomTM D Arrays according to the manufacturer’s instructions (Thermo Fisher).
Analysis of the microarray data was conducted with the provided Transcriptome Analysis Console Software from Thermo Fisher (Version 4.0.1, Waltham, USA). The analysis included quality control, data normalization, and statistical testing for differential expression (Limma). Transcripts were considered as significantly differentially expressed with a fold change (FC) higher than 2 or smaller −2, false discovery rate (FDR) < 0.05, and p < 0.05. The pathway analyses were conducted based on a gene set enrichment analysis using Fisher’s Exact Test (GSEA) on the Wiki-Pathways database. Only significant pathways have been selected.
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6

Microarray Analysis of Cardiomyocyte RNA

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RNA isolation of cardiomyocytes was carried out using the NucleoSpin® RNA isolation kit (Macherey–Nagel, Düren, Germany) according to the manufacturer instructions. RNA integrity was evaluated using the Agilent Bioanalyzer 2100 with the RNA Pico chip kit (Agilent Technologies). For microarray analysis, 200 ng of isolated RNA samples were applied, and hybridization was performed as described previously [26 (link)]. Hybridization was carried out on Affymetrix Clariom™ D Arrays according to the instructions of the manufacturer (Thermo Fisher Scientific). Data analysis was conducted with the provided Transcriptome Analysis Console Software from Thermo Fischer Scientific (Version 4.0.1). The raw microarray data is accessible at the EMBL-EBI ArrayExpress website under the accession number E-MTAB-13152 (https://www.ebi.ac.uk/biostudies/arrayexpress/studies?query=E-MTAB-13152) [27 ]. The analysis included quality control, data normalization, and statistical testing for differential expression (Limma). Transcripts are considered as significantly differentially expressed (DE) with a fold change (FC) higher than 2 or lower than − 2, false discovery rate (FDR) < 0.5, and p-value < 0.05. Gene expression networks were visualized using the Cytoscape application ClueGo [28 (link)]. Heatmaps were generated using heatmapper [29 (link)].
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