Rna nano chip
The RNA Nano Chip is a lab equipment product designed for the analysis and quantification of RNA samples. It is a microfluidic chip that utilizes electrophoretic separation and fluorescent detection to provide accurate and reproducible results for RNA sample analysis.
Lab products found in correlation
123 protocols using rna nano chip
RNA Sequencing Workflow for Brain Tissue
In Vitro Transcription of eGFP mRNA
High-throughput RNA Sequencing of Gene Expression
Parathyroid Tumor RNA Profiling
Isolation and Quality Assessment of Total RNA
Bovine Transcriptome Profiling via RNA-Seq
Strand-specific cDNA libraries were prepared with poly-A selection for each sample, checked with an Agilent TapeStation 4200 (Agilent Technologies), and validated with single dilution qPCR. Each library was sequenced using an Illumina HiSeq 3000 (Illumina, Inc., San Diego, CA, USA) with a 100 bp read length (single end). Pseudoalignment of each cDNA library to the Bos taurus reference genome (UMD3.1.1) [34 (link)] was completed using kallisto v. 0.42.4 [35 (link)] and converted to gene-level estimates through the tximport R package [36 (link)].
Microdissecting mPFC Tissue for RNA Isolation
Transcriptome analysis of P. patens SOG1 mutants
About 100 mg of protonema tissues were ground with liquid nitrogen, and total RNAs were extracted using RNeasy PowerPlant Kit (QIAGEN). The RNAs were treated with RNase‐Free DNase Set (QIAGEN), followed by column purification to remove genomic DNA contamination. RNA quality was checked using an RNA 6000 Bioanalyzer Kit and RNA Nano Chip (Agilent Technologies). For library preparation, mRNA was extracted from the total RNA, and libraries were prepared using a TruSeq Stranded mRNA LT Sample Kit (Illumina). The pooled libraries were sequenced on a NextSeq 500 (Illumina) to obtain the single‐end reads of 76 bp. The obtained reads were mapped to the P. patens reference genome (v.3.3). The count data were subjected to a trimmed mean of M‐value normalization in EdgeR (McCarthy et al., 2012 (link); Robinson et al., 2010 (link)).
RNA Quality and Quantity Assessment
Transcriptome Analysis of HepG2-NTCP Cells
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