RNA-Seq – Multimedia
App Note / Case Study
Molecular indexing for improved RNA-Seq analysis
Most modern methods for nucleic acid analysis require the use of enzyme processing, such as DNA polymerase reactions, in the sample preparation or measurement steps. Although necessary, these enzymatic steps introduce errors in the form of incorrect sequence and misrepresented copy number. NEXTflex™ qRNA-Seq™ Kit from Bioo Scientific adds no additional steps to the work flow, costs no more than a conventional library preparation kit and increases the precision of downstream analysis.
Poster
Polarized Cell Expansion and Heterochronic Shift in Angiosperm Spermatogenesis
This study evaluates genetic factors and common pathways in polarized cell-tip expansion.
Poster
Global Gene Expression Changes Induced In Primary Human Hepatocytes By Thiazolidinediones Upon Repeat Dosing of HepatoPac™ Cultures
An assessment of global gene expression changes in HepatoPac, a micropatterned co-culture of hepatocytes and stromal cells.
Poster
Gene expression analysis of CD14+ monocytes immunomagnetically separated directly from whole blood: adaptation of protocols towards clinical trial requirements
Peripheral blood is widely used as starting material for biomarker discovery and validation using molecular biology technologies. The vast majority of currently published transcriptome data is based on RNA derived either from stabilized whole blood or peripheral blood mononuclear cells (PBMCs). Here, gene expression profiling studies and SOPs for fast, easy and specific manual or automated isolation of monocytes directly from whole blood are being described.
Poster
Integrated In Silico Analysis of NGS Prostate Cancer Data via High-Resolution RNA-Seq Analysis
The goal: To get novel insights into the mechanisms of prostate adenocarcinoma by leveraging next generation sequencing (NGS) data, particularly human transcriptome data, through in silico data analysis and interpretation by Ingenuity’s IPA® software. CLC Genomics Workbench and CLC Genomics Server helped us assess short read RNA-Seq data.
Poster
Sequence-independent Selective Amplification of mRNAs over rRNAs
Standard mRNA amplifications for "All-Exon" microarrays and for bacterial RNAs are impossible with small samples and with degraded RNAs, because removal of rRNAs must precede universal, non-selective RNA amplification.
This pre-treatment with magnetic beads is cumbersome, requires high amounts of starting material, is not universal for all species and degraded RNAs are not suitable.
Poster
Combination of a transient assay based ChIP technology and transcriptome analyses for the exploration of potential transcription factor binding sites
1. Combination of protoplast transient expression system and Nickel resin based purification is an useful approach for chromatin enrichment that can be used to identify transcription factor’s potential target genes. 2.Comparison our ChIP-on-chip target genes with in vivo binding targets using two whole genome tiling array platforms showing high degree of overlap between two methods.
Poster
Computational analysis of high-throughputsmall RNA sequencing reveals microRNAs in a single-celled organism
We present evidence that miRNA precursors are present in the single-celled green alga Chlamydomonas reinhardtii and that they give rise to mature miRNAs that regulate target genes by post-transcriptional RNA cleavage.
Poster
PRIMe: Platform for RIKEN Metabolomics
We have developed a web-based database, "PRIMe (Platform for RIKEN Metabolomics)," which contains powerful tools for researchers to analyze gene co-expression data and mass spectral data. PRIMe has been developed with the main aim of facilitating integrated analysis for transcriptomics and metabolomics.
Poster
Towards Understanding of Ryegrass-Endophyte Symbiosis through Data Integration of Transcriptome and Metabolome
Combined with extensive bioinformatics analyses, our joint analysis of transcriptomics and metabolomics data has generated interesting findings which led to further laboratory verification, such as potential genes associated with alkaloid production.
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