1. Use the search bar to navigate to other genes
The IGV search bar accepts gene names or genomic coordinates. Type a gene symbol or region into the box and press Enter, and the browser will jump directly to your region of interest.
Explore the Epitranscriptome: Healthy Human Brain
Detect, visualize, and explore m6A, inosine, and RNA expression profiles generated with the EpiPlex™ Platform across key regions of the healthy human brain.
Use the interactive brain map below to open pre-configured IGV sessions and see region-specific epitranscriptomic patterns.
Interactive Brain Map
Hover over each region to see its label, and click to open a genome browser session with m6A, inosine, and RNA-seq tracks for that region.
- Hover to see which region you're exploring.
- Click a region to launch IGV with that region's data.
- Use IGV to zoom into genes or coordinates of interest.
2. Check the Y-axis scaling when you move to new genes
When you jump to a new region, coverage and modification tracks can span a wide dynamic range. If you don’t see clear pileups or peak shapes, try right-clicking on the track to adjust the data range or enable autoscaling.
Experimental Overview
This dataset profiles epitranscriptomic signatures in healthy human brain tissue and is designed as an interactive exploration tool.
- Sample type: Total RNA was extracted from pooled post-mortem healthy adult human brain tissue from male and female Caucasian donors and subject to poly(A) enrichment.
- Brain regions profiled: Frontal lobe, medulla oblongata, cerebellum, and thalamus.
- Cohort size: Frontal lobe (N=26, ages 16–75); Medulla (N=31, ages 21–70); Cerebellum (N=24, ages 16–70); Thalamus (N=22, ages 16–60).
- Method: Poly(A)-enriched RNA for each brain region was purchased from Takara Bio USA Inc. The EpiPlex™ RNA Mod Encoding Kit was then used to prepare m6A and inosine enriched cDNA libraries with paired RNAseq libraries. Sample libraries were then sequenced to a depth of approximately 25 million paired-end reads on an Illumina NextSeq 1000 using a P2 flowcell and reagent kit. Demultiplexed FASTQ files were then processed with AlidaBio's EpiScout™ pipeline for read alignment, peak-calling, and comparative analyses.
