Skip to content

yhhc2/Iso-seq_public

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NMDSeqR

Hank Cheng 2024-10-30

Installation and Usage

git clone https://github.com/yhhc2/Iso-seq_public.git

Detailed usage information will be added soon.

Introduction

This package takes in data from bulk-Isoseq processed with and without cycloheximide (CHX), a nonsense mediated decay inhibitor (NMDi), and identifies isoforms and genes that are differentially expressed and/or undergoing NMD.

Prior to using this package, the following data processing needs to be performed on bulk Isoseq data:

 

The package then takes the result from de novo isoform discovery and joint isoform calling to evaluate each isoform and gene in each individual to see if it is undergoing significant and unique functional effects:

  • 1. Nonsense mediated decay (NMD): isoforms/genes expressed higher with CHX compared to non-CHX.
  • 2. Expression outlier: differentially expressed (gain or loss of expression) isoforms/genes compared to control individuals.
  • 3. Allelic Imbalance: genes with haplotype-specific gain or loss of expression.

Statistical approach for ranking

Please refer to these slides for specifics on the ranking approach with examples:

Statistical approach slides with examples

If the presentation is not opening properly, please try using a different browser or using an incognito window.

Validating effects of CHX

To validate the effects of CHX, PCA was performed on the gene-level and isoform-level expression matrix for the 18 patients (36 samples) included in the analysis. The clusters are being formed based on CHX treatment, which supports the idea that sample variability is not enough to prevent us from pulling out findings that are a result of the CHX treatment.

Gene-Level

Isoform-Level

Shiny App Visualizations

Please visit this site to see an example of how to more interactively visualize the results: http://multiome.brotmanbaty.org/app_direct/multiome-browser/#

Acknowledgements

This package is developed during my time at the University of Washington as a Genome Sciences graduate student in the Stergachis Lab. Acknowledgements to:

  • Andrew Stergachis

  • Adriana Sedeno Cortes

  • Daniela Witten

  • More to be added soon

About

Scripts for exploring long-read transcript data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published