Differential Expression and the Mouse Gut-Brain Axis

Overview

This module introduces students to differential expression analyses using the R programming language. Previous programming experience is helpful but not necessary. Students will work with real data from a mouse RNA-seq study to explore how the gut-brain axis might impact symptoms in Autism Spectrum Disorder.

There are two options for this module:

  1. a companion and expansion to the C-MOOR RNA-seq miniCURE. This module adds an additional RNA-seq dataset that is suitable for an independent research project.

  2. a standalone activity that fits into a single laboratory session.

Duration: miniCURE: Three lab periods; standalone activity: 1-2 hours (help us improve this estimate!)

Learning Objectives

  1. Explore differential expression data in mice.

  2. Identify genes that are differentially expressed in an RNA-seq dataset.

  3. (Optional) Formulate and test a hypothesis about differential expression of genes as a result of the gut-brain axis.

Prerequisites

Students will benefit from some understanding of the Central Dogma and genetically-based trait expression. They should be aware of mice as a model organism and be comfortable using online genomic databases. We suggest this activity could accompany lectures that discuss these topics.

This activity also requires plotting and an understanding of data visualization.

Evaluation

GEMs is an NIH-funded program. Part of our mission is understanding the impact of our materials. Please take the time to review our program as an instructor after this activity. We also appreciate you distributing our survey to students before and after they participate in GEMs content.

You can view our IRB approval here. Feel free to contact the GEMs team with any questions (gems at fredhutch dot org).

Materials

Student Activity

You can use this module in several formats. Feel free to adapt to your needs!

Students will need RStudio, data, and the R packages tidyverse.

This means students will need either:

  • An internet connection for this activity as written (using Posit Cloud)
  • A local installation of R or RStudio (with data downloaded and tidyverse package installed ahead of time)

Students can use any of the following datasets to compare gene expression:

Instructor Materials

A Google Slides presentation is available for borrowing images here.

Scientific Topics

The activity uses data from a published research study “Human Gut Microbiota from Autism Spectrum Disorder Induces Behavioral Deficits in Mice” [1]. Students will gain exposure to the following:

  • Differential expression: the process where different cells within an organism, even those with the same DNA, express different genes, with some genes being expressed or “turned on”, while others are “turned off”

  • Gut-brain axis: the proposed connection between the gut microbiome and gene expression in the brain

  • Autism Spectrum Disorder: a neurological disorder that affects behavioral and social interactions

  • Neurodevelopmental disorders: disorders that are the result of altered brain development (miniCURE only)

  • Neurodegenerative disorders: disorders that that occur when brain structures and systems experience degradation (miniCURE only)

  • Prefrontal cortex: the part of the brain that is primarily in charge of decision making, reasoning, personality, maintaining social appropriateness, and other complex behaviors that fall under the umbrella of executive functions

  • Striatum: the part of the brain involved in motor control and cognitive tasks like reward processing, decision-making, and social interactions

Outline for RNA-seq miniCURE Extension

  • Background and Setup

  • Developing a Hypothesis; Identifying Genes of Interest

  • Exploring Gene Expression Data

  • Analyzing Differential Expression Data

Outline for RNA-seq standalone activity

  • Background and Setup

  • Exploring Gene Expression Data

  • Analyzing Differential Expression Data

References

[1]
G. Sharon et al., “Human gut microbiota from autism spectrum disorder promote behavioral symptoms in mice,” Cell, vol. 177, no. 6, pp. 1600–1618, 2019, Available: https://pubmed.ncbi.nlm.nih.gov/31150625/