Protocol for comparative gene expression data analysis between brains and organoids using a cloud-based web app.

STAR Protoc

Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address:

Published: December 2024

AI Article Synopsis

  • The protocol introduces Brain and Organoid Manifold Alignment (BOMA), a web app designed for analyzing and comparing gene expression data from brains and organoids.
  • It outlines steps for aligning developmental gene expression data to identify similarities and differences using manifold learning techniques.
  • The app is suitable for both single-cell and bulk RNA sequencing, with further details available in the referenced study by He et al.

Article Abstract

Here, we present a protocol for using Brain and Organoid Manifold Alignment (BOMA), a cloud-based web app for comparative gene expression data analysis between brains and organoids. We describe steps for performing a global alignment of developmental gene expression data from both brains and organoids. We then detail procedures for investigating both shared and distinctive developmental pathways across brains and organoids by refining alignment locally using manifold learning. This protocol is applicable for working with single-cell and bulk RNA sequencing data. For complete details on the use and execution of this protocol, please refer to He et al..

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http://dx.doi.org/10.1016/j.xpro.2024.103375DOI Listing

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