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

被引:0
|
作者
Huang, Xiang [1 ]
Kumarage, Pubudu [1 ]
Sandoval, Soraya [1 ,2 ]
Zhao, Xinyu [1 ,3 ]
Wang, Daifeng [1 ,4 ,5 ]
机构
[1] Univ Wisconsin Madison, Waisman Ctr, Madison, WI 53705 USA
[2] Univ Wisconsin Madison, Neurosci Training Program, Madison, WI 53705 USA
[3] Univ Wisconsin Madison, Dept Neurosci, Madison, WI 53705 USA
[4] Univ Wisconsin Madison, Dept Biostat & Med Informat, Madison, WI 53705 USA
[5] Univ Wisconsin Madison, Dept Comp Sci, Madison, WI 53706 USA
来源
STAR PROTOCOLS | 2024年 / 5卷 / 04期
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
REVEAL;
D O I
10.1016/j.xpro.2024.103375
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.1 1
引用
收藏
页数:18
相关论文
共 50 条
  • [41] A NETWORK-BASED ANALYSIS OF COLON CANCER INVASIVENESS USING GENE EXPRESSION DATA
    Jung, Hee Chan
    Choi, Seong Ji
    Kim, Eun Sun
    Kim, Woojung
    Min, Geeho
    Lee, Jung Min
    Lee, Jae Min
    Kim, Seung Han
    Choi, Hyuk Soon
    Keum, Bora
    Jeen, Yoon Tae
    Lee, Hongsik
    Chun, Hoon Jai
    Kim, Chang Duck
    Han, Sung Won
    GASTROENTEROLOGY, 2018, 154 (06) : S279 - S279
  • [42] Analysis of Grapevine Gene Expression Data using Node-Based Resilience Clustering
    Dale, Jeffrey
    Matta, John
    Howard, Susanne
    Ercal, Gunes
    Qiu, Wenping
    Obafemi-Ajayi, Tayo
    2018 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB), 2018, : 26 - 33
  • [43] NGS-SWIFT: A cloud-based variant analysis framework using control-accessed sequencing data from dbGaP/SRA
    Xiao, Chunlin
    Yaschenko, Eugene
    Sherry, Stephen
    CANCER RESEARCH, 2016, 76
  • [44] STAGEs: A web-based tool that integrates data visualization and pathway enrichment analysis for gene expression studies
    Koh, Clara W. T.
    Ooi, Justin S. G.
    Ong, Eugenia Ziying
    Chan, Kuan Rong
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [45] STAGEs: A web-based tool that integrates data visualization and pathway enrichment analysis for gene expression studies
    Clara W. T. Koh
    Justin S. G. Ooi
    Eugenia Ziying Ong
    Kuan Rong Chan
    Scientific Reports, 13
  • [46] A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
    Corradi, Luca
    Fato, Marco
    Porro, Ivan
    Scaglione, Silvia
    Torterolo, Livia
    BMC BIOINFORMATICS, 2008, 9 (1)
  • [47] A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
    Luca Corradi
    Marco Fato
    Ivan Porro
    Silvia Scaglione
    Livia Torterolo
    BMC Bioinformatics, 9
  • [48] MAGNET: A web-based application for gene set enrichment analysis using macrophage data sets
    Chen, Shang-Yang
    Gadhvi, Gaurav
    Winter, Deborah R.
    PLOS ONE, 2023, 18 (01):
  • [49] Comparative analysis of gene expression and DNA copy number data for pancreatic and breast cancers using an orthogonal decomposition
    Berger, JA
    Hautaniemi, S
    Mitra, SK
    2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS, 2004, : 584 - 585
  • [50] Algal Functional Annotation Tool: a web-based analysis suite to functionally interpret large gene lists using integrated annotation and expression data
    Lopez, David
    Casero, David
    Cokus, Shawn J.
    Merchant, Sabeeha S.
    Pellegrini, Matteo
    BMC BIOINFORMATICS, 2011, 12