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A transcriptome atlas and interactive analysis platform for autoimmune disease
With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235372/ https://www.ncbi.nlm.nih.gov/pubmed/35758882 http://dx.doi.org/10.1093/database/baac050 |
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author | Shen, Zhuoqiao Fang, Minghao Sun, Wujianan Tang, Meifang Liu, Nianping Zhu, Lin Liu, Qian Li, Bin Sun, Ruoming Shi, Yu Guo, Chuang Lin, Jun Qu, Kun |
author_facet | Shen, Zhuoqiao Fang, Minghao Sun, Wujianan Tang, Meifang Liu, Nianping Zhu, Lin Liu, Qian Li, Bin Sun, Ruoming Shi, Yu Guo, Chuang Lin, Jun Qu, Kun |
author_sort | Shen, Zhuoqiao |
collection | PubMed |
description | With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and autoimmune diseases. However, there is still a lack of a database that integrates the large amount of autoimmune disease transcriptome sequencing data and conducts effective analysis. In this study, we developed a user-friendly web database tool, Interactive Analysis and Atlas for Autoimmune disease (IAAA), which integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides customizable analysis modules, including gene expression, difference, correlation, similar gene detection and cell–cell interaction, and can display results in three formats (plot, table and pdf) through custom parameters. IAAA provides valuable data resources for researchers studying autoimmune diseases and helps users deeply explore the potential value of the current transcriptome data. IAAA is available. Database URL: http://galaxy.ustc.edu.cn/IAAA |
format | Online Article Text |
id | pubmed-9235372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92353722022-06-28 A transcriptome atlas and interactive analysis platform for autoimmune disease Shen, Zhuoqiao Fang, Minghao Sun, Wujianan Tang, Meifang Liu, Nianping Zhu, Lin Liu, Qian Li, Bin Sun, Ruoming Shi, Yu Guo, Chuang Lin, Jun Qu, Kun Database (Oxford) Original Article With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and autoimmune diseases. However, there is still a lack of a database that integrates the large amount of autoimmune disease transcriptome sequencing data and conducts effective analysis. In this study, we developed a user-friendly web database tool, Interactive Analysis and Atlas for Autoimmune disease (IAAA), which integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides customizable analysis modules, including gene expression, difference, correlation, similar gene detection and cell–cell interaction, and can display results in three formats (plot, table and pdf) through custom parameters. IAAA provides valuable data resources for researchers studying autoimmune diseases and helps users deeply explore the potential value of the current transcriptome data. IAAA is available. Database URL: http://galaxy.ustc.edu.cn/IAAA Oxford University Press 2022-06-27 /pmc/articles/PMC9235372/ /pubmed/35758882 http://dx.doi.org/10.1093/database/baac050 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Shen, Zhuoqiao Fang, Minghao Sun, Wujianan Tang, Meifang Liu, Nianping Zhu, Lin Liu, Qian Li, Bin Sun, Ruoming Shi, Yu Guo, Chuang Lin, Jun Qu, Kun A transcriptome atlas and interactive analysis platform for autoimmune disease |
title | A transcriptome atlas and interactive analysis platform for autoimmune disease |
title_full | A transcriptome atlas and interactive analysis platform for autoimmune disease |
title_fullStr | A transcriptome atlas and interactive analysis platform for autoimmune disease |
title_full_unstemmed | A transcriptome atlas and interactive analysis platform for autoimmune disease |
title_short | A transcriptome atlas and interactive analysis platform for autoimmune disease |
title_sort | transcriptome atlas and interactive analysis platform for autoimmune disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235372/ https://www.ncbi.nlm.nih.gov/pubmed/35758882 http://dx.doi.org/10.1093/database/baac050 |
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