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GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery
Several atlasing efforts aim to profile human gene and protein expression across tissues, cell types and cell lines in normal physiology, development and disease. One utility of these resources is to examine the expression of a single gene across all cell types, tissues and cell lines in each atlas....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320068/ https://www.ncbi.nlm.nih.gov/pubmed/37166966 http://dx.doi.org/10.1093/nar/gkad399 |
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author | Marino, Giacomo B Ngai, Michael Clarke, Daniel J B Fleishman, Reid H Deng, Eden Z Xie, Zhuorui Ahmed, Nasheath Ma’ayan, Avi |
author_facet | Marino, Giacomo B Ngai, Michael Clarke, Daniel J B Fleishman, Reid H Deng, Eden Z Xie, Zhuorui Ahmed, Nasheath Ma’ayan, Avi |
author_sort | Marino, Giacomo B |
collection | PubMed |
description | Several atlasing efforts aim to profile human gene and protein expression across tissues, cell types and cell lines in normal physiology, development and disease. One utility of these resources is to examine the expression of a single gene across all cell types, tissues and cell lines in each atlas. However, there is currently no centralized place that integrates data from several atlases to provide this type of data in a uniform format for visualization, analysis and download, and via an application programming interface. To address this need, GeneRanger is a web server that provides access to processed data about gene and protein expression across normal human cell types, tissues and cell lines from several atlases. At the same time, TargetRanger is a related web server that takes as input RNA-seq data from profiled human cells and tissues, and then compares the uploaded input data to expression levels across the atlases to identify genes that are highly expressed in the input and lowly expressed across normal human cell types and tissues. Identified targets can be filtered by transmembrane or secreted proteins. The results from GeneRanger and TargetRanger are visualized as box and scatter plots, and as interactive tables. GeneRanger and TargetRanger are available from https://generanger.maayanlab.cloud and https://targetranger.maayanlab.cloud, respectively. |
format | Online Article Text |
id | pubmed-10320068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103200682023-07-06 GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery Marino, Giacomo B Ngai, Michael Clarke, Daniel J B Fleishman, Reid H Deng, Eden Z Xie, Zhuorui Ahmed, Nasheath Ma’ayan, Avi Nucleic Acids Res Web Server Issue Several atlasing efforts aim to profile human gene and protein expression across tissues, cell types and cell lines in normal physiology, development and disease. One utility of these resources is to examine the expression of a single gene across all cell types, tissues and cell lines in each atlas. However, there is currently no centralized place that integrates data from several atlases to provide this type of data in a uniform format for visualization, analysis and download, and via an application programming interface. To address this need, GeneRanger is a web server that provides access to processed data about gene and protein expression across normal human cell types, tissues and cell lines from several atlases. At the same time, TargetRanger is a related web server that takes as input RNA-seq data from profiled human cells and tissues, and then compares the uploaded input data to expression levels across the atlases to identify genes that are highly expressed in the input and lowly expressed across normal human cell types and tissues. Identified targets can be filtered by transmembrane or secreted proteins. The results from GeneRanger and TargetRanger are visualized as box and scatter plots, and as interactive tables. GeneRanger and TargetRanger are available from https://generanger.maayanlab.cloud and https://targetranger.maayanlab.cloud, respectively. Oxford University Press 2023-05-11 /pmc/articles/PMC10320068/ /pubmed/37166966 http://dx.doi.org/10.1093/nar/gkad399 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Web Server Issue Marino, Giacomo B Ngai, Michael Clarke, Daniel J B Fleishman, Reid H Deng, Eden Z Xie, Zhuorui Ahmed, Nasheath Ma’ayan, Avi GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title | GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title_full | GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title_fullStr | GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title_full_unstemmed | GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title_short | GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery |
title_sort | generanger and targetranger: processed gene and protein expression levels across cells and tissues for target discovery |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320068/ https://www.ncbi.nlm.nih.gov/pubmed/37166966 http://dx.doi.org/10.1093/nar/gkad399 |
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