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Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison
RNA-sequencing and quantitative proteomic profiling simultaneously measure thousands of molecules and provide opportunities to decipher the transcriptomic and proteomic landscapes of cohort specimens for basic and health research. We present a protocol for the analysis of paired transcriptome and pr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133752/ https://www.ncbi.nlm.nih.gov/pubmed/35634361 http://dx.doi.org/10.1016/j.xpro.2022.101283 |
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author | Yang, Kevin C. Gorski, Sharon M. |
author_facet | Yang, Kevin C. Gorski, Sharon M. |
author_sort | Yang, Kevin C. |
collection | PubMed |
description | RNA-sequencing and quantitative proteomic profiling simultaneously measure thousands of molecules and provide opportunities to decipher the transcriptomic and proteomic landscapes of cohort specimens for basic and health research. We present a protocol for the analysis of paired transcriptome and proteome data to identify and compare molecular subgroups among cohort specimens. We demonstrate a streamlined analysis workflow, applicable for both transcriptome and proteome data, which allows the comparison of two data types for RNA-protein variations and for derivation of biological implications. For complete details on the use and execution of this protocol, please refer to Yang et al. (2021). |
format | Online Article Text |
id | pubmed-9133752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91337522022-05-27 Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison Yang, Kevin C. Gorski, Sharon M. STAR Protoc Protocol RNA-sequencing and quantitative proteomic profiling simultaneously measure thousands of molecules and provide opportunities to decipher the transcriptomic and proteomic landscapes of cohort specimens for basic and health research. We present a protocol for the analysis of paired transcriptome and proteome data to identify and compare molecular subgroups among cohort specimens. We demonstrate a streamlined analysis workflow, applicable for both transcriptome and proteome data, which allows the comparison of two data types for RNA-protein variations and for derivation of biological implications. For complete details on the use and execution of this protocol, please refer to Yang et al. (2021). Elsevier 2022-05-23 /pmc/articles/PMC9133752/ /pubmed/35634361 http://dx.doi.org/10.1016/j.xpro.2022.101283 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Yang, Kevin C. Gorski, Sharon M. Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title | Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title_full | Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title_fullStr | Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title_full_unstemmed | Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title_short | Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison |
title_sort | protocol for analysis of rna-sequencing and proteome profiling data for subgroup identification and comparison |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133752/ https://www.ncbi.nlm.nih.gov/pubmed/35634361 http://dx.doi.org/10.1016/j.xpro.2022.101283 |
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