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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...

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Detalles Bibliográficos
Autores principales: Yang, Kevin C., Gorski, Sharon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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).
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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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