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Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link
BACKGROUND: Glioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new bi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249855/ https://www.ncbi.nlm.nih.gov/pubmed/30463513 http://dx.doi.org/10.1186/s12867-018-0115-6 |
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author | Lemée, Jean-Michel Clavreul, Anne Aubry, Marc Com, Emmanuelle de Tayrac, Marie Mosser, Jean Menei, Philippe |
author_facet | Lemée, Jean-Michel Clavreul, Anne Aubry, Marc Com, Emmanuelle de Tayrac, Marie Mosser, Jean Menei, Philippe |
author_sort | Lemée, Jean-Michel |
collection | PubMed |
description | BACKGROUND: Glioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new biological insights, and identify pathogenic mechanisms or therapeutic targets for GB therapy. We present a comparison of transcriptome and proteome data from five GB biopsies (TZ) vs their corresponding peritumoral brain zone (PBZ). Omic analyses were performed using RNA microarray chips and the isotope-coded protein label method (ICPL). RESULTS: As described in other cancers, we found a poor correlation between transcriptome and proteome data in GB. We observed only two commonly deregulated mRNAs/proteins (neurofilament light polypeptide and synapsin 1) and 12 altered biological processes; they are related to cell communication, synaptic transmission and nervous system processes. This poor correlation may be a consequence of the techniques used to produce the omic profiles, the intrinsic properties of mRNA and proteins and/or of cancer- or GB-specific phenomena. Of interest, the analysis of the transcription factor binding sites present upstream from the open reading frames of all altered proteins identified by ICPL method shows a common binding site for the topoisomerase I and p53-binding protein TOPORS. Its expression was observed in 7/11 TZ samples and not in PBZ. Some findings suggest that TOPORS may function as a tumor suppressor; its implication in gliomagenesis should be examined in future studies. CONCLUSIONS: In this study, we showed a low correlation between transcriptome and proteome data for GB samples as described in other cancer tissues. We observed that NEFL, SYN1 and 12 biological processes were deregulated in both the transcriptome and proteome data. It will be important to analyze more specifically these processes and these two proteins to allow the identification of new theranostic markers or potential therapeutic targets for GB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12867-018-0115-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6249855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62498552018-11-26 Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link Lemée, Jean-Michel Clavreul, Anne Aubry, Marc Com, Emmanuelle de Tayrac, Marie Mosser, Jean Menei, Philippe BMC Mol Biol Research Article BACKGROUND: Glioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new biological insights, and identify pathogenic mechanisms or therapeutic targets for GB therapy. We present a comparison of transcriptome and proteome data from five GB biopsies (TZ) vs their corresponding peritumoral brain zone (PBZ). Omic analyses were performed using RNA microarray chips and the isotope-coded protein label method (ICPL). RESULTS: As described in other cancers, we found a poor correlation between transcriptome and proteome data in GB. We observed only two commonly deregulated mRNAs/proteins (neurofilament light polypeptide and synapsin 1) and 12 altered biological processes; they are related to cell communication, synaptic transmission and nervous system processes. This poor correlation may be a consequence of the techniques used to produce the omic profiles, the intrinsic properties of mRNA and proteins and/or of cancer- or GB-specific phenomena. Of interest, the analysis of the transcription factor binding sites present upstream from the open reading frames of all altered proteins identified by ICPL method shows a common binding site for the topoisomerase I and p53-binding protein TOPORS. Its expression was observed in 7/11 TZ samples and not in PBZ. Some findings suggest that TOPORS may function as a tumor suppressor; its implication in gliomagenesis should be examined in future studies. CONCLUSIONS: In this study, we showed a low correlation between transcriptome and proteome data for GB samples as described in other cancer tissues. We observed that NEFL, SYN1 and 12 biological processes were deregulated in both the transcriptome and proteome data. It will be important to analyze more specifically these processes and these two proteins to allow the identification of new theranostic markers or potential therapeutic targets for GB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12867-018-0115-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-21 /pmc/articles/PMC6249855/ /pubmed/30463513 http://dx.doi.org/10.1186/s12867-018-0115-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lemée, Jean-Michel Clavreul, Anne Aubry, Marc Com, Emmanuelle de Tayrac, Marie Mosser, Jean Menei, Philippe Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title | Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title_full | Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title_fullStr | Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title_full_unstemmed | Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title_short | Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
title_sort | integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249855/ https://www.ncbi.nlm.nih.gov/pubmed/30463513 http://dx.doi.org/10.1186/s12867-018-0115-6 |
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