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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...

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Autores principales: Lemée, Jean-Michel, Clavreul, Anne, Aubry, Marc, Com, Emmanuelle, de Tayrac, Marie, Mosser, Jean, Menei, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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.
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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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