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LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions

Obesity (OB) is a metabolic disorder characterized by adipose tissue dysfunction that has emerged as a health problem of epidemic proportions in recent decades. OB is associated with multiple comorbidities, including some types of cancers. Specifically, prostate cancer (PCa) has been postulated as o...

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Autores principales: Pérez-Gómez, Jesús M., Porcel-Pastrana, Francisco, De La Luz-Borrero, Marina, Montero-Hidalgo, Antonio J., Gómez-Gómez, Enrique, Herrera-Martínez, Aura D., Guzmán-Ruiz, Rocío, Malagón, María M., Gahete, Manuel D., Luque, Raúl M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606769/
https://www.ncbi.nlm.nih.gov/pubmed/37894825
http://dx.doi.org/10.3390/ijms242015140
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author Pérez-Gómez, Jesús M.
Porcel-Pastrana, Francisco
De La Luz-Borrero, Marina
Montero-Hidalgo, Antonio J.
Gómez-Gómez, Enrique
Herrera-Martínez, Aura D.
Guzmán-Ruiz, Rocío
Malagón, María M.
Gahete, Manuel D.
Luque, Raúl M.
author_facet Pérez-Gómez, Jesús M.
Porcel-Pastrana, Francisco
De La Luz-Borrero, Marina
Montero-Hidalgo, Antonio J.
Gómez-Gómez, Enrique
Herrera-Martínez, Aura D.
Guzmán-Ruiz, Rocío
Malagón, María M.
Gahete, Manuel D.
Luque, Raúl M.
author_sort Pérez-Gómez, Jesús M.
collection PubMed
description Obesity (OB) is a metabolic disorder characterized by adipose tissue dysfunction that has emerged as a health problem of epidemic proportions in recent decades. OB is associated with multiple comorbidities, including some types of cancers. Specifically, prostate cancer (PCa) has been postulated as one of the tumors that could have a causal relationship with OB. Particularly, a specialized adipose tissue (AT) depot known as periprostatic adipose tissue (PPAT) has gained increasing attention over the last few years as it could be a key player in the pathophysiological interaction between PCa and OB. However, to date, no studies have defined the most appropriate internal reference genes (IRGs) to be used in gene expression studies in this AT depot. In this work, two independent cohorts of PPAT samples (n = 20/n = 48) were used to assess the validity of a battery of 15 literature-selected IRGs using two widely used techniques (reverse transcription quantitative PCR [RT-qPCR] and microfluidic-based qPCR array). For this purpose, ΔCt method, GeNorm (v3.5), BestKeeper (v1.0), NormFinder (v.20.0), and RefFinder software were employed to assess the overall trends of our analyses. LRP10, PGK1, and RPLP0 were identified as the best IRGs to be used for gene expression studies in human PPATs, specifically when considering PCa and OB conditions.
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spelling pubmed-106067692023-10-28 LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions Pérez-Gómez, Jesús M. Porcel-Pastrana, Francisco De La Luz-Borrero, Marina Montero-Hidalgo, Antonio J. Gómez-Gómez, Enrique Herrera-Martínez, Aura D. Guzmán-Ruiz, Rocío Malagón, María M. Gahete, Manuel D. Luque, Raúl M. Int J Mol Sci Article Obesity (OB) is a metabolic disorder characterized by adipose tissue dysfunction that has emerged as a health problem of epidemic proportions in recent decades. OB is associated with multiple comorbidities, including some types of cancers. Specifically, prostate cancer (PCa) has been postulated as one of the tumors that could have a causal relationship with OB. Particularly, a specialized adipose tissue (AT) depot known as periprostatic adipose tissue (PPAT) has gained increasing attention over the last few years as it could be a key player in the pathophysiological interaction between PCa and OB. However, to date, no studies have defined the most appropriate internal reference genes (IRGs) to be used in gene expression studies in this AT depot. In this work, two independent cohorts of PPAT samples (n = 20/n = 48) were used to assess the validity of a battery of 15 literature-selected IRGs using two widely used techniques (reverse transcription quantitative PCR [RT-qPCR] and microfluidic-based qPCR array). For this purpose, ΔCt method, GeNorm (v3.5), BestKeeper (v1.0), NormFinder (v.20.0), and RefFinder software were employed to assess the overall trends of our analyses. LRP10, PGK1, and RPLP0 were identified as the best IRGs to be used for gene expression studies in human PPATs, specifically when considering PCa and OB conditions. MDPI 2023-10-13 /pmc/articles/PMC10606769/ /pubmed/37894825 http://dx.doi.org/10.3390/ijms242015140 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez-Gómez, Jesús M.
Porcel-Pastrana, Francisco
De La Luz-Borrero, Marina
Montero-Hidalgo, Antonio J.
Gómez-Gómez, Enrique
Herrera-Martínez, Aura D.
Guzmán-Ruiz, Rocío
Malagón, María M.
Gahete, Manuel D.
Luque, Raúl M.
LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title_full LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title_fullStr LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title_full_unstemmed LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title_short LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions
title_sort lrp10, pgk1 and rplp0: best reference genes in periprostatic adipose tissue under obesity and prostate cancer conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606769/
https://www.ncbi.nlm.nih.gov/pubmed/37894825
http://dx.doi.org/10.3390/ijms242015140
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