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Nevone A, Lattarulo F, Russo M, Panno G, Milani P, Basset M, Avanzini MA, Merlini G, Palladini G, Nuvolone M. A Strategy for the Selection of RT-qPCR Reference Genes Based on Publicly Available Transcriptomic Datasets. Biomedicines 2023; 11:biomedicines11041079. [PMID: 37189697 DOI: 10.3390/biomedicines11041079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 04/05/2023] Open
Abstract
In the next-generation sequencing era, RT-qPCR is still widely employed to quantify levels of nucleic acids of interest due to its popularity, versatility, and limited costs. The measurement of transcriptional levels through RT-qPCR critically depends on reference genes used for normalization. Here, we devised a strategy to select appropriate reference genes for a specific clinical/experimental setting based on publicly available transcriptomic datasets and a pipeline for RT-qPCR assay design and validation. As a proof-of-principle, we applied this strategy to identify and validate reference genes for transcriptional studies of bone-marrow plasma cells from patients with AL amyloidosis. We performed a systematic review of published literature to compile a list of 163 candidate reference genes for RT-qPCR experiments employing human samples. Next, we interrogated the Gene Expression Omnibus to assess expression levels of these genes in published transcriptomic studies on bone-marrow plasma cells from patients with different plasma cell dyscrasias and identified the most stably expressed genes as candidate normalizing genes. Experimental validation on bone-marrow plasma cells showed the superiority of candidate reference genes identified through this strategy over commonly employed “housekeeping” genes. The strategy presented here may apply to other clinical and experimental settings for which publicly available transcriptomic datasets are available.
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Affiliation(s)
- Alice Nevone
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Francesca Lattarulo
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Monica Russo
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Giada Panno
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Paolo Milani
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Marco Basset
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Maria Antonietta Avanzini
- Pediatric Hematology Oncology, Cell Factory, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Giampaolo Merlini
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Giovanni Palladini
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Mario Nuvolone
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
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Ferrante L, Opdal SH, Nygaard V. No association to sudden infant death syndrome detected by targeted amplicon sequencing of 24 genes. Acta Paediatr 2020; 109:2636-2640. [PMID: 32271962 DOI: 10.1111/apa.15295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/27/2020] [Accepted: 03/31/2020] [Indexed: 11/28/2022]
Abstract
AIM The aim was to identify genetic variants associated with sudden infant death syndrome (SIDS) that can cause disease or introduce vulnerability. Genes reported in a previous SIDS study to have altered messenger ribonucleic acid (mRNA) expression in SIDS were investigated. METHODS Samples from 81 SIDS (56 male/28 female) with a median age of 4 months (range 0.75-9 months) were analysed using Illumina TruSeq custom amplicon for 24 selected genes. Samples were collected from autopsy at Oslo university hospital from children whom died suddenly and unexpectedly from 1988 to 2006. The controls were the germline variation database, Norgene (no description of cases available). RESULTS After filtering for rare variants, there were a total of 38 variants in the 81 SIDS cases and 462 variants in the 789 controls. After the filtration and curation steps, we found 36 rare variants. The overall occurrence of rare variants for all the SIDS samples was lower than for the Norgene population. CONCLUSION There was no association between rare variants in the included genes and SIDS. Although not statistically significant, two of the SIDS cases had a rare variant in the MyD88 gene: rs746651350, rs200424253.
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Affiliation(s)
- Linda Ferrante
- Department of Forensic Sciences Section of Forensic Pathology and Clinical Forensic Medicine Oslo of University Hospital Oslo Norway
| | - Siri H. Opdal
- Department of Forensic Sciences Section of Forensic Pathology and Clinical Forensic Medicine Oslo of University Hospital Oslo Norway
| | - Vegard Nygaard
- Department of Core Facilities Oslo University Hospital Oslo Norway
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Bustelo M, Bruno MA, Loidl CF, Rey-Funes M, Steinbusch HWM, Gavilanes AWD, van den Hove DLA. Statistical differences resulting from selection of stable reference genes after hypoxia and hypothermia in the neonatal rat brain. PLoS One 2020; 15:e0233387. [PMID: 32437382 PMCID: PMC7241816 DOI: 10.1371/journal.pone.0233387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 05/04/2020] [Indexed: 12/18/2022] Open
Abstract
Real-time reverse transcription PCR (qPCR) normalized to an internal reference gene (RG), is a frequently used method for quantifying gene expression changes in neuroscience. Although RG expression is assumed to be constant independent of physiological or experimental conditions, several studies have shown that commonly used RGs are not expressed stably. The use of unstable RGs has a profound effect on the conclusions drawn from studies on gene expression, and almost universally results in spurious estimation of target gene expression. Approaches aimed at selecting and validating RGs often make use of different statistical methods, which may lead to conflicting results. Based on published RG validation studies involving hypoxia the present study evaluates the expression of 5 candidate RGs (Actb, Pgk1, Sdha, Gapdh, Rnu6b) as a function of hypoxia exposure and hypothermic treatment in the neonatal rat cerebral cortex–in order to identify RGs that are stably expressed under these experimental conditions–using several statistical approaches that have been proposed to validate RGs. In doing so, we first analyzed RG ranking stability proposed by several widely used statistical methods and related tools, i.e. the Coefficient of Variation (CV) analysis, GeNorm, NormFinder, BestKeeper, and the ΔCt method. Using the Geometric mean rank, Pgk1 was identified as the most stable gene. Subsequently, we compared RG expression patterns between the various experimental groups. We found that these statistical methods, next to producing different rankings per se, all ranked RGs displaying significant differences in expression levels between groups as the most stable RG. As a consequence, when assessing the impact of RG selection on target gene expression quantification, substantial differences in target gene expression profiles were observed. Altogether, by assessing mRNA expression profiles within the neonatal rat brain cortex in hypoxia and hypothermia as a showcase, this study underlines the importance of further validating RGs for each individual experimental paradigm, considering the limitations of the statistical methods used for this aim.
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Affiliation(s)
- Martín Bustelo
- Department of Pediatrics, Maastricht University Medical Center (MUMC), Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Instituto de Ciencias Biomédicas, Facultad de Ciencias Médicas, Universidad Católica de Cuyo, San Juan, Argentina
- Laboratorio de Neuropatología Experimental, Instituto de Biología Celular y Neurociencia “Prof. E. De Robertis” (IBCN), Facultad de Medicina, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina
- * E-mail:
| | - Martín A. Bruno
- Instituto de Ciencias Biomédicas, Facultad de Ciencias Médicas, Universidad Católica de Cuyo, San Juan, Argentina
| | - César F. Loidl
- Instituto de Ciencias Biomédicas, Facultad de Ciencias Médicas, Universidad Católica de Cuyo, San Juan, Argentina
- Laboratorio de Neuropatología Experimental, Instituto de Biología Celular y Neurociencia “Prof. E. De Robertis” (IBCN), Facultad de Medicina, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina
| | - Manuel Rey-Funes
- Laboratorio de Neuropatología Experimental, Instituto de Biología Celular y Neurociencia “Prof. E. De Robertis” (IBCN), Facultad de Medicina, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina
| | - Harry W. M. Steinbusch
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
| | - Antonio W. D. Gavilanes
- Department of Pediatrics, Maastricht University Medical Center (MUMC), Maastricht, The Netherlands
- Instituto de Investigación e Innovación de Salud Integral, Facultad de Ciencias Médicas, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador
| | - D. L. A. van den Hove
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
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Courts C, Pfaffl MW, Sauer E, Parson W. Pleading for adherence to the MIQE-Guidelines when reporting quantitative PCR data in forensic genetic research. Forensic Sci Int Genet 2019; 42:e21-e24. [PMID: 31270013 DOI: 10.1016/j.fsigen.2019.06.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/25/2019] [Accepted: 06/25/2019] [Indexed: 01/13/2023]
Affiliation(s)
- Cornelius Courts
- University Hospital of Schleswig-Holstein, Institute of Forensic Medicine, Kiel, Germany.
| | - Michael W Pfaffl
- Technical University of Munich, Animal Physiology and Immunology, Freising, Germany
| | - Eva Sauer
- State Office of Criminal Investigation of Rhineland-Palatinate, Mainz, Germany
| | - Walther Parson
- Innsbruck Medical University, Institute of Legal Medicine, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, Pennsylvania, USA
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Born JPL, Matos HDC, de Araujo MA, Castro OW, Duzzioni M, Peixoto-Santos JE, Leite JP, Garcia-Cairasco N, Paçó-Larson ML, Gitaí DLG. Using Postmortem hippocampi tissue can interfere with differential gene expression analysis of the epileptogenic process. PLoS One 2017; 12:e0182765. [PMID: 28783762 PMCID: PMC5544225 DOI: 10.1371/journal.pone.0182765] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 07/24/2017] [Indexed: 12/21/2022] Open
Abstract
Neuropathological studies often use autopsy brain tissue as controls to evaluate changes in protein or RNA levels in several diseases. In mesial temporal lobe epilepsy (MTLE), several genes are up or down regulated throughout the epileptogenic and chronic stages of the disease. Given that postmortem changes in several gene transcripts could impact the detection of changes in case-control studies, we evaluated the effect of using autopsy specimens with different postmortem intervals (PMI) on differential gene expression of the Pilocarpine (PILO)induced Status Epilepticus (SE) of MTLE. For this, we selected six genes (Gfap, Ppia, Gad65, Gad67, Npy, and Tnf-α) whose expression patterns in the hippocampus of PILO-injected rats are well known. Initially, we compared hippocampal expression of naïve rats whose hippocampi were harvested immediately after death (0h-PMI) with those harvested at 6h postmortem interval (6h-PMI): Npy and Ppia transcripts increased and Tnf-α transcripts decreased in the 6h-PMI group (p<0.05). We then investigated if these PMI-related changes in gene expression have the potential to adulterate or mask RT-qPCR results obtained with PILO-injected rats euthanized at acute or chronic phases. In the acute group, Npy transcript was significantly higher when compared with 0h-PMI rats, whereas Ppia transcript was lower than 6h-PMI group. When we used epileptic rats (chronic group), the RT-qPCR results showed higher Tnf-α only when compared to 6h-PMI group. In conclusion, our study demonstrates that PMI influences gene transcription and can mask changes in gene transcription seen during epileptogenesis in the PILO-SE model. Thus, to avoid erroneous conclusions, we strongly recommend that researchers account for changes in postmortem gene expression in their experimental design.
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Affiliation(s)
- João Paulo Lopes Born
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
| | - Heloisa de Carvalho Matos
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
| | - Mykaella Andrade de Araujo
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
| | - Olagide Wagner Castro
- Department of Physiology and Pharmacology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
| | - Marcelo Duzzioni
- Department of Physiology and Pharmacology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
| | - José Eduardo Peixoto-Santos
- Division of Neurology, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - João Pereira Leite
- Division of Neurology, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Norberto Garcia-Cairasco
- Department of Physiology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Maria Luisa Paçó-Larson
- Department of Cellular and Molecular Biology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Daniel Leite Góes Gitaí
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceio, Alagoas, Brazil
- * E-mail:
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El-Kashef N, Gomes I, Mercer-Chalmers-Bender K, Schneider PM, Rothschild MA, Juebner M. Comparative proteome analysis for identification of differentially abundant proteins in SIDS. Int J Legal Med 2017; 131:1597-1613. [DOI: 10.1007/s00414-017-1632-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 07/04/2017] [Indexed: 12/01/2022]
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Guzzoni V, Marqueti RDC, Durigan JLQ, Faustino de Carvalho H, Lino RLB, Mekaro MS, Costa Santos TO, Mecawi AS, Rodrigues JA, Hord JM, Lawler JM, Davel AP, Selistre-de-Araújo HS. Reduced collagen accumulation and augmented MMP-2 activity in left ventricle of old rats submitted to high-intensity resistance training. J Appl Physiol (1985) 2017; 123:655-663. [PMID: 28684598 DOI: 10.1152/japplphysiol.01090.2016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 06/23/2017] [Accepted: 06/29/2017] [Indexed: 01/09/2023] Open
Abstract
Progressive fibrosis is a hallmark of the aging heart. Age-related fibrosis is modulated by endurance exercise training; however, little is known concerning the influence of resistance training (RT). Therefore we investigated the chronic effects of high-intensity RT on age-associated alterations of left ventricle (LV) structure, collagen content, matrix metalloproteinase-2 (MMP-2), and extracellular matrix-related gene expression, including transforming growth factor-β (TGF-β). Young adult (3 mo) and aged (21 mo) male Wistar rats were submitted to a RT protocol (ladder climbing with 65, 85, 95, and 100% load), three times a week for 12 wk. Forty-eight hours posttraining, arterial systolic and diastolic pressure, LV end-diastolic pressure (LVEDP) and dP/dt were recorded. LV morphology, collagen deposition, and gene expression of type I (COL-I) and type III (COL-III) collagen, MMP-2, tissue inhibitor of metalloproteinases-1 (TIMP-1), and TGF-β1 were analyzed by quantitative reverse transcriptase-PCR. MMP-2 content was assessed by zymography. Increased collagen deposition was observed in LV from aged rats. These parameters were modulated by RT and were associated with increased MMP-2 activity and decreased COL-I, TGF-β1, and TIMP-1 mRNA content. Despite the effect of RT on collagen accumulation, there was no improvement on LVEDP and maximal negative LV dP/dt of aged rats. Cardiomyocyte diameter was preserved in all experimental conditions. In conclusion, RT attenuated age-associated collagen accumulation, concomitant to the increase in MMP-2 activity and decreased expression of COL-I, TGF-β1, and TIMP-1 in LV, illustrating a cardioprotective effect of RT on ventricular structure and function.NEW & NOTEWORTHY We demonstrated the beneficial resistance-training effect against age-related left ventricle collagen accumulation in the left ventricle, which was associated with decreased type I collagen (COL-I), transforming growth factor-β1 (TGF-β1), and tissue inhibitor of metalloproteinases-1 (TIMP-1) gene expression and matrix metalloproteinase-2 (MMP-2) activity. Our findings suggest for the first time the potential effects of resistance training in modulating collagen accumulation and possibly fibrosis in the aging heart.
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Affiliation(s)
- Vinicius Guzzoni
- Department of Physiological Sciences, Federal University of São Carlos, São Carlos, Brazil;
| | | | | | | | | | - Marcelo S Mekaro
- Department of Physiological Sciences, Federal University of São Carlos, São Carlos, Brazil
| | | | - André Souza Mecawi
- Department of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil; and
| | - José Antunes Rodrigues
- Department of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil; and
| | - Jeffrey M Hord
- Department of Health & Kinesiology, Texas A&M University, College Station, Texas
| | - Jonh M Lawler
- Department of Health & Kinesiology, Texas A&M University, College Station, Texas
| | - Ana Paula Davel
- Institute of Biology, State University of Campinas, Campinas, Brazil
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Characterization of gene expression profiling of mouse tissues obtained during the postmortem interval. Exp Mol Pathol 2016; 100:482-92. [PMID: 27185020 DOI: 10.1016/j.yexmp.2016.05.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 05/13/2016] [Indexed: 12/27/2022]
Abstract
Attempts to establish a tissue bank from autopsy samples have led to uncovering of the secrets of many diseases. Here, we examined the length of time that the RNA from postmortem tissues is available for microarray analysis and reported the gene expression profile for up- and down-regulated genes during the postmortem interval. We extracted RNA from fresh-frozen (FF) and formalin-fixed paraffin-embedded (FFPE) brains and livers of three different groups of mice: 1) mice immediately after death, 2) mice that were stored at room temperature for 3h after death, and 3) mice that were stored at 4°C for 18h after death, as this storage resembles the human autopsy process in Japan. The RNA quality of the brain and the liver was maintained up to 18h during the postmortem interval. Based on the microarray analysis, we selected genes that were altered by >1.3-fold or <0.77-fold and classified these genes using hierarchical cluster analysis following DAVID gene ontology analysis. These studies revealed that cytoskeleton-related genes were enriched in the set of up-regulated genes, while serine protease inhibitors were enriched in the set of down-regulated genes. Interestingly, although the RNA quality was maintained due to high RNA integrity number (RIN) values, up-regulated genes were not validated by quantitative PCR, suggesting that these genes may become fragmented or modified by an unknown mechanism. Taken together, our findings suggest that under typical autopsy conditions, gene expression profiles that reflect disease pathology can be examined by understanding comprehensive recognition of postmortem fluctuation of gene expression.
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