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Backes C, Leidinger P, Altmann G, Wuerstle M, Meder B, Galata V, Mueller SC, Sickert D, Stähler C, Meese E, Keller A. Influence of next-generation sequencing and storage conditions on miRNA patterns generated from PAXgene blood. Anal Chem 2015. [PMID: 26207298 DOI: 10.1021/acs.analchem.5b02043] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Whole blood derived miRNA signatures determined by Next-Generation Sequencing (NGS) offer themselves as future minimally invasive biomarkers for various human diseases. The PAXgene system is a commonly used blood storage system for miRNA analysis. Central to all miRNA analyses that aim to identify disease specific miRNA signatures, is the question of stability and variability of the miRNA profiles that are generated by NGS. We characterized the influence of five different conditions on the genome wide miRNA expression pattern of human blood isolated in PAXgene RNA tubes. In detail, we analyzed 15 miRNomes from three individuals. The blood was subjected to different numbers of freeze/thaw cycles and analyzed for the influence of storage at -80 or 8 °C. We also determined the influence of blood collection and NGS preparations on the miRNA pattern isolated from a single individual, which has been sequenced 10 times. Here, five PAXGene tubes were consecutively collected that have been split in two replicates, representing two experimental batches. All samples were analyzed by Illumina NGS. For each sample, approximately 20 million NGS reads have been generated. Hierarchical clustering and Principal Component Analysis (PCA) showed an influence of the different conditions on the miRNA patterns. The effects of the different conditions on miRNA abundance are, however, smaller than the differences that are due to interindividual variability. We also found evidence for an influence of the NGS measurement on the miRNA pattern. Specifically, hsa-miR-1271-5p and hsa-miR-182-5p showed coefficients of variation above 100% indicating a strong influence of the NGS protocol on the abundance of these miRNAs.
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Affiliation(s)
- Christina Backes
- Chair for Clinical Bioinformatics, Saarland University , 66123 Saarbrücken, Germany
| | - Petra Leidinger
- Institute of Human Genetics, Saarland University , D-66424 Homburg, Germany
| | | | | | - Benjamin Meder
- Internal Medicine II, University Hospital Heidelberg , 69120 Heidelberg, Germany
| | - Valentina Galata
- Chair for Clinical Bioinformatics, Saarland University , 66123 Saarbrücken, Germany
| | - Sabine C Mueller
- Chair for Clinical Bioinformatics, Saarland University , 66123 Saarbrücken, Germany
| | | | | | - Eckart Meese
- Institute of Human Genetics, Saarland University , D-66424 Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University , 66123 Saarbrücken, Germany
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Abstract
miRNAs are major regulators of gene expression that are emerging as central players in the development of many human diseases, including diabetes mellitus. In fact, the manifestation of diabetes is associated with alterations in the miRNA profile in insulin-secreting cells, insulin target tissues and, in case of long-term diabetes complications, in many additional organs. Diabetes also results in changes in the profile of miRNAs detectable in blood and other body fluids. This has boosted an ever increasing interest in the use of circulating miRNAs as potential biomarkers to predict the development of diabetes and its devastating complications. Moreover, promising approaches to correct the level of selected miRNAs are emerging, permitting to envisage new therapeutic strategies to treat diabetes and its complications.
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Affiliation(s)
- Imène Henaoui
- a Department of Fundamental Neurosciences, University of Lausanne, Rue du Bugnon 9, Lausanne, 1005 Switzerland
| | - Lisa Stoll
- a Department of Fundamental Neurosciences, University of Lausanne, Rue du Bugnon 9, Lausanne, 1005 Switzerland
| | - Ksenia Tugay
- a Department of Fundamental Neurosciences, University of Lausanne, Rue du Bugnon 9, Lausanne, 1005 Switzerland
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Keller A, Leidinger P, Vogel B, Backes C, ElSharawy A, Galata V, Mueller SC, Marquart S, Schrauder MG, Strick R, Bauer A, Wischhusen J, Beier M, Kohlhaas J, Katus HA, Hoheisel J, Franke A, Meder B, Meese E. miRNAs can be generally associated with human pathologies as exemplified for miR-144. BMC Med 2014; 12:224. [PMID: 25465851 PMCID: PMC4268797 DOI: 10.1186/s12916-014-0224-0] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 11/04/2014] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND miRNA profiles are promising biomarker candidates for a manifold of human pathologies, opening new avenues for diagnosis and prognosis. Beyond studies that describe miRNAs frequently as markers for specific traits, we asked whether a general pattern for miRNAs across many diseases exists. METHODS We evaluated genome-wide circulating profiles of 1,049 patients suffering from 19 different cancer and non-cancer diseases as well as unaffected controls. The results were validated on 319 individuals using qRT-PCR. RESULTS We discovered 34 miRNAs with strong disease association. Among those, we found substantially decreased levels of hsa-miR-144* and hsa-miR-20b with AUC of 0.751 (95% CI: 0.703-0.799), respectively. We also discovered a set of miRNAs, including hsa-miR-155*, as rather stable markers, offering reasonable control miRNAs for future studies. The strong downregulation of hsa-miR-144* and the less variable pattern of hsa-miR-155* has been validated in a cohort of 319 samples in three different centers. Here, breast cancer as an additional disease phenotype not included in the screening phase has been included as the 20th trait. CONCLUSIONS Our study on 1,368 patients including 1,049 genome-wide miRNA profiles and 319 qRT-PCR validations further underscores the high potential of specific blood-borne miRNA patterns as molecular biomarkers. Importantly, we highlight 34 miRNAs that are generally dysregulated in human pathologies. Although these markers are not specific to certain diseases they may add to the diagnosis in combination with other markers, building a specific signature. Besides these dysregulated miRNAs, we propose a set of constant miRNAs that may be used as control markers.
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Affiliation(s)
- Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
| | - Petra Leidinger
- Institute of Human Genetics, Saarland University, Homburg, Germany.
| | - Britta Vogel
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany.
| | - Christina Backes
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
| | - Abdou ElSharawy
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Kiel, Germany.
| | - Valentina Galata
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
| | - Sabine C Mueller
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
| | - Sabine Marquart
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany.
| | - Michael G Schrauder
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
| | - Reiner Strick
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
| | - Andrea Bauer
- German Cancer Research Center, Heidelberg, Germany.
| | | | - Markus Beier
- Comprehensive Biomarker Center, Heidelberg, Germany.
| | | | - Hugo A Katus
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany.
- German Center for Cardiovascular Research - DZHK, Germany, Heidelberg.
| | | | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Kiel, Germany.
| | - Benjamin Meder
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany.
- German Center for Cardiovascular Research - DZHK, Germany, Heidelberg.
| | - Eckart Meese
- Institute of Human Genetics, Saarland University, Homburg, Germany.
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Deregulated microRNA expression in biospecimens from patients diagnosed with schizophrenia and bipolar disorder as a disease biomarker. Transl Neurosci 2014. [DOI: 10.2478/s13380-014-0224-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AbstractThe biological markers for schizophrenia (SZ) and bipolar disorder (BD) would represent a precious tool in evaluating the risk for the development of these common neuropsychiatric diseases and, possibly, in the prevention of either disease episodes and/or treatment efficiency monitoring. Since both SZ and BD are diseases with a significant genetic component, the research over the last decades has focused on the genes with altered function in the central nervous system (CNS) of individuals suffering from these illnesses. Recently, however, small non-coding RNA molecules (microRNAs, miRNAs, miRs) were shown to regulate the expression of human CNS genes involved in cell processes and functions negatively affected in neuropsychiatric disorders, including synaptic development and maturation, learning and memory. Differentially expressed sets of miRNAs have been reported in the tissues of SZ and BD patients in comparison to controls suggesting the emergence of a novel class of potential biomarkers. Here we review the reports on the changes in miRNA expression in postmortem brain tissue and peripheral blood in SZ and BD. We also evaluate the potential of miRNA packaged in exosomes, signaling vesicles released by neurons and glia, to contribute to the disaggregation of the molecular machinery underlying mental disorders and provide clinically useful biomarkers.
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