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Yamamoto K, Chiba M. Examination and comparison of the RNA extraction methods using mouse serum. Biomed Rep 2024; 20:51. [PMID: 38357232 PMCID: PMC10865168 DOI: 10.3892/br.2024.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/19/2024] [Indexed: 02/16/2024] Open
Abstract
Serum microRNAs (miRNAs) are considered useful as non-invasive biomarkers for different diseases. However, the optimal method for extracting RNAs from serum is currently unknown. In the present study, several RNA extraction kits were used to examine the optimal kit. RNAs were extracted from the serum of 8-week-old C57BL/6NJcl male mice following the protocol of each RNA extraction kit. The yield of the extracted RNA samples was calculated, and an Agilent Bioanalyzer was used to assess the electrophoretic patterns. An Agilent mouse miRNA microarray was utilized to confirm the expression patterns of the extracted RNA samples. The results revealed significant differences in RNA yields from the miRNeasy Serum/Plasma Advanced kit and mirVana™ PARIS™ RNA and Native Protein Purification Kit compared with almost all other samples. Further, two peaks were determined in the miRNeasy Serum/Plasma Advanced kit using a small RNAs kit of Agilent Bioanalyzer, including one at 20-40 nucleotides (nt) and another at ~40-100 nt, whereas the other reagents had a single peak. This revealed that the extracted RNAs may differ in composition based on the RNA extraction method. Some types of miRNAs were only detected with certain RNA extraction reagents. This suggested that different RNA extraction reagents may cause differences in the types of miRNAs detected. On the other hand, the miRNAs commonly expressed by the three RNA extraction reagents are highly correlated in expression levels.
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Affiliation(s)
- Keisuke Yamamoto
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori 036-8564, Japan
| | - Mitsuru Chiba
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori 036-8564, Japan
- Research Center for Biomedical Sciences, Hirosaki University, Hirosaki, Aomori 036-8564, Japan
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Nenciarini S, Amoriello R, Bacci G, Cerasuolo B, Di Paola M, Nardini P, Papini A, Ballerini C, Cavalieri D. Yeast strains isolated from fermented beverage produce extracellular vesicles with anti-inflammatory effects. Sci Rep 2024; 14:730. [PMID: 38184708 PMCID: PMC10771474 DOI: 10.1038/s41598-024-51370-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/04/2024] [Indexed: 01/08/2024] Open
Abstract
Extracellular vesicles (EVs) are lipid-bilayered particles, containing various biomolecules, including nucleic acids, lipids, and proteins, released by cells from all the domains of life and performing multiple communication functions. Evidence suggests that the interaction between host immune cells and fungal EVs induces modulation of the immune system. Most of the studies on fungal EVs have been conducted in the context of fungal infections; therefore, there is a knowledge gap in what concerns the production of EVs by yeasts in other contexts rather than infection and that may affect human health. In this work, we characterized EVs obtained by Saccharomyces cerevisiae and Pichia fermentans strains isolated from a fermented milk product with probiotic properties. The immunomodulation abilities of EVs produced by these strains have been studied in vitro through immune assays after internalization from human monocyte-derived dendritic cells. Results showed a significant reduction in antigen presentation activity of dendritic cells treated with the fermented milk EVs. The small RNA fraction of EVs contained mainly yeast mRNA sequences, with a few molecular functions enriched in strains of two different species isolated from the fermented milk. Our results suggest that one of the mechanisms behind the anti-inflammatory properties of probiotic foods could be mediated by the interactions of human immune cells with yeast EVs.
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Affiliation(s)
| | - Roberta Amoriello
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Giovanni Bacci
- Department of Biology, University of Florence, Florence, Italy
| | | | - Monica Di Paola
- Department of Biology, University of Florence, Florence, Italy
| | - Patrizia Nardini
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Alessio Papini
- Department of Biology, University of Florence, Florence, Italy
| | - Clara Ballerini
- Department of Experimental and Clinical Medicine, University of Florence, Viale G. Pieraccini 6, 50139, Florence, Italy.
| | - Duccio Cavalieri
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino, Florence, Italy.
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Cross T, Haug KBF, Brusletto BS, Ommundsen SK, Trøseid AMS, Aspelin T, Olstad OK, Aass HCD, Galtung HK, Utheim TP, Jensen JL, Øvstebø R. Non-Coding RNA in Salivary Extracellular Vesicles: A New Frontier in Sjögren's Syndrome Diagnostics? Int J Mol Sci 2023; 24:13409. [PMID: 37686214 PMCID: PMC10488010 DOI: 10.3390/ijms241713409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Sjögren's syndrome is an autoimmune rheumatic disease characterized by inflammation of the salivary and lacrimal glands, often manifesting as dry mouth and dry eyes. To simplify diagnostics of primary Sjögren's syndrome (pSS), a non-invasive marker is needed. The aim of the study was to compare the RNA content of salivary extracellular vesicles (EVs) between patients with pSS and healthy controls using microarray technology. Stimulated whole saliva was collected from 11 pSS patients and 11 age-matched controls. EV-RNA was isolated from the saliva samples using a Qiagen exoRNeasy Midi Kit and analyzed using Affymetrix Clariom D™ microarrays. A one-way ANOVA test was used to compare the mean signal values of each transcript between the two groups. A total of 9307 transcripts, coding and non-coding RNA, were detected in all samples. Of these transcripts, 1475 showed statistically significant differential abundance between the pSS and the control groups, generating two distinct EV-RNA patterns. In particular, tRNAs were downregulated in pSS patients, with the transcript tRNA-Ile-AAT-2-1 showing a 2-fold difference, and a promise as a potential biomarker candidate. This study therein demonstrates the potential for using salivary EV-RNA in pSS diagnostics.
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Affiliation(s)
- Tanya Cross
- The Regenerative Medicine Unit, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Kari Bente Foss Haug
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Berit Sletbakk Brusletto
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Stine Kamilla Ommundsen
- The Regenerative Medicine Unit, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Anne-Marie Siebke Trøseid
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Trude Aspelin
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | - Ole Kristoffer Olstad
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
| | | | - Hilde Kanli Galtung
- Institute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway
| | - Tor Paaske Utheim
- The Regenerative Medicine Unit, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
- Institute of Oral Biology, Faculty of Dentistry, University of Oslo, 0372 Oslo, Norway
- Department of Plastic and Reconstructive Surgery, Oslo University Hospital, 0372 Oslo, Norway
- Department of Ophthalmology, Oslo University Hospital, 0450 Oslo, Norway
- Department of Ophthalmology, Sørlandet Hospital Arendal, 4838 Arendal, Norway
- Department of Ophthalmology, Vestre Viken Hospital Trust, 3004 Drammen, Norway
- The Norwegian Dry Eye Clinic, 0369 Oslo, Norway
| | - Janicke Liaaen Jensen
- Department of Oral Surgery and Oral Medicine, Faculty of Dentistry, University of Oslo, 0455 Oslo, Norway
| | - Reidun Øvstebø
- The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, Ullevål, 0450 Oslo, Norway
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Pantazi P, Clements T, Venø M, Abrahams VM, Holder B. Distinct non-coding RNA cargo of extracellular vesicles from M1 and M2 human primary macrophages. J Extracell Vesicles 2022; 11:e12293. [PMID: 36544271 PMCID: PMC9772496 DOI: 10.1002/jev2.12293] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 11/13/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Macrophages are important antigen presenting cells which can release extracellular vesicles (EVs) carrying functional cargo including non-coding RNAs. Macrophages can be broadly classified into M1 'classical' and M2 'alternatively-activated' macrophages. M1 macrophages have been linked with inflammation-associated pathologies, whereas a switch towards an M2 phenotype indicates resolution of inflammation and tissue regeneration. Here, we provide the first comprehensive analysis of the small RNA cargo of EVs from human M1 and M2 primary macrophages. Using small RNA sequencing, we identified several types of small non-coding RNAs in M1 and M2 macrophage EVs including miRNAs, isomiRs, tRNA fragments, piRNA, snRNA, snoRNA and Y-RNA fragments. Distinct differences were observed between M1 and M2 EVs, with higher relative abundance of miRNAs, and lower abundance of tRNA fragments in M1 compared to M2 EVs. MicroRNA-target enrichment analysis identified several gene targets involved in gene expression and inflammatory signalling pathways. EVs were also enriched in tRNA fragments, primarily originating from the 5' end or the internal region of the full length tRNAs, many of which were differentially abundant in M1 and M2 EVs. Similarly, several other small non-coding RNAs, namely snRNAs, snoRNAs and Y-RNA fragments, were differentially enriched in M1 and M2 EVs; we discuss their putative roles in macrophage EVs. In conclusion, we show that M1 and M2 macrophages release EVs with distinct RNA cargo, which has the potential to contribute to the unique effect of these cell subsets on their microenvironment.
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Affiliation(s)
- Paschalia Pantazi
- Institute of Reproductive and Developmental BiologyDepartment of Metabolism, Digestion, and ReproductionImperial College LondonLondonUK
| | - Toby Clements
- Institute of Reproductive and Developmental BiologyDepartment of Metabolism, Digestion, and ReproductionImperial College LondonLondonUK
| | | | - Vikki M. Abrahams
- Department of ObstetricsGynecology and Reproductive SciencesYale School of MedicineNew HavenConnecticutUSA
| | - Beth Holder
- Institute of Reproductive and Developmental BiologyDepartment of Metabolism, Digestion, and ReproductionImperial College LondonLondonUK
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Luo T, Chen SY, Qiu ZX, Miao YR, Ding Y, Pan XY, Li Y, Lei Q, Guo AY. Transcriptomic Features in a Single Extracellular Vesicle via Single-Cell RNA Sequencing. SMALL METHODS 2022; 6:e2200881. [PMID: 36068167 DOI: 10.1002/smtd.202200881] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/18/2022] [Indexed: 06/15/2023]
Abstract
Although many studies have investigated functional molecules in extracellular vesicles (EVs), the exact number of ribonucleic acid molecules in a single-EV is unknown. Therefore, it is critical to explore the transcriptomic features and heterogeneity at the level of a single-EV. Here, using the 10x Genomics platform, the RNA cargos are profiled in single EVs derived from human K562 and mesenchymal stem cells. The key steps are labeling intact EVs using calcein-AM, detecting the EV concentration via flow cytometry, and using the CB2 algorithm with adaptive thresholds to effectively distinguish real EVs from background. The gene number in a single-EV varied from 6 to 148, with a mean of 52. Ribosomal genes, mitochondrial genes, and eukaryotic translation elongation factor 1 alpha has a high EV percentage in all EV samples. Hemoglobin genes are uniquely highly expressed in K562-EVs, and cytoskeleton genes are enriched in MSC-EVs. Ten or more clusters with different marker genes in each single-EV dataset demonstrated EV heterogeneity. Moreover, integrating EVs and their parental cells reveal both EVs and cells in each cluster, indicating different cell origins of various EVs. To the best of the author's knowledge, this study provides the first high-throughput transcriptome at the single-EV level and improves the understanding of EVs.
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Affiliation(s)
- Tao Luo
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Center for Artificial Intelligence Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China
| | - Si-Yi Chen
- Center for Artificial Intelligence Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | | | - Ya-Ru Miao
- Center for Artificial Intelligence Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yue Ding
- Wuhan Biobank, Wuhan, 430000, China
| | | | - Yirong Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qian Lei
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - An-Yuan Guo
- Center for Artificial Intelligence Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
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Lionetti V. The Role of Exosomes in Health and Disease. Int J Mol Sci 2022; 23:ijms231911011. [PMID: 36232305 PMCID: PMC9569976 DOI: 10.3390/ijms231911011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/17/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Who would have thought that the discovery made by researchers at Washington University [...]
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Affiliation(s)
- Vincenzo Lionetti
- Unit of Translational Critical Care Medicine, Scuola Superiore Sant’Anna, 56127 Pisa, Italy;
- UOSVD Anesthesiology and Intensive Care Medicine, Fondazione Toscana “Gabriele Monasterio”, 56124 Pisa, Italy
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Diallo I, Ho J, Lalaouna D, Massé E, Provost P. RNA Sequencing Unveils Very Small RNAs With Potential Regulatory Functions in Bacteria. Front Mol Biosci 2022; 9:914991. [PMID: 35720117 PMCID: PMC9203972 DOI: 10.3389/fmolb.2022.914991] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 05/02/2022] [Indexed: 12/21/2022] Open
Abstract
RNA sequencing (RNA-seq) is the gold standard for the discovery of small non-coding RNAs. Following a long-standing approach, reads shorter than 16 nucleotides (nt) are removed from the small RNA sequencing libraries or datasets. The serendipitous discovery of an eukaryotic 12 nt-long RNA species capable of modulating the microRNA from which they derive prompted us to challenge this dogma and, by expanding the window of RNA sizes down to 8 nt, to confirm the existence of functional very small RNAs (vsRNAs <16 nt). Here we report the detailed profiling of vsRNAs in Escherichia coli, E. coli-derived outer membrane vesicles (OMVs) and five other bacterial strains (Pseudomonas aeruginosa PA7, P. aeruginosa PAO1, Salmonella enterica serovar Typhimurium 14028S, Legionella pneumophila JR32 Philadelphia-1 and Staphylococcus aureus HG001). vsRNAs of 8–15 nt in length [RNAs (8-15 nt)] were found to be more abundant than RNAs of 16–30 nt in length [RNAs (16–30 nt)]. vsRNA biotypes were distinct and varied within and across bacterial species and accounted for one third of reads identified in the 8–30 nt window. The tRNA-derived fragments (tRFs) have appeared as a major biotype among the vsRNAs, notably Ile-tRF and Ala-tRF, and were selectively loaded in OMVs. tRF-derived vsRNAs appear to be thermodynamically stable with at least 2 G-C basepairs and stem-loop structure. The analyzed tRF-derived vsRNAs are predicted to target several human host mRNAs with diverse functions. Bacterial vsRNAs and OMV-derived vsRNAs could be novel players likely modulating the intricate relationship between pathogens and their hosts.
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Affiliation(s)
- Idrissa Diallo
- CHU de Québec Research Center/CHUL Pavilion, Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Jeffrey Ho
- CHU de Québec Research Center/CHUL Pavilion, Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - David Lalaouna
- CRCHUS, RNA Group, Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Eric Massé
- CRCHUS, RNA Group, Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Patrick Provost
- CHU de Québec Research Center/CHUL Pavilion, Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
- *Correspondence: Patrick Provost,
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