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Ortega-Pinazo J, Pacheco-Rodríguez MJ, Serrano-Castro PJ, Martínez B, Pinto-Medel MJ, Gómez-Zumaquero JM, Lago-Sampedro A, García-Díaz B, Estivill-Torrús G, Emilio Ferro Gallego P. Comparing RNA extraction methods to face the variations in RNA quality using two human biological matrices. Mol Biol Rep 2023; 50:9263-9271. [PMID: 37812354 DOI: 10.1007/s11033-023-08761-2] [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: 12/27/2022] [Accepted: 08/16/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Nucleic acids, RNA among them, are widely used in biomedicine and Biotechnology. Because of their susceptibility to degradation by RNases, the handling and extraction process of RNA from cells and tissues require specialized personnel and standardized methods to guarantee high purity and integrity. Due to the diversity of techniques found in the market, a comparative study between different RNA extraction methods is useful to facilitate the best choice for the researcher or in research service platforms such as biobanks to see the traceability of the samples. METHODS AND RESULTS In this study, we have compared seven different RNA extraction methods: manual (TRIzol™), semiautomated (QIAGEN™, Bio-Rad, Monarch®, and Canvax™), and fully automated (QIAcube™ and Maxwell®) processes, from two biological matrices: human Jurkat T cells and peripheral blood mononuclear cells (PBMC). Results showed marked differences in the RNA quality and functionality according to the method employed for RNA extraction and the matrix used. DISCUSSION QIAcube™ and semi-automated extraction methods were perceived as the best options because of their lower variability, good functionality, and lower cost (P < 0.001). These data contribute to facilitating researchers or research service platforms (Biobanks) in decision-making practices and emphasize the relevance of the selection of the RNA extraction method in each experimental procedure or traceability study to guarantee both quality standards and its reproducibility.
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Affiliation(s)
- J Ortega-Pinazo
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - M J Pacheco-Rodríguez
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - P J Serrano-Castro
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - B Martínez
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Intercentros de Oncología Médica, Hospitales Universitarios Regional de Málaga y Virgen de la Victoria, Málaga, Spain
| | - M J Pinto-Medel
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - J M Gómez-Zumaquero
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - A Lago-Sampedro
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - B García-Díaz
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Guillermo Estivill-Torrús
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain.
| | - Pedro Emilio Ferro Gallego
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Biobank ECAI, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Unidad Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
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RNA Extraction from Cartilage: Issues, Methods, Tips. Int J Mol Sci 2023; 24:ijms24032120. [PMID: 36768444 PMCID: PMC9917073 DOI: 10.3390/ijms24032120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/07/2023] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
The increase in degenerative diseases involving articular cartilage has pushed research to focus on their pathogenesis and treatment, exploiting increasingly complex techniques. Gene expression analyses from tissue are representative of the in vivo situation, but the protocols to be applied to obtain a reliable analysis are not completely cleared through customs. Thus, RNA extraction from fresh samples and specifically from musculoskeletal tissue such as cartilage is still a challenging issue. The aim of the review is to provide an overview of the techniques described in the literature for RNA extraction, highlighting limits and possibilities. The research retrieved 65 papers suitable for the purposes. The results highlighted the great difficulty in comparing the different studies, both for the sources of tissue used and for the techniques employed, as well as the details about protocols. Few papers compared different RNA extraction methods or homogenization techniques; the case study reported by authors about RNA extraction from sheep cartilage has not found an analog in the literature, confirming the existence of a relevant blank on studies about RNA extraction from cartilage tissue. However, the state of the art depicted can be used as a starting point to improve and expand studies on this topic.
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Method for the Isolation of "RNA-seq-Quality" RNA from Human Intervertebral Discs after Mortar and Pestle Homogenization. Cells 2022; 11:cells11223578. [PMID: 36429007 PMCID: PMC9688557 DOI: 10.3390/cells11223578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/07/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
The problem of isolating high-quality total RNA from intervertebral discs has no recognized solution yet. This is due to the extremely low content of live cells in the samples and the voluminous intercellular matrix. A variety of published protocols focused on isolating RNA from articular cartilage have recommended the use of expensive equipment, enzymatic matrix cleavage, or cell culture. In our study, we used a combination of the traditional QIAzol protocol (Qiagen, Germany) and RNEasy column purification (Qiagen, Germany) to obtain high-quality RNA from post-surgical intervertebral disc fragments. Only a mortar and a pestle were used for grinding, making our method particularly accessible. The isolated RNA with a RIN of ~7 is suitable for studying the expression profile of chondrocytes in situ. RNA-seq analysis of three samples demonstrated cell type ratios to be mostly relevant to intervertebral disc tissues, with over 70% of the chondrocytes of the three subtypes having an admixture of blood-related cells.
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Cui X, Xu J, Ji Y, Song X, Wang J, Zhang L, Yang S, Ye Y. Effects of forkhead box protein M1 on trophoblast invasion and its role in preeclampsia development. Exp Ther Med 2018; 16:197-203. [PMID: 29896240 PMCID: PMC5995065 DOI: 10.3892/etm.2018.6195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 01/03/2018] [Indexed: 12/13/2022] Open
Abstract
The present study aimed to investigate the expression of the forkhead box protein M1 (FOXM1) in the placenta of patients with preeclampsia, and its effect on trophoblasts. A total of 28 patients with preeclampsia and 30 patients without preeclampsia (controls) who underwent cesarean section and were admitted to the Affiliated Hospital of Qingdao University between June 2013 and September 2016 were enrolled in the present study. The expression of FOXM1 in placental tissues was examined by reverse transcription-quantitative polymerase chain reaction, western blotting and immunohistochemistry. HTR8/SVneo cells were used to measure the in vitro expression of the vascular endothelial growth factor (VEGF). The results demonstrated that FOXM1 expression was downregulated in the placental tissues of patient with preeclampsia (P<0.05). Following the silencing of FOXM1 expression, the proliferation of HTR8/SVneo cells was suppressed. The results of flow cytometry demonstrated that proportion of HTR8/SVneo cells in the G0/G1 phase and the proportion of apoptotic cells increased. The expression of the apoptosis regulator BCL-2, as well as the expression of VEGF mRNA and protein expression were also downregulated following FOXM1 silencing. FOXM1 may therefore promote the development of preeclampsia via the VEGF signaling pathway.
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Affiliation(s)
- Xuena Cui
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Jin'e Xu
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Yuzhi Ji
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Xiuhong Song
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Junhuan Wang
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Lijuan Zhang
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Shengmei Yang
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
| | - Yuanhua Ye
- Department of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China
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