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Analysis of human brain tissue derived from DBS surgery |
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| Author: | Kangas, Salla M.1,2,3; Teppo, Jaakko4,5; Lahtinen, Maija J.2,6,7; |
| Organizations: |
1PEDEGO Research Unit, University of Oulu, Oulu, Finland 2Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland 3Biocenter Oulu, University of Oulu, Oulu, Finland
4Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
5Drug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland 6Neurosurgery, Research Unit of Clinical Neuroscience, Oulu University Hospital, University of Oulu, Oulu, Finland 7Oulu Research Group of Advanced Surgical Technologies and Physics (ORGASTP), Research Unit of Clinical Neuroscience, Oulu University Hospital, University of Oulu, Oulu, Finland 8Institute for Molecular Medicine Finland (FIMM), HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland 9Clinic for Children and Adolescents, Division of Pediatric Neurology, Oulu University Hospital, Oulu, Finland |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 2.5 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2022092860376 |
| Language: | English |
| Published: |
Springer Nature,
2022
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| Publish Date: | 2022-09-28 |
| Description: |
AbstractBackground: Transcriptomic and proteomic profiling of human brain tissue is hindered by the availability of fresh samples from living patients. Postmortem samples usually represent the advanced disease stage of the patient. Furthermore, the postmortem interval can affect the transcriptomic and proteomic profiles. Therefore, fresh brain tissue samples from living patients represent a valuable resource of metabolically intact tissue. Implantation of deep brain stimulation (DBS) electrodes into the human brain is a neurosurgical treatment for, e.g., movement disorders. Here, we describe an improved approach to collecting brain tissues from surgical instruments used in implantation of DBS device for transcriptomics and proteomics analyses. Methods: Samples were extracted from guide tubes and recording electrodes used in routine DBS implantation procedure to treat patients with Parkinson’s disease, genetic dystonia and tremor. RNA sequencing was performed in tissues extracted from the recording microelectrodes and liquid chromatography-mass spectrometry (LC-MS) performed in tissues from guide tubes. To assess the performance of the current approach, the obtained datasets were compared with previously published datasets representing brain tissues. Results: Altogether, 32,034 RNA transcripts representing the unique Ensembl gene identifiers were detected from eight samples representing both hemispheres of four patients. By using LC-MS, we identified 734 unique proteins from 31 samples collected from 14 patients. The datasets are available in the BioStudies database (accession number S-BSST667). Our results indicate that surgical instruments used in DBS installation retain brain material sufficient for protein and gene expression studies. Comparison with previously published datasets obtained with similar approach proved the robustness and reproducibility of the protocol. Conclusions: The instruments used during routine DBS surgery are a useful source for obtaining fresh brain tissues from living patients. This approach overcomes the issues that arise from using postmortem tissues, such as the effect of postmortem interval on transcriptomic and proteomic landscape of the brain, and can be used for studying molecular aspects of DBS-treatable diseases. see all
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| Series: |
Translational neurodegeneration |
| ISSN: | 2047-9158 |
| ISSN-E: | 2047-9158 |
| ISSN-L: | 2047-9158 |
| Volume: | 11 |
| Issue: | 1 |
| Article number: | 22 |
| DOI: | 10.1186/s40035-022-00297-y |
| OADOI: | https://oadoi.org/10.1186/s40035-022-00297-y |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
3112 Neurosciences 3124 Neurology and psychiatry |
| Subjects: | |
| Funding: |
This work was supported by the Academy of Finland (Decision Numbers #311934 R.H. [profiling programme] and #331436 J.U.), Pediatric Research Foundation, Finland (J.U. and R.H.), Biocenter Oulu (J.U. and R.H.), Biocenter Finland, Special State Grants for Health Research, Oulu University Hospital, Finland (J.U.) and the Terttu Foundation, Oulu University Hospital, Finland (J.K.). |
| Academy of Finland Grant Number: |
331436 |
| Detailed Information: |
331436 (Academy of Finland Funding decision) |
| Copyright information: |
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
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https://creativecommons.org/licenses/by/4.0/ |