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Vanova T, Sedmik J, Raska J, Amruz Cerna K, Taus P, Pospisilova V, Nezvedova M, Fedorova V, Kadakova S, Klimova H, Capandova M, Orviska P, Fojtik P, Bartova S, Plevova K, Spacil Z, Hribkova H, Bohaciakova D. Cerebral organoids derived from patients with Alzheimer's disease with PSEN1/2 mutations have defective tissue patterning and altered development. Cell Rep 2023; 42:113310. [PMID: 37864790 DOI: 10.1016/j.celrep.2023.113310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/09/2023] [Accepted: 10/04/2023] [Indexed: 10/23/2023] Open
Abstract
During the past two decades, induced pluripotent stem cells (iPSCs) have been widely used to study human neural development and disease. Especially in the field of Alzheimer's disease (AD), remarkable effort has been put into investigating molecular mechanisms behind this disease. Then, with the advent of 3D neuronal cultures and cerebral organoids (COs), several studies have demonstrated that this model can adequately mimic familial and sporadic AD. Therefore, we created an AD-CO model using iPSCs derived from patients with familial AD forms and explored early events and the progression of AD pathogenesis. Our study demonstrated that COs derived from three AD-iPSC lines with PSEN1(A246E) or PSEN2(N141I) mutations developed the AD-specific markers in vitro, yet they also uncover tissue patterning defects and altered development. These findings are complemented by single-cell sequencing data confirming this observation and uncovering that neurons in AD-COs likely differentiate prematurely.
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Affiliation(s)
- Tereza Vanova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Jiri Sedmik
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Jan Raska
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Katerina Amruz Cerna
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petr Taus
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic
| | - Veronika Pospisilova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Marketa Nezvedova
- RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
| | - Veronika Fedorova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Sona Kadakova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Hana Klimova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Michaela Capandova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petra Orviska
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petr Fojtik
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Simona Bartova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic; Institute of Medical Genetics and Genomics, University Hospital Brno and Faculty of Medicine, Masaryk University, 61300 Brno, Czech Republic
| | - Zdenek Spacil
- RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
| | - Hana Hribkova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Dasa Bohaciakova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic.
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Proteomic Analysis of Human Neural Stem Cell Differentiation by SWATH-MS. Methods Mol Biol 2022; 2520:335-360. [PMID: 35579839 DOI: 10.1007/7651_2022_462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The unique properties of stem cells to self-renew and differentiate hold great promise in disease modelling and regenerative medicine. However, more information about basic stem cell biology and thorough characterization of available stem cell lines is needed. This is especially essential to ensure safety before any possible clinical use of stem cells or partially committed cell lines. As proteins are the key effector molecules in the cell, the proteomic characterization of cell lines, cell compartments or cell secretome and microenvironment is highly beneficial to answer above mentioned questions. Nowadays, method of choice for large-scale discovery-based proteomic analysis is mass spectrometry (MS) with data-independent acquisition (DIA). DIA is a robust, highly reproducible, high-throughput quantitative MS approach that enables relative quantification of thousands of proteins in one sample. In the current protocol, we describe a specific variant of DIA known as SWATH-MS for characterization of neural stem cell differentiation. The protocol covers the whole process from cell culture, sample preparation for MS analysis, the SWATH-MS data acquisition on TTOF 5600, the complete SWATH-MS data processing and quality control using Skyline software and the basic statistical analysis in R and MSstats package. The protocol for SWATH-MS data acquisition and analysis can be easily adapted to other samples amenable to MS-based proteomics.
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