1
|
Weber RZ, Bernardoni D, Rentsch NH, Buil BA, Halliday S, Augath MA, Razansky D, Tackenberg C, Rust R. Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods. Data Brief 2024; 53:110188. [PMID: 38406243 PMCID: PMC10885712 DOI: 10.1016/j.dib.2024.110188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 02/27/2024] Open
Abstract
This dataset offers images of mouse brains impacted by photothrombotic stroke in the sensorimotor cortex published by Weber et al. NeuroImage (2024). Data is gathered using two primary techniques: (1) whole-brain ex-vivo magnetic resonance imaging (MRI) and (2) 40 µm thick coronal histological sections that undergo immunofluorescence staining with NeuroTrace. Infarct areas and volumes are assessed through MRI at two distinct time frames-three days (acute) and 28 days (chronic) following photothrombotic stroke induction. Subsequently, the brains are sectioned into 40 µm thick coronal slices, stained with NeuroTrace, and imaged as whole sections. The dataset holds considerable value for reuse, particularly for researchers focused on stroke volume estimation methods as well as those interested in comparing the efficacy of MRI and histological techniques.
Collapse
Affiliation(s)
- Rebecca Z. Weber
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Davide Bernardoni
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Nora H. Rentsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Beatriz Achón Buil
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Stefanie Halliday
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
| | - Mark-Aurel Augath
- Faculty of Medicine, Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8052, Switzerland
- Department of Information Technology and Electrical Engineering, Institute for Biomedical Engineering, ETH Zurich, Zurich 8093, Switzerland
| | - Daniel Razansky
- Faculty of Medicine, Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8052, Switzerland
- Department of Information Technology and Electrical Engineering, Institute for Biomedical Engineering, ETH Zurich, Zurich 8093, Switzerland
| | - Christian Tackenberg
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Ruslan Rust
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90089, United States
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, 1501 San Pablo St., Los Angeles, CA 900893, United States
| |
Collapse
|
2
|
Achón Buil B, Rentsch NH, Weber RZ, Rickenbach C, Halliday SJ, Hotta A, Tackenberg C, Rust R. Beneath the radar: immune-evasive cell sources for stroke therapy. Trends Mol Med 2024; 30:223-238. [PMID: 38272713 DOI: 10.1016/j.molmed.2023.12.004] [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: 10/16/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/27/2024]
Abstract
Stem cell therapy is an emerging treatment paradigm for stroke patients with remaining neurological deficits. While allogeneic cell transplants overcome the manufacturing constraints of autologous grafts, they can be rejected by the recipient's immune system, which identifies foreign cells through the human leukocyte antigen (HLA) system. The heterogeneity of HLA molecules in the human population would require a very high number of cell lines, which may still be inadequate for patients with rare genetic HLAs. Here, we outline key progress in genetic HLA engineering in pluripotent stem and derived cells to evade the host's immune system, reducing the number of allogeneic cell lines required, and examine safety measures explored in both preclinical studies and upcoming clinical trials.
Collapse
Affiliation(s)
- Beatriz Achón Buil
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Nora H Rentsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Rebecca Z Weber
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Chiara Rickenbach
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Stefanie J Halliday
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Akitsu Hotta
- Center for iPS cell Research and Application, Kyoto University, Kyoto, Japan
| | - Christian Tackenberg
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Ruslan Rust
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA, USA; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, 1501 San Pablo St, Los Angeles, CA, USA.
| |
Collapse
|
3
|
Weber RZ, Bernardoni D, Rentsch NH, Buil BA, Halliday S, Augath MA, Razansky D, Tackenberg C, Rust R. A toolkit for stroke infarct volume estimation in rodents. Neuroimage 2024; 287:120518. [PMID: 38219841 DOI: 10.1016/j.neuroimage.2024.120518] [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: 10/09/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/16/2024] Open
Abstract
Stroke volume is a key determinant of infarct severity and an important metric for evaluating treatments. However, accurate estimation of stroke volume can be challenging, due to the often confined 2-dimensional nature of available data. Here, we introduce a comprehensive semi-automated toolkit to reliably estimate stroke volumes based on (1) whole brains ex-vivo magnetic resonance imaging (MRI) and (2) brain sections that underwent immunofluorescence staining. We located and quantified infarct areas from MRI three days (acute) and 28 days (chronic) after photothrombotic stroke induction in whole mouse brains. MRI results were compared with measures obtained from immunofluorescent histologic sections of the same brains. We found that infarct volume determined by post-mortem MRI was highly correlated with a deviation of only 6.6 % (acute) and 4.9 % (chronic) to the measurements as determined in the histological brain sections indicating that both methods are capable of accurately assessing brain tissue damage (Pearson r > 0.9, p < 0.001). The Dice similarity coefficient (DC) showed a high degree of coherence (DC > 0.8) between MRI-delineated regions of interest (ROIs) and ROIs obtained from histologic sections at four to six pre-defined landmarks, with histology-based delineation demonstrating higher inter-operator similarity compared to MR images. We further investigated stroke-related scarring and post-ischemic angiogenesis in cortical peri‑infarct regions and described a negative correlation between GFAP+fluorescence intensity and MRI-obtained lesion size.
Collapse
Affiliation(s)
- Rebecca Z Weber
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Davide Bernardoni
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Nora H Rentsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Beatriz Achón Buil
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Stefanie Halliday
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
| | - Mark-Aurel Augath
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich 8052, Switzerland; Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich 8093, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich 8052, Switzerland; Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich 8093, Switzerland
| | - Christian Tackenberg
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Ruslan Rust
- Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90089, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, 1501 San Pablo St., Los Angeles, CA 900893, United States.
| |
Collapse
|