1
|
Mihajlović K, Ceddia G, Malod-Dognin N, Novak G, Kyriakis D, Skupin A, Pržulj N. Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease. Sci Rep 2024; 14:10983. [PMID: 38744869 PMCID: PMC11094121 DOI: 10.1038/s41598-024-61844-3] [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: 01/30/2024] [Accepted: 05/10/2024] [Indexed: 05/16/2024] Open
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder without a cure. The onset of PD symptoms corresponds to 50% loss of midbrain dopaminergic (mDA) neurons, limiting early-stage understanding of PD. To shed light on early PD development, we study time series scRNA-seq datasets of mDA neurons obtained from patient-derived induced pluripotent stem cell differentiation. We develop a new data integration method based on Non-negative Matrix Tri-Factorization that integrates these datasets with molecular interaction networks, producing condition-specific "gene embeddings". By mining these embeddings, we predict 193 PD-related genes that are largely supported (49.7%) in the literature and are specific to the investigated PINK1 mutation. Enrichment analysis in Kyoto Encyclopedia of Genes and Genomes pathways highlights 10 PD-related molecular mechanisms perturbed during early PD development. Finally, investigating the top 20 prioritized genes reveals 12 previously unrecognized genes associated with PD that represent interesting drug targets.
Collapse
Affiliation(s)
| | - Gaia Ceddia
- Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
| | | | - Gabriela Novak
- The Integrative Cell Signalling Group, Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Dimitrios Kyriakis
- The Integrative Cell Signalling Group, Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alexander Skupin
- The Integrative Cell Signalling Group, Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- University of California San Diego, La Jolla, CA, 92093, USA
| | - Nataša Pržulj
- Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain.
- Department of Computer Science, University College London, WC1E 6BT, London, UK.
- ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain.
| |
Collapse
|
2
|
Watzlawik JO, Fiesel FC, Fiorino G, Bustillos BA, Baninameh Z, Markham BN, Hou X, Hayes CS, Bredenberg JM, Kurchaba NW, Fričová D, Siuda J, Wszolek ZK, Noda S, Sato S, Hattori N, Prasad AA, Kirik D, Fox HS, Stauch KL, Goldberg MS, Springer W. Basal activity of PINK1 and PRKN in cell models and rodent brain. Autophagy 2024; 20:1147-1158. [PMID: 38041584 PMCID: PMC11135862 DOI: 10.1080/15548627.2023.2286414] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 11/15/2023] [Indexed: 12/03/2023] Open
Abstract
The ubiquitin kinase-ligase pair PINK1-PRKN recognizes and transiently labels damaged mitochondria with ubiquitin phosphorylated at Ser65 (p-S65-Ub) to mediate their selective degradation (mitophagy). Complete loss of PINK1 or PRKN function unequivocally leads to early-onset Parkinson disease, but it is debated whether impairments in mitophagy contribute to disease later in life. While the pathway has been extensively studied in cell culture upon acute and massive mitochondrial stress, basal levels of activation under endogenous conditions and especially in vivo in the brain remain undetermined. Using rodent samples, patient-derived cells, and isogenic neurons, we here identified age-dependent, brain region-, and cell type-specific effects and determined expression levels and extent of basal and maximal activation of PINK1 and PRKN. Our work highlights the importance of defining critical risk and therapeutically relevant levels of PINK1-PRKN signaling which will further improve diagnosis and prognosis and will lead to better stratification of patients for future clinical trials.
Collapse
Affiliation(s)
| | - Fabienne C. Fiesel
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience PhD Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Gabriella Fiorino
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience PhD Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | | | - Zahra Baninameh
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Xu Hou
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Caleb S. Hayes
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | | | - Joanna Siuda
- Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland
| | | | - Sachiko Noda
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigeto Sato
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Asheeta A. Prasad
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Deniz Kirik
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Howard S. Fox
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Kelly L. Stauch
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Matthew S. Goldberg
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Wolfdieter Springer
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience PhD Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| |
Collapse
|
3
|
Brandão-Teles C, Zuccoli GS, de Moraes Vrechi TA, Ramos-da-Silva L, Santos AVS, Crunfli F, Martins-de-Souza D. Induced-pluripotent stem cells and neuroproteomics as tools for studying neurodegeneration. Biochem Soc Trans 2024; 52:163-176. [PMID: 38288874 DOI: 10.1042/bst20230341] [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: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 02/29/2024]
Abstract
The investigation of neurodegenerative diseases advanced significantly with the advent of cell-reprogramming technology, leading to the creation of new models of human illness. These models, derived from induced pluripotent stem cells (iPSCs), facilitate the study of sporadic as well as hereditary diseases and provide a comprehensive understanding of the molecular mechanisms involved with neurodegeneration. Through proteomics, a quantitative tool capable of identifying thousands of proteins from small sample volumes, researchers have attempted to identify disease mechanisms by detecting differentially expressed proteins and proteoforms in disease models, biofluids, and postmortem brain tissue. The integration of these two technologies allows for the identification of novel pathological targets within the realm of neurodegenerative diseases. Here, we highlight studies from the past 5 years on the contributions of iPSCs within neuroproteomic investigations, which uncover the molecular mechanisms behind these illnesses.
Collapse
Affiliation(s)
- Caroline Brandão-Teles
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Giuliana S Zuccoli
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Talita Aparecida de Moraes Vrechi
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Lívia Ramos-da-Silva
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Aline Valéria Sousa Santos
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Fernanda Crunfli
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil
- Experimental Medicine Research Cluster (EMRC), University of Campinas, Campinas 13083-862, SP, Brazil
- Instituto Nacional de Biomarcadores em Neuropsiquiatria, Conselho Nacional de Desenvolvimento Científico e Tecnológico, São Paulo, Brazil
- INCT in Modelling Human Complex Diseases with 3D Platforms (Model3D)
- D'Or Institute for Research and Education (IDOR), São Paulo, Brazil
| |
Collapse
|
4
|
Manchinu MF, Pala M, Palmas MF, Diana MA, Maschio A, Etzi M, Pisanu A, Diana FI, Marongiu J, Mansueto S, Carboni E, Fusco G, De Simone A, Carta AR. Region-specific changes in gene expression are associated with cognitive deficits in the alpha-synuclein-induced model of Parkinson's disease: A transcriptomic profiling study. Exp Neurol 2024; 372:114651. [PMID: 38092188 DOI: 10.1016/j.expneurol.2023.114651] [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: 07/31/2023] [Revised: 11/29/2023] [Accepted: 12/09/2023] [Indexed: 12/17/2023]
Abstract
Mild cognitive impairment (MCI) is a common trait of Parkinson's disease (PD), often associated with early motor deficits, eventually evolving to PD with dementia in later disease stages. The neuropathological substrate of MCI is poorly understood, which weakens the development and administration of proper therapies. In an α-synuclein (αSyn)-based model of PD featuring early motor and cognitive impairments, we investigated the transcriptome profile of brain regions involved in PD with cognitive deficits, via a transcriptomic analysis based on RNA sequencing (RNA-seq) technology. Rats infused in the substantia nigra with human α-synuclein oligomers (H-SynOs) developed mild cognitive deficits after three months, as measured by the two-trial recognition test in a Y-maze and the novel object recognition test. RNA-seq analysis showed that 17,436 genes were expressed in the anterior cingulate cortex (ACC) and 17,216 genes in the hippocampus (HC). In the ACC, 51 genes were differentially expressed between vehicle and H-αSynOs treated samples, which showed N= 21 upregulated and N = 30 downregulated genes. In the HC, 104 genes were differentially expressed, the majority of them not overlapping with DEGs in the ACC, with N = 41 upregulated and N = 63 downregulated in H-αSynOs-treated samples. The Gene Ontology (GO) and the Kyoto Encyclopedia of Gene and Genomes (KEGG) analysis, followed by the protein-protein interaction (PPI) network inspection of DEGs, revealed that in the ACC most enriched terms were related with immune functions, specifically with antigen processing/presentation via the major histocompatibility complex (MHC) class II and phagocytosis via CD68, supporting a role for dysregulated immune responses in early PD cognitive dysfunction. Immunofluorescence analysis confirmed the decreased expression of CD68 within microglial cells. In contrast, the most significantly enriched terms in the HC were mainly involved in mitochondrial homeostasis, potassium voltage-gated channel, cytoskeleton and fiber organisation, suggesting that the gene expression in the neuronal population was mostly affected in this region in early disease stages. Altogether results show that H-αSynOs trigger a region-specific dysregulation of gene expression in ACC and HC, providing a pathological substrate for MCI associated with early PD.
Collapse
Affiliation(s)
| | - Mauro Pala
- National Research Council, Biomedical and Genetic Research Institute, 09040 Cagliari, Italy
| | | | - Maria Antonietta Diana
- National Research Council, Biomedical and Genetic Research Institute, 09040 Cagliari, Italy
| | - Andrea Maschio
- National Research Council, Biomedical and Genetic Research Institute, 09040 Cagliari, Italy
| | - Michela Etzi
- Department of Biomedical Sciences, University of Cagliari, 09040 Cagliari, Italy
| | - Augusta Pisanu
- National Research Council, Institute of Neuroscience, 09040 Cagliari, Italy
| | | | - Jacopo Marongiu
- Department of Biomedical Sciences, University of Cagliari, 09040 Cagliari, Italy
| | - Silvia Mansueto
- Department of Pharmacy, University of Naples "Federico II", 80131 Naples, Italy
| | - Ezio Carboni
- Department of Biomedical Sciences, University of Cagliari, 09040 Cagliari, Italy
| | - Giuliana Fusco
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Alfonso De Simone
- Department of Pharmacy, University of Naples "Federico II", 80131 Naples, Italy
| | - Anna R Carta
- Department of Biomedical Sciences, University of Cagliari, 09040 Cagliari, Italy.
| |
Collapse
|
5
|
Awuah WA, Ahluwalia A, Ghosh S, Roy S, Tan JK, Adebusoye FT, Ferreira T, Bharadwaj HR, Shet V, Kundu M, Yee ALW, Abdul-Rahman T, Atallah O. The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery. Eur J Med Res 2023; 28:529. [PMID: 37974227 PMCID: PMC10652629 DOI: 10.1186/s40001-023-01504-w] [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: 08/10/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes.
Collapse
Affiliation(s)
- Wireko Andrew Awuah
- Faculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine
| | | | - Shankaneel Ghosh
- Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India
| | - Sakshi Roy
- School of Medicine, Queen's University Belfast, Belfast, UK
| | | | | | - Tomas Ferreira
- Department of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Vallabh Shet
- Faculty of Medicine, Bangalore Medical College and Research Institute, Bangalore, Karnataka, India
| | - Mrinmoy Kundu
- Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India
| | | | - Toufik Abdul-Rahman
- Faculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine
| | - Oday Atallah
- Department of Neurosurgery, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| |
Collapse
|
6
|
O’Connor LM, O’Connor BA, Zeng J, Lo CH. Data Mining of Microarray Datasets in Translational Neuroscience. Brain Sci 2023; 13:1318. [PMID: 37759919 PMCID: PMC10527016 DOI: 10.3390/brainsci13091318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/04/2023] [Accepted: 09/10/2023] [Indexed: 09/29/2023] Open
Abstract
Data mining involves the computational analysis of a plethora of publicly available datasets to generate new hypotheses that can be further validated by experiments for the improved understanding of the pathogenesis of neurodegenerative diseases. Although the number of sequencing datasets is on the rise, microarray analysis conducted on diverse biological samples represent a large collection of datasets with multiple web-based programs that enable efficient and convenient data analysis. In this review, we first discuss the selection of biological samples associated with neurological disorders, and the possibility of a combination of datasets, from various types of samples, to conduct an integrated analysis in order to achieve a holistic understanding of the alterations in the examined biological system. We then summarize key approaches and studies that have made use of the data mining of microarray datasets to obtain insights into translational neuroscience applications, including biomarker discovery, therapeutic development, and the elucidation of the pathogenic mechanisms of neurodegenerative diseases. We further discuss the gap to be bridged between microarray and sequencing studies to improve the utilization and combination of different types of datasets, together with experimental validation, for more comprehensive analyses. We conclude by providing future perspectives on integrating multi-omics, to advance precision phenotyping and personalized medicine for neurodegenerative diseases.
Collapse
Affiliation(s)
- Lance M. O’Connor
- College of Biological Sciences, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Blake A. O’Connor
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA;
| | - Jialiu Zeng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore;
| | - Chih Hung Lo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore;
| |
Collapse
|
7
|
Ogi DA, Jin S. Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine. Cells 2023; 12:1442. [PMID: 37408278 DOI: 10.3390/cells12101442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 07/07/2023] Open
Abstract
Pluripotent stem cells are endless sources for in vitro engineering human tissues for regenerative medicine. Extensive studies have demonstrated that transcription factors are the key to stem cell lineage commitment and differentiation efficacy. As the transcription factor profile varies depending on the cell type, global transcriptome analysis through RNA sequencing (RNAseq) has been a powerful tool for measuring and characterizing the success of stem cell differentiation. RNAseq has been utilized to comprehend how gene expression changes as cells differentiate and provide a guide to inducing cellular differentiation based on promoting the expression of specific genes. It has also been utilized to determine the specific cell type. This review highlights RNAseq techniques, tools for RNAseq data interpretation, RNAseq data analytic methods and their utilities, and transcriptomics-enabled human stem cell differentiation. In addition, the review outlines the potential benefits of the transcriptomics-aided discovery of intrinsic factors influencing stem cell lineage commitment, transcriptomics applied to disease physiology studies using patients' induced pluripotent stem cell (iPSC)-derived cells for regenerative medicine, and the future outlook on the technology and its implementation.
Collapse
Affiliation(s)
- Derek A Ogi
- Department of Biomedical Engineering, Thomas J. Watson College of Engineering and Applied Sciences, State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Sha Jin
- Department of Biomedical Engineering, Thomas J. Watson College of Engineering and Applied Sciences, State University of New York at Binghamton, Binghamton, NY 13902, USA
- Center of Biomanufacturing for Regenerative Medicine, State University of New York at Binghamton, Binghamton, NY 13902, USA
| |
Collapse
|
8
|
Novak G, Finkbeiner S, Skibinski G, Bernini M, Donato C, Skupin A. Generation of two human induced pluripotent stem cell lines from fibroblasts of Parkinson’s disease patients carrying the ILE368ASN mutation in PINK1 (LCSBi002) and the R275W mutation in Parkin (LCSBi004). Stem Cell Res 2022; 61:102765. [PMID: 35378365 DOI: 10.1016/j.scr.2022.102765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 03/19/2022] [Accepted: 03/26/2022] [Indexed: 10/18/2022] Open
Abstract
Mutations in PINK1 and Parkin are two of the main causes of recessive early-onset Parkinson's disease (PD). We generated human induced pluripotent stem cells (hiPSCs) from fibroblasts of a 64-year-old male patient with a homozygous ILE368ASN mutation in PINK1, who experienced disease onset at 33 years, and from fibroblasts of a 61-year-old female patient heterozygous for the R275W mutation in Parkin, who experienced disease onset at 44 years. Array comparative genomic hybridization (aCGH) determined genotypic variation in each line. The cell lines were successfully used to generate midbrain dopaminergic neurons, the neuron type primarily affected in PD.
Collapse
|