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Kikuchi M, Viet J, Nagata K, Sato M, David G, Audic Y, Silverman MA, Yamamoto M, Akatsu H, Hashizume Y, Takeda S, Akamine S, Miyamoto T, Uozumi R, Gotoh S, Mori K, Ikeda M, Paillard L, Morihara T. Gene-gene functional relationships in Alzheimer's disease: CELF1 regulates KLC1 alternative splicing. Biochem Biophys Res Commun 2024; 721:150025. [PMID: 38768546 DOI: 10.1016/j.bbrc.2024.150025] [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: 02/19/2024] [Revised: 04/16/2024] [Accepted: 04/26/2024] [Indexed: 05/22/2024]
Abstract
The causes of Alzheimer's disease (AD) are poorly understood, although many genes are known to be involved in this pathology. To gain insights into the underlying molecular mechanisms, it is essential to identify the relationships between individual AD genes. Previous work has shown that the splice variant E of KLC1 (KLC1_vE) promotes AD, and that the CELF1 gene, which encodes an RNA-binding protein involved in splicing regulation, is at a risk locus for AD. Here, we identified a functional link between CELF1 and KLC1 in AD pathogenesis. Transcriptomic data from human samples from different ethnic groups revealed that CELF1 mRNA levels are low in AD brains, and the splicing pattern of KLC1 is strongly correlated with CELF1 expression levels. Specifically, KLC1_vE is negatively correlated with CELF1. Depletion and overexpression experiments in cultured cells demonstrated that the CELF1 protein down-regulates KLC1_vE. In a cross-linking and immunoprecipitation sequencing (CLIP-seq) database, CELF1 directly binds to KLC1 RNA, following which it likely modulates terminal exon usage, hence KLC1_vE formation. These findings reveal a new pathogenic pathway where a risk allele of CELF1 is associated with reduced CELF1 expression, which up-regulates KLC1_vE to promote AD.
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Affiliation(s)
- Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Justine Viet
- Université de Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes), UMR 6290, F-35000, Rennes, France
| | - Kenichi Nagata
- Department of Functional Anatomy and Neuroscience, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Masahiro Sato
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Geraldine David
- Université de Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes), UMR 6290, F-35000, Rennes, France
| | - Yann Audic
- Université de Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes), UMR 6290, F-35000, Rennes, France
| | - Michael A Silverman
- Department of Biological Sciences, Centre for Cell Biology, Development, and Disease, Simon Fraser University, Burnaby, Canada
| | - Mitsuko Yamamoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Hiroyasu Akatsu
- Department of Community-based Medical Education, Graduate School of Medicine, Nagoya City University, Nagoya, Japan; Choju Medical/Neuropathological Institute, Fukushimura Hospital, Toyohashi, Japan
| | | | - Shuko Takeda
- Department of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Suita, Japan; Osaka Psychiatric Medical Center, Osaka Psychiatric Research Center, Hirakata, Japan
| | - Shoshin Akamine
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Tesshin Miyamoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Ryota Uozumi
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Shiho Gotoh
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Kohji Mori
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Luc Paillard
- Université de Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes), UMR 6290, F-35000, Rennes, France.
| | - Takashi Morihara
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Suita, Japan; Toyonaka Municipal Hospital, Toyonaka, Japan.
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Lindhout FW, Kooistra R, Portegies S, Herstel LJ, Stucchi R, Snoek BL, Altelaar AFM, MacGillavry HD, Wierenga CJ, Hoogenraad CC. Quantitative mapping of transcriptome and proteome dynamics during polarization of human iPSC-derived neurons. eLife 2020; 9:e58124. [PMID: 32940601 PMCID: PMC7498259 DOI: 10.7554/elife.58124] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 09/02/2020] [Indexed: 12/22/2022] Open
Abstract
The differentiation of neuronal stem cells into polarized neurons is a well-coordinated process which has mostly been studied in classical non-human model systems, but to what extent these findings are recapitulated in human neurons remains unclear. To study neuronal polarization in human neurons, we cultured hiPSC-derived neurons, characterized early developmental stages, measured electrophysiological responses, and systematically profiled transcriptomic and proteomic dynamics during these steps. The neuron transcriptome and proteome shows extensive remodeling, with differential expression profiles of ~1100 transcripts and ~2200 proteins during neuronal differentiation and polarization. We also identified a distinct axon developmental stage marked by the relocation of axon initial segment proteins and increased microtubule remodeling from the distal (stage 3a) to the proximal (stage 3b) axon. This developmental transition coincides with action potential maturation. Our comprehensive characterization and quantitative map of transcriptome and proteome dynamics provides a solid framework for studying polarization in human neurons.
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Affiliation(s)
- Feline W Lindhout
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Robbelien Kooistra
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Sybren Portegies
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Lotte J Herstel
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Riccardo Stucchi
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityUtrechtNetherlands
| | - Basten L Snoek
- Theoretical Biology and Bioinformatics, Utrecht UniversityUtrechtNetherlands
| | - AF Maarten Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityUtrechtNetherlands
| | - Harold D MacGillavry
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Corette J Wierenga
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
| | - Casper C Hoogenraad
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht UniversityUtrechtNetherlands
- Department of Neuroscience, Genentech, IncSan FranciscoUnited States
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Transcriptome analysis of distinct mouse strains reveals kinesin light chain-1 splicing as an amyloid-β accumulation modifier. Proc Natl Acad Sci U S A 2014; 111:2638-43. [PMID: 24497505 DOI: 10.1073/pnas.1307345111] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β (Aβ). The genes that govern this process, however, have remained elusive. To this end, we combined distinct mouse strains with transcriptomics to directly identify disease-relevant genes. We show that AD model mice (APP-Tg) with DBA/2 genetic backgrounds have significantly lower levels of Aβ accumulation compared with SJL and C57BL/6 mice. We then applied brain transcriptomics to reveal the genes in DBA/2 that suppress Aβ accumulation. To avoid detecting secondarily affected genes by Aβ, we used non-Tg mice in the absence of Aβ pathology and selected candidate genes differently expressed in DBA/2 mice. Additional transcriptome analysis of APP-Tg mice with mixed genetic backgrounds revealed kinesin light chain-1 (Klc1) as an Aβ modifier, indicating a role for intracellular trafficking in Aβ accumulation. Aβ levels correlated with the expression levels of Klc1 splice variant E and the genotype of Klc1 in these APP-Tg mice. In humans, the expression levels of KLC1 variant E in brain and lymphocyte were significantly higher in AD patients compared with unaffected individuals. Finally, functional analysis using neuroblastoma cells showed that overexpression or knockdown of KLC1 variant E increases or decreases the production of Aβ, respectively. The identification of KLC1 variant E suggests that the dysfunction of intracellular trafficking is a causative factor of Aβ pathology. This unique combination of distinct mouse strains and model mice with transcriptomics is expected to be useful for the study of genetic mechanisms of other complex diseases.
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