1
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Zhao Y, Huang CX, Gu Y, Zhao Y, Ren W, Wang Y, Chen J, Guan NN, Song J. Serotonergic modulation of vigilance states in zebrafish and mice. Nat Commun 2024; 15:2596. [PMID: 38519480 PMCID: PMC10959952 DOI: 10.1038/s41467-024-47021-0] [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: 10/22/2023] [Accepted: 03/12/2024] [Indexed: 03/25/2024] Open
Abstract
Vigilance refers to being alertly watchful or paying sustained attention to avoid potential threats. Animals in vigilance states reduce locomotion and have an enhanced sensitivity to aversive stimuli so as to react quickly to dangers. Here we report that an unconventional 5-HT driven mechanism operating at neural circuit level which shapes the internal state underlying vigilance behavior in zebrafish and male mice. The neural signature of internal vigilance state was characterized by persistent low-frequency high-amplitude neuronal synchrony in zebrafish dorsal pallium and mice prefrontal cortex. The neuronal synchronization underlying vigilance was dependent on intense release of 5-HT induced by persistent activation of either DRN 5-HT neuron or local 5-HT axon terminals in related brain regions via activation of 5-HTR7. Thus, we identify a mechanism of vigilance behavior across species that illustrates the interplay between neuromodulators and neural circuits necessary to shape behavior states.
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Affiliation(s)
- Yang Zhao
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Chun-Xiao Huang
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Yiming Gu
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Yacong Zhao
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Wenjie Ren
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Yutong Wang
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Jinjin Chen
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China
| | - Na N Guan
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China.
- Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China.
- Department of Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
| | - Jianren Song
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
- Clinical Center for Brain and Spinal Cord Research, Tongji University, 200092, Shanghai, China.
- Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China.
- Department of Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
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2
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Li Y, Yu S, Jia X, Qiu X, He J. Defining morphologically and genetically distinct GABAergic/cholinergic amacrine cell subtypes in the vertebrate retina. PLoS Biol 2024; 22:e3002506. [PMID: 38363811 PMCID: PMC10914270 DOI: 10.1371/journal.pbio.3002506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 03/05/2024] [Accepted: 01/18/2024] [Indexed: 02/18/2024] Open
Abstract
In mammals, retinal direction selectivity originates from GABAergic/cholinergic amacrine cells (ACs) specifically expressing the sox2 gene. However, the cellular diversity of GABAergic/cholinergic ACs of other vertebrate species remains largely unexplored. Here, we identified 2 morphologically and genetically distinct GABAergic/cholinergic AC types in zebrafish, a previously undescribed bhlhe22+ type and a mammalian counterpart sox2+ type. Notably, while sole sox2 disruption removed sox2+ type, the codisruption of bhlhe22 and bhlhe23 was required to remove bhlhe22+ type. Also, both types significantly differed in dendritic arbors, lamination, and soma position. Furthermore, in vivo two-photon calcium imaging and the behavior assay suggested the direction selectivity of both AC types. Nevertheless, the 2 types showed preferential responses to moving bars of different sizes. Thus, our findings provide new cellular diversity and functional characteristics of GABAergic/cholinergic ACs in the vertebrate retina.
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Affiliation(s)
- Yan Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shuguang Yu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinling Jia
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Xiaoying Qiu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jie He
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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3
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Weiner AMJ, Irijalba I, Gallego MP, Ibarburu I, Sainz L, Goñi-de-Cerio F, Quevedo C, Muriana A. Validation of a zebrafish developmental defects assay as a qualified alternative test for its regulatory use following the ICH S5(R3) guideline. Reprod Toxicol 2024; 123:108513. [PMID: 38016617 DOI: 10.1016/j.reprotox.2023.108513] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/08/2023] [Accepted: 11/18/2023] [Indexed: 11/30/2023]
Abstract
Zebrafish is a popular toxicology model and provides an ethically acceptable small-scale analysis system with the complexity of a complete organism. Our goal is to further validate this model for its regulatory use for reproductive and developmental defects by testing the compounds indicated in the "Guideline on detection of reproductive and developmental toxicity for human pharmaceuticals" (ICH S5(R3) guideline.) To determine the embryotoxic and developmental risk of the 32 reference compounds listed in the ICH S5(R3) guideline, the presence of morphological alterations in zebrafish embryos was analyzed at two different stages to calculateLC50 and EC50 values for each stage. Teratogenic Indexes were established as the ratio between LC50 and EC50 critical for the proper compound classification as teratogenic when it is ≥ 2. A total of three biological replicates have been conducted to study the reproducibility of the assay. The chemicals' concentration in the medium and internally in the zebrafish embryos was evaluated. In this study, the 3 negative compounds were properly categorized while 23 compounds out of the 29 reference ones (sensitivity of 79.31%) were classified as teratogenic in zebrafish. The 6 that had false-negative results were classified 4 as inconclusive, 1 as not toxic, and 1 compound resulted toxic for zebrafish embryos under testing conditions. After the bioavailability experiments, some of the obtained inconclusive results were refined. The developmental defects assay in zebrafish gives an accuracy of 89.66%, sensitivity of 88.46%, specificity and repeatability of 100% compared to mammals; therefore, this is a well-integrated strategy using New Alternative Methods, to minimize the use of animals in developmental toxicity studies.
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Affiliation(s)
- A M J Weiner
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain.
| | - I Irijalba
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain
| | - M P Gallego
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain
| | - I Ibarburu
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain
| | - L Sainz
- GAIKER Technology Centre, Basque Research and Technology Alliance (BRTA), Zamudio, Spain
| | - F Goñi-de-Cerio
- GAIKER Technology Centre, Basque Research and Technology Alliance (BRTA), Zamudio, Spain
| | - C Quevedo
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain
| | - A Muriana
- BBD BioPhenix SLU (BIOBIDE), San Sebastian, Spain.
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4
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Nerli E, Kretzschmar J, Bianucci T, Rocha‐Martins M, Zechner C, Norden C. Deterministic and probabilistic fate decisions co-exist in a single retinal lineage. EMBO J 2023; 42:e112657. [PMID: 37184124 PMCID: PMC10350840 DOI: 10.15252/embj.2022112657] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 04/04/2023] [Accepted: 04/20/2023] [Indexed: 05/16/2023] Open
Abstract
Correct nervous system development depends on the timely differentiation of progenitor cells into neurons. While the output of progenitor differentiation is well investigated at the population and clonal level, how stereotypic or variable fate decisions are during development is still more elusive. To fill this gap, we here follow the fate outcome of single neurogenic progenitors in the zebrafish retina over time using live imaging. We find that neurogenic progenitor divisions produce two daughter cells, one of deterministic and one of probabilistic fate. Interference with the deterministic branch of the lineage affects lineage progression. In contrast, interference with fate probabilities of the probabilistic branch results in a broader range of fate possibilities than in wild-type and involves the production of any neuronal cell type even at non-canonical developmental stages. Combining the interference data with stochastic modelling of fate probabilities revealed that a simple gene regulatory network is able to predict the observed fate decision probabilities during wild-type development. These findings unveil unexpected lineage flexibility that could ensure robust development of the retina and other tissues.
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Affiliation(s)
- Elisa Nerli
- Instituto Gulbenkian de CiênciaOeirasPortugal
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
- Center for Systems Biology DresdenDresdenGermany
| | | | - Tommaso Bianucci
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
- Center for Systems Biology DresdenDresdenGermany
- Physics of Life, Cluster of ExcellenceTU DresdenDresdenGermany
| | - Mauricio Rocha‐Martins
- Instituto Gulbenkian de CiênciaOeirasPortugal
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
| | - Christoph Zechner
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
- Center for Systems Biology DresdenDresdenGermany
- Physics of Life, Cluster of ExcellenceTU DresdenDresdenGermany
| | - Caren Norden
- Instituto Gulbenkian de CiênciaOeirasPortugal
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
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5
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Li Y, Xu B, Jin M, Zhang H, Ren N, Hu J, He J. Homophilic interaction of cell adhesion molecule 3 coordinates retina neuroepithelial cell proliferation. J Cell Biol 2023; 222:e202204098. [PMID: 37022761 PMCID: PMC10082328 DOI: 10.1083/jcb.202204098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 01/07/2023] [Accepted: 03/07/2023] [Indexed: 04/07/2023] Open
Abstract
Correct cell number generation is central to tissue development. However, in vivo roles of coordinated proliferation of individual neural progenitors in regulating cell numbers of developing neural tissues and the underlying molecular mechanism remain mostly elusive. Here, we showed that wild-type (WT) donor retinal progenitor cells (RPCs) generated significantly expanded clones in host retinae with G1-lengthening by p15 (cdkn2a/b) overexpression (p15+) in zebrafish. Further analysis showed that cell adhesion molecule 3 (cadm3) was reduced in p15+ host retinae, and overexpression of either full-length or ectodomains of Cadm3 in p15+ host retinae markedly suppressed the clonal expansion of WT donor RPCs. Notably, WT donor RPCs in retinae with cadm3 disruption recapitulated expanded clones that were found in p15+ retinae. More strikingly, overexpression of Cadm3 without extracellular ig1 domain in RPCs resulted in expanded clones and increased retinal total cell number. Thus, homophilic interaction of Cadm3 provides an intercellular mechanism underlying coordinated cell proliferation to ensure cell number homeostasis of the developing neuroepithelia.
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Affiliation(s)
- Yanan Li
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Baijie Xu
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Mengmeng Jin
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Zhang
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ningxin Ren
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jinhui Hu
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jie He
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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6
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A Spacetime Odyssey of Neural Progenitors to Generate Neuronal Diversity. Neurosci Bull 2022; 39:645-658. [PMID: 36214963 PMCID: PMC10073374 DOI: 10.1007/s12264-022-00956-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/29/2022] [Indexed: 10/17/2022] Open
Abstract
To understand how the nervous system develops from a small pool of progenitors during early embryonic development, it is fundamentally important to identify the diversity of neuronal subtypes, decode the origin of neuronal diversity, and uncover the principles governing neuronal specification across different regions. Recent single-cell analyses have systematically identified neuronal diversity at unprecedented scale and speed, leaving the deconstruction of spatiotemporal mechanisms for generating neuronal diversity an imperative and paramount challenge. In this review, we highlight three distinct strategies deployed by neural progenitors to produce diverse neuronal subtypes, including predetermined, stochastic, and cascade diversifying models, and elaborate how these strategies are implemented in distinct regions such as the neocortex, spinal cord, retina, and hypothalamus. Importantly, the identity of neural progenitors is defined by their spatial position and temporal patterning factors, and each type of progenitor cell gives rise to distinguishable cohorts of neuronal subtypes. Microenvironmental cues, spontaneous activity, and connectional pattern further reshape and diversify the fate of unspecialized neurons in particular regions. The illumination of how neuronal diversity is generated will pave the way for producing specific brain organoids to model human disease and desired neuronal subtypes for cell therapy, as well as understanding the organization of functional neural circuits and the evolution of the nervous system.
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7
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Jin M, Zhang H, Xu B, Li Y, Qin H, Yu S, He J. Jag2b-Notch3/1b-mediated neuron-to-glia crosstalk controls retinal gliogenesis. EMBO Rep 2022; 23:e54922. [PMID: 36047082 PMCID: PMC9535768 DOI: 10.15252/embr.202254922] [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: 02/23/2022] [Revised: 08/03/2022] [Accepted: 08/18/2022] [Indexed: 11/09/2022] Open
Abstract
In the developing central nervous systems (CNS), neural progenitor cells generate neurons and glia in sequential order. However, the influence of neurons on glia generation remains elusive. Here, we report that photoreceptor cell-derived Jag2b is required for Notch-dependent Müller glia (MG) generation in the developing zebrafish retina. In jab2b-/- mutants, differentiating MGs are re-specified into lineage-related bipolar neuron fate at the expense of mature MG. Single-cell transcriptome analysis and knock-in animals reveal that jab2b is specifically expressed in crx+ -photoreceptor cells during MG generation. Crx promoter-driven jag2b, but not other Notch ligands, is sufficient to rescue the loss of MGs observed in jag2b-/- mutants. Furthermore, we observe a severe and moderate decrease in the number of MGs in notch3-/- and notch1b-/- mutants, respectively, and the activation of Notch3 or Notch1b rescues the MG loss in jag2b-/- mutants. Together, our findings reveal that the interaction of Jag2b and Notch3/Notch1b mediates the crosstalk between neurons and glial cells to ensure the irreversible differentiation of MG, providing novel mechanistic insights into the temporal specification of glial cell fate in a developing vertebrate CNS structure.
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Affiliation(s)
- Mengmeng Jin
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Hui Zhang
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Baijie Xu
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yanan Li
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Huiwen Qin
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Shuguang Yu
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jie He
- State Key Laboratory of NeuroscienceInstitute of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
- Shanghai Center for Brain Science and Brain‐Inspired Intelligence TechnologyShanghaiChina
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8
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Petridou E, Godinho L. Cellular and Molecular Determinants of Retinal Cell Fate. Annu Rev Vis Sci 2022; 8:79-99. [DOI: 10.1146/annurev-vision-100820-103154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The vertebrate retina is regarded as a simple part of the central nervous system (CNS) and thus amenable to investigations of the determinants of cell fate. Its five neuronal cell classes and one glial cell class all derive from a common pool of progenitors. Here we review how each cell class is generated. Retinal progenitors progress through different competence states, in each of which they generate only a small repertoire of cell classes. The intrinsic state of the progenitor is determined by the complement of transcription factors it expresses. Thus, although progenitors are multipotent, there is a bias in the types of fates they generate during any particular time window. Overlying these competence states are stochastic mechanisms that influence fate decisions. These mechanisms are determined by a weighted set of probabilities based on the abundance of a cell class in the retina. Deterministic mechanisms also operate, especially late in development, when preprogrammed progenitors solely generate specific fates.
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Affiliation(s)
- Eleni Petridou
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany;,
- Graduate School of Systemic Neurosciences (GSN), Ludwig Maximilian University of Munich, Planegg-Martinsried, Germany
| | - Leanne Godinho
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany;,
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9
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Martin A, Babbitt A, Pickens AG, Pickett BE, Hill JT, Suli A. Single-Cell RNA Sequencing Characterizes the Molecular Heterogeneity of the Larval Zebrafish Optic Tectum. Front Mol Neurosci 2022; 15:818007. [PMID: 35221915 PMCID: PMC8869500 DOI: 10.3389/fnmol.2022.818007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/11/2022] [Indexed: 01/04/2023] Open
Abstract
The optic tectum (OT) is a multilaminated midbrain structure that acts as the primary retinorecipient in the zebrafish brain. Homologous to the mammalian superior colliculus, the OT is responsible for the reception and integration of stimuli, followed by elicitation of salient behavioral responses. While the OT has been the focus of functional experiments for decades, less is known concerning specific cell types, microcircuitry, and their individual functions within the OT. Recent efforts have contributed substantially to the knowledge of tectal cell types; however, a comprehensive cell catalog is incomplete. Here we contribute to this growing effort by applying single-cell RNA Sequencing (scRNA-seq) to characterize the transcriptomic profiles of tectal cells labeled by the transgenic enhancer trap line y304Et(cfos:Gal4;UAS:Kaede). We sequenced 13,320 cells, a 4X cellular coverage, and identified 25 putative OT cell populations. Within those cells, we identified several mature and developing neuronal populations, as well as non-neuronal cell types including oligodendrocytes and microglia. Although most mature neurons demonstrate GABAergic activity, several glutamatergic populations are present, as well as one glycinergic population. We also conducted Gene Ontology analysis to identify enriched biological processes, and computed RNA velocity to infer current and future transcriptional cell states. Finally, we conducted in situ hybridization to validate our bioinformatic analyses and spatially map select clusters. In conclusion, the larval zebrafish OT is a complex structure containing at least 25 transcriptionally distinct cell populations. To our knowledge, this is the first time scRNA-seq has been applied to explore the OT alone and in depth.
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Affiliation(s)
- Annalie Martin
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, United States
- *Correspondence: Annalie Martin,
| | - Anne Babbitt
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, United States
| | - Allison G. Pickens
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, United States
| | - Brett E. Pickett
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT, United States
| | - Jonathon T. Hill
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, United States
| | - Arminda Suli
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT, United States
- Arminda Suli,
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10
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Abstract
Phosphoinositides are signalling lipids derived from phosphatidylinositol, a ubiquitous phospholipid in the cytoplasmic leaflet of eukaryotic membranes. Initially discovered for their roles in cell signalling, phosphoinositides are now widely recognized as key integrators of membrane dynamics that broadly impact on all aspects of cell physiology and on disease. The past decade has witnessed a vast expansion of our knowledge of phosphoinositide biology. On the endocytic and exocytic routes, phosphoinositides direct the inward and outward flow of membrane as vesicular traffic is coupled to the conversion of phosphoinositides. Moreover, recent findings on the roles of phosphoinositides in autophagy and the endolysosomal system challenge our view of lysosome biology. The non-vesicular exchange of lipids, ions and metabolites at membrane contact sites in between organelles has also been found to depend on phosphoinositides. Here we review our current understanding of how phosphoinositides shape and direct membrane dynamics to impact on cell physiology, and provide an overview of emerging concepts in phosphoinositide regulation.
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11
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Engerer P, Petridou E, Williams PR, Suzuki SC, Yoshimatsu T, Portugues R, Misgeld T, Godinho L. Notch-mediated re-specification of neuronal identity during central nervous system development. Curr Biol 2021; 31:4870-4878.e5. [PMID: 34534440 DOI: 10.1016/j.cub.2021.08.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 06/27/2021] [Accepted: 08/18/2021] [Indexed: 11/27/2022]
Abstract
Neuronal identity has long been thought of as immutable, so that once a cell acquires a specific fate, it is maintained for life.1 Studies using the overexpression of potent transcription factors to experimentally reprogram neuronal fate in the mouse neocortex2,3 and retina4,5 have challenged this notion by revealing that post-mitotic neurons can switch their identity. Whether fate reprogramming is part of normal development in the central nervous system (CNS) is unclear. While there are some reports of physiological cell fate reprogramming in invertebrates,6,7 and in the vertebrate peripheral nervous system,8 endogenous fate reprogramming in the vertebrate CNS has not been documented. Here, we demonstrate spontaneous fate re-specification in an interneuron lineage in the zebrafish retina. We show that the visual system homeobox 1 (vsx1)-expressing lineage, which has been associated exclusively with excitatory bipolar cell (BC) interneurons,9-12 also generates inhibitory amacrine cells (ACs). We identify a role for Notch signaling in conferring plasticity to nascent vsx1 BCs, allowing suitable transcription factor programs to re-specify them to an AC fate. Overstimulating Notch signaling enhances this physiological phenotype so that both daughters of a vsx1 progenitor differentiate into ACs and partially differentiated vsx1 BCs can be converted into ACs. Furthermore, this physiological re-specification can be mimicked to allow experimental induction of an entirely distinct fate, that of retinal projection neurons, from the vsx1 lineage. Our observations reveal unanticipated plasticity of cell fate during retinal development.
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Affiliation(s)
- Peter Engerer
- Institute of Neuronal Cell Biology, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany
| | - Eleni Petridou
- Institute of Neuronal Cell Biology, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Ludwig-Maximilian University of Munich, Großhaderner Strasse 2, 82152 Planegg-Martinsried, Germany
| | - Philip R Williams
- Institute of Neuronal Cell Biology, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany
| | - Sachihiro C Suzuki
- Department of Biological Structure, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA
| | - Takeshi Yoshimatsu
- Department of Biological Structure, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA
| | - Ruben Portugues
- Institute of Neuroscience, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany; Munich Cluster of Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Thomas Misgeld
- Institute of Neuronal Cell Biology, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, 81377 Munich, Germany; Munich Cluster of Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Leanne Godinho
- Institute of Neuronal Cell Biology, Technische Universität München, Biedersteiner Strasse 29, 80802 Munich, Germany.
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Shiau F, Ruzycki PA, Clark BS. A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq. Dev Biol 2021; 478:41-58. [PMID: 34146533 PMCID: PMC8386138 DOI: 10.1016/j.ydbio.2021.06.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 12/20/2022]
Abstract
Recent advances in high throughput single-cell RNA sequencing (scRNA-seq) technology have enabled the simultaneous transcriptomic profiling of thousands of individual cells in a single experiment. To investigate the intrinsic process of retinal development, researchers have leveraged this technology to quantify gene expression in retinal cells across development, in multiple species, and from numerous important models of human disease. In this review, we summarize recent applications of scRNA-seq and discuss how these datasets have complemented and advanced our understanding of retinal progenitor cell competence, cell fate specification, and differentiation. Finally, we also highlight the outstanding questions in the field that advances in single-cell data generation and analysis will soon be able to answer.
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Affiliation(s)
- Fion Shiau
- John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Philip A Ruzycki
- John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian S Clark
- John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO, USA; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA.
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Zhang H, Wang H, Shen X, Jia X, Yu S, Qiu X, Wang Y, Du J, Yan J, He J. The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain. eLife 2021; 10:68224. [PMID: 34895465 PMCID: PMC8769648 DOI: 10.7554/elife.68224] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 12/05/2021] [Indexed: 11/18/2022] Open
Abstract
Multidimensional landscapes of regulatory genes in neuronal phenotypes at whole-brain levels in the vertebrate remain elusive. We generated single-cell transcriptomes of ~67,000 region- and neurotransmitter/neuromodulator-identifiable cells from larval zebrafish brains. Hierarchical clustering based on effector gene profiles ('terminal features') distinguished major brain cell types. Sister clusters at hierarchical termini displayed similar terminal features. It was further verified by a population-level statistical method. Intriguingly, glutamatergic/GABAergic sister clusters mostly expressed distinct transcription factor (TF) profiles ('convergent pattern'), whereas neuromodulator-type sister clusters predominantly expressed the same TF profiles ('matched pattern'). Interestingly, glutamatergic/GABAergic clusters with similar TF profiles could also display different terminal features ('divergent pattern'). It led us to identify a library of RNA-binding proteins that differentially marked divergent pair clusters, suggesting the post-transcriptional regulation of neuron diversification. Thus, our findings reveal multidimensional landscapes of transcriptional and post-transcriptional regulators in whole-brain neuronal phenotypes in the zebrafish brain.
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Affiliation(s)
- Hui Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,University of Chinese Academy of SciencesBeijingChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Haifang Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Xiaoyu Shen
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Xinling Jia
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Shuguang Yu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,University of Chinese Academy of SciencesBeijingChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Xiaoying Qiu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Yufan Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,University of Chinese Academy of SciencesBeijingChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
| | - Jiulin Du
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina,School of Future Technology, University of Chinese Academy of SciencesBeijingChina
| | - Jun Yan
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina,School of Future Technology, University of Chinese Academy of SciencesBeijingChina
| | - Jie He
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of SciencesShanghaiChina,Shanghai Center for Brain Science and Brain-Inspired Intelligence TechnologyShanghaiChina
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