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Results: 172
39194b133512dab0
Sample:
E15.5_BB0420_Bg2
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background2 Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Background2
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Background2
39194b133512dab0
Sample:
E15.5_BB0430_Bg
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background
39194b133512dab0
Sample:
E11.5_BB0534_Bg
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Background
39194b133512dab0
Sample:
E11.5_BB0534_PdgfrBonly
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Platelet Derived Growth Factor B Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Platelet_Derived_Growth_Factor_B
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0534/LSFM/Platelet_Derived_Growth_Factor_B
39194b133512dab0
Sample:
E15.5_BB0432_VIPAi14C
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Vasoactive intestinal peptide RFP amplification antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0432/LSFM/Vasoactive_intestinal_peptide
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0432/LSFM/Vasoactive_intestinal_peptide
820aec4a2b25b348
Sample:
P58_U537_nnos-pv
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-pv transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNosAi65PVflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20200218_UC_U537_nNos-Ai65-PVflp_M_3TT
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20200218_UC_U537_nNos-Ai65-PVflp_M_3TT
820aec4a2b25b348
Sample:
P58_U396_nnos-vip
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-vip transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNos-Ai65-VIPflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20190709_UC_U396_nNosAi65VIPflp_p61_M_3TT_nov2stitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20190709_UC_U396_nNosAi65VIPflp_p61_M_3TT_nov2stitch
820aec4a2b25b348
Sample:
P58_U395_nnos-vip
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-vip transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNos-Ai65-VIPflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20190708_YK_U395_nNosAi65VIPflp_p61_M_3TT_nov2stitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20190708_YK_U395_nNosAi65VIPflp_p61_M_3TT_nov2stitch
39194b133512dab0
Sample:
E11.5_BB0535_Pericyte
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Pericyte Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Pericyte
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Pericyte
39194b133512dab0
Sample:
E11.5_BB0535_Lectin
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Lectin Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Lectin
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Lectin
39194b133512dab0
Sample:
E11.5_BB0535_Bg
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0535/LSFM/Background
39194b133512dab0
Sample:
E15.5_BB0476_Bg
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0476/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0476/LSFM/Background
39194b133512dab0
Sample:
E11.5_BB0532_Lectin
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Lectin Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E11.5_BB0532/LSFM/Lectin
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E11.5_BB0532/LSFM/Lectin
39194b133512dab0
Sample:
E15.5_BB0420_NT
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0420/LSFM/Neurotrace
39194b133512dab0
Sample:
E15.5_BB0430_Bg3
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background3 Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: Vasoactive_intestinal_peptide-Cre-Ai14C
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background3
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0430/LSFM/Background3
820aec4a2b25b348
Sample:
P58_U464_nnos-pv
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-pv transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNosAi65PVflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20191108_UC_U464_nNos-Ai65-PVflp_F_3TT_nov2stitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20191108_UC_U464_nNos-Ai65-PVflp_F_3TT_nov2stitch
39194b133512dab0
Sample:
E15.5_BB0105_NT
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Neurotrace Fluorescent Stain
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurotrace
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurotrace
39194b133512dab0
Sample:
E15.5_BB0105_NF
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Neurofilament Fluorescent protein antibody labelling
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurofilament
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Neurofilament
39194b133512dab0
Sample:
E15.5_BB0105_Bg
Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing, complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders. Common coordinate frameworks (CCF) provide an essential spatial context with which to understand cell type composition and 3D arrangement in the mouse brain. For the adult mouse brain, the Allen CCF currently serves as a standard atlas resource with which to map and integrate results from different studies. On the other hand, the lack of CCFs in developing mouse brains significantly impedes progress on quantitative spatiotemporal understanding of cell types during neurodevelopment. To address this deficiency, we intend to create developmental CCFs with associated ontology and true 3D anatomical labels while also demonstrating the application of our CCFs by generating quantitative mappings of GABAergic neurons in the developing mouse brain. Toward this end, we utilize MRI, light sheet fluorescent microscopy (LSFM), and Serial Two Photon Tomography (STPT) to develop high-resolution developmental CCFs at seven different developmental time points (E11.5, E13.5, E15.5, E18.5, P4, P14, and P56) with different cellular features highlighted, including total cell density, myelination, and neurovasculature. Second, we will create fully 3D anatomical labels for the CCFs based on cellular and gene expression information, and build a comprehensive ontology that will allow anatomical region changes to be linked across development and maturation. Lastly, we will generate a cellular-resolution quantitative map of GABAergic neuronal subtypes using tissue clearing and LSFM imaging in developing mouse brains. The successful completion of this project will enable a broad field of scientists to leverage modern brain mapping technologies more effectively in studying the developing mouse brain. This specific data submission collected during 2022Q1 includes a variety of LSFM whole mouse brain datasets from ages E11.5, E15.5, and E18.5;, and STPT datasets from ages P4 P6, P8, P10, P12, and P14
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
1-RF1-MH124605-01
Experiment
Modality: cell type distribution
Method: Background Autofluorescence
Technique: light sheet microscopy
Structure: whole brain
Organism: mouse
TransLine: C57BL/6
Cells: 0
BIL: /bil/data/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Background
HTTPS: https://download.brainimagelibrary.org/39/19/39194b133512dab0/E15.5_BB0105/LSFM/Background
820aec4a2b25b348
Sample:
P58_U364_nnos-vip
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-vip transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNos-Ai65-VIPflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20190610_UC_U364_nNos-Ai65-VIPflp_M_3TT_novstitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20190610_UC_U364_nNos-Ai65-VIPflp_M_3TT_novstitch
820aec4a2b25b348
Sample:
P58_U463_nnos-pv
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-pv transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNosAi65PVflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20191107_UC_U463_nNos-Ai65-PVflp_F_3TT_nov2stitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20191107_UC_U463_nNos-Ai65-PVflp_F_3TT_nov2stitch
820aec4a2b25b348
Sample:
P58_U405_nnos-pv
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: nnos-pv transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNosAi65PVflp
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20190822_UC_U405_nNosAi65PVflp_F_3TT_nov2stitch
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20190822_UC_U405_nNosAi65PVflp_F_3TT_nov2stitch
820aec4a2b25b348
Sample:
P56_U532_pan-nnos
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: pan-nnos transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: nNosAi14
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20200130_UC_U532_nNos-Ai14_M_p56
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20200130_UC_U532_nNos-Ai14_M_p56
820aec4a2b25b348
Sample:
P61_U520_pericyte
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: pericyte transgenetic reporter mice
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: Pdgfrb-Ai14
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20200118_HB_U520_Pdgfrb-Ai14_F_RH_P61_3dPFA
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20200118_HB_U520_Pdgfrb-Ai14_F_RH_P61_3dPFA
820aec4a2b25b348
Sample:
P56_U605_vasculature
The cerebrovascular network and its mural cells must meet the dynamic energy demands of different neuronal cell types across the brain, but their spatial relationship among these cells is largely unknown. Here, we apply brain-wide mapping methods to create a comprehensive cellular-resolution resource comprising the distribution of and quantitative relationship between microvessels, pericytes, and glutamatergic and GABAergic neurons including neuronal nitric oxide synthase-positive (nNOS+) neurons and their subtypes in mice. Leveraging these data, we discovered region-specific signatures of vasculature and cell type compositions across cortical and subcortical areas, including strikingly contrasting correlations between the density of vasculature, pericytes, glutamatergic neurons and parvalbumin-positive interneurons versus nNOS+ neurons in the isocortex. We also found surprisingly low vasculature and pericyte density in the hippocampus, and distinctly high pericyte to vasculature ratio in the hypothalamus. These findings suggest that vascular density and mural cell composition is finely tuned to maintain regional energy homeostasis. Data collected with TissueCyte STPT Microscope: ch1 is Red channel, ch2 is Green channel, ch3 is Blue channel.
Investigator
Yongsoo Kim
Yongsoo Kim Lab
Pennsylvania State University
Funding
5-R01-NS108407-01
Experiment
Modality: cell type distribution
Method: FITC
Technique: STPT
Structure: Whole brain
Organism: mouse
TransLine: C57
Cells: 0
BIL: /bil/data/82/0a/820aec4a2b25b348/20200827_HB_U605_C57J_FITC-fill_M_p56_optical
HTTPS: https://download.brainimagelibrary.org/82/0a/820aec4a2b25b348/20200827_HB_U605_C57J_FITC-fill_M_p56_optical