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ihc staining with neun  (Proteintech)
96
Proteintech ihc staining with neun
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Ihc Staining With Neun, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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alexa fluor 488-conjugated antibodies for neun staining  (Millipore)
90
Millipore alexa fluor 488-conjugated antibodies for neun staining
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Alexa Fluor 488 Conjugated Antibodies For Neun Staining, supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neun and tunel staining kits  (Servicebio Inc)
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Servicebio Inc neun and tunel staining kits
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Neun And Tunel Staining Kits, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neun immunohistochemical staining  (Millipore)
90
Millipore neun immunohistochemical staining
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Neun Immunohistochemical Staining, supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ihc staining  (Cell Signaling Technology Inc)
97
Cell Signaling Technology Inc ihc staining
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Ihc Staining, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neun double labeling staining  (Proteintech)
98
Proteintech neun double labeling staining
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Neun Double Labeling Staining, supplied by Proteintech, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neuronal nuclei neun double labeling staining  (Proteintech)
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Proteintech neuronal nuclei neun double labeling staining
a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons <t>(NeuN)</t> and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under <t>immunohistochemical</t> staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).
Neuronal Nuclei Neun Double Labeling Staining, supplied by Proteintech, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neun staining  (Millipore)
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Millipore neun staining
Distribution of anterogradely labeled cholinergic projections in <t>the</t> <t>amygdala</t> region from the HDB or VP/SI. (A) Example injection sites in the HDB in ChAT-Cre mice. Small volume (30 nL) of AAV8.CAG.flex.GFP was injected to the target area. Scale bar: 500 μm. (B) Coronal images taken at different amygdala planes showing cholinergic projections from the HDB. Scale bar: 500 μm. (C) Overlaid representative cholinergic projections from the HDB. Axons visualized in different animals ( n = 3) are shown in different colors. Borders of distinct amygdala regions were drawn based on <t>NeuN</t> staining. (D) Example injection sites in the VP/SI in ChAT-Cre mice. 30 nL AAV8.CAG.flex. GFP was injected to the target area. Scale bar: 500 μm. (E) Coronal images taken at different amygdala planes showing cholinergic projections from the VP/SI. Scale bar: 500 μm. (F) Overlaid representative cholinergic projections from the VP/SI. Axons revealed in different animals ( n = 4) are shown in distinct colors. The borders of distinct amygdala regions are drawn based on NeuN staining. (G) Percentage of amygdala region-projecting HDB or VP/SI cholinergic axons in each nucleus/region. ACo, anterior cortical amygdaloid nucleus; AHi, amygdalohippocampal area; APir, amygdalopiriform transition area; BA, basal amygdala; BMA, basomedial amygdala; CeM, central amygdala, medial division; DEn, dorsal endopiriform nucleus; LA, lateral amygdala; LEnt, lateral entorhinal cortex; MeA, medial amygdala, anterior part; Mep, medial amygdala, posterior part; Pir, piriform cortex; PMCo, posteromedial cortical amygdaloid nucleus.
Neun Staining, supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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nupr1 neun staining  (Proteintech)
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Proteintech nupr1 neun staining
Distribution of anterogradely labeled cholinergic projections in <t>the</t> <t>amygdala</t> region from the HDB or VP/SI. (A) Example injection sites in the HDB in ChAT-Cre mice. Small volume (30 nL) of AAV8.CAG.flex.GFP was injected to the target area. Scale bar: 500 μm. (B) Coronal images taken at different amygdala planes showing cholinergic projections from the HDB. Scale bar: 500 μm. (C) Overlaid representative cholinergic projections from the HDB. Axons visualized in different animals ( n = 3) are shown in different colors. Borders of distinct amygdala regions were drawn based on <t>NeuN</t> staining. (D) Example injection sites in the VP/SI in ChAT-Cre mice. 30 nL AAV8.CAG.flex. GFP was injected to the target area. Scale bar: 500 μm. (E) Coronal images taken at different amygdala planes showing cholinergic projections from the VP/SI. Scale bar: 500 μm. (F) Overlaid representative cholinergic projections from the VP/SI. Axons revealed in different animals ( n = 4) are shown in distinct colors. The borders of distinct amygdala regions are drawn based on NeuN staining. (G) Percentage of amygdala region-projecting HDB or VP/SI cholinergic axons in each nucleus/region. ACo, anterior cortical amygdaloid nucleus; AHi, amygdalohippocampal area; APir, amygdalopiriform transition area; BA, basal amygdala; BMA, basomedial amygdala; CeM, central amygdala, medial division; DEn, dorsal endopiriform nucleus; LA, lateral amygdala; LEnt, lateral entorhinal cortex; MeA, medial amygdala, anterior part; Mep, medial amygdala, posterior part; Pir, piriform cortex; PMCo, posteromedial cortical amygdaloid nucleus.
Nupr1 Neun Staining, supplied by Proteintech, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons (NeuN) and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under immunohistochemical staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).

Journal: Nature Communications

Article Title: Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution

doi: 10.1038/s41467-025-62793-9

Figure Lengend Snippet: a Between-group sum of squares of factors affecting IT cell type transcriptome variation. Two-sided Anova significance: all p = 0 ( n = 42). b The cellular composition analysis by scCODA show differential subclass in snRNA-seq datasets, highlighting the significant reduction of LINC00507 IT neurons in the ACC. Each dot denotes cells in a subclass in one region compared to all others regions. Only the data with significant output from scCODA will be shown. c Scatterplot of Stereo-seq example (ACC) showing 4 gradient-laminar distributed glutamatergic IT subclasses. Cells are colored by their cell density. The slide size is 1x1cm, and the subclasses are displayed using the cell bin. d Mature neurons (NeuN) and projection neurons (MAP2) distribution. Left, NeuN and MAP2 staining for neuron. Right, laminar distribution of mature and projection neurons under immunohistochemical staining. e The biplot showed the correlation between cortical region function and cell specificity by redundancy analysis (RDA). The angle reflects the correlation between function and cell type, and the length indicates the magnitude of each explicative contribution. A small angle between cell type and function suggests a positive correlation, while a large angle suggests a negative correlation. Here ET neurons show a strong correlation with pain function. f Detailed representation of specific cortical regions relevant to pain perception. Zoom-in Stereo slides view for pain-positive (S1, S1E, PoCG, ACC) and pain-negative (ITG, AG, FPPFC) cortical regions, illustrating laminar organization and the distribution of ET. ET densely distributed in pain relevant regions such as S1, S1E, PoCG, while the region with least correlation with pain were found much less ET. The down left plot denotes the pain correlation in cortical regions. g Violin plots in ACC (left) and other regions (right) show the expression of differential genes in ET, ANOVA q-value adjusted. *** p < 0.001, ** p < 0.01, * p < 0.05. h Dot plot represents the specific pathways of ET neurons in different cortical regions, highlighting their unique characteristics across various areas, highlighting the molecular functions and biological processes of ET in multi-cortical regions. (Hypergeometric test (q-value adjusted)).

Article Snippet: Coronal sections adjacent to Stereo-seq chips were collected for IHC staining with NeuN (Proteintech 26975-1-AP, 1:10000), GAP43 (Abcam ab75810, 1: 3000), and MAP2 (Proteintech 17490-1-AP, 1:2500) antibodies.

Techniques: Staining, Immunohistochemical staining, Expressing

Distribution of anterogradely labeled cholinergic projections in the amygdala region from the HDB or VP/SI. (A) Example injection sites in the HDB in ChAT-Cre mice. Small volume (30 nL) of AAV8.CAG.flex.GFP was injected to the target area. Scale bar: 500 μm. (B) Coronal images taken at different amygdala planes showing cholinergic projections from the HDB. Scale bar: 500 μm. (C) Overlaid representative cholinergic projections from the HDB. Axons visualized in different animals ( n = 3) are shown in different colors. Borders of distinct amygdala regions were drawn based on NeuN staining. (D) Example injection sites in the VP/SI in ChAT-Cre mice. 30 nL AAV8.CAG.flex. GFP was injected to the target area. Scale bar: 500 μm. (E) Coronal images taken at different amygdala planes showing cholinergic projections from the VP/SI. Scale bar: 500 μm. (F) Overlaid representative cholinergic projections from the VP/SI. Axons revealed in different animals ( n = 4) are shown in distinct colors. The borders of distinct amygdala regions are drawn based on NeuN staining. (G) Percentage of amygdala region-projecting HDB or VP/SI cholinergic axons in each nucleus/region. ACo, anterior cortical amygdaloid nucleus; AHi, amygdalohippocampal area; APir, amygdalopiriform transition area; BA, basal amygdala; BMA, basomedial amygdala; CeM, central amygdala, medial division; DEn, dorsal endopiriform nucleus; LA, lateral amygdala; LEnt, lateral entorhinal cortex; MeA, medial amygdala, anterior part; Mep, medial amygdala, posterior part; Pir, piriform cortex; PMCo, posteromedial cortical amygdaloid nucleus.

Journal: Frontiers in Cellular Neuroscience

Article Title: Functionally linked amygdala and prefrontal cortical regions are innervated by both single and double projecting cholinergic neurons

doi: 10.3389/fncel.2024.1426153

Figure Lengend Snippet: Distribution of anterogradely labeled cholinergic projections in the amygdala region from the HDB or VP/SI. (A) Example injection sites in the HDB in ChAT-Cre mice. Small volume (30 nL) of AAV8.CAG.flex.GFP was injected to the target area. Scale bar: 500 μm. (B) Coronal images taken at different amygdala planes showing cholinergic projections from the HDB. Scale bar: 500 μm. (C) Overlaid representative cholinergic projections from the HDB. Axons visualized in different animals ( n = 3) are shown in different colors. Borders of distinct amygdala regions were drawn based on NeuN staining. (D) Example injection sites in the VP/SI in ChAT-Cre mice. 30 nL AAV8.CAG.flex. GFP was injected to the target area. Scale bar: 500 μm. (E) Coronal images taken at different amygdala planes showing cholinergic projections from the VP/SI. Scale bar: 500 μm. (F) Overlaid representative cholinergic projections from the VP/SI. Axons revealed in different animals ( n = 4) are shown in distinct colors. The borders of distinct amygdala regions are drawn based on NeuN staining. (G) Percentage of amygdala region-projecting HDB or VP/SI cholinergic axons in each nucleus/region. ACo, anterior cortical amygdaloid nucleus; AHi, amygdalohippocampal area; APir, amygdalopiriform transition area; BA, basal amygdala; BMA, basomedial amygdala; CeM, central amygdala, medial division; DEn, dorsal endopiriform nucleus; LA, lateral amygdala; LEnt, lateral entorhinal cortex; MeA, medial amygdala, anterior part; Mep, medial amygdala, posterior part; Pir, piriform cortex; PMCo, posteromedial cortical amygdaloid nucleus.

Article Snippet: To determine the borders of the amygdala nuclei based on soma distributions, we mapped the amygdala region at the coronal plains using NeuN staining (1:1000, Millipore) or we used reconstructed maps from the mouse brain atlas.

Techniques: Labeling, Injection, Staining