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aav php eb capsid  (Addgene inc)


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    Structured Review

    Addgene inc aav php eb capsid
    ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells  . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells  . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.
    Aav Php Eb Capsid, supplied by Addgene inc, used in various techniques. Bioz Stars score: 97/100, based on 174 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/aav php eb capsid/product/Addgene inc
    Average 97 stars, based on 174 article reviews
    aav php eb capsid - by Bioz Stars, 2026-05
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    1) Product Images from "Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq"

    Article Title: Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq

    Journal: bioRxiv

    doi: 10.64898/2026.03.16.711480

    ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells  . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells  . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.
    Figure Legend Snippet: ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.

    Techniques Used: In Vivo, Gene Expression, Control, In Vitro, Activity Assay, Immunofluorescence, Labeling, Expressing

    (A) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally injected at P16 with high (1e9), mid (6e8), or low (1.5e8) total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar = 1 mm). (B) Quantification of GFP and mScarlet viral labeling efficiency as well as double labeling rate in (A). (C) Representative FACS gating strategy to enrich transduced neuronal nuclei. (D) Bar plot of sex and weight at harvest of animals used in this study. (E) Animal tracking information showing the litter, age at harvest for each animal, as well as AAV-labeling rate by FACS and total nuclei number per hemisphere used for Flex hybridization. (F) Schematic of snRNA-seq data processing and quality control workflow.
    Figure Legend Snippet: (A) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally injected at P16 with high (1e9), mid (6e8), or low (1.5e8) total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar = 1 mm). (B) Quantification of GFP and mScarlet viral labeling efficiency as well as double labeling rate in (A). (C) Representative FACS gating strategy to enrich transduced neuronal nuclei. (D) Bar plot of sex and weight at harvest of animals used in this study. (E) Animal tracking information showing the litter, age at harvest for each animal, as well as AAV-labeling rate by FACS and total nuclei number per hemisphere used for Flex hybridization. (F) Schematic of snRNA-seq data processing and quality control workflow.

    Techniques Used: Immunofluorescence, Injection, Labeling, Hybridization, Control



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    Addgene inc aav php eb capsid
    ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells  . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells  . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.
    Aav Php Eb Capsid, supplied by Addgene 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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    ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells  . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells  . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.
    Aav Php Eb Capsids, supplied by Addgene inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/aav php eb capsids/product/Addgene inc
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    (A) Structure of CA-IV from human (PDB: 1ZNC ), macaque (modeled by AlphaFold 3 ), marmoset (modeled by AlphaFold 3), and mouse (PDB: 2ZNC ). Human CA-IV is shown in white. Regions that differ from human CA-IV in other species, and which may influence receptor binding by <t>AAV</t> variants, are highlighted in blue (mouse), green (marmoset), and magenta (macaque). (B) Illustration of critical stages of systemic AAV penetration into the brain from the bloodstream: (1) AAV binding to brain endothelial cell surface receptors; (2) cellular uptake of bound AAV through receptor-mediated internalization; and (3) transcytosis to enter the brain parenchyma. (C) Structure of the AAV9 capsid (PDB: 7MT0 41 ), highlighting the 3-fold spike and key variable regions (VR) VR-IV (green, residues 445–465), VR-V (blue, residues 488–511), and VR-VIII (purple, residues 578–596). The enlarged panel shows the interaction of VR-IV and VR-VIII from the same <t>AAV</t> <t>capsid</t> monomer (colored yellow) with VR-V from a different monomer (colored light gray). To construct our library of AAV capsid variants, a seven-residue randomized peptide was inserted between positions 588 and 589 of VR-VIII, and positions 587 and 588 were modified to either AQ or DG. (D) Pull-down-based selection workflow used to identify AAV variants that bind target receptors. Capsid variants that bind to the receptor (e.g., CA-IV or LY6A) are isolated with receptor-bound beads, followed by DNA extraction and NGS to identify the enriched variants. (E and F) Validation of pull-down-based selection for AAV variants binding mouse LY6A (E) and CA-IV (F) receptors. AAVs known to bind LY6A (PHP.B and PHP. eB) and mouse CA-IV (9P31 and 9P36) show significantly higher Er and Eh than other AAVs in a pool of ∼18,000 unique variants. Identically colored dots represent codon replicates of an AAV variant.
    Sequences Encoding Aav Capsid Variants, supplied by Addgene 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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    (A) Structure of CA-IV from human (PDB: 1ZNC ), macaque (modeled by AlphaFold 3 ), marmoset (modeled by AlphaFold 3), and mouse (PDB: 2ZNC ). Human CA-IV is shown in white. Regions that differ from human CA-IV in other species, and which may influence receptor binding by <t>AAV</t> variants, are highlighted in blue (mouse), green (marmoset), and magenta (macaque). (B) Illustration of critical stages of systemic AAV penetration into the brain from the bloodstream: (1) AAV binding to brain endothelial cell surface receptors; (2) cellular uptake of bound AAV through receptor-mediated internalization; and (3) transcytosis to enter the brain parenchyma. (C) Structure of the AAV9 capsid (PDB: 7MT0 41 ), highlighting the 3-fold spike and key variable regions (VR) VR-IV (green, residues 445–465), VR-V (blue, residues 488–511), and VR-VIII (purple, residues 578–596). The enlarged panel shows the interaction of VR-IV and VR-VIII from the same <t>AAV</t> <t>capsid</t> monomer (colored yellow) with VR-V from a different monomer (colored light gray). To construct our library of AAV capsid variants, a seven-residue randomized peptide was inserted between positions 588 and 589 of VR-VIII, and positions 587 and 588 were modified to either AQ or DG. (D) Pull-down-based selection workflow used to identify AAV variants that bind target receptors. Capsid variants that bind to the receptor (e.g., CA-IV or LY6A) are isolated with receptor-bound beads, followed by DNA extraction and NGS to identify the enriched variants. (E and F) Validation of pull-down-based selection for AAV variants binding mouse LY6A (E) and CA-IV (F) receptors. AAVs known to bind LY6A (PHP.B and PHP. eB) and mouse CA-IV (9P31 and 9P36) show significantly higher Er and Eh than other AAVs in a pool of ∼18,000 unique variants. Identically colored dots represent codon replicates of an AAV variant.
    Capsid Aav Php Eb, supplied by Addgene 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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    Image Search Results


    ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells  . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells  . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.

    Journal: bioRxiv

    Article Title: Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq

    doi: 10.64898/2026.03.16.711480

    Figure Lengend Snippet: ( A ) Schematic of mouse whole brain in vivo Perturb-seq using 10x Genomics Flex Apex platform. ( B ) UMAP of whole brain in vivo Perturb-seq dataset encompassing 7.7 million sequenced nuclei, colored by developmental neighborhoods, anatomical region, and neurotransmitter type, inferred using MapMyCells . ( C ) Heatmap of the gene expression levels of 1,947 neurodevelopmental disease-associated risk genes in non-targeting control nuclei across different developmental neighborhoods. ( D ) Histogram of in vitro gRNA activity distribution of 45 selected gRNAs (15 genes, 3 gRNAs per gene) compared to safe-targeting controls by insertion-deletion analysis. ( E ) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally administered with 6e8 total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar, 1 mm), accompanied by zoomed in images to show representative MOI in each major brain region (scale bar, 50 μm), and stacked bar plot quantifying GFP and mScarlet viral labeling efficiency as well as double labeling rate. ( F ) UMAPs of whole brain in vivo Perturb-seq dataset separated by neighborhoods, colored by inferred cell subclass using MapMyCells . ( G ) Violin plots of number of genes and RNA UMIs recovered per nucleus from each developmental neighborhood. ( H ) Ranked bar plot showing proportion of sampled nuclei by brain region. ( I ) Stacked bar plot showing percentage of nuclei with no guide, single, double, or multiple guide assignment within each developmental neighborhood. ( J ) Histogram of total nuclei number distribution of nuclei recovered per perturbation. ( K ) Ranked dot plot of nuclei number in each perturbation and cell type pair and the minimum cell number cut off for perturbation and cell type pair for downstream analyses (dashed line). ( L ) Scatter plot of weighted mean log fold-changes of target genes across all cell types against their weighted mean expression levels in non-targeting control nuclei.

    Article Snippet: Briefly, HEK293T cells were transfected with above pooled plasmid library or plasmid encoding a PiggyBac transposase , along with AAV-PHP.eB capsid (Addgene #103005) and pHelper plasmids using PEI (Polysciences, #24765-1) at 80-90% confluency.

    Techniques: In Vivo, Gene Expression, Control, In Vitro, Activity Assay, Immunofluorescence, Labeling, Expressing

    (A) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally injected at P16 with high (1e9), mid (6e8), or low (1.5e8) total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar = 1 mm). (B) Quantification of GFP and mScarlet viral labeling efficiency as well as double labeling rate in (A). (C) Representative FACS gating strategy to enrich transduced neuronal nuclei. (D) Bar plot of sex and weight at harvest of animals used in this study. (E) Animal tracking information showing the litter, age at harvest for each animal, as well as AAV-labeling rate by FACS and total nuclei number per hemisphere used for Flex hybridization. (F) Schematic of snRNA-seq data processing and quality control workflow.

    Journal: bioRxiv

    Article Title: Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq

    doi: 10.64898/2026.03.16.711480

    Figure Lengend Snippet: (A) Immunofluorescence image of sagittal section of a P37 mouse brain retro-orbitally injected at P16 with high (1e9), mid (6e8), or low (1.5e8) total vg per gram of body weight of AAV PHP.eB encoding either GFP or mScarlet (1:1 ratio) (scale bar = 1 mm). (B) Quantification of GFP and mScarlet viral labeling efficiency as well as double labeling rate in (A). (C) Representative FACS gating strategy to enrich transduced neuronal nuclei. (D) Bar plot of sex and weight at harvest of animals used in this study. (E) Animal tracking information showing the litter, age at harvest for each animal, as well as AAV-labeling rate by FACS and total nuclei number per hemisphere used for Flex hybridization. (F) Schematic of snRNA-seq data processing and quality control workflow.

    Article Snippet: Briefly, HEK293T cells were transfected with above pooled plasmid library or plasmid encoding a PiggyBac transposase , along with AAV-PHP.eB capsid (Addgene #103005) and pHelper plasmids using PEI (Polysciences, #24765-1) at 80-90% confluency.

    Techniques: Immunofluorescence, Injection, Labeling, Hybridization, Control

    (A) Structure of CA-IV from human (PDB: 1ZNC ), macaque (modeled by AlphaFold 3 ), marmoset (modeled by AlphaFold 3), and mouse (PDB: 2ZNC ). Human CA-IV is shown in white. Regions that differ from human CA-IV in other species, and which may influence receptor binding by AAV variants, are highlighted in blue (mouse), green (marmoset), and magenta (macaque). (B) Illustration of critical stages of systemic AAV penetration into the brain from the bloodstream: (1) AAV binding to brain endothelial cell surface receptors; (2) cellular uptake of bound AAV through receptor-mediated internalization; and (3) transcytosis to enter the brain parenchyma. (C) Structure of the AAV9 capsid (PDB: 7MT0 41 ), highlighting the 3-fold spike and key variable regions (VR) VR-IV (green, residues 445–465), VR-V (blue, residues 488–511), and VR-VIII (purple, residues 578–596). The enlarged panel shows the interaction of VR-IV and VR-VIII from the same AAV capsid monomer (colored yellow) with VR-V from a different monomer (colored light gray). To construct our library of AAV capsid variants, a seven-residue randomized peptide was inserted between positions 588 and 589 of VR-VIII, and positions 587 and 588 were modified to either AQ or DG. (D) Pull-down-based selection workflow used to identify AAV variants that bind target receptors. Capsid variants that bind to the receptor (e.g., CA-IV or LY6A) are isolated with receptor-bound beads, followed by DNA extraction and NGS to identify the enriched variants. (E and F) Validation of pull-down-based selection for AAV variants binding mouse LY6A (E) and CA-IV (F) receptors. AAVs known to bind LY6A (PHP.B and PHP. eB) and mouse CA-IV (9P31 and 9P36) show significantly higher Er and Eh than other AAVs in a pool of ∼18,000 unique variants. Identically colored dots represent codon replicates of an AAV variant.

    Journal: Cell reports

    Article Title: AAVs targeting human carbonic anhydrase IV enhance gene delivery to the brain

    doi: 10.1016/j.celrep.2025.116419

    Figure Lengend Snippet: (A) Structure of CA-IV from human (PDB: 1ZNC ), macaque (modeled by AlphaFold 3 ), marmoset (modeled by AlphaFold 3), and mouse (PDB: 2ZNC ). Human CA-IV is shown in white. Regions that differ from human CA-IV in other species, and which may influence receptor binding by AAV variants, are highlighted in blue (mouse), green (marmoset), and magenta (macaque). (B) Illustration of critical stages of systemic AAV penetration into the brain from the bloodstream: (1) AAV binding to brain endothelial cell surface receptors; (2) cellular uptake of bound AAV through receptor-mediated internalization; and (3) transcytosis to enter the brain parenchyma. (C) Structure of the AAV9 capsid (PDB: 7MT0 41 ), highlighting the 3-fold spike and key variable regions (VR) VR-IV (green, residues 445–465), VR-V (blue, residues 488–511), and VR-VIII (purple, residues 578–596). The enlarged panel shows the interaction of VR-IV and VR-VIII from the same AAV capsid monomer (colored yellow) with VR-V from a different monomer (colored light gray). To construct our library of AAV capsid variants, a seven-residue randomized peptide was inserted between positions 588 and 589 of VR-VIII, and positions 587 and 588 were modified to either AQ or DG. (D) Pull-down-based selection workflow used to identify AAV variants that bind target receptors. Capsid variants that bind to the receptor (e.g., CA-IV or LY6A) are isolated with receptor-bound beads, followed by DNA extraction and NGS to identify the enriched variants. (E and F) Validation of pull-down-based selection for AAV variants binding mouse LY6A (E) and CA-IV (F) receptors. AAVs known to bind LY6A (PHP.B and PHP. eB) and mouse CA-IV (9P31 and 9P36) show significantly higher Er and Eh than other AAVs in a pool of ∼18,000 unique variants. Identically colored dots represent codon replicates of an AAV variant.

    Article Snippet: Sequences encoding AAV capsid variants were cloned into the pUCmini-iCAP plasmid (Addgene ID: 103005).

    Techniques: Binding Assay, Construct, Residue, Modification, Selection, Isolation, DNA Extraction, Biomarker Discovery, Variant Assay