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high content drug screening  (TargetMol)


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    Structured Review

    TargetMol high content drug screening
    ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) <t>Representative</t> <t>high-content</t> images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.
    High Content Drug Screening, supplied by TargetMol, used in various techniques. Bioz Stars score: 93/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/high content drug screening/product/TargetMol
    Average 93 stars, based on 3 article reviews
    high content drug screening - by Bioz Stars, 2026-03
    93/100 stars

    Images

    1) Product Images from "Designer cellular spheroids with DNA origami for drug screening"

    Article Title: Designer cellular spheroids with DNA origami for drug screening

    Journal: Science Advances

    doi: 10.1126/sciadv.ado9880

    ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) Representative high-content images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.
    Figure Legend Snippet: ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) Representative high-content images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.

    Techniques Used: High Throughput Screening Assay, Labeling, Fluorescence, Imaging, Binding Assay, Staining, Negative Control, Injection, Solvent, Saline, Concentration Assay, In Vivo, Immunohistochemical staining



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    ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) <t>Representative</t> <t>high-content</t> images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.
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    Image Search Results


    ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) Representative high-content images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.

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    doi: 10.1126/sciadv.ado9880

    Figure Lengend Snippet: ( A ) Schematic of the high-throughput AI screening platform for identifying antifibrotic candidate molecules using fibrosis package NAC-Livers. ( B ) Representative high-content images of fibrotic pNAC-Livers treated with 37 candidate molecules, where PHHs were labeled with GFP (green) and HSCs were labeled with RFP (red). See fig. S21A for additional information on the locations and concentrations of 37 candidate molecules. n = 3 independent experiments. ( C and D ) Heatmap showing the fluorescence intensity of GFP (C) and RFP (D) in high-content imaging of each pNAC-Liver in (B). ( E ) The binding pose of axitinib (candidate 4) with PDK1. ( F ) H&E, Sirius Red, and α-SMA staining of mouse liver sections from three treatment groups: negative control (NC), DDC Ctrl, and axitinib. NC represents the group with normal diet, DDC Ctrl represents the group with 0.1% DDC diet modeling and intraperitoneal injection of solvent [saline with 2% dimethyl sulfoxide (DMSO) + 30% polyethylene glycol 300 + 2% Tween 80], and axitinib represents the group fed with 0.1% DDC diet and intraperitoneal injection of axitinib. See table S2 for the concentration for in vivo administration. ( G and H ) Quantification of Sirius Red–positive area (G) and the H-score in α-SMA immunohistochemical staining slices (H) of each group in (F). ( I and J ) The concentrations of serum aspartate aminotransferase (AST) (I) and alanine aminotransferase (ALT) (J) in mouse serum of each group in (F). Data in (G) to (J) are mean ± SD of n = 3 independent experiments.

    Article Snippet: All small molecules used in hepatotoxicity tests and high-content drug screening were purchased from TopScience.

    Techniques: High Throughput Screening Assay, Labeling, Fluorescence, Imaging, Binding Assay, Staining, Negative Control, Injection, Solvent, Saline, Concentration Assay, In Vivo, Immunohistochemical staining