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human hepatocyte growth factor  (PeproTech)

 
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    PeproTech human hepatocyte growth factor
    Schematic diagram of the experiment illustrating the identification of nanobiomarkers in the secretion of human mesenchymal stem cells (hMSCs), hepatic progenitor cells (HPCs), and <t>hepatocyte-like</t> cells (HLCs) utilizing surface-enhanced Raman spectroscopy (SERS) integrated with machine learning algorithms for translational research.
    Human Hepatocyte Growth Factor, supplied by PeproTech, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human hepatocyte growth factor/product/PeproTech
    Average 90 stars, based on 1 article reviews
    human hepatocyte growth factor - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Evaluation of Hepatic Progenitor and Hepatocyte-Like Cell Differentiation Using Machine Learning Analysis-Assisted Surface-Enhanced Raman Spectroscopy"

    Article Title: Evaluation of Hepatic Progenitor and Hepatocyte-Like Cell Differentiation Using Machine Learning Analysis-Assisted Surface-Enhanced Raman Spectroscopy

    Journal: Biomaterials Research

    doi: 10.34133/bmr.0190

    Schematic diagram of the experiment illustrating the identification of nanobiomarkers in the secretion of human mesenchymal stem cells (hMSCs), hepatic progenitor cells (HPCs), and hepatocyte-like cells (HLCs) utilizing surface-enhanced Raman spectroscopy (SERS) integrated with machine learning algorithms for translational research.
    Figure Legend Snippet: Schematic diagram of the experiment illustrating the identification of nanobiomarkers in the secretion of human mesenchymal stem cells (hMSCs), hepatic progenitor cells (HPCs), and hepatocyte-like cells (HLCs) utilizing surface-enhanced Raman spectroscopy (SERS) integrated with machine learning algorithms for translational research.

    Techniques Used: Raman Spectroscopy, Clinical Proteomics

    Validation of hepatic differentiation from hMSCs to HLCs. Cell morphology during each (A) hMSC, (B) HPC, and (C) HLC differentiation process. (D) RT-qPCR analysis of hepatocyte-related genes in each cell group. (E) Detection of human albumin secretion in cells and basal medium for each differentiation step using enzyme-linked immunosorbent assay. * P < 0.05; ** P < 0.01; *** P < 0.001. (F) Cell differentiation schedule and evaluation timing.
    Figure Legend Snippet: Validation of hepatic differentiation from hMSCs to HLCs. Cell morphology during each (A) hMSC, (B) HPC, and (C) HLC differentiation process. (D) RT-qPCR analysis of hepatocyte-related genes in each cell group. (E) Detection of human albumin secretion in cells and basal medium for each differentiation step using enzyme-linked immunosorbent assay. * P < 0.05; ** P < 0.01; *** P < 0.001. (F) Cell differentiation schedule and evaluation timing.

    Techniques Used: Biomarker Discovery, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay, Cell Differentiation



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    Schematic diagram of the experiment illustrating the identification of nanobiomarkers in the secretion of human mesenchymal stem cells (hMSCs), hepatic progenitor cells (HPCs), and hepatocyte-like cells (HLCs) utilizing surface-enhanced Raman spectroscopy (SERS) integrated with machine learning algorithms for translational research.

    Journal: Biomaterials Research

    Article Title: Evaluation of Hepatic Progenitor and Hepatocyte-Like Cell Differentiation Using Machine Learning Analysis-Assisted Surface-Enhanced Raman Spectroscopy

    doi: 10.34133/bmr.0190

    Figure Lengend Snippet: Schematic diagram of the experiment illustrating the identification of nanobiomarkers in the secretion of human mesenchymal stem cells (hMSCs), hepatic progenitor cells (HPCs), and hepatocyte-like cells (HLCs) utilizing surface-enhanced Raman spectroscopy (SERS) integrated with machine learning algorithms for translational research.

    Article Snippet: After 2 d, the culture medium was replaced with Step-1 medium, which consisted of Iscove’s modified Dulbecco’s medium (Gibco) supplemented with 0.1% polyvinyl alcohol (Sigma-Aldrich), 10 mM nicotinamide (Sigma-Aldrich), 20 ng/ml human hepatocyte growth factor (PeproTech), 10 ng/ml fibroblast growth factor 2, 2 μM 5-azacytidine (Sigma-Aldrich), 0.1 μM dexamethasone (Sigma-Aldrich), 1% insulin–transferrin–selenium (Gibco), 3 μM CHIR99021, 20 ng/ml human epidermal growth factor (PeproTech), and 10 μM Fasudil (AdooQ Bioscience, Irvine, CA, USA).

    Techniques: Raman Spectroscopy, Clinical Proteomics

    Validation of hepatic differentiation from hMSCs to HLCs. Cell morphology during each (A) hMSC, (B) HPC, and (C) HLC differentiation process. (D) RT-qPCR analysis of hepatocyte-related genes in each cell group. (E) Detection of human albumin secretion in cells and basal medium for each differentiation step using enzyme-linked immunosorbent assay. * P < 0.05; ** P < 0.01; *** P < 0.001. (F) Cell differentiation schedule and evaluation timing.

    Journal: Biomaterials Research

    Article Title: Evaluation of Hepatic Progenitor and Hepatocyte-Like Cell Differentiation Using Machine Learning Analysis-Assisted Surface-Enhanced Raman Spectroscopy

    doi: 10.34133/bmr.0190

    Figure Lengend Snippet: Validation of hepatic differentiation from hMSCs to HLCs. Cell morphology during each (A) hMSC, (B) HPC, and (C) HLC differentiation process. (D) RT-qPCR analysis of hepatocyte-related genes in each cell group. (E) Detection of human albumin secretion in cells and basal medium for each differentiation step using enzyme-linked immunosorbent assay. * P < 0.05; ** P < 0.01; *** P < 0.001. (F) Cell differentiation schedule and evaluation timing.

    Article Snippet: After 2 d, the culture medium was replaced with Step-1 medium, which consisted of Iscove’s modified Dulbecco’s medium (Gibco) supplemented with 0.1% polyvinyl alcohol (Sigma-Aldrich), 10 mM nicotinamide (Sigma-Aldrich), 20 ng/ml human hepatocyte growth factor (PeproTech), 10 ng/ml fibroblast growth factor 2, 2 μM 5-azacytidine (Sigma-Aldrich), 0.1 μM dexamethasone (Sigma-Aldrich), 1% insulin–transferrin–selenium (Gibco), 3 μM CHIR99021, 20 ng/ml human epidermal growth factor (PeproTech), and 10 μM Fasudil (AdooQ Bioscience, Irvine, CA, USA).

    Techniques: Biomarker Discovery, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay, Cell Differentiation