Journal: Nature Communications

Article Title: A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation

doi: 10.1038/s41467-025-57754-1

Figure Lengend Snippet: a Overview of AH-to-CH phenopushing screening and hit-calling framework. N: Normoxia. AH: Acute hypoxia (1 d). CH: Chronic hypoxia (6 d). D: Distance from the phenotypic profile of a perturbation (a given compound at a given dose) to the centroid of the phenotypic profiles of CH DMSO controls. θ : Angle of deviation from the phenotypic profile of a perturbation relative to the centroid of the phenotypic profiles of CH DMSO controls. The cell icons: Created in BioRender. Wu, A. (2025) https://BioRender.com/q85j552 . b Summary of geometric hit calls in the primary screen. Scatter plot and density map for distance (x-axis) and direction (y-axis) of bioactive compounds. Red solid line and dotted line show cutoffs for distance and angle, respectively. Vehicle (DMSO) controls in N, AH, and CH are shown for reference. Bioactive non-hit compounds (black dots), hits (red dots), and four hit examples (large red dots) are shown. c Screening funnel for AH-to-CH phenopushing hits. d Representative images for DMSO under N, AH, or CH compared to hit examples (highlighted in b) in AH (Temsirolimus, Deforolimus, KU-0063794, WYE-354). The experiment was independently repeated three times with similar results. Source data are provided as a Source Data file.

Article Snippet: Screened compounds included (1) Selleck FDA-approved & Passed Phase I Drug Library (L3800), (2) Selleck Kinase Inhibitor Library (L1200), (3) Selleck Apoptosis Compound Library (L3300), (4) Selleck Epigenetics Compound Library (L1900), (5) Selleck Bioactive Library (L1700), (6) manually curated FDA-approved & Passed Phase I drugs from other vendors, and (7) manually curated bioactive compounds from other vendors.

Techniques:

Journal: Nature Communications

Article Title: A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation

doi: 10.1038/s41467-025-57754-1

Figure Lengend Snippet: a Overview of the ischemia rescue assay. The cell icons: Created in BioRender. Wu, A. (2025) https://BioRender.com/q85j552 . b Scatter plot of hit compound effects on HepG2 survival in ischemia-like stress. Cell survival: normalized to DMSO-treated cells, averaged across all tested well replicates and doses for each drug, and ranked based on their survival rate. Dashed lines: survival of DMSO-treated hypoxia naïve cells (bottom) or DMSO-treated cells pre-exposed to hypoxia for 6 days (top). mTOR/PI3Ki: AH-to-CH phenopushing hits targeting mTOR and/or PI3Ks. BETi: AH-to-CH phenopushing hits targeting BET proteins. Other: AH-to-CH phenopushing hits other than mTOR/PI3Ki and BET proteins. c Normalized cell survival of each tested dose for the top 25 hits shown in b . d Ischemia rescue effect comparison between the most effective tested dose of phenopushing (red) and non-phenopushing, bioactive (blue) compounds. Kernel density estimation used to smooth histograms. Dashed lines: (grey) mean survival of DMSO-treated cells or (red) 3x DMSO survival. Source data are provided as a Source Data file.

Article Snippet: Screened compounds included (1) Selleck FDA-approved & Passed Phase I Drug Library (L3800), (2) Selleck Kinase Inhibitor Library (L1200), (3) Selleck Apoptosis Compound Library (L3300), (4) Selleck Epigenetics Compound Library (L1900), (5) Selleck Bioactive Library (L1700), (6) manually curated FDA-approved & Passed Phase I drugs from other vendors, and (7) manually curated bioactive compounds from other vendors.

Techniques: Rescue Assay, Comparison

Journal: Cancer Informatics

Article Title: Computational Evaluation of Bioactive Compounds from Colocasia affinis Schott as a Novel EGFR Inhibitor for Cancer Treatment

doi: 10.1177/11769351211049244

Figure Lengend Snippet: Molecular docking and MM-GBSA results of bioactive compounds from C. affinis Schott and reference compound.

Article Snippet: A quantum chemical calculation via density functional theory (DFT) was used to investigate the physicochemical properties of selected bioactive compounds from C. affinis Schott and predict compounds with prominent biological activities.

Techniques: