ID: u2os-bbbc039CLO:0009458

Bone · Homo sapiens

U2OS Osteosarcoma

Cell Line: U2OS · Osteosarcoma

View in Knowledge Graph

01Microscopy Image

1 Channels · 696 × 520 px · 0.3225 µm/px

U2OS Nuclear Morphology High-Content Screen

U2OS·fluorescence

Objective: 20x / 0.75 NA S Fluor · ImageXpress Micro Automated Cellular Imaging System

100%

20 µm

Provenance HUD

Staining: Hoechst 33342 (DNA nuclear counterstain)

Treatment: Untreated baseline culture (high-content array)

Resolution: 696 × 520 px (0.3225 µm/px)

Accession: BBBC039v1 · CC0 1.0 Universal Public Domain

Source: PMID: 30531998

02Acquisition & Provenance Metadata

MICROSCOPEImageXpress Micro Automated Cellular Imaging System

OBJECTIVE20x / 0.75 NA S Fluor

PIXEL RESOLUTION0.3225 µm / pixel

STAINING PROTOCOLHoechst 33342 (DNA nuclear counterstain)

EXPERIMENTAL TREATMENTUntreated baseline culture (high-content array)

ACCESSION & LICENSEBBBC039v1 · CC0 1.0 Universal Public Domain

03Biological Context & Oncology Function

U2OS is a human osteosarcoma cell line extensively used in high-content screening and cellular morphology profiling. Cells maintain wild-type p53 and represent an established standard for high-throughput nuclear segmentation and phenotypic screening.

Lineage: Epithelial-like osteogenic sarcoma

04Associated Genes (1)

TP53▤ Supported by literature

Maintains wild-type functional p53 signaling pathway in U2OS.

Ref: NCBI:7157

05Associated Proteins (1)

Cellular Tumor Antigen p53▤ Supported by literature

Regulates cell cycle arrest and apoptosis upon genotoxic stress.

Ref: UniProt:P04637

06Biological Pathways (1)

G2/M DNA Damage Checkpoint▤ Supported by literature

Arrests cell division in response to unreplicated or damaged genomic DNA.

Reactome: Reactome:R-HSA-69481

07Associated Diseases & Pathologies (1)

Osteosarcoma

Malignant primary neoplasm of bone producing immature bone matrix.

DOID: DOID:3347

08Phenotypic Profiles & Morphology Metrics

Uniform Ellipsoid Nuclear Profile□ Observed in image

Regular convex nuclear boundaries typical of untreated adherent monolayers.

Model-Derived Nuclear Morphometry (StarDist2D (Held-out Test: IoU 0.923, F1 0.951))

OBJECTS SEGMENTED21960

MEAN CIRCULARITY0.951

MEAN ASPECT RATIO1.35

EVIDENCE LEVEL□ Observed

09Literature Evidence (1)

Caicedo et al. Nat Methods (2019)PubMed:30531998

Nucleus segmentation in high-content screening using deep convolutional neural networks and the BBBC039 benchmark.

▤ Supported by literature

10Dataset & Source Repository

Dataset Repository:Broad Bioimage Benchmark Collection (BBBC039)

Accession Identifier:BBBC039v1

Licensing Terms:CC0 1.0 Universal Public Domain

Scientific Attribution:Broad Institute Imaging Platform / Caicedo et al.