Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Improving drug discovery with high-content phenotypic screens by systematic selection of reporter cell lines.

Nature biotechnology - 1 Jan 2016

Kang Jungseog, Hsu Chien-Hsiang, Wu Qi, Liu Shanshan, Coster Adam D, Posner Bruce A, Altschuler Steven J, Wu Lani F

Abstract excerpt

High-content, image-based screens enable the identification of compounds that induce cellular responses similar to those of known drugs but through different chemical structures or targets. A central challenge in designing phenotypic screens is choosing suitable imaging biomarkers. Here we present a method for systematically identifying optimal reporter cell lines for annotating compound libraries (ORACLs), whose...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cell Line
Share to Drug Discovery

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 26655497
DOI: 10.1038/nbt.3419
PMCID: PMC4844861

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Improving drug discovery with high-content phenotypic screens by systematic selection of reporter cell lines.PMID 26655497Read ↗

Selection of Optimal Cell Lines for High-Content Phenotypic Screening.Semantic proximity Read ↗

Next-generation phenotypic screening.Semantic proximity Read ↗

Improving Phenotypic Measurements in High-Content Imaging ScreensSemantic proximity Read ↗

Image-based chemical screening.Semantic proximity Read ↗

Image-based high-content screening in drug discovery.Semantic proximity Read ↗

Innovating cancer drug discovery with refined phenotypic screens.Semantic proximity Read ↗

A robust high-content imaging approach for probing the mechanism of action and phenotypic outcomes of cell-cycle modulators.Semantic proximity Read ↗

High-resolution phenotypic profiling of natural products-induced effects on the single-cell level.Semantic proximity Read ↗

Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.Semantic proximity Read ↗

High Content Phenotypic Profiling in Oesophageal Adenocarcinoma Identifies Selectively Active Pharmacological Classes of Drugs for Repurposing and Chemical Starting Points for Novel Drug DiscoverySemantic proximity Read ↗

Robust Classification of Small-Molecule Mechanism of Action Using a Minimalist High-Content Microscopy Screen and Multidimensional Phenotypic Trajectory Analysis.Semantic proximity Read ↗

Increasing the Content of High-Content Screening: An Overview.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.