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

Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay.

BMC bioinformatics - 16 Oct 2013

Pau Gregoire, Walter Thomas, Neumann Beate, Hériché Jean-Karim, Ellenberg Jan, Huber Wolfgang

Abstract excerpt

BACKGROUND: The combination of time-lapse imaging of live cells with high-throughput perturbation assays is a powerful tool for genetics and cell biology. The Mitocheck project employed this technique to associate thousands of genes with transient biological phenotypes in cell division, cell death and migration. The original analysis of these data proceeded by assigning nuclear morphologies to cells at each...

Read the complete abstract on PubMed

Topics

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

Share to RNA, Small Interfering
Share to Cell Cycle
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HeLa Cells

Share to Image Processing, Computer-Assisted

Share to Mitosis

Share to RNA Interference

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 24131777
DOI: 10.1186/1471-2105-14-308
PMCID: PMC3827932

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay.PMID 24131777Read ↗

CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging.Semantic proximity Read ↗

Methods and sensors for functional genomic studies of cell-cycle transitions in single cells.Semantic proximity Read ↗

High-speed fluorescence image-enabled cell sorting.Semantic proximity Read ↗

Lessons from genetics: interpreting complex phenotypes in RNAi screens.Semantic proximity Read ↗

Automatic identification and clustering of chromosome phenotypes in a genome wide RNAi screen by time-lapse imaging.Semantic proximity Read ↗

Unsupervised automated high throughput phenotyping of RNAi time-lapse movies.Semantic proximity Read ↗

Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes.Semantic proximity Read ↗

Image-Based Tracking of Heterogeneous Single-Cell Phenotypes.Semantic proximity Read ↗

Time series modeling of live-cell shape dynamics for image-based phenotypic profiling.Semantic proximity Read ↗

High-throughput analysis of spatio-temporal dynamics in Dictyostelium.Semantic proximity Read ↗

Large-Scale Analysis of CRISPR/Cas9 Cell-Cycle Knockouts Reveals the Diversity of p53-Dependent Responses to Cell-Cycle Defects.Semantic proximity Read ↗

High-throughput RNAi screening by time-lapse imaging of live human cells.Semantic proximity Read ↗

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