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

Biophysical Informatics Approach For Quantifying Phenotypic Heterogeneity In Cancer Cell Migration In Confined Microenvironments.

Bioinformatics (Oxford, England) - 4 Aug 2021

Zhang Xingjian, Mak Michael

Abstract excerpt

MOTIVATION: Cancer cell heterogeneity can manifest genetically and phenotypically. Bioinformatics methods have been used to analyze complex genomics and transcriptomics data, but have not been well-established for analyzing biophysical data of phenotypically heterogeneous tumor cells. Here, we take an informatics approach to analyze the biophysical data of MDA-MB-231 cells, a widely used breast cancer cell line,...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Cell Line, Tumor
Share to Cell Movement

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computational Biology

Share to Phenotype

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 33523141
DOI: 10.1093/bioinformatics/btab053
PMCID: PMC11579712

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Biophysical Informatics Approach For Quantifying Phenotypic Heterogeneity In Cancer Cell Migration In Confined Microenvironments.PMID 33523141Read ↗

Predicting cancer cell invasion by single-cell physical phenotyping.Semantic proximity Read ↗

Gene expression-phenotype association study reveals the dual role of TNF-α/TNFR1 signaling axis in confined breast cancer cell migration.Semantic proximity Read ↗

Deciphering Pre-existing and Induced 3D Genome Architecture Changes involved in Constricted Melanoma MigrationSemantic proximity Read ↗

Automated Intelligent Microscopy for Phenotype Identification, Spatial Localization, and Retargeting of Cells.Semantic proximity Read ↗

Microfluidic cytometric analysis of cancer cell transportability and invasiveness.Semantic proximity Read ↗

Trait variability of cancer cells quantified by high-content automated microscopy of single cells.Semantic proximity Read ↗

Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasisSemantic proximity Read ↗

An integrated microfluidic chip for the capture, migration and molecular phenotyping of single circulating tumor cells.Semantic proximity Read ↗

Guidance receptor-mediated mechanocompliance of GBM cells facilitates immune-silent invasionSemantic proximity Read ↗

Decoding Single Cell Morphology in Osteotropic Breast Cancer Cells for Dissecting Their Migratory, Molecular and Biophysical HeterogeneitySemantic proximity Read ↗

Altered physical phenotypes of leukemia cells that survive chemotherapy treatment.Semantic proximity Read ↗

Regulation of micropatterned curvature-dependent FA heterogeneity on cytoskeleton tension and nuclear DNA synthesis of malignant breast cancer cellsSemantic proximity Read ↗

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