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

miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.

Breast cancer research : BCR - 19 Apr 2013

Riaz Muhammad, van Jaarsveld Marijn T M, Hollestelle Antoinette, Prager-van der Smissen Wendy J C, Heine Anouk A J, Boersma Antonius W M, Liu Jingjing, Helmijr Jean, Ozturk Bahar, Smid Marcel, Wiemer Erik A, Foekens John A, Martens John W M

Abstract excerpt

INTRODUCTION: Breast cancer is a genetically and phenotypically complex disease. To understand the role of miRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer cell lines to identify miRNAs associated with th...

Read the complete abstract on PubMed

Topics

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

Share to Cadherins
Share to Chromosome Aberrations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cyclin-Dependent Kinase Inhibitor p16

Share to DNA Copy Number Variations

Share to MicroRNAs

Share to Oligonucleotide Array Sequence Analysis

Share to Receptor, ErbB-2

Share to Tumor Cells, Cultured

Source

Open in PubMed Open full text

Identifiers

PMID: 23601657
DOI: 10.1186/bcr3415
PMCID: PMC3672661

Genes

ERBB2
BRCA1
PTEN

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-23601657-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.PMID 23601657Read ↗

Refinement of breast cancer molecular classification by miRNA expression profilesSemantic proximity Read ↗

Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene DiscoverySemantic proximity Read ↗

New Extended Investigations in Breast Cancer Diagnosis Including miRNAsSemantic proximity Read ↗

Modulatory Role of microRNAs in Triple Negative Breast Cancer with Basal-Like PhenotypeSemantic proximity Read ↗

Genome-wide DNA methylation and expression patterns of microRNAs in relation to breast cancer subtypes among American women of African and European ancestrySemantic proximity Read ↗

Integrated genomic analysis of triple-negative breast cancers reveals novel microRNAs associated with clinical and molecular phenotypes and sheds light on the pathways they control.Semantic proximity Read ↗

Identification of microRNA clusters cooperatively acting on Epithelial to Mesenchymal Transition in Triple Negative Breast CancerSemantic proximity Read ↗

Subtype-associated microRNA expression patterns in Taiwanese breast cancer: an exploratory microarray analysisSemantic proximity Read ↗

Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.Semantic proximity Read ↗

The emerging role of miRNA clusters in breast cancer progression.Semantic proximity Read ↗

Investigating miRNA signatures in metastatic breast cancer: An <i>in-silico</i> analysisSemantic proximity Read ↗

MicroRNA sequence and expression analysis in breast tumors by deep sequencing.Semantic proximity Read ↗

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