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

Clonal diversity revealed by morphoproteomic and copy number profiles of single prostate cancer cells at diagnosis

8 Dec 2017

Abstract excerpt

metastatic PCa, multiplatform single cell profiling was performed using high definition single cell analysis (HD-SCA). HD-SCA enabled morphoproteomic and morphogenomic profiling of single cells from touch preparations of tissue cores (prostate and bone marrow biopsies) as well as liquid samples (peripheral blood and bone marrow aspirate). Morphology, nuclear features, copy number alterations, and protein...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Molecular Biology Techniques and Applications
Share to Prostate Cancer Treatment and Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32670616
DOI: 10.1088/2057-1739/aaa00b

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

Clonal diversity revealed by morphoproteomic and copy number profiles of single prostate cancer cells at diagnosisPMID 32670616Read ↗

Single-cell genomic analysis of cancer cells from one treatment-naïve patient with metastatic prostate cancer.Semantic proximity Read ↗

Identification of epithelial and mesenchymal circulating tumor cells in clonal lineage of an aggressive prostate cancer caseSemantic proximity Read ↗

Combined Genome and Transcriptome Analysis of Single Disseminated Cancer Cells from Bone Marrow of Prostate Cancer Patients Reveals Unexpected TranscriptomesSemantic proximity Read ↗

Integrated analysis of single-cell and bulk transcriptomes uncovers clinically relevant molecular subtypes in human prostate cancerSemantic proximity Read ↗

Deciphering single-cell heterogeneity and cellular ecosystem dynamics during prostate cancer progressionSemantic proximity Read ↗

Single-cell dissection of a rare human prostate basal cell carcinomaSemantic proximity Read ↗

Multi-omics evaluation of cell lines as models for metastatic prostate cancerSemantic proximity Read ↗

Unveiling novel double-negative prostate cancer subtypes through single-cell RNA sequencing analysisSemantic proximity Read ↗

Multi-omics evaluation of cell lines as models for metastatic prostate cancer.Semantic proximity Read ↗

Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironmentSemantic proximity Read ↗

Single-Cell RNA-seq Reveals a Developmental Hierarchy Super-Imposed Over Subclonal Evolution in the Cellular Ecosystem of Prostate Cancer.Semantic proximity Read ↗

The implications of single-cell RNA-seq analysis in prostate cancer: unraveling tumor heterogeneity, therapeutic implications and pathways towards personalized therapySemantic proximity Read ↗

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