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

Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells

22 Apr 2020

Abstract excerpt

We collated publicly available single-cell expression profiles of circulating tumor cells (CTCs) and showed that CTCs across cancers lie on a near-perfect continuum of epithelial to mesenchymal (EMT) transition. Integrative analysis of CTC transcriptomes also highlighted the inverse gene expression pattern between PD-L1 and MHC, which is implicated in cancer immunotherapy. We used the CTCs expression profiles in...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Cancer Genomics and Diagnostics
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32331451
DOI: 10.3390/jcm9041206

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor CellsPMID 32331451Read ↗

Single Cell Profiling of Circulating Tumor Cells: Transcriptional Heterogeneity and Diversity from Breast Cancer Cell LinesSemantic proximity Read ↗

Heterogeneity of Circulating Tumor Cell Neoplastic Subpopulations Outlined by Single-Cell TranscriptomicsSemantic proximity Read ↗

Accession of Tumor Heterogeneity by Multiplex Transcriptome Profiling of Single Circulating Tumor CellsSemantic proximity Read ↗

Optimizing Detection of Circulating Tumor Cells in Breast Cancer: Unveiling New Markers for Clinical ApplicationsSemantic proximity Read ↗

Marker-free characterization of single live circulating tumor cell full-length transcriptomesSemantic proximity Read ↗

EpCAM based capture detects and recovers circulating tumor cells from all subtypes of breast cancer except claudin-low.Semantic proximity Read ↗

A Molecular Voyage: Multiomics Insights into Circulating Tumor CellsSemantic proximity Read ↗

New frontiers in circulating tumor cell analysis: A reference guide for biomolecular profiling toward translational clinical useSemantic proximity Read ↗

Clinical validation of an ultra high-throughput spiral microfluidics for the detection and enrichment of viable circulating tumor cells.Semantic proximity Read ↗

Immunomagnetic-Enriched Subpopulations of Melanoma Circulating Tumour Cells (CTCs) Exhibit Distinct Transcriptome ProfilesSemantic proximity Read ↗

Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumorsSemantic proximity Read ↗

Profiling protein expression in circulating tumour cells using microfluidic western blottingSemantic proximity Read ↗

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