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

Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.

Nature reviews. Genetics - 1 Jan 2021

Nam Anna S, Chaligne Ronan, Landau Dan A

Abstract excerpt

Cancer represents an evolutionary process through which growing malignant populations genetically diversify, leading to tumour progression, relapse and resistance to therapy. In addition to genetic diversity, the cell-to-cell variation that fuels evolutionary selection also manifests in cellular states, epigenetic profiles, spatial distributions and interactions with the microenvironment. Therefore, the study of...

Read the complete abstract on PubMed

Topics

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

Share to Clonal Evolution
Share to Computational Biology
Share to Epigenomics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genomics

Share to Neoplasms

Share to Single-Cell Analysis

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 32807900
DOI: 10.1038/s41576-020-0265-5
PMCID: PMC8450921

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.PMID 32807900Read ↗

Single‐Cell Multi‐Omics and Its Prospective Application in Cancer BiologySemantic proximity Read ↗

Decoding Tumor Heterogeneity through Multi Omics: Insights into Cancer Evolution, Microenvironment and Therapy ResistanceSemantic proximity Read ↗

Mapping genomic and epigenomic evolution in cancer ecosystems.Semantic proximity Read ↗

Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in CancerSemantic proximity Read ↗

Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell BiologySemantic proximity Read ↗

Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics ToolsSemantic proximity Read ↗

Emerging technologies of single-cell multi-omicsSemantic proximity Read ↗

Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancerSemantic proximity Read ↗

The Origins of Phenotypic Heterogeneity in Cancer.Semantic proximity Read ↗

Unravelling biology and shifting paradigms in cancer with single-cell sequencingSemantic proximity Read ↗

Leveraging single‐cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancersSemantic proximity Read ↗

Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolutionSemantic proximity Read ↗

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