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

Characterizing the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTER

29 Nov 2024

Abstract excerpt

Proliferation is a key hallmark of cancer, but whether it differs between evolutionarily distinct clones co-existing within a tumor is unknown. We introduce the Single-cell Proliferation Rate Inference in Non-homogeneous Tumors through Evolutionary Routes (SPRINTER) algorithm that uses single-cell whole-genome DNA sequencing data to enable accurate identification and clone assignment of S- and G2-phase cells, as...

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: 39614124
DOI: 10.1038/s41588-024-01989-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Characterizing the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTERPMID 39614124Read ↗

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

Evolutionary dynamics and molecular features of intra-tumor heterogeneitySemantic proximity Read ↗

Reconstructing tumor clonal heterogeneity and evolutionary relationships based on tumor DNA sequencing data.Semantic proximity Read ↗

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

Quantifying cell divisions along evolutionary lineages in cancerSemantic proximity Read ↗

Genetic subclone architecture of tumor clone-initiating cells in colorectal cancer.Semantic proximity Read ↗

Delineating cancer evolution with single-cell sequencing.Semantic proximity Read ↗

Unraveling the clonal hierarchy of somatic genomic aberrations.Semantic proximity Read ↗

Tumour evolution as ground truth for cancer whole-genome sequencingSemantic proximity Read ↗

Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing.Semantic proximity Read ↗

Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.Semantic proximity Read ↗

Quantifying cell divisions along evolutionary lineages in cancer.Semantic proximity Read ↗

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