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

Coalescing single-cell genomes and transcriptomes to decode breast cancer progression.

Cell - 30 Oct 2025

Wang Kaile, Ye Rui, Bai Shanshan, Xiao Zhenna, Yang Lei, Li Jianzhuo, Tang Chenling, Sei Emi, Peng Jinyu, Casasent Anna K, Lin Steven H, Nagi Chandandeep, Thompson Alastair M, Krishnamurthy Savitri, Navin Nicholas E

Abstract excerpt

Understanding epithelial lineages of breast cancer and genotype-phenotype relationships requires direct measurements of the genome and transcriptome of the same single cells at scale. To achieve this, we developed wellDR-seq, a high-genomic-resolution, high-throughput method to simultaneously profile the genome and transcriptome of thousands of single cells. We profiled 33,646 single cells from 12...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Disease Progression

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Copy Number Variations

Share to Gene Expression Regulation, Neoplastic

Share to Genome, Human

Share to Multigene Family

Share to Single-Cell Gene Expression Analysis

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 40912251
DOI: 10.1016/j.cell.2025.08.012
PMCID: PMC12416759

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Coalescing single-cell genomes and transcriptomes to decode breast cancer progression.PMID 40912251Read ↗

Inferring Phenotypes of Copy Number Clones in Cancer Populations Using TreeAlign.Semantic proximity Read ↗

Characterizing the allele- and haplotype-specific copy number landscape of cancer genomes at single-cell resolution with CHISELSemantic proximity Read ↗

Characterizing allele- and haplotype-specific copy numbers in single cells with CHISEL.Semantic proximity Read ↗

Defining the regulatory logic of breast cancer using single-cell epigenetic and transcriptome profilingSemantic proximity Read ↗

Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.Semantic proximity Read ↗

Single-cell copy number lineage tracing enabling gene discoverySemantic proximity Read ↗

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes.Semantic proximity Read ↗

Integrated single-cell whole genome sequencing and spatial transcriptomics reveal latent intra-tumoral heterogeneity in ovarian cancerSemantic proximity Read ↗

Clonal evolution in breast cancer revealed by single nucleus genome sequencing.Semantic proximity Read ↗

Principles of subclonal gene dosage across human cancerSemantic proximity Read ↗

Deciphering Human Tumor Biology by Single-Cell Expression ProfilingSemantic proximity Read ↗

Evolutionary tracking of cancer haplotypes at single-cell resolutionSemantic proximity Read ↗

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