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

Context-aware single-cell multiomics approach identifies cell-type-specific lung cancer susceptibility genes.

Nature communications - 12 Sept 2024

Long Erping, Yin Jinhu, Shin Ju Hye, Li Yuyan, Li Bolun, Kane Alexander, Patel Harsh, Sun Xinti, Wang Cong, Luong Thong, Xia Jun, Han Younghun, Byun Jinyoung, Zhang Tongwu, Zhao Wei, Landi Maria Teresa, Rothman Nathaniel, Lan Qing, Chang Yoon Soo, Yu Fulong, Amos Christopher I, Shi Jianxin, Lee Jin Gu, Kim Eun Young, Choi Jiyeon

Abstract excerpt

Genome-wide association studies (GWAS) identified over fifty loci associated with lung cancer risk. However, underlying mechanisms and target genes are largely unknown, as most risk-associated variants might regulate gene expression in a context-specific manner. Here, we generate a barcode-shared transcriptome and chromatin accessibility map of 117,911 human lung cells from age/sex-matched ever- and never-smokers...

Read the complete abstract on PubMed

Topics

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

Share to Chromatin
Share to Gene Expression Regulation, Neoplastic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lung Neoplasms

Share to Multiomics

Share to Quantitative Trait Loci

Share to Regulatory Sequences, Nucleic Acid

Share to Single-Cell Analysis

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 39266564
DOI: 10.1038/s41467-024-52356-9
PMCID: PMC11392933

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Context-aware single-cell multiomics approach identifies cell-type-specific lung cancer susceptibility genes.PMID 39266564Read ↗

Context-aware single-cell multiome approach identified cell-type specific lung cancer susceptibility genesSemantic proximity Read ↗

Single-cell eQTL mapping reveals cell-type-specific genetic regulation in lung cancer.Semantic proximity Read ↗

Single-Cell eQTL Mapping Reveals Cell Type-Specific Genetic Regulation in Lung CancerSemantic proximity Read ↗

Integrative Analysis of GWAS and Single-Cell eQTL Data Identifies Immune Cell-Type-Specific Genetic Signals Co-occurring in Inflammatory Diseases and Lung Cancer RiskSemantic proximity Read ↗

Single-Cell Mendelian Randomization Identifies Cell-Type Specific Genetic Drivers of Lung Cancer SubtypesSemantic proximity Read ↗

Cell type-specific and disease-associated eQTL in the human lungSemantic proximity Read ↗

Cell-type-specific and disease-associated expression quantitative trait loci in the human lung.Semantic proximity Read ↗

Genome-wide association, single-cell, and spatial transcriptomics analyses reveal the role of the STK24-expressing positive cells in LUAD progression and the tumor microenvironment, identifying STK24 as a potential therapeutic target.Semantic proximity Read ↗

The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and DiseaseSemantic proximity Read ↗

An integrated cell atlas of the lung in health and diseaseSemantic proximity Read ↗

A Multimodal Spatial and Epigenomic Atlas of Human Adult Lung TopographySemantic proximity Read ↗

An atlas of TF driven gene programs across human cellsSemantic proximity Read ↗

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