Identification and Validation of a Two-Gene NK Cell-Related Risk Model for COPD: Integration of Single-Cell and Bulk RNA-Seq Analysis.

doi:10.2147/COPD.S618802

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

Community

Back to search

Article

Identification and Validation of a Two-Gene NK Cell-Related Risk Model for COPD: Integration of Single-Cell and Bulk RNA-Seq Analysis.

International journal of chronic obstructive pulmonary disease - 1 Jan 2026

Fu Xue, Dong Jiawei, Yang Jian, Zhang Xiaotian, Cai Shangkun, Zhang Yiwei, Lv Shenglong, Zhang Meng

Abstract excerpt

Background: Chronic obstructive pulmonary disease (COPD) involves chronic inflammation with potential involvement of natural killer (NK) cells, but NK cell-related diagnostic markers remain limited. This study aimed to identify NK cell-related hub genes and construct a risk model for COPD. Methods: This work was mainly based on multiple transcriptomic datasets, including single-cell RNA-seq data (GSE173896, 5...

Read the complete abstract on PubMed

Topics

Pulmonary Disease, Chronic Obstructive
Killer Cells, Natural
Humans
Risk Assessment
Risk Factors

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

RNA-Seq

Single-Cell Gene Expression Analysis

Single-Cell Analysis

Transcriptome

Predictive Value of Tests

Genetic Predisposition to Disease

Gene Expression Profiling

Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 42741419
DOI: 10.2147/COPD.S618802
PMCID: PMC13573790

Genes

JUNB
TNFAIP3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 23 Oct 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

Identification and Validation of a Two-Gene NK Cell-Related Risk Model for COPD: Integration of Single-Cell and Bulk RNA-Seq Analysis.PMID 42741419Read ↗

Integrative weighted molecular network construction from transcriptomics and genome wide association data to identify shared genetic biomarkers for COPD and lung cancerSemantic proximity Read ↗

Integrated immune and programmed cell death analysis identifies NR4A2 as a candidate blood biomarker in asthmaSemantic proximity Read ↗

Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learningSemantic proximity Read ↗

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity.Semantic proximity Read ↗

Identification and Validation of a Novel Signature Based on NK Cell Marker Genes to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma by Integrated Analysis of Single-Cell and Bulk RNA-SequencingSemantic proximity Read ↗

Bioinformatics analyses of NET-related hub genes in chronic obstructive pulmonary disease and their association with immune infiltrationSemantic proximity Read ↗

Identification of novel NK cell‑associated targets in severe asthma using integrated bioinformatics analysisSemantic proximity Read ↗

Identification of novel biomarkers related to neutrophilic inflammation in COPDSemantic proximity Read ↗

Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methodsSemantic proximity Read ↗

Screening and identification of tissue-infiltrating immune cells and genes for patients with emphysema phenotype of COPD.Semantic proximity Read ↗

Development and validation of asthma risk prediction models using co- expression gene modules and machine learning methodsSemantic proximity Read ↗

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