AIMC Topic: Single-Cell Analysis

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Integrated machine learning and single-cell analysis identify chromatin-remodeling gene signature for diagnosis and prognosis in nasopharyngeal carcinoma.

Clinical and experimental medicine
This study examines the function of chromatin-remodeling genes (CRGs) in nasopharyngeal carcinoma (NPC), with an emphasis on their potential as prognostic and diagnostic biomarkers. We examined gene expression information collected from multiple data...

Transforming microfluidics for single-cell analysis with robotics and artificial intelligence.

Lab on a chip
Single-cell analysis has advanced biomedical research by revealing cellular heterogeneity with unprecedented resolution, identifying rare subpopulations that drive disease progression and therapeutic resistance. Microfluidics is central to this advan...

Integrating bulk and single-cell RNA sequencing data to dissect genetic links between periodontitis and obstructive sleep apnea.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Periodontitis (PD) and obstructive sleep apnea (OSA) are widespread conditions with profound health consequences. Increasing evidence suggests shared pathophysiological mechanisms between PD and OSA, prompting this study to explore their gen...

Efferocytosis-related signatures identified via Single-cell analysis and machine learning predict TNBC outcomes and immunotherapy response.

Scientific reports
Triple-negative breast cancer (TNBC) is characterized by poor prognosis and limited targeted treatment options. Efferocytosis, an essential immune mechanism for the clearance of apoptotic cells, is increasingly recognized as a key contributor to tumo...

Multi-modal single-cell platform for nanoparticle-enhanced time-series metabolic profiles of CD8 T cell exhaustion in tumor immunosurveillance.

Journal of nanobiotechnology
Cytotoxic T cells (CD8) play a pivotal role in immunosurveillance by identifying and eliminating tumor cells. However, the onset of CD8 T cell exhaustion, characterized by overexpression of immune checkpoint receptors, impairs their function, allowin...

High-resolution time-lapse imaging of droplet-cell dynamics optimal transport and contrastive learning.

Lab on a chip
Single-cell analysis is essential for uncovering heterogeneous biological functions that arise from intricate cellular responses. Here, microfluidic droplet arrays enable high-throughput data collection through cell encapsulation in picoliter volumes...

Construction and validation of an anoikis-related prognostic model for lung adenocarcinoma based on bulk and single-cell transcriptomic data.

PloS one
Lung adenocarcinoma (LUAD) is a highly aggressive lung cancer with poor prognosis due to lack of reliable biomarkers. Resistance to anoikis drives tumor progression and metastasis. This study aims to develop and validate an anoikis-related prognostic...

Transformative advances in single-cell omics: a comprehensive review of foundation models, multimodal integration and computational ecosystems.

Journal of translational medicine
Recent advances in single-cell multi-omics technologies have revolutionized cellular analysis, enabling comprehensive exploration of cellular heterogeneity, developmental trajectories, and disease mechanisms at unprecedented resolution. Foundation mo...