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1073 results

Full text 2026

Exploring glycerophospholipid metabolism in nasopharyngeal carcinoma: interactions between malignant epithelial cells and CCL11-expressing fibroblasts

Wang L, Wang D, Li S, et al.

<h4>Background</h4>Nasopharyngeal carcinoma (NPC) is associated with aberrant cellular metabolism and interactions between tumor and stromal cells. This study aims to elucidate the role of glycerophospholipid metabolism in NPC, particularly focusing on the interplay between malignant …

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Single-Cell Transcriptomics
Full text 2026

Optimal gene panel selection for targeted spatial transcriptomics experiments

Lu H, Fang L, Zeng O, et al.

Spatial transcriptomics analysis is a powerful approach for dissecting the structure of tissue microenvironment and uncovering the mechanism of cell-cell communications. However, existing technologies are limited by either spatial resolution or gene coverage. Most single-cell-resolution …

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Single-Cell Transcriptomics
Full text 2026

Genome assembly and annotation of the olive grass mouse Abrothrix olivacea reveal transcriptomic and cellular adaptations across contrasting biomes

Magallanes Alba ME, Baricalla A, Feijoo M, et al.

Abrothrix olivacea (Waterhouse, 1837), the olive grass mouse, is a widely distributed sigmodontine rodent that inhabits a broad range of environments, from the hyper arid deserts of southernmost Perú and northern Chile to the Patagonian …

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Genome Assembly Single-Cell Transcriptomics
Full text 2026

Single-Cell Analysis Delineates Glutathione Metabolism-Related Gene Signatures in the Glioblastoma Microenvironment and Identifies GSTA4 as a Regulator of Malignant Behaviors

Feng B, Wang J, Shang W, et al.

<h4>Background and objective</h4>The cellular distribution characteristics and functional mechanisms of glutathione (GSH) metabolism within the tumor microenvironment (TME) of glioblastoma multiforme (GBM) remain poorly understood. This study aims to elucidate the cellular landscape and GSH …

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Single-Cell Transcriptomics
Full text 2026

Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review

Khan MS, Saeed M, Arham M, et al.

Artificial intelligence (AI) is increasingly used in cancer research, enabling integrative analysis of complex biomedical data to identify actionable therapeutic vulnerabilities. This review specifically examines how AI advances mechanistic cancer target discovery and translational drug …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Epstein-Barr Virus Infection at Single-Cell Resolution

SoRelle ED.

Epstein-Barr virus (EBV) infection has been studied at single-cell resolution for six decades and counting. Such investigations can reveal virus-host interactions and their dependence on viral strain, cellular niche, infection program, immune response regulation, and …

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Single-Cell
Full text 2026

An expanded role for single-cell chemical genomics profiling in drug discovery

Wyatt A, Hoffer-Hawlik K, Giglio RM, et al.

The integration of single-cell genomics into the chemical genetics paradigm is reshaping how researchers profile drug activity, prioritize lead candidates, and uncover new therapeutic opportunities. Traditional chemical genetic approaches, though instrumental in linking compounds to …

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Single-Cell
Full text 2026

Immune profiling of T cells: A comparative analysis of single-cell TCR sequencing using 10X Genomics and Parse Biosciences platforms

Kristjánsdóttir N, Thorsen K, Birkbak NJ, et al.

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for characterising the immune landscape. Multiple technologies are available, each with distinct specificities and inherent biases. Here, we focus on two technologies-10X Genomics and Parse Biosciences-for the …

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Single-Cell Transcriptomics