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2701 results

Full text 2026

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses

Yang H, Zhang L, Chen J, et al.

The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes (PMRGs) in LUAD using …

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Transcriptomics
Full text 2025

Statistically principled feature selection for single cell transcriptomics

Dollinger EP, Silkwood K, Atwood S, et al.

<h4>Background</h4>The high dimensionality of data in single cell transcriptomics (scRNAseq) requires investigators to choose subsets of genes ("feature selection") for downstream analysis (e.g., unsupervised cell clustering). The evaluation of different approaches to feature selection is …

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Single-Cell Transcriptomics
Full text 2026

Integrated transcriptomics and single-cell analysis identify ITGAX⁺ macrophages as key immunosuppressive factors in the prostate cancer tumor microenvironment

Shao Y, Song S, Wang W, et al.

<h4>Background</h4>Prostate cancer (PCa) is a leading cause of cancer-related death in men worldwide. The tumor microenvironment (TME), particularly its immune and stromal components, has a critical influence on PCa progression and patient outcomes. Identifying novel …

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Transcriptomics
Full text 2026

Integrated Network Pharmacology, Single-Cell Transcriptomics Unveil the Mechanistic Role of Morusin in Aortic Dissection

Wang Z, Zhang H, Xie Z, et al.

Aortic dissection is a life-threatening cardiovascular emergency with limited pharmacological options. This study focuses on elucidating the multi-target and multi-pathway mechanisms through which morusin mitigates aortic dissection progression, integrating network pharmacology, single-cell transcriptomics and experimental …

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Single-Cell Transcriptomics
Full text 2025

Single-cell atlas of COVID-19 based on multiple sample integration

Tang P, Wang J, Li H, et al.

This study addressed the significant challenges in understanding the specific immune landscape and predicting patient outcomes of COVID-19, particularly in severe cases. To support clinical practice, we aimed to build a comprehensive single-cell atlas of …

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Transcriptomics
Full text 2025

Spatial dissimilarity analysis in single-cell transcriptomics

Shi Q, Kristiansen K.

We develop the spatial dissimilarity method to uncover complex bivariate relationships in single-cell and spatial transcriptomics data, addressing challenges such as alternative splicing and allele-specific gene expression. Applying this method to detect alternative splicing in …

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Transcriptomics
Full text 2026

Integrative single-cell and bulk transcriptomics identify an &lt;i&gt;ALK&lt;/i&gt;-associated three-gene signature predicting neuroblastoma outcomes

Zhu A, Xia Y, Li X, et al.

<h4>Background</h4>Activating anaplastic lymphoma kinase (<i>ALK</i>) mutations define a clinically relevant subset of neuroblastoma (NB), yet <i>ALK</i>-linked transcriptional programs with robust prognostic value remain insufficiently characterized. This study aimed to identify <i>ALK</i>-associated transcriptional features across single-cell …

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Transcriptomics
Full text 2026

Single-cell sequencing: accurate disease detection

Wang X, Li N, Wang W, et al.

Early and accurate detection of diseases is of great significance for enhancing treatment outcomes and improving patient prognosis. The emergence of single-cell sequencing technology has brought new opportunities for this. This technology breaks through the …

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Single-Cell Transcriptomics