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2701 results

Full text 2026

Exploring the Role of <i>HNRNPA3</i> in Breast Cancer Progression, Immune Microenvironment, and Therapeutic Sensitivity: A Multiomics and Functional Prediction Study

Gong L, Xu Y, Guo W, et al.

<h4>Background</h4>Breast invasive carcinoma (BRCA) remains a leading cause of female cancer mortality, necessitating novel biomarkers and therapeutic targets. Heterogeneous nuclear ribonucleoprotein A3 (HNRNPA3) emerges as a potential regulator in tumor progression and immune modulation, yet …

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Transcriptomics
Full text 2026

Single-nucleus and spatial transcriptomics reveal intestinal cellular heterogeneity, differentiation, and cell communication mechanisms in SAP-induced intestinal injury

Zhang L, Xu C, Su T, et al.

<h4>Background</h4>Acute pancreatitis (AP) ranges from mild to severe, and severe disease frequently causes multi-organ damage, with intestinal injury being a major complication. The mechanisms underlying SAP-induced intestinal injury remain unclear, particularly regarding spatial cellular reorganization …

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Transcriptomics
Full text 2025

A supervised Bayesian method for time (re)annotation of transcriptomics data

Nushi E, Douillard FP, Selby K, et al.

Transcriptomics experiments are often conducted to capture changes in gene expression over time. However, time annotations may be missing, imprecise, or not reflect the same physiological state of the bacterial culture between different experiments. Assigning …

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Transcriptomics
Full text 2026

RNA-based CLEM (RCLEM) bridging RNA localisation and ultrastructural mapping in 3D

Verhaege D, Van Acker L, Wagner C, et al.

Spatial transcriptomics and in situ hybridisation techniques have become essential for contextualising single-cell RNA sequencing (scRNA-seq) data by mapping cell type- and state-specific mRNA expression within intact tissues. Beyond validating scRNA-seq predictions, these spatial methods …

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Transcriptomics
Full text 2026

Advances in the application of multi-omics in tumor immunotherapy

Zhang T, Luo QY, Zhu Y.

As a pivotal therapeutic approach following surgery, chemoradiotherapy, and molecular targeted therapy, tumor immunotherapy has revolutionized survival outcomes for cancer patients, with immune checkpoint inhibitors (ICIs) demonstrating remarkable efficacy in clinical practice. However, challenges such …

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Transcriptomics
Full text 2026

The Muco-Microbiotic Layer in Respiratory Pathophysiology: Integrating Transcriptomics, Inflammation Phenotypes, and Clinical Biomarkers in Precision Pulmonology

Candia C, Carista A, Gratie MI, et al.

The lower airways are a dynamic environment where physical, microbial, and molecular factors intersect to regulate respiratory health and disease. The muco-microbiotic (MuMi) layer, composed of mucus, resident microbes, and extracellular vesicles (EVs), is not …

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Transcriptomics
Full text 2026

SpaFun: discovering domain-specific spatial expression patterns and new disease-relevant genes using functional principal component analysis

Jiang X, Guo Y, Guo L, et al.

SpaFun is a novel, non-model-based method developed to address limitations in existing spatially variable gene detection techniques, particularly for large-scale spatially resolved transcriptomics datasets. These limitations include computational inefficiency, limited statistical power with increasing data …

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Bioinformatics Transcriptomics
Full text 2026

Artificial intelligence models for survival prediction in colorectal cancer: a systematic review of time-to-event approaches

Alshamrani AAH, Alghamdi KA, Alshahrani MF, et al.

<h4>Background</h4>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, with marked heterogeneity in patient survival. Conventional clinicopathologic staging provides limited individualized prognostic information. Artificial intelligence (AI) and machine learning methods have enabled survival-aware …

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Transcriptomics
Full text 2026

DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments

Honcharuk V, Zainab A, Horimoto Y, et al.

Spatial transcriptomics enables detailed mapping of gene expression within tissues, revealing spatial organization of cellular and molecular processes. However, generating such data is costly and technically challenging, and analysis requires advanced bioinformatics skills. Although public …

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Bioinformatics Single-Cell Transcriptomics