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2701 results

Full text 2026

Single-cell and spatial transcriptomics reveal that the CXCL12-CXCR4 axis drives the immune-desert phenotype in small cell lung cancer by recruiting immunosuppressive CXCR4<sup>+</sup> neutrophils and S100A8<sup>+</sup> monocytes

Zeng P, Li HF, Shu WB, et al.

<h4>Background</h4>Small cell lung cancer (SCLC) is a recalcitrant malignancy with limited responses to immunotherapy, largely due to its uniquely immunosuppressive tumor microenvironment (TME). However, the molecular mechanisms driving this phenotype remain incompletely understood.<h4>Methods</h4>We integrated single-cell …

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Transcriptomics
Full text 2025

Multi-omics strategies for biomarker discovery and application in personalized oncology

Jiang Z, Zhang H, Gao Y, et al.

Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology. Despite rapid technological developments, a comprehensive synthesis addressing integration strategies, analytical workflows, and translational applications has …

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Single-Cell Transcriptomics
Full text 2026

TMEM184A promotes progression and drug resistance in colorectal cancer: a bioinformatics and clinical study

Bai X, Bai Z, Bu P, et al.

The cellular origin and molecular mechanisms underlying therapeutic resistance in colorectal cancer remain largely unclear.This study integrates single-cell transcriptomics, spatial transcriptomics, molecular docking, and multi-cohort public databases to systematically elucidate the epithelial cell-driven drug resistance …

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Bioinformatics Single-Cell Structural Variants
Full text 2026

Leveraging AI for cell biology discovery

Simizo A, de Morais M, Vesco M, et al.

Artificial intelligence (AI) has become a transformative tool in cell biology, driving discoveries through the analysis of complex biological data. This review explores the diverse applications of AI, including its impact on microscopy, imaging, drug …

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Single-Cell Transcriptomics
Full text 2026

PFAS Mixture Composition and Internal Exposure Profiles Shape Biological Responses under Field-Realistic Exposure

Vajda AM, Jenkins JA, Bertolatus DW, et al.

Per- and polyfluoroalkyl substances (PFAS) occur as complex mixtures, yet mixture-dependent biological effects under environmentally realistic exposure conditions remain poorly understood. We conducted multiyear (2018, 2019, 2021) continuous-flow, field-based exposures of male fathead minnows (<i>Pimephales …

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Transcriptomics
Full text 2026

Exploring the molecular link between arecoline exposure and prostate cancer-related alterations: integrative evidence from network toxicology, single-cell transcriptomics, molecular simulation, and experimental validation

Zhu X, Liu H, Zeng Z, et al.

Arecoline, the major alkaloid of areca nut, is a common exposure in chewing products, but its relationship with prostate cancer (PCa) is unclear. We integrated network toxicology, bulk RNA machine learning, single-cell transcriptomics, molecular simulation, …

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Single-Cell Transcriptomics
Full text 2026

Integrating metabolomics and transcriptomics to investigate the effects of changes in renal adenosine 5'-monophosphate and arginine metabolism on the mTOR pathway under chronic hypoxia

Liang H, Song K.

<h4>Objectives</h4>Hypoxia leads to pathophysiological changes in the body. Kidneys are important organs essential for maintaining normal body function. The metabolic changes in renal under chronic hypoxia are still unclear. To investigate how chronic hypobaric hypoxia …

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Transcriptomics
Full text 2026

transFusion: a novel comprehensive platform for integration analysis of single-cell and spatial transcriptomics

Lin W, Xiao X, Qiu C, et al.

<h4>Motivation</h4>Understanding spatial organization, intercellular interactions, and regulatory networks within the spatial context of tissues is crucial for uncovering complex biological processes and disease mechanisms. Spatial transcriptomics technologies have revolutionized this field by enabling the spatially …

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Single-Cell Transcriptomics
Full text 2026

Lactylation-driven metabolic reprogramming promotes osteosarcoma malignancy via HDGF-mediated proliferation and immune modulation

Hu S, Wu L, Wang J, et al.

<h4>Background</h4>Osteosarcoma (OS) is characterized by significant intratumoral heterogeneity and a remodeled immune microenvironment. However, the mechanisms through which metabolic reprogramming drives tumor progression are not fully understood. Lactylation, an epigenetic modification derived from lactate, has …

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Transcriptomics