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2701 results

Full text 2026

Investigating the Role of KNG1 in Traumatic Brain Injury

Li D, Hu J, Chen J, et al.

<h4>Objective</h4>This study aimed to elucidate the functional role of Kininogen-1 (KNG1) in traumatic brain injury (TBI) and evaluate its potential as a therapeutic target.<h4>Methods</h4>A TBI rat model was established using a controlled cortical impact method. …

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Transcriptomics
Full text 2026

Spatial transcriptomics reveals altered communities and drivers of aberrant epithelia and pro-fibrotic fibroblasts in interstitial lung diseases

Jaiswal A, Kooistra T, Pokatayev V, et al.

Interstitial lung diseases (ILD) are characterized by fibrotic scarring of the lung parenchyma with remarkably unfavorable prognosis. Using single-nucleus RNA sequencing and spatial transcriptomics, we generated a comprehensive cellular network of the distal lung and …

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Transcriptomics
Full text 2026

Interpreting the molecular and cellular landscape of PCOS through bulk transcriptomics, single-cell transcriptomics and machine learning

Xu K, Zhang S, Guo L, et al.

<h4>Background</h4>Polycystic ovary syndrome (PCOS) is a prevalent endocrine-metabolic disorder in women, hallmarked by hyperandrogenism, anovulation, and polycystic ovarian morphology. This study integrates multi-omics and machine-learning analyses to elucidate the molecular mechanisms and cellular constituents underlying …

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Transcriptomics
Full text 2026

Integrated omics approaches with non-thermal food fortification: pathways to personalized nutrition solutions

Alsanie SA.

The integration of multi-omics technologies with non-thermal food processing represents a paradigm shift from population-based to precision nutrition interventions. This review synthesizes current advances in genomics, transcriptomics, proteomics, metabolomics, and microbiomics alongside emerging non-thermal technologies, …

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Metagenomics Transcriptomics
Full text 2025

Multi-dimensional omics integrated machine learning framework identifies macrophage-fibroblast-tumor co-infiltration patterns to predict prognosis in gastric cancer

Wang Q, Ni Y, Lu S, et al.

Gastric cancer (GC), of which cases with peritoneal metastasis are particularly challenging, retains its position of being highly complex and remarkably resistant to therapy. Understanding the spatial heterogeneity and leveraging recent technologies such as machine …

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Transcriptomics
Full text 2026

Spatial multi-omics mapping of tumor microanatomy dynamics following radiotherapy combined with targeted-immunotherapy in hepatocellular carcinoma

Ji F, Xia H, Xiao Y, et al.

Remodeling of the tumor microenvironment (TME) under therapeutic pressure is a critical determinant of treatment response and resistance in hepatocellular carcinoma (HCC). Triple-combination therapy integrating targeted agents, immune checkpoint inhibitors, and radiotherapy (T+I+R) has shown …

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Single-Cell Transcriptomics
Full text 2026

Multi-omics profiling of sodium-overload (NECSO) programs identifies NEK8 as a central driver of colorectal cancer progression through single-cell and spatial transcriptomics

Ji Y, Yu B, Yin X, et al.

<h4>Background</h4>Colorectal cancer (CRC) is a leading cause of cancer-related death, often marked by intratumoral heterogeneity, immune evasion, and therapeutic resistance. Recent advancements in single-cell and spatial transcriptomics have enabled a deeper understanding of the tumor …

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Single-Cell Transcriptomics
Full text 2026

Single-cell Profiling Reveals Cooperative Participation of &lt;i&gt;SPP1&lt;sup&gt;+&lt;/sup&gt;&lt;/i&gt; Myeloid and &lt;i&gt;POSTN&lt;sup&gt;+&lt;/sup&gt;&lt;/i&gt; Fibroblast Subsets in Inflammation and Remodeling in Thoracic Aortic Aneurysm

Ju Y, Yao J, Zhang S, et al.

Thoracic aortic aneurysm (TAA) is a life-threatening condition characterized by aortic dilation, inflammation, and extracellular matrix degradation. Despite advances in surgical management, effective pharmacological therapies are still lacking, largely due to an incomplete understanding of …

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Transcriptomics
Full text 2026

Human multi-tissue transcriptomics identifies galectin-1 and follistatin-like 1 as exerkines with distinct transcript-to-serum coupling after exercise

Song J, Cho ES, Kwon YR, et al.

Exercise-induced secreted factors (exerkines) are proposed to coordinate systemic health benefits, yet their human tissue sources and the physiological rules governing transcript-to-serum coupling remain incompletely defined. We integrated multi-tissue transcriptomics with matched serial serum profiling …

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Transcriptomics