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Full text 2026

Multi-omics profiling of pancreatic neuroendocrine tumors: Interplay of genomic instability and the tumor microenvironment (Review)

Wan Y, Zhang Y, Philip PA, et al.

Pancreatic neuroendocrine tumors (PNETs) represent a biologically heterogeneous group of neoplasms shaped by both intrinsic genomic alterations and dynamic interactions with the tumor microenvironment (TME). Conventional analytical approaches offered limited insight into these complex mechanisms. …

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Single-Cell Transcriptomics
Full text 2026

Integrating single-cell and spatial transcriptomics to decipher the neuro-immune microenvironment of breast cancer brain metastasis: a key regulatory axis, prognostic model, and drug discovery

Li J, Wu W, Lu J, et al.

<h4>Background</h4>Breast cancer brain metastasis (BCBM) is a lethal complication of advanced disease, facilitated by a specialized neuro-immune microenvironment, whereas its molecular regulators and spatial dynamics remain poorly understood. This study aimed to resolve cellular heterogeneity …

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Transcriptomics
Full text 2026

Advances in multi-omics research on neuroblastoma

Wang Y, Zhao Z, Wang J, et al.

Neuroblastoma is the most common extracranial solid tumor in children, presenting significant challenges in diagnosis and treatment due to its highly heterogeneous clinical manifestations and complex genetic background. In recent years, advances in transcriptomics have …

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Single-Cell Transcriptomics
Full text 2026

Recent developments in imaging transcriptomics for psychiatric disorders

Liu J, Ma X, Xu W, et al.

Mental disorders refer to abnormal states that affect an individual's thinking, emotion, behavior, and perception, and are generally associated with dysregulation of brain function. They exhibit genetic heterogeneity as well as multi-level structural and functional …

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Transcriptomics
Full text 2026

Herbaria provide a valuable resource for obtaining informative mRNA

Tyszka AS, Chia KS, Bretz EC, et al.

Although DNA has built the framework for molecular insights from museum collections, the utility of archival RNA remains largely unexplored. Likely a consequence of the known instability of RNA relative to DNA, this has effectively …

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Transcriptomics
Full text 2026

M[Formula: see text]DGAT: Multi-view multi-scale dynamic graph attention network(GAT) based prediction of Parkinson's disease(PD) progression using whole-blood RNA sequencing data

Wei Z, Zeqi X, Chenjun W, et al.

With emerging single-cell transcriptomics data, deep learning approaches have enabled the diagnosis of neurodegenerative disorders such as Parkinson's disease(PD). Based on whole-blood RNA sequencing data, the graph neural network has predicted Parkinson's disease(PD) progression trajectories …

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Transcriptomics