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Full text 2025

Impact of Omics Studies on Understanding Insecticide Resistance Mechanisms in Sub-Saharan Malaria Vectors: A Systematic Review

Orogun YG, Ogunlana OO, Taiwo DI, et al.

<h4>Background</h4>Malaria remains a major global health challenge, disproportionately affecting sub-Saharan Africa. The growing threat of resistance to insecticides in <i>Anopheles</i> vector populations poses a major challenge to the efficacy of core interventions such as long-lasting …

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Transcriptomics
Full text 2026

Spatial characterisation of TREM2 expression in actively demyelinating multiple sclerosis lesions supports its key roles in lipid metabolic pathways

Aguirre Candia YA, Aladyeva E, Boyden WJ, et al.

Reactive macrophages and microglia are predominant myeloid cell types in demyelinating multiple sclerosis (MS) lesions in the central nervous system (CNS). Triggering receptor expressed on myeloid cells-2 (TREM2) promotes clearance of myelin debris, supporting remyelination …

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Transcriptomics
Full text 2026

Multi-regional transcriptomics reveals robust consensus subtypes beyond tumor heterogeneity of breast cancer

Ji J, Zheng Q, Li X, et al.

<h4>Background</h4>Commercial molecular classifiers such as Prediction Analysis of Microarray 50 (PAM50), Oncotype DX, and MammaPrint have revolutionized breast cancer management. However, their clinical reliability is undermined by tumor heterogeneity.<h4>Methods</h4>We quantified the discordance in clinical molecular …

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Transcriptomics
Full text 2026

Spatial single-cell profiling identifies protein kinase Cδ-expressing microglia with anti-tumor function in glioblastoma

Mirzaei R, McNeil R, D'Mello C, et al.

Glioblastoma (GBM) contains diverse immune and tumor cell populations whose spatial organization influences disease progression. To better understand how immune cells interact with brain tumor-initiating cells (BTICs), we applied integrated single-cell and spatial transcriptomic approaches …

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Single-Cell Transcriptomics
Full text 2026

Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer

Huo Z, Sun W, Lou C, et al.

<h4>Objective</h4>Triple-negative breast cancer (TNBC) exhibits pronounced intratumoral heterogeneity, and cancer stem cells (CSCs) are thought to play a pivotal role in this process. However, the molecular regulatory mechanisms linking CSC-associated stemness features to tumor progression …

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Transcriptomics