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Full text 2026

Charting immune variation through genetics and single-cell genomics

Powell JE.

Large-scale single-cell genomics projects have revolutionized our understanding of human immune variation. Yet most studies to date have been Eurocentric, limited in cell-type resolution, or restricted to a single data modality. The newly published Chinese …

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Epigenetics Transcriptomics
Full text 2026

Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review

Khan MS, Saeed M, Arham M, et al.

Artificial intelligence (AI) is increasingly used in cancer research, enabling integrative analysis of complex biomedical data to identify actionable therapeutic vulnerabilities. This review specifically examines how AI advances mechanistic cancer target discovery and translational drug …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction

Diakite S, Norman PE, Kamara L, et al.

Breeding root, tuber, and cereal crops faces the critical challenge of unlocking extensive genetic variation and addressing complex gene-environment interplays to boost yield, quality, and resilience. Recent technological advances in pangenomics, multi-omics data integration, and …

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Structural Variants Transcriptomics
Full text 2026

Immune profiling of T cells: A comparative analysis of single-cell TCR sequencing using 10X Genomics and Parse Biosciences platforms

Kristjánsdóttir N, Thorsen K, Birkbak NJ, et al.

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for characterising the immune landscape. Multiple technologies are available, each with distinct specificities and inherent biases. Here, we focus on two technologies-10X Genomics and Parse Biosciences-for the …

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Single-Cell Transcriptomics
Full text 2026

Application of deep learning in crop research: From genomics to phenomics

Wu Z, Sun Y, Luo Q, et al.

Deep learning, as a pivotal branch of machine learning, has demonstrated remarkable potential in advancing crop science by effectively integrating genomics and phenomics. This review systematically outlines the application of diverse deep learning architectures-such as …

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Epigenetics Transcriptomics
Full text 2026

Integrative Analysis of Genetic Risk Factors for Acute Myeloid Leukemia Using Mendelian Randomization and Single-Cell RNA Sequencing Validation

Xia T, Wen R, Wu G, et al.

<h4>Background</h4>Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy with complex genetic underpinnings. Understanding the causal relationships between genetic factors and AML risk is crucial for developing targeted therapeutic strategies.<h4>Methods</h4>We conducted a comprehensive Mendelian randomization …

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Single-Cell Transcriptomics