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Hepatocellular carcinoma (HCC) remains a significant global health challenge, with therapeutic efficacy in advanced stages often limited by underlying liver dysfunction and adaptive resistance. In this review, the evolving landscape of molecular targets and combinatorial …
Read PDFThe convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive, mechanistic, and field-relevant insights into crop performance, adaptation, and resilience. This review presents an integrative and forward-looking synthesis …
Read PDFGenomic imprinting is an epigenetic occurrence that results in the expression of alleles specific to the parent of origin, plays pivotal roles in plant development, stress adaptation, and agronomic trait regulation. While imprinting has been …
Read PDFOsteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifying new disease …
Read PDFWith the advancement of novel technologies such as whole-genome sequencing, single-cell sequencing, and spatial transcriptomics, single-omics analyses have already promoted the research of tumorigenesis as well as development and have partly elucidated the evolutionary processes …
Read PDF<h4>Background</h4>Epigenetic dysregulation plays a pivotal role in cancer immune evasion by orchestrating tumour antigen silencing, immune cell dysfunction, and the formation of an immunosuppressive microenvironment. By disrupting successive phases of the cancer-immunity cycle-from antigen presentation …
Read PDF<h4>Background</h4>Lung cancer remains the leading cause of cancer-related mortality worldwide, highlighting the urgent need for earlier detection within real-world screening and patient management pathways. Recent advances in multi-omics technologies have created new opportunities for identifying …
Read PDFIntra-tumoral heterogeneity (ITH) is common in malignant tumors and arises from dynamic variations across genetic, epigenetic, transcriptomic, proteomic, metabolic, and microenvironmental factors. This complexity drives tumor evolution and treatment resistance, undermining the accuracy of clinical …
Read PDFSingle-cell omics technology has advanced rapidly since its inception, offering increasing precision, resolution, and technical diversity to explore cell-specific molecular features in the human brain and neuropsychiatric disorders. While traditional bulk genomic analyses have provided …
Read PDFImmune checkpoint inhibitors (ICIs) have reshaped oncology, yet overall response rates remain modest and resistance is common, driven by tumor heterogeneity and evolving tumor-immune crosstalk. Established biomarkers (PD-L1, tumor mutational burden, microsatellite instability) provide incomplete …
Read PDFNon-syndromic cleft lip with or without cleft palate (nsCL/P) is a common congenital malformation influenced by a combination of environmental and genetic factors. nsCL/P is usually diagnosed using fetal ultrasound during the late second trimester; …
Read PDFWound healing is a complex, multi-phase process requiring coordinated interactions among diverse cell types and molecular pathways to restore tissue integrity. Dysregulation can lead to chronic non-healing wounds or excessive scarring, posing major clinical and …
Read PDFFollowing the application of epigenetic and epigenomics research into tumor diseases, cardiovascular disease, diabetes, hereditary diseases, and rare diseases, in vitro diagnostics (IVD) epigenetic and epigenomics are increasingly employed for those patients. Here, we review …
Read PDFAcute myeloid leukemia (AML) is a highly heterogeneous and aggressive hematologic malignancy characterized by clonal proliferation of myeloid precursors. Despite significant advancements in genomic profiling and targeted therapies, patient outcomes remain suboptimal due to disease …
Read PDFThe adult zebrafish heart can regenerate after injury, but the earliest gene expression changes that trigger this process remain poorly understood. Here we show that in vivo single-cell RNA metabolic labeling, which marks newly made …
Read PDFHigh-throughput single-cell sequencing is widely used to study cell identity. We present SEAGALL (Single-cell Explainable Geometry-Aware Graph Attention Learning pipeLine), a deep learning method to quantify the impact of molecular features on cellular phenotype, based …
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