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Acute myeloid leukemia (AML) is an aggressive blood cancer in which disease initiation and relapse are driven by leukemic cells with stem-like properties, known as leukemic stem cells (LSCs). The LSC compartment is highly heterogenous and this contributes to differences in therapy response. This heterogeneity is determined by genetic and nongenetic factors including somatic mutations, the cell of origin, transcriptional and epigenetic states as well as phenotypic plasticity. While this complicates the identification and eradication of LSCs, it also presents an opportunity to tailor therapeutic strategies to the phenotypic and functional states of LSCs present in a patient, exploiting their specific vulnerabilities. The emergence of single-cell multiomics technologies has transformed our ability to dissect cellular heterogeneity in AML, enabling simultaneous interrogation of genomic, transcriptomic, epigenomic and proteomic layers and providing high-resolution molecular snapshots of individual cells. In this review, we discuss causes and consequences of LSC heterogeneity, highlight advances in single-cell multiomics technologies to resolve it and outline how they can address shortcomings in our understanding of LSC heterogeneity and plasticity to revolutionize diagnostics and disease monitoring of AML.
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http://dx.doi.org/10.1053/j.seminhematol.2025.07.001 | DOI Listing |
Zool Res
September 2025
Department of Urology & Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China. E-mail:
Chromatin remodeling and transcriptional reprogramming play critical roles during mammalian meiotic prophase I; however, the precise mechanisms regulating these processes remain poorly understood. Our previous work demonstrated that deletion of heat shock factor 5 (HSF5), a member of the heat shock factor family, induces meiotic arrest and male infertility. However, the molecular pathways through which HSF5 governs meiotic progression have not yet been fully elucidated.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2025
School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
Periodontal disease (PD) is a common and complex oral health problem that affects teeth and gums, leading to tooth loss, misalignment, and infection, with significant impact. Identifying the cause and developing new treatments is crucial. This study employed Mendelian randomization (MR), single-cell RNA sequencing (scRNA-seq), and integrated transcriptomics to identify key gene signatures associated with periodontitis.
View Article and Find Full Text PDFJ Therm Biol
September 2025
Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China. Electronic address:
In light of the challenges posed by global climate change, the environmental adaptability of organisms is becoming increasingly important. The Wuzhishan (WZS) pig, tolerant to high heat and humidity, is an ideal model for genomic study. By characterizing its genome and assessing its genetic diversity and runs of homozygosity (ROH), we can gain insights into its current conservation status and genomic architecture.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
OmnibusXLab, OmnibusX Company Limited, Ho Chi Minh City, Vietnam.
OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters.
View Article and Find Full Text PDFMediators Inflamm
September 2025
The First Affiliated Hospital of Ningbo University, Ningbo, China.
Crohn's disease (CD) is a chronic inflammatory disease characterized by complex immune dysregulation in which the identification of key molecular drivers is critical for the advancement of diagnostic and therapeutic approaches. In this study, we integrated transcriptomic data from multiple cohorts and applied three machine learning algorithms-Random forest, support vector machine recursive feature elimination (SVM-RFE), and Least Absolute Shrinkage and Selection Operator (LASSO)-to robustly identify key gene, converging on CSF3R as a top candidate. Mendelian randomization (MR) analysis supported a causal role of CSF3R in CD pathogenesis (OR = 1.
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