AIMC Topic: Mice
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Multi-omics identifies OSM-OSMR as a key receptor-ligand in the tumor environment of endometrial adenocarcinoma.
International immunopharmacology
Jul 28, 2025
Endometrial adenocarcinoma carries a bleak prognosis, and the molecular markers that evaluate the progression of endometrial adenocarcinoma to advanced stages remain uncertain. Cell-cell communication plays a crucial role in the tumor microenvironmen...
Humans
Adenocarcinoma
Prognosis
Female
Mice, Nude
Tumor Microenvironment
Ligands
Animals
Endometrial Neoplasms
Multiomics
Gene Expression Profiling
Oncostatin M
Gene Expression Regulation, Neoplastic
Oncostatin M Receptor beta Subunit
Cell Proliferation
Signal Transduction
Transcriptome
Cell Line, Tumor
Mice
Raman spectroscopy in tandem with machine learning - based decision logic methods for characterization and detection of primary precancerous and cancerous cells.
The Analyst
Jul 21, 2025
Early cancer detection improves patient outcomes, but most Raman spectroscopy research has focused on discriminating between normal and malignant cells, ignoring the essential precancerous stage. This study fills that gap by combining Raman spectrosc...
Nutritionally Responsive PMv DAT Neurons Are Dynamically Regulated During Pubertal Transition.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Jul 15, 2025
Pubertal development is tightly regulated by energy balance. The crosstalk between metabolism and reproduction is orchestrated by complex neural networks, and leptin action in the hypothalamus plays a critical role. The ventral premammillary nucleus ...
Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.
JCI insight
Jul 8, 2025
Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumoral heterogeneity (ITH) due to tumor cell plasticity and clonal diversity. To develop alternative strategies to overcome this defined mechanism of res...
Photon-counting micro-CT scanner for deep learning-enabled small animal perfusion imaging.
Physics in medicine and biology
Jul 7, 2025
In this work, we introduce a benchtop, turn-table photon-counting (PC) micro-computed tomography (CT) scanner and highlight its application for dynamic small animal perfusion imaging.Built on recently published hardware, the system now features a CdT...
Cells Keep Diverse Company in Diseased Tissues.
Cancer research
Jul 2, 2025
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architecture shapes disease progression, yet the contribution of cellular diversity remains underexplored. In this issue, Ding and colleagues introduce multio...
Accurate Diagnosis of Colorectal Cancer Using a Combination of Lectin-Induced Recombinase Polymerase Amplification and CRISPR/Cas12a Assay on a Point-of-Care Testing Platform with Deep Learning Assistant.
Analytical chemistry
Jul 1, 2025
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer liquid biopsy. Lectins can induce exosome aggregation through multiple bindings with exosomal glycoproteins. In this work, we developed a one-pot lec...
Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.
Toxicological sciences : an official journal of the Society of Toxicology
Jul 1, 2025
Transcriptomic analyses have been an effective approach to investigate the biological responses and metabolic perturbations by environmental contaminants in rodent models. However, it is well recognized that metabolic networks are highly connected an...
Identification and designing an analgesic opioid cyclic peptide from Defensin 4 of Mesobuthus martensii Karsch scorpion venom with more effectiveness than morphine.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jul 1, 2025
Considering the limitations of use and side effects of existing analgesics, the discovery of new analgesics is necessary. Venoms of organisms are an important source of analgesic peptides. In this study, using computational biology methods such as mo...
MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with mortality rates exceeding 50%, yet its molecular drivers remain poorly defined. Dysregulated coagulation is increasingly implicated in SA-AKI pathogene...
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