AIMC Topic: Fibroblasts
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Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.
Nature communications
Jul 8, 2025
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Conventional analytical methods relying on labeling or cell lysis are destructive and incompatible with...
Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.
Nature communications
Jul 4, 2025
Current approaches for bone repair predominantly target localized delivery of growth factors that are aimed at the coupling of angiogenesis and osteogenesis. However, delayed revascularization and regeneration of critical-sized bone defects are still...
Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy.
Scientific reports
Jul 1, 2025
Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially resulting in blindness. This study focused on the role of hypoxia in its pathogenesis through integrative bioinformatics and experimental validation. F...
Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.
Scientific reports
Jul 1, 2025
These studies aimed to study the mechanisms of glaucomatous peripapillary scleral (PPS) remodeling by investigating IOP-induced changes in fibroblast actin-collagen alignment and nuclear morphology in mouse PPS. Cryosections from the optic nerve head...
Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts.
Biomedical engineering online
Jun 5, 2025
BACKGROUND: Matrix metalloproteinase-2 (MMP-2) secretion homeostasis, governed by the multifaceted interplay of skin stretching, is a pivotal determinant influencing wound healing dynamics. This investigation endeavors to devise an artificial intelli...
A high-throughput analysis of novel anti-fibrotics in human adult cardiac fibroblasts.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jun 3, 2025
Myocardial fibrosis, a hallmark of heart failure (HF), contributes to disease progression and mortality by impairing cardiac function. Despite the identification of potential anti-fibrotic molecules, there is a lack of effective pharmacological inter...
Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.
International journal of biological macromolecules
Apr 19, 2025
Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial fibrosis is a detrimental consequence of aberrant fibroblast activation and extracellular matrix depo...
Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks.
Communications biology
Feb 25, 2025
Single-cell image analysis is crucial for studying drug effects on cellular morphology and phenotypic changes. Most studies focus on single cell types, overlooking the complexity of cellular interactions. Here, we establish an analysis pipeline to ex...
Machine learning with label-free Raman microscopy to investigate ferroptosis in comparison with apoptosis and necroptosis.
Communications biology
Feb 11, 2025
Human and animal health rely on balancing cell division and cell death to maintain normal homeostasis. This process is accomplished by regulated cell death (RCD), whose imbalance can lead to disease. Currently, the most frequently used method for ana...
SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden.
Genome medicine
Jan 14, 2025
BACKGROUND: Senescence classification is an acknowledged challenge within the field, as markers are cell-type and context dependent. Currently, multiple morphological and immunofluorescence markers are required. However, emerging scRNA-seq datasets h...
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