AIMC Topic: Fibroblasts

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Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning.

Scientific reports
In primary fibroblasts from Leigh Syndrome (LS) patients, isolated mitochondrial complex I deficiency is associated with increased reactive oxygen species levels and mitochondrial morpho-functional changes. Empirical evidence suggests these aberratio...

Optimizing parameters on alignment of PCL/PGA nanofibrous scaffold: An artificial neural networks approach.

International journal of biological macromolecules
This paper proposes an artificial neural networks approach to finding the effects of electrospinning parameters on alignment of poly(ɛ-caprolactone)/poly(glycolic acid) blend nanofibers. Four electrospinning parameters, namely total polymer concentra...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab (H), and pertuzumab (P), is the preferred neoadjuvant treatment for locally advanced human epidermal growth factor 2 (HER2)-positive breast cancer. Ho...

Raman spectroscopy in tandem with machine learning - based decision logic methods for characterization and detection of primary precancerous and cancerous cells.

The Analyst
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...

Annexin A2 Contributes to Release of Extracellular Vimentin in Response to Inflammation.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Vimentin, an abundant intracellular cytoskeletal protein, is secreted into the extracellular space, where it can amplify tissue destruction in inflammatory diseases. The mechanisms by which inflammation promotes the release of extracellular vimentin ...

3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes for translational research. The great interest in creating skin substitutes still faces challenges considering its structural and cellular complexity...

[Evaluation of the efficacy of antifibrotic drugs on cell cultures in Salzmann's nodular degeneration].

Vestnik oftalmologii
UNLABELLED: Excessive production of extracellular matrix is a key component in the pathogenesis of Salzmann's nodular degeneration (SND). studies of drugs that suppress excessive fibroblast activity may become crucial in developing pathogenetically ...

Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks.

The American journal of forensic medicine and pathology
Convolutional neural network (CNN) has advanced in recent years and translated from research into medical practice, most notably in clinical radiology and histopathology. Research on CNNs in forensic/postmortem pathology is almost exclusive to postmo...

Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging.

Journal of biomedical optics
SIGNIFICANCE: We introduce an application of machine learning trained on optical phase features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to evaluation of cancer phenotype in screening assays and clinical biops...