AIMC Topic: Cell Line, Tumor
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Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.
Nature reviews. Gastroenterology & hepatology
Jan 3, 2020
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a decade with sorafenib as the only approved treatment, multiple new agents have demonstrated efficacy in clinical trials, including the targeted thera...
A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.
Analytica chimica acta
Dec 24, 2019
Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelength emission was benefit for accurate detection of hypoxic status, which was known as a major factor of the tumor physiology and influence important pat...
A tri-functional probe mediated exponential amplification strategy for highly sensitive detection of Dnmt1 and UDG activities at single-cell level.
Analytica chimica acta
Dec 23, 2019
Multiplex DNA methylation and glycosylation are ubiquitous in the human body to ensure the normal function and stability of the genome. The methyltransferases and glycosylases rely on varied enzymes with different action mechanism, which still remain...
Propofol affects the growth and metastasis of pancreatic cancer via ADAM8.
Pharmacological reports : PR
Dec 20, 2019
BACKGROUND: Anesthesia is a major component of surgery and recently considered an important regulator of cell phenotypes. Here we aimed to investigate propofol, an anesthesia drug, in suppressing pancreatic cancer (PDAC), focusing on A disintegrin an...
Neoplasm Invasiveness
Pancreatic Neoplasms
Matrix Metalloproteinase 9
Matrix Metalloproteinase 2
Xenograft Model Antitumor Assays
Neoplasm Metastasis
Humans
MAP Kinase Signaling System
Animals
ADAM Proteins
Cell Proliferation
Propofol
Antineoplastic Agents
Cell Movement
Mice, SCID
Cell Line, Tumor
Apoptosis
Membrane Proteins
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.
International journal of molecular sciences
Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
AI-powered transmitted light microscopy for functional analysis of live cells.
Scientific reports
Dec 5, 2019
Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduce artificial-intelligence-powered transmitted light microscopy (AIM) for subcellular structure identification and labeling-free functional analysis of...
Evaluation of colorectal cancer subtypes and cell lines using deep learning.
Life science alliance
Dec 2, 2019
Colorectal cancer (CRC) is a common cancer with a high mortality rate and a rising incidence rate in the developed world. Molecular profiling techniques have been used to better understand the variability between tumors and disease models such as cel...
Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
Computers in biology and medicine
Nov 20, 2019
Autoimmune diseases are the third highest cause of mortality in the world, and the identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a standard procedure to support diagnosis. In this work, we assess the per...
Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning.
Chembiochem : a European journal of chemical biology
Nov 14, 2019
Deep convolutional neural networks (CNNs) are a method of choice for image recognition. Herein a hybrid CNN approach is presented for molecular pattern recognition in drug discovery. Using self-organizing map images of molecular pharmacophores as inp...
Multifunctional Nanorobot System for Active Therapeutic Delivery and Synergistic Chemo-photothermal Therapy.
Nano letters
Nov 11, 2019
Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis. Therefore, they are in high demand for the development of new cancer therapies. Although many studies have contributed to the progressive developmen...
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