Results 81 to 90 of about 16,339,920 (405)

Lights and Shadows on the Cancer Multi-Target Inhibitor Rigosertib (ON-01910.Na)

open access: yesPharmaceutics, 2023
Rigosertib (ON-01910.Na) is a small-molecule member of the novel synthetic benzyl-styryl-sulfonate family. It is currently in phase III clinical trials for several myelodysplastic syndromes and leukemias and is therefore close to clinical translation ...
Ana Monfort-Vengut, Guillermo de Cárcer
doaj   +1 more source

Functional characterization of the diatom cyclin-dependent kinase A2 as a mitotic regulator reveals plant-like properties in a non-green lineage [PDF]

open access: yes, 2015
Background: Cyclin-dependent kinases (CDKs) are crucial regulators of cell cycle progression in eukaryotes. The diatom CDKA2 was originally assigned to the classical A-type CDKs, but its cell cycle phase-specific transcription at the G2-to-M phase ...
Bowler, Chris   +4 more
core   +2 more sources

Accurate delineation of cell cycle phase transitions in living cells with PIP-FUCCI

open access: yesCell Cycle, 2018
Cell cycle phase transitions are tightly orchestrated to ensure efficient cell cycle progression and genome stability. Interrogating these transitions is important for understanding both normal and pathological cell proliferation.
Gavin D. Grant   +4 more
semanticscholar   +1 more source

Cell Cycle Assays

open access: yes, 2023
Creative Bioarray provides Cell Cycle Analysis Service for all of our customers. The cell cycle is the most fundamental and important process by which eukaryotic cells duplicate and divide. The cell cycle consists of two specific and distinct phases: interphase, consisting of G1 (Gap 1), S (synthesis), and G2 (Gap 2), and the mitotic phase; M (mitosis).
openaire   +3 more sources

Cell-cycle regulation [PDF]

open access: yesWormBook, 2005
Cell-division control affects many aspects of development. Caenorhabditis elegans cell-cycle genes have been identified over the past decade, including at least two distinct Cyclin-Dependent Kinases (CDKs), their cyclin partners, positive and negative regulators, and downstream targets.
openaire   +3 more sources

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

Quantitative Cell Cycle Analysis Based on an Endogenous All-in-One Reporter for Cell Tracking and Classification

open access: yesCell Reports, 2017
Cell cycle kinetics are crucial to cell fate decisions. Although live imaging has provided extensive insights into this relationship at the single-cell level, the limited number of fluorescent markers that can be used in a single experiment has hindered ...
Thomas Zerjatke   +8 more
doaj   +1 more source

Cryptomphalus aspersa Eggs Extract Potentiates Human Epidermal Stem Cell Regeneration and Amplification

open access: yesCosmetics, 2021
Modern life and extended life expectancy have prompted the search for natural compounds alleviating skin aging. Evidence supports the beneficial effects on skin integrity and health from the topical administration of preparations of the mollusc ...
Lucía San Juan   +6 more
doaj   +1 more source

Boolean network model predicts cell cycle sequence of fission yeast [PDF]

open access: yes, 2007
A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology.
A Faure   +40 more
core   +5 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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