Cargando…

Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results

Many chemotherapeutic drugs target cell processes in specific cell cycle phases. Determining the specific phases targeted is key to understanding drug mechanism of action and efficacy against specific cancer types. Flow cytometry experiments, combined with cell cycle phase and division round specifi...

Descripción completa

Detalles Bibliográficos
Autores principales:	James, David W., Filby, Andrew, Brown, M. Rowan, Summers, Huw D., Francis, Lewis W., Rees, Paul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581040/ https://www.ncbi.nlm.nih.gov/pubmed/36303763 http://dx.doi.org/10.3389/fbinf.2021.662210

Ejemplares similares

Label-free cell cycle analysis for high-throughput imaging flow cytometry
por: Blasi, Thomas, et al.
Publicado: (2016)

Flow-Based Cytometric Analysis of Cell Cycle via Simulated Cell Populations
por: Brown, M. Rowan, et al.
Publicado: (2010)

Artificial intelligence in imaging flow cytometry
por: Pozzi, Paolo, et al.
Publicado: (2023)

CycleFlow simultaneously quantifies cell-cycle phase lengths and quiescence in vivo
por: Jolly, Adrien, et al.
Publicado: (2022)

Cell division cycle proteinising prognostic biomarker of breast cancer
por: Cheng, Lin, et al.
Publicado: (2020)

Protocol for Analyzing Cell Cycle Phases of Polyphenic Wings Using Flow Cytometry
por: Zhang, Yuwei, et al.
Publicado: (2020)

Prognostic implications of cell division cycle protein 45 expression in hepatocellular carcinoma
por: Yang, Chen, et al.
Publicado: (2021)

Cell Cycle Analysis of Candida albicans by Flow Cytometry
por: Patel, Shraddheya Kumar, et al.
Publicado: (2023)

Cell-cycle distribution of urothelial tumour cells as measured by flow cytometry.
por: Collste, L. G., et al.
Publicado: (1979)

Cell-Cycle Analysis of Fission Yeast Cells by Flow Cytometry
por: Knutsen, Jon Halvor Jonsrud, et al.
Publicado: (2011)

Identification of cell division cycle 20 as a candidate biomarker and potential therapeutic target in bladder cancer using bioinformatics analysis
por: Shen, Peilin, et al.
Publicado: (2020)

An Image Analysis Pipeline for Quantifying the Features of Fluorescently-Labeled Biomolecular Condensates in Cells
por: Baggett, David W., et al.
Publicado: (2022)

Diatom identification including life cycle stages through morphological and texture descriptors
por: Sánchez, Carlos, et al.
Publicado: (2019)

Cell division cycle associated 2 (CDCA2) upregulation promotes the progression of hepatocellular carcinoma in a p53-dependant manner
por: Wang, Jiahui, et al.
Publicado: (2022)

Elevated expression of minichromosome maintenance 3 indicates poor outcomes and promotes G1/S cell cycle progression, proliferation, migration and invasion in colorectal cancer
por: Zhou, He, et al.
Publicado: (2020)

An investigation of different methods of cell cycle analysis by flow cytometry in rectal cancer.
por: Scott, N., et al.
Publicado: (1992)

Structural and functional characterization of buffalo oviduct-specific glycoprotein (OVGP1) expressed during estrous cycle
por: Choudhary, Suman, et al.
Publicado: (2019)

CellCycleTRACER accounts for cell cycle and volume in mass cytometry data
por: Rapsomaniki, Maria Anna, et al.
Publicado: (2018)

Peptimetric: Quantifying and Visualizing Differences in Peptidomic Data
por: Hartman, Erik, et al.
Publicado: (2021)

Poisson‐event‐based analysis of cell proliferation
por: Summers, Huw D., et al.
Publicado: (2015)

Lymphocyte cell-cycle analysis by flow cytometry. Evidence for a specific postmitotic phase before return to G0
Publicado: (1980)

Sequential Assessment of Cell Cycle S Phase in Flow Cytometry: A Non-Isotopic Method to Measure Lymphocyte Activation In Vitro
por: Kohler, Ch., et al.
Publicado: (1997)

Spatial statistics is a comprehensive tool for quantifying cell neighbor relationships and biological processes via tissue image analysis
por: Summers, Huw D., et al.
Publicado: (2022)

pulseTD: RNA life cycle dynamics analysis based on pulse model of 4sU-seq time course sequencing data
por: Wang, Xin, et al.
Publicado: (2020)

Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning
por: Wills, John W., et al.
Publicado: (2021)

MIPhy: identify and quantify rapidly evolving members of large gene families
por: Curran, David M., et al.
Publicado: (2018)

Layered patterns in nature, medicine, and materials: quantifying anisotropic structures and cyclicity
por: Smolyar, Igor, et al.
Publicado: (2019)

Variability of fluorescence intensity distribution measured by flow cytometry is influenced by cell size and cell cycle progression
por: Fedr, Radek, et al.
Publicado: (2023)

A Triple Staining Method for Accurate Cell Cycle Analysis Using Multiparameter Flow Cytometry
por: Qiu, Lin, et al.
Publicado: (2013)

Radiation-induced cell cycle perturbations: a computational tool validated with flow-cytometry data
por: Lonati, Leonardo, et al.
Publicado: (2021)

An Evaluation of Nuclei Preparation of the Dormant Axillary Bud of Grapevine for Cell Cycle Analysis by Flow Cytometry
por: Hermawaty, Dina, et al.
Publicado: (2022)

Protocol to analyze chromatin-bound proteins through the cell cycle using Chromoflow flow cytometry
por: Alonso-Gil, Dácil, et al.
Publicado: (2023)

Quantifying the human vaginal community state types (CSTs) with the species specificity index
por: Ma, Zhanshan (Sam), et al.
Publicado: (2017)

Reconstructing cell cycle and disease progression using deep learning
por: Eulenberg, Philipp, et al.
Publicado: (2017)

The origin of heterogeneous nanoparticle uptake by cells
por: Rees, Paul, et al.
Publicado: (2019)

Probabilistic model based on circular statistics for quantifying coverage depth dynamics originating from DNA replication
por: Suzuki, Shinya, et al.
Publicado: (2020)

A flow cytometry-based analysis to establish a cell cycle synchronization protocol for Saccharum spp.
por: Yang, Shan, et al.
Publicado: (2020)

Data-driven classification of the certainty of scholarly assertions
por: Prieto, Mario, et al.
Publicado: (2020)

Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinoma
por: Tang, Weihao, et al.
Publicado: (2020)

An open-source solution for advanced imaging flow cytometry data analysis using machine learning
por: Hennig, Holger, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_58p5c00a3c4iduohk51sr8shla