Cargando…

Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States

Virtually any stressor that alters the cellular homeostatic state may result in an inflammatory response. As a critical component of innate immunity, inflammasomes play a prominent role in the inflammatory response. The information on inflammasome biology is rapidly growing, thus creating the need f...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yepiskoposyan, Hasmik, Peitsch, Manuel C., Talikka, Marja
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813300/ https://www.ncbi.nlm.nih.gov/pubmed/35126992 http://dx.doi.org/10.1155/2022/4071472

Ejemplares similares

Construction of a Suite of Computable Biological Network Models Focused on Mucociliary Clearance in the Respiratory Tract
por: Yepiskoposyan, Hasmik, et al.
Publicado: (2019)

Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis
por: Ruiz Castro, Pedro A., et al.
Publicado: (2021)

Causal biological network models for reactive astrogliosis: a systems approach to neuroinflammation
por: Barkhuizen, Melinda, et al.
Publicado: (2022)

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
por: Martin, Florian, et al.
Publicado: (2014)

Semi-Automated Curation Allows Causal Network Model Building for the Quantification of Age-Dependent Plaque Progression in ApoE(−/−) Mouse
por: Szostak, Justyna, et al.
Publicado: (2016)

Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems
por: Boué, Stéphanie, et al.
Publicado: (2015)

Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks
por: Martin, Florian, et al.
Publicado: (2012)

NPA: an R package for computing network perturbation amplitudes using gene expression data and two-layer networks
por: Martin, Florian, et al.
Publicado: (2019)

Construction of biological networks from unstructured information based on a semi-automated curation workflow
por: Szostak, Justyna, et al.
Publicado: (2015)

A Meta-Analysis of the Performance of a Blood-Based Exposure Response Gene Signature Across Clinical Studies on the Tobacco Heating System 2.2 (THS 2.2)
por: Martin, Florian, et al.
Publicado: (2019)

Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data
por: Catlett, Natalie L, et al.
Publicado: (2013)

A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability
por: De León, Héctor, et al.
Publicado: (2014)

On Crowd-verification of Biological Networks
por: Ansari, Sam, et al.
Publicado: (2013)

Transcriptome response to heavy metal stress in Drosophila reveals a new zinc transporter that confers resistance to zinc
por: Yepiskoposyan, Hasmik, et al.
Publicado: (2006)

Systems Approaches Evaluating the Perturbation of Xenobiotic Metabolism in Response to Cigarette Smoke Exposure in Nasal and Bronchial Tissues
por: Iskandar, Anita R., et al.
Publicado: (2013)

Systems Toxicology Approach for Assessing Developmental Neurotoxicity in Larval Zebrafish
por: Li, Roman A., et al.
Publicado: (2021)

A Modular Cell-Type Focused Inflammatory Process Network Model for Non-Diseased Pulmonary Tissue
por: Westra, Jurjen W., et al.
Publicado: (2013)

Mechanistic Evaluation of the Impact of Smoking and Chronic Obstructive Pulmonary Disease on the Nasal Epithelium
por: Talikka, Marja, et al.
Publicado: (2017)

Causality and the Interpretation of Epidemiologic Evidence
por: Kundi, Michael
Publicado: (2006)

An Adverse Outcome Pathway for Decreased Lung Function Focusing on Mechanisms of Impaired Mucociliary Clearance Following Inhalation Exposure
por: Luettich, Karsta, et al.
Publicado: (2021)

The causal pie model: an epidemiological method applied to evolutionary biology and ecology
por: Wensink, Maarten, et al.
Publicado: (2014)

Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL)
por: Fluck, Juliane, et al.
Publicado: (2016)

The effect of perceptual history on the interpretation of causality
por: Deodato, Michele, et al.
Publicado: (2022)

Simplifying functional network representation and interpretation through causality clustering
por: Zanin, Massimiliano
Publicado: (2021)

Systems toxicology approaches enable mechanistic comparison of spontaneous and cigarette smoke-related lung tumor development in the A/J mouse model
por: Luettich, Karsta, et al.
Publicado: (2014)

Construction of a Computable Network Model for DNA Damage, Autophagy, Cell Death, and Senescence
por: Gebel, Stephan, et al.
Publicado: (2013)

tRNA(Sec) is transcribed by RNA polymerase II in Trypanosoma brucei but not in humans
por: Aeby, Eric, et al.
Publicado: (2010)

Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells
por: Triantafillou, Sofia, et al.
Publicado: (2017)

The role of prosody in interpreting causality in English discourse
por: Hu, Na, et al.
Publicado: (2023)

Impact Assessment of Cigarette Smoke Exposure on Organotypic Bronchial Epithelial Tissue Cultures: A Comparison of Mono-Culture and Coculture Model Containing Fibroblasts
por: Iskandar, Anita R., et al.
Publicado: (2015)

Sleep deprivation and NLRP3 inflammasome: Is there a causal relationship?
por: Amini, Mohammad, et al.
Publicado: (2022)

Applying causal discovery to single-cell analyses using CausalCell
por: Wen, Yujian, et al.
Publicado: (2023)

Applying and interpretating statistics: a comprehensive guide
por: McPherson, Glen
Publicado: (2001)

VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics
por: Seninge, Lucas, et al.
Publicado: (2021)

Confero: an integrated contrast data and gene set platform for computational analysis and biological interpretation of omics data
por: Hermida, Leandro, et al.
Publicado: (2013)

The cell biology of inflammasomes: Mechanisms of inflammasome activation and regulation
por: Sharma, Deepika, et al.
Publicado: (2016)

On the interpretability and computational reliability of frequency-domain Granger causality
por: Faes, Luca, et al.
Publicado: (2017)

Interpreting and validating complexity and causality in lesion-symptom prognoses
por: Seghier, Mohamed L, et al.
Publicado: (2023)

The species translation challenge—A systems biology perspective on human and rat bronchial epithelial cells
por: Poussin, Carine, et al.
Publicado: (2014)

High-Sensitivity Transcriptome Data Structure and Implications for Analysis and Biologic Interpretation
por: Noth, Sebastian, et al.
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_3q1j9cutfb4va09c9g8bmme5be