Identifying cellular metabolic pathways with label-free imaging and neural networks [PDF]
Machine learning identifies individual cell metabolism from fluorescence lifetime images for informing cancer treatments and immune therapies.
Avery Thompson
openalex +2 more sources
Serum and urine metabolomic biomarkers for predicting prognosis in patients with immunoglobulin A nephropathy [PDF]
Background Immunoglobulin A nephropathy (IgAN) is the most prevalent form of glomerulonephritis worldwide. Prediction of disease progression in IgAN can help to provide individualized treatment based on accurate risk stratification.
You Hyun Jeon +7 more
doaj +1 more source
Metabolomic approaches applied to the study of cervical cancer: a systematic review
Background: Cervical cancer (CC) is the fourth leading cause of cancer among women in the world. Metabolomics can provide a deeper understanding of the underlying metabolic alterations associated with its pathophysiology ...
Natalia Damasceno Almeida +3 more
doaj +1 more source
Integrated RNA-sequencing and network analysis approach to identify the Hub genes and vital pathways associated with gastric cancer [PDF]
Context: Gastric cancer is one of the most prevalent types of cancer in developing countries and ranks fourth in terms of death causes. Helicobacter pylori infection is a significant contributor to the emergence of gastric cancer. Lack of early diagnosis
Karthick Vasudevan +12 more
doaj +1 more source
Finding branched pathways in metabolic network via atom group tracking.
Finding non-standard or new metabolic pathways has important applications in metabolic engineering, synthetic biology and the analysis and reconstruction of metabolic networks.
Yiran Huang +3 more
doaj +1 more source
Pathways and fluxes: exploring the plant metabolic network [PDF]
The transition from a pathway-centred view of plant metabolism to a network-wide perspective is still incomplete. Further progress in this direction requires tools to facilitate the structural description of the network on the basis of fully annotated genomes, techniques for modelling the properties of the network, and experimental methods for ...
Kruger, N, Ratcliffe, R
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A toolbox model of evolution of metabolic pathways on networks of arbitrary topology. [PDF]
In prokaryotic genomes the number of transcriptional regulators is known to be proportional to the square of the total number of protein-coding genes.
Tin Yau Pang, Sergei Maslov
doaj +1 more source
Alterations in metabolic pathways and networks in Alzheimer’s disease [PDF]
The pathogenic mechanisms of Alzheimer's disease (AD) remain largely unknown and clinical trials have not demonstrated significant benefit. Biochemical characterization of AD and its prodromal phase may provide new diagnostic and therapeutic insights.
Kaddurah-Daouk, R. +14 more
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Discriminating response groups in metabolic and regulatory pathway networks [PDF]
Abstract Motivation: Analysis of omics experiments generates lists of entities (genes, metabolites, etc.) selected based on specific behavior, such as changes in response to stress or other signals. Functional interpretation of these lists often uses category enrichment tests using functional annotations like Gene Ontology terms and ...
John L, Van Hemert, Julie A, Dickerson
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Clustering analysis of tumor metabolic networks
Background Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways ...
Ichcha Manipur +3 more
doaj +1 more source

