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The gene to gene coexpression networks obtained were analyzed using a graph theoretic clustering algorithm called MCODE Molecular Complex Detectionn) [19] that allows to detect densely connected regions in large interaction networks which may represent molecular associations.
These enriched categories may represent molecular functions, pathways or cellular locations most affected by the experiment.
This method detects densely connected regions in large PPI networks that may represent molecular complexes [ 6].
These results suggest that the correlations of IHC staining intensities in tumour tissues may represent molecular interactions between the corresponding proteins, as shown in T47D cell line.
This systems biology analysis method starts out by defining clusters of co-expressed genes (called 'modules') which may represent molecular networks involved in a common biological pathway.
The molecular complex detection (MCODE) algorithm, 24 a well-known automated method to find highly interconnected subgraphs, detects densely connected regions in large PPI networks that may represent molecular complexes.
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It could also reflect species-specific features of spermatogenesis such as morphological organization and spatio-temporal development of the testis, and may thus represent molecular events that are difficult to detect or to observe in other species.
Markers of oxidative stress and metabolic risk such as nitrates and oxidized low-density lipoproteins have been found to be increased in migraineurs as compared with non-migraineurs [68] and may represent a molecular link between migraine and obesity [69].
The results suggest that LMP1 may represent a molecular target for DNAzymes and provide a basis for the use of the LMP1 DNAzymes as potential radiosensitizers for treatment of the EBV-associated carcinomas.
Our results indicate that autophagy signaling pathway prevents apoptosis in type II alveolar epithelial cells infected with M. tuberculosis and may represent a molecular target for promoting cell survival during infection by respiratory pathogens.
Given the important role of α-syn pathology, and the facility with which intrabodies can be further engineered in vitro, anti-α-syn intrabodies may represent novel molecular therapeutics for synucleinopathies, with implications for other neurodegenerative disorders caused by misfolded accumulated proteins.
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