2022
DOI: 10.1016/j.ygeno.2021.11.027
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Identifying toggle genes from transcriptome-wide scatter: A new perspective for biological regulation

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Cited by 8 publications
(8 citation statements)
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“…To reveal the most strongly differentially expressed genes (DEGs), we selected those genes that demonstrated the qualitative difference in expression, i.e., were expressed in the experiment and were not expressed in the control (i.e., switched on in the experiment) or, on the contrary, were expressed in the control and were not expressed in the experiment (i.e., switched off in the experiment). These genes are also termed as toggle genes [ 56 ]. The identification of the switched off and switched on genes enables the identification of NLI-associated qualitative changes in gene regulatory networks and protein interaction networks for proteins encoded by these genes.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…To reveal the most strongly differentially expressed genes (DEGs), we selected those genes that demonstrated the qualitative difference in expression, i.e., were expressed in the experiment and were not expressed in the control (i.e., switched on in the experiment) or, on the contrary, were expressed in the control and were not expressed in the experiment (i.e., switched off in the experiment). These genes are also termed as toggle genes [ 56 ]. The identification of the switched off and switched on genes enables the identification of NLI-associated qualitative changes in gene regulatory networks and protein interaction networks for proteins encoded by these genes.…”
Section: Resultsmentioning
confidence: 99%
“…The switched on/off (toggle) genes were revealed similarly with the procedure that was used in [ 56 ], but we enhanced it using a two-dimensional histogram instead of a simple scatter plot, not showing gene densities when gene points become too dense and overlapping. Therefore, a two-dimensional histogram allows better discrimination of gaps between peaks, thereby avoiding arbitrary cutoffs.…”
Section: Resultsmentioning
confidence: 99%
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“…These latent attractors display "atavistic" features, being characterized by the increased expression of genes relative to unicellular condition [151,152] and consequently free of the constrains imposed by multi-cellularity to uncontrolled growth (Fig. 2B, right) [153]. The biologic origin of preexisting drug-resistant cells was investigated in recent studies that provided important insights on how cell intrinsic and cell extrinsic factors cooperate to shape this population.…”
Section: Origin and Dynamics Of Drug-resistant Quiescent Cancer Cellsmentioning
confidence: 99%