Pathway Regulation Comparison
Pathway Regulation Comparison - Related Videos
10:43
siRNA Screening to Identify Ubiquitin and Ubiquitin-like System Regulators of Biological Pathways in Cultured Mammalian Cells
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Cited by 4 •
2014
Here, we describe a methodology to perform a targeted siRNA “ubiquitome” screen to identify novel ubiquitin and ubiquitin-like regulators of the HIF1A-mediated cellular response to hypoxia. This can be adapted to any biological pathway where a robust read out of reporter activity is available.
02:14
GTPases and their Regulation
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2020
Guanine nucleotide-binding proteins (G-proteins), also known as GTPases, are a superfamily of proteins that regulate many cellular processes, such as cell signaling, vesicular transport, and the regulation of cell shape and motility. Mutation or dysfunction of these proteins can lead to disease. There are around 40,000 known G-proteins that can broadly be classified into two groups ‒ small G-proteins consisting of a single domain and large multi-domain G-proteins. Large G-proteins, also known...
07:09
Myeloid Innate Signaling Pathway Regulation by MALT1 Paracaspase Activity
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Cited by 7 •
2019
MALT1 regulates innate immunity but how this occurs remains ill-defined. We used the selective MALT1 paracaspase inhibitor MLT-827 to unravel the contribution of MALT1 to innate signaling downstream of Toll-like or C-type lectin-like receptors, demonstrating that MALT1 regulates the production of myeloid cytokines, and downstream of C-type lectin-like receptors, selectively.
02:57
The Sense of Self: Reflected Self-Appraisal and Social Comparison
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2020
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
01:28
Comparison Tests
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2026
An infinite series composed of positive terms may either approach a finite value or increase without bound. Determining which outcome occurs is a central task in calculus, and comparison tests provide structured methods for making this determination. Rather than evaluating a series directly, these tests relate it to another series whose behavior is already known, allowing conclusions to be drawn through logical comparison.The direct comparison test applies to series with positive terms. If each...
FAQs
Feedback inhibition describes control in which pathway output regulates an earlier step, helping limit further production. Allosteric control refers to regulation of enzyme activity through effects at a regulatory site. Comparing them separates a pathway-level relationship from an enzyme-level mechanism and helps explain how metabolite flow and pathway output are adjusted.
Covalent modification represents a regulatory strategy that changes enzyme activity through a chemical alteration of the enzyme. Comparing this mechanism with allosteric control or gene-expression changes shows that pathways can regulate output at different control points. This distinction helps identify which regulatory process may account for altered enzyme activity under particular cellular conditions.
Changes in gene expression regulate pathway behavior by altering the cellular production of pathway-related components. Including this mechanism prevents comparisons from focusing only on existing enzyme activity or metabolite interactions. It also connects pathway output with environmental and developmental signals, providing context for how cells coordinate broader responses and maintain homeostasis.
Researchers can first define the pathways, cells, organisms, or conditions being compared, then identify the regulatory mechanisms associated with each system. They can examine effects on enzyme activity, metabolite flow, and pathway output, and organize differences by feedback inhibition, allosteric control, covalent modification, or gene-expression changes. This workflow supports systematic interpretation.
The approach is useful when researchers need to interpret how signaling networks coordinate pathway activity across conditions or biological systems. Comparing regulatory strategies can reveal where signals influence enzyme activity, metabolite flow, or gene expression. It therefore helps connect pathway-level control with cellular responses and clarifies how regulatory differences may shape network behavior.
A comparison can identify regulatory bottlenecks, which are control points that strongly influence pathway behavior. Researchers can then consider how a genetic or pharmacological change might affect enzyme activity, metabolite flow, or pathway output at those points. This supports predictions about altered cellular function while preserving the distinction between pathway-specific regulatory mechanisms.