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spelling paper:paper_19450877_v4_n194_p_Jiang2023-06-08T16:32:29Z Load-induced modulation of signal transduction networks article enzyme activity information processing mathematical model modulation priority journal signal processing signal transduction allosterism biological model Escherichia coli feedback system metabolism physiology systems biology time enzyme nitrogen regulatory protein nucleotidyltransferase regulatory protein uridylyltransferase Allosteric Regulation Enzymes Escherichia coli Feedback, Physiological Models, Biological Nucleotidyltransferases PII Nitrogen Regulatory Proteins Signal Transduction Systems Biology Time Factors Biological signal transduction networks are commonly viewed as circuits that pass along information - in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks - to transcriptional and other components. Here, we report on a "reverse-causality" phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitivechanges in response dynamics occurred for a covalent modification cycle when load was present.Loading altered the response time of a system, depending on whether the activity of one of the enzymeswas maximal and the other was operating at its minimal rate or whether both enzymes were operating atsubmaximal rates. These two conditions, which we call "limit regime" and "intermediate regime," wereassociated with increased or decreased response times, respectively. The bandwidth, the range of frequencyin which the system can process information, decreased in the presence of load, suggesting thatdownstream targets participate in establishing a balance between noise-filtering capabilities and a circuit'sability to process high-frequency stimulation. Nodes in a signaling network are not independentrelay devices, but rather are modulated by their downstream targets. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19450877_v4_n194_p_Jiang http://hdl.handle.net/20.500.12110/paper_19450877_v4_n194_p_Jiang
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic article
enzyme activity
information processing
mathematical model
modulation
priority journal
signal processing
signal transduction
allosterism
biological model
Escherichia coli
feedback system
metabolism
physiology
systems biology
time
enzyme
nitrogen regulatory protein
nucleotidyltransferase
regulatory protein uridylyltransferase
Allosteric Regulation
Enzymes
Escherichia coli
Feedback, Physiological
Models, Biological
Nucleotidyltransferases
PII Nitrogen Regulatory Proteins
Signal Transduction
Systems Biology
Time Factors
spellingShingle article
enzyme activity
information processing
mathematical model
modulation
priority journal
signal processing
signal transduction
allosterism
biological model
Escherichia coli
feedback system
metabolism
physiology
systems biology
time
enzyme
nitrogen regulatory protein
nucleotidyltransferase
regulatory protein uridylyltransferase
Allosteric Regulation
Enzymes
Escherichia coli
Feedback, Physiological
Models, Biological
Nucleotidyltransferases
PII Nitrogen Regulatory Proteins
Signal Transduction
Systems Biology
Time Factors
Load-induced modulation of signal transduction networks
topic_facet article
enzyme activity
information processing
mathematical model
modulation
priority journal
signal processing
signal transduction
allosterism
biological model
Escherichia coli
feedback system
metabolism
physiology
systems biology
time
enzyme
nitrogen regulatory protein
nucleotidyltransferase
regulatory protein uridylyltransferase
Allosteric Regulation
Enzymes
Escherichia coli
Feedback, Physiological
Models, Biological
Nucleotidyltransferases
PII Nitrogen Regulatory Proteins
Signal Transduction
Systems Biology
Time Factors
description Biological signal transduction networks are commonly viewed as circuits that pass along information - in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks - to transcriptional and other components. Here, we report on a "reverse-causality" phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitivechanges in response dynamics occurred for a covalent modification cycle when load was present.Loading altered the response time of a system, depending on whether the activity of one of the enzymeswas maximal and the other was operating at its minimal rate or whether both enzymes were operating atsubmaximal rates. These two conditions, which we call "limit regime" and "intermediate regime," wereassociated with increased or decreased response times, respectively. The bandwidth, the range of frequencyin which the system can process information, decreased in the presence of load, suggesting thatdownstream targets participate in establishing a balance between noise-filtering capabilities and a circuit'sability to process high-frequency stimulation. Nodes in a signaling network are not independentrelay devices, but rather are modulated by their downstream targets.
title Load-induced modulation of signal transduction networks
title_short Load-induced modulation of signal transduction networks
title_full Load-induced modulation of signal transduction networks
title_fullStr Load-induced modulation of signal transduction networks
title_full_unstemmed Load-induced modulation of signal transduction networks
title_sort load-induced modulation of signal transduction networks
publishDate 2011
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19450877_v4_n194_p_Jiang
http://hdl.handle.net/20.500.12110/paper_19450877_v4_n194_p_Jiang
_version_ 1768545760659374080