Linked Life Data

10510225

Source:http://linkedlifedata.com/resource/pubmed/id/10510225

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1999-11-4
pubmed:abstractText
Signal-responsive components of transmembrane signal-transducing regulatory systems include methyl-accepting chemotaxis proteins and membrane-bound, two-component histidine kinases. Prokaryotes use these regulatory networks to channel environmental cues into adaptive responses. A typical network is highly discriminating, using a specific phosphoryl relay that connects particular signals to appropriate responses. Current understanding of transmembrane signal transduction includes periplasmic signal binding with the subsequent conformational changes being transduced, via transmembrane helix movements, into the sensory protein's cytoplasmic domain. These induced conformational changes bias the protein's regulatory function. Although the mutational analyses reviewed here identify a role for the linker region in transmembrane signal transduction, no specific mechanism of linker function has yet been described. We propose a speculative, mechanistic model for linker function based on interactions between two putative amphipathic helices. The model attempts to explain both mutant phenotypes and hybrid sensor data, while accounting for recognized features of amphipathic helices.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0950-382X
pubmed:author
pubmed:issnType
Print
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1093-102
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Functional similarities among two-component sensors and methyl-accepting chemotaxis proteins suggest a role for linker region amphipathic helices in transmembrane signal transduction.
pubmed:affiliation
Department of Biology, Texas A & M University, College Station, TX 77843-3258, USA. stan@mail.bio.tamu.edu
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Review