Mining logic gates in prokaryotic transcriptional regulation networks

Saved in:
Bibliographic Details
Title: Mining logic gates in prokaryotic transcriptional regulation networks
Authors: Silva-Rocha, Rafael1, de Lorenzo, Víctor vdlorenzo@cnb.csic.es
Source: FEBS Letters. Apr2008, Vol. 582 Issue 8, p1237-1244. 8p.
Subjects: Prokaryotes, Microorganisms, Boolean algebra, Electric circuits
Abstract: Abstract: Prokaryotic transcriptional networks possess a large number of regulatory modules that formally implement many of the logic gates that are typical of digital, Boolean circuits. Yet, natural regulatory elements appear most often compressed and exaggeratedly context-dependent for any reliable circuit engineering barely comparable to electronic counterparts. To overcome this impasse, we argue that designing new functions with biological parts requires (i) the recognition of logic gates not yet assigned but surely present in the meta-genome, (ii) the orthogonalization and disambiguation of natural regulatory modules and (iii) the development of ways to tackle the connectivity and the definition of boundaries between minimal biological components. [Copyright &y& Elsevier]
Copyright of FEBS Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 31561479
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mining logic gates in prokaryotic transcriptional regulation networks
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Silva-Rocha%2C+Rafael%22">Silva-Rocha, Rafael</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22de+Lorenzo%2C+Víctor%22">de Lorenzo, Víctor</searchLink><i> vdlorenzo@cnb.csic.es</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22FEBS+Letters%22">FEBS Letters</searchLink>. Apr2008, Vol. 582 Issue 8, p1237-1244. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prokaryotes%22">Prokaryotes</searchLink><br /><searchLink fieldCode="DE" term="%22Microorganisms%22">Microorganisms</searchLink><br /><searchLink fieldCode="DE" term="%22Boolean+algebra%22">Boolean algebra</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+circuits%22">Electric circuits</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: Prokaryotic transcriptional networks possess a large number of regulatory modules that formally implement many of the logic gates that are typical of digital, Boolean circuits. Yet, natural regulatory elements appear most often compressed and exaggeratedly context-dependent for any reliable circuit engineering barely comparable to electronic counterparts. To overcome this impasse, we argue that designing new functions with biological parts requires (i) the recognition of logic gates not yet assigned but surely present in the meta-genome, (ii) the orthogonalization and disambiguation of natural regulatory modules and (iii) the development of ways to tackle the connectivity and the definition of boundaries between minimal biological components. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of FEBS Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=31561479
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.febslet.2008.01.060
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1237
    Subjects:
      – SubjectFull: Prokaryotes
        Type: general
      – SubjectFull: Microorganisms
        Type: general
      – SubjectFull: Boolean algebra
        Type: general
      – SubjectFull: Electric circuits
        Type: general
    Titles:
      – TitleFull: Mining logic gates in prokaryotic transcriptional regulation networks
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Silva-Rocha, Rafael
      – PersonEntity:
          Name:
            NameFull: de Lorenzo, Víctor
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 09
              M: 04
              Text: Apr2008
              Type: published
              Y: 2008
          Identifiers:
            – Type: issn-print
              Value: 00145793
          Numbering:
            – Type: volume
              Value: 582
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: FEBS Letters
              Type: main
ResultId 1