% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Tenhaef:890385,
      author       = {Tenhaef, Niklas and Stella, Robert and Frunzke, Julia and
                      Noack, Stephan},
      title        = {{A}utomated {R}ational {S}train {C}onstruction {B}ased on
                      {H}igh-{T}hroughput {C}onjugation},
      journal      = {ACS synthetic biology},
      volume       = {10},
      number       = {3},
      issn         = {2161-5063},
      address      = {Washington, DC},
      publisher    = {ACS},
      reportid     = {FZJ-2021-00918},
      pages        = {589–599},
      year         = {2021},
      abstract     = {Molecular cloning is the core of synthetic biology, as it
                      comprises the assembly of DNA and its expression in target
                      hosts. At present, however, cloning is most often a manual,
                      time-consuming, and repetitive process that highly benefits
                      from automation. The automation of a complete rational
                      cloning procedure, i.e., from DNA creation to expression in
                      the target host, involves the integration of different
                      operations and machines. Examples of such workflows are
                      sparse, especially when the design is rational (i.e., the
                      DNA sequence design is fixed and not based on randomized
                      libraries) and the target host is less genetically tractable
                      (e.g., not sensitive to heat-shock transformation). In this
                      study, an automated workflow for the rational construction
                      of plasmids and their subsequent conjugative transfer into
                      the biotechnological platform organism Corynebacterium
                      glutamicum is presented. The whole workflow is accompanied
                      by a custom-made software tool. As an application example, a
                      rationally designed library of transcription
                      factor-biosensors based on the regulator Lrp was constructed
                      and characterized. A sensor with an improved dynamic range
                      was obtained, and insights from the screening provided
                      evidence for a dual regulator function of C. glutamicum
                      Lrp.},
      cin          = {IBG-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33593066},
      UT           = {WOS:000631444600015},
      doi          = {10.1021/acssynbio.0c00599},
      url          = {https://juser.fz-juelich.de/record/890385},
}