% 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{Lou:274431,
      author       = {D. Lou and M. Meurer and S. Ovchinnikova and R. Burk and A.
                      Denzler and K. Herbst and I. A. Papaioannou and Y. Duan and
                      M. L. Jacobs and V. Witte and D. Ürge and D. Kirrmaier$^*$
                      and M. Krogemann and K. Gubicza$^*$ and K. Boerner and C.
                      Bundschuh and N. M. Weidner and U. Merle and B. Knorr and A.
                      Welker and C. M. Denkinger and P. Schnitzler and H.-G.
                      Kräusslich and V. L. Dao Thi and M. De Allegri and H. T.
                      Nguyen and A. Deckert and S. Anders and M. Knop$^*$},
      title        = {{S}calable {RT}-{LAMP}-based {SARS}-{C}o{V}-2 testing for
                      infection surveillance with applications in pandemic
                      preparedness.},
      journal      = {EMBO reports},
      volume       = {24},
      number       = {5},
      issn         = {1469-221X},
      address      = {Hoboken, NJ [u.a.]},
      publisher    = {Wiley},
      reportid     = {DKFZ-2023-00595},
      pages        = {e57162},
      year         = {2023},
      note         = {#LA:A260# / 2023 May 4;24(5):e57162},
      abstract     = {Throughout the SARS-CoV-2 pandemic, limited diagnostic
                      capacities prevented sentinel testing, demonstrating the
                      need for novel testing infrastructures. Here, we describe
                      the setup of a cost-effective platform that can be employed
                      in a high-throughput manner, which allows surveillance
                      testing as an acute pandemic control and preparedness tool,
                      exemplified by SARS-CoV-2 diagnostics in an academic
                      environment. The strategy involves self-sampling based on
                      gargling saline, pseudonymized sample handling, automated
                      RNA extraction, and viral RNA detection using a
                      semiquantitative multiplexed colorimetric reverse
                      transcription loop-mediated isothermal amplification
                      (RT-LAMP) assay with an analytical sensitivity comparable
                      with RT-qPCR. We provide standard operating procedures and
                      an integrated software solution for all workflows, including
                      sample logistics, analysis by colorimetry or sequencing, and
                      communication of results. We evaluated factors affecting the
                      viral load and the stability of gargling samples as well as
                      the diagnostic sensitivity of the RT-LAMP assay. In
                      parallel, we estimated the economic costs of setting up and
                      running the test station. We performed > 35,000 tests, with
                      an average turnover time of < 6 h from sample arrival to
                      result announcement. Altogether, our work provides a
                      blueprint for fast, sensitive, scalable, cost- and
                      labor-efficient RT-LAMP diagnostics, which is independent of
                      potentially limiting clinical diagnostics supply chains.},
      keywords     = {COVID-19 tests (Other) / RT-LAMP (Other) / corona tests
                      (Other) / pandemic preparedness (Other) / surveillance
                      testing (Other)},
      cin          = {A260},
      ddc          = {570},
      cid          = {I:(DE-He78)A260-20160331},
      pnm          = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
      pid          = {G:(DE-HGF)POF4-311},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36951170},
      doi          = {10.15252/embr.202357162},
      url          = {https://inrepo02.dkfz.de/record/274431},
}