@Article{duepublico_mods_00078551,
  author = 	{Schmerling, Christian
		and Sewald, Leonard
		and Heilmann, Geronimo
		and Witfeld, Frederick
		and Begerow, Dominik
		and Jensen, Kenneth
		and Br{\"a}sen, Christopher
		and Kaschani, Farnusch
		and Overkleeft, Herman S.
		and Siebers, Bettina
		and Kaiser, Markus},
  title = 	{Identification of fungal lignocellulose-degrading biocatalysts secreted by Phanerochaete chrysosporium via activity-based protein profiling},
  year = 	{2022},
  month = 	{Nov},
  day = 	{16},
  abstract = 	{Activity-based protein profiling (ABPP) has emerged as a versatile biochemical method for studying enzyme activity under various physiological conditions, with applications so far mainly in biomedicine. Here, we show the potential of ABPP in the discovery of biocatalysts from the thermophilic and lignocellulose-degrading white rot fungus Phanerochaete chrysosporium. By employing a comparative ABPP-based functional screen, including a direct profiling of wood substrate-bound enzymes, we identify those lignocellulose-degrading carbohydrate esterase (CE1 and CE15) and glycoside hydrolase (GH3, GH5, GH16, GH17, GH18, GH25, GH30, GH74 and GH79) enzymes specifically active in presence of the substrate. As expression of fungal enzymes remains challenging, our ABPP-mediated approach represents a preselection procedure for focusing experimental efforts on the most promising biocatalysts. Furthermore, this approach may also allow the functional annotation of domains-of-unknown functions (DUFs). The ABPP-based biocatalyst screening described here may thus allow the identification of active enzymes in a process of interest and the elucidation of novel biocatalysts that share no sequence similarity to known counterparts.},
  note = 	{<div>
<div>
<p>Funding by the Mercur Mercator Research Center Ruhr (Pr-2017-0020, to D.B., B.S., and M.K.) as well as the DFG (INST 20876/322-1, to M.K. and F.K.) is greatly acknowledged.</p>
</div>
</div>

<div>
<div>
<p>Open Access funding enabled and organized by Projekt DEAL.</p>
</div>
</div>

<p>The publication of this article was supported by the Publication Fund of the University of Duisburg-Essen.</p>},
  note = 	{<p>Schmerling, C., Sewald, L., Heilmann, G. <em>et al.</em> Identification of fungal lignocellulose-degrading biocatalysts secreted by <em>Phanerochaete chrysosporium</em> via activity-based protein profiling. <em>Commun Biol</em> <strong> 5</strong>, 1254 (2022). <a href="https://doi.org/10.1038/s42003-022-04141-x">https://doi.org/10.1038/s42003-022-04141-x</a></p>

<p>Published 16 November 2022</p>},
  note = 	{<p>Version of Record / Verlagsversion.</p>

<p>Corrected publication 2022.</p>},
  doi = 	{10.1038/s42003-022-04141-x},
  url = 	{https://duepublico2.uni-due.de/receive/duepublico_mods_00078551},
  url = 	{https://doi.org/10.1038/s42003-022-04141-x},
  file = 	{:https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00078616/Commun_Biol_2022_5_1254.pdf:PDF},
  language = 	{en}
}