ArticleMolecular bioSystems2013
Activity-based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a, NG14, and RUT-C30.
Article in Molecular bioSystems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Dynamic and Functional Profiling of Xylan-Degrading Enzymes inACS central science · 2019Article
- The influence of feedstock characteristics on enzyme production inBiotechnology for biofuels · 2019Review
- Finding Biomass Degrading Enzymes Through an Activity-Correlated Quantitative Proteomics Platform (ACPP).Journal of the American Society for Mass Spectrometry · 2017Article
- I-SceI-mediated double-strand DNA breaks stimulate efficient gene targeting in the industrial fungus Trichoderma reesei.Applied microbiology and biotechnology · 2015Article
- Advancing understanding of microbial bioenergy conversion processes by activity-based protein profiling.Biotechnology for biofuels · 2015Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Lignocellulosic biomass has great promise as a highly abundant and renewable source for the production of biofuels. However, the recalcitrant nature of lignocellulose toward hydrolysis into soluble sugars remains a significant challenge to harnessing the potential of this source of bioenergy. A primary method for deconstructing lignocellulose is via chemical treatments, high temperatures, and hydrolytic enzyme cocktails, many of which are derived from the fungus Trichoderma reesei. Herein, we use an activity-based probe for glycoside hydrolases to rapidly identify optimal conditions for maximum enzymatic lignocellulose deconstruction. We also demonstrate that subtle changes to enzyme composition and activity in various strains of T. reesei can be readily characterized by our probe approach. The approach also permits multimodal measurements, including fluorescent gel-based analysis of activity in response to varied conditions and treatments, and mass spectrometry-based quantitative identification of labelled proteins. We demonstrate the promise this probe approach holds to facilitate rapid production of enzyme cocktails for high-efficiency lignocellulose deconstruction to accommodate high-yield biofuel production.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.