BACKGROUND: Analysis of global changes in gene transcription and translation by systems-based genomics and proteomics approaches provides only indirect information about protein function. In many cases, enzymatic activity fails to correlate with transcription or translation levels. Therefore, a direct method for broadly determining activities of an entire class of enzymes on a genome-wide scale would be of great utility. RESULTS: We have engineered chemical probes that can be used to broadly track activity of cysteine proteases. The structure of the general cysteine protease inhibitor E-64 was used as a scaffold. Analogs were synthesized by varying the core peptide recognition portion while adding affinity tags (biotin and radio-iodine) at distal sites. The resulting probes containing a P2 leucine residue (DCG-03 and DCG-04) targeted the same broad set of cysteine proteases as E-64 and were used to profile these proteases during the progression of a normal skin cell to a carcinoma. A library of DCG-04 derivatives was constructed in which the leucine residue was replaced with all natural amino acids. This library was used to obtain inhibitor activity profiles for multiple protease targets in crude cellular extracts. Finally, the affinity tag of DCG-04 allowed purification of modified proteases and identification by mass spectrometry. CONCLUSIONS: We have created a simple and flexible method for functionally identifying cysteine proteases while simultaneously tracking their relative activity levels in crude protein mixtures. These probes were used to determine relative activities of multiple proteases throughout a defined model system for cancer progression. Furthermore, information obtained from libraries of affinity probes provides a rapid method for obtaining detailed functional information without the need for prior purification/identification of targets.
BACKGROUND: Analysis of global changes in gene transcription and translation by systems-based genomics and proteomics approaches provides only indirect information about protein function. In many cases, enzymatic activity fails to correlate with transcription or translation levels. Therefore, a direct method for broadly determining activities of an entire class of enzymes on a genome-wide scale would be of great utility. RESULTS: We have engineered chemical probes that can be used to broadly track activity of cysteine proteases. The structure of the general cysteine protease inhibitor E-64 was used as a scaffold. Analogs were synthesized by varying the core peptide recognition portion while adding affinity tags (biotin and radio-iodine) at distal sites. The resulting probes containing a P2 leucine residue (DCG-03 and DCG-04) targeted the same broad set of cysteine proteases as E-64 and were used to profile these proteases during the progression of a normal skin cell to a carcinoma. A library of DCG-04 derivatives was constructed in which the leucine residue was replaced with all natural amino acids. This library was used to obtain inhibitor activity profiles for multiple protease targets in crude cellular extracts. Finally, the affinity tag of DCG-04 allowed purification of modified proteases and identification by mass spectrometry. CONCLUSIONS: We have created a simple and flexible method for functionally identifying cysteine proteases while simultaneously tracking their relative activity levels in crude protein mixtures. These probes were used to determine relative activities of multiple proteases throughout a defined model system for cancer progression. Furthermore, information obtained from libraries of affinity probes provides a rapid method for obtaining detailed functional information without the need for prior purification/identification of targets.
Authors: Alan Saghatelian; Nadim Jessani; Arul Joseph; Mark Humphrey; Benjamin F Cravatt Journal: Proc Natl Acad Sci U S A Date: 2004-06-25 Impact factor: 11.205
Authors: Renier A L van der Hoorn; Michiel A Leeuwenburgh; Matthew Bogyo; Matthieu H A J Joosten; Scott C Peck Journal: Plant Physiol Date: 2004-07 Impact factor: 8.340
Authors: Kerstin H Richau; Farnusch Kaschani; Martijn Verdoes; Twinkal C Pansuriya; Sherry Niessen; Kurt Stüber; Tom Colby; Hermen S Overkleeft; Matthew Bogyo; Renier A L Van der Hoorn Journal: Plant Physiol Date: 2012-02-27 Impact factor: 8.340
Authors: Jing Song; Joe Win; Miaoying Tian; Sebastian Schornack; Farnusch Kaschani; Muhammad Ilyas; Renier A L van der Hoorn; Sophien Kamoun Journal: Proc Natl Acad Sci U S A Date: 2009-01-26 Impact factor: 11.205