Distinct And Long–lived Activity States Of Single Enzyme Molecules
Posted on
PDF, External LinkJournal Of The American Chemical Society | March 5, 2008
David M. Rissin, Hans H. Gorris and David R. Walt
Journal of the American Chemical Society
DOI: 10.1021/ja711414f
Abstract: Individual enzyme molecules have been observed to possess discrete and different turnover rates due to the presence of long-lived activity states. These stable activity states are thought to result from different molecular conformations or post-translational modifications. The distributions in kinetic activity observed in previous studies were obtained from small numbers of single enzyme molecules. Due to this limitation, it has not been possible to fully characterize the different kinetic and equilibrium binding parameters of single enzyme molecules. In this paper, we analyze hundreds of single β-galactosidase molecules simultaneously; using a high-density array of 50 000 fL-reaction chambers, we confirm the presence of long-lived kinetic states within a population of enzyme molecules. Our analysis has isolated the source of kinetic variability to kcat. The results explain the kinetic variability within enzyme molecule populations and offer a deeper understanding of the unique properties of single enzyme molecules. Gaining a more fundamental understanding of how individual enzyme molecules work within a population should provide insight into how they affect downstream biochemical processes. If the results reported here can be generalized to other enzymes, then the stochastic nature of individual enzyme molecule kinetics should have a substantial impact on the overall metabolic activity within a cell.
Share This Post
Related Posts
Next-Generation PhenoCode Molecular Barcoding Chemistry: Enhanced Reliability and Reproducibility for High-Plex Spatial Profiling
Poster Background Reliable and reproducible antibody barcoding is critical for spatial biology workflows onthe Akoya PhenoCycler®-Fusion 2.0 (PCF). We evaluated and optimized a complementarychemistry to the existing Antibody Conjugation Kit…
Neurology
Comparative Spatial Analyses of the Tumor Immune Landscape in Mouse Models of Glioblastoma Using the PhenoCode Discovery Mouse Neuro Panel and Customized Markers
Poster Background Developing effective therapies for glioblastoma (GBM) relies on robust preclinical animal models that enable detailed investigation of tumor biology, discovery of therapeutic targets, and evaluation of new treatment…
Oncology
Development of a Spatial Metabolic Map of Immunotherapy Sensitive and Resistant Cutaneous Skin Carcinoma
Poster Background Ultrahigh-Plex Single-cell Spatial Phenotyping has revealed valuable insights into the tumor immune microenvironment (TiME) for biomarker discovery and stratification of clinical responses. Metabolic reprogramming is a key hallmark…
Spatial Immunometabolic Profiling of Non-Small Cell Lung Cancer Reveals Distinct Immune Exclusion Patterns and Functional Niches
Analytical validation of a multiplex immunofluorescence 7-Biomarker Immunoprint® assay on the Akoya PhenoImager HT platform for stage I/II Melanoma
Neurology
Neurodegenerative biomarkers in different chambers of the eye relative to plasma: an agreement validation study
Alzheimer’s Research and Therapy | August 26, 2024 Sampani K, Ness S, Tuz-Zahra F, Aytan N, Spurlock EE, Alluri S, Chen X, Siegel NH, Alosco ML, Xia W, Tripodis Y,…
Neurology
Clinical validation of the LucentAD p-Tau 217 as a lab developed test (LDT) for clinical use
Poster The intersection of new therapeutic options for Alzheimer’s disease (AD), the emergence of accurate blood-based tests for AD, and the anticipated health system log jam for confirmatory diagnostic testing…
Neurology
Development of thresholds and a visualization tool for use of a blood test in routine clinical dementia practice
Alzheimer’s & Dementia | August 3, 2024 Verberk IMW, Jutte J, Kingma MY, Vigneswaran S, Gouda MMTEE, van Engelen MP, Alcolea D, Arranz J, Fortea J, Lleó A, Chevalier C,…