ABSTRACT
Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
Subject(s)
Cell- and Tissue-Based Therapy , Delivery of Health Care/methods , Delivery of Health Care/trends , Medicine/methods , Medicine/trends , Pathology , Single-Cell Analysis , Artificial Intelligence , Delivery of Health Care/ethics , Delivery of Health Care/standards , Early Diagnosis , Education, Medical , Europe , Female , Health , Humans , Legislation, Medical , Male , Medicine/standardsABSTRACT
A wide range of methods are currently available for determining the dissociation constant between a protein and interacting small molecules. However, most of these require access to specialist equipment, and often require a degree of expertise to effectively establish reliable experiments and analyze data. Differential scanning fluorimetry (DSF) is being increasingly used as a robust method for initial screening of proteins for interacting small molecules, either for identifying physiological partners or for hit discovery. This technique has the advantage that it requires only a PCR machine suitable for quantitative PCR, and so suitable instrumentation is available in most institutions; an excellent range of protocols are already available; and there are strong precedents in the literature for multiple uses of the method. Past work has proposed several means of calculating dissociation constants from DSF data, but these are mathematically demanding. Here, we demonstrate a method for estimating dissociation constants from a moderate amount of DSF experimental data. These data can typically be collected and analyzed within a single day. We demonstrate how different models can be used to fit data collected from simple binding events, and where cooperative binding or independent binding sites are present. Finally, we present an example of data analysis in a case where standard models do not apply. These methods are illustrated with data collected on commercially available control proteins, and two proteins from our research program. Overall, our method provides a straightforward way for researchers to rapidly gain further insight into protein-ligand interactions using DSF.
Subject(s)
Fluorometry/methods , Proteins/chemistry , Small Molecule Libraries/chemistry , High-Throughput Screening Assays/methods , Kinetics , Ligands , Proteins/metabolism , Small Molecule Libraries/metabolismABSTRACT
A putative haloalkane dehalogenase has been identified in a marine Rhodobacteraceae and subsequently cloned and over-expressed in Escherichia coli. The enzyme has highest activity towards the substrates 1,6-dichlorohexane, 1-bromooctane, 1,3-dibromopropane and 1-bromohexane. The crystal structures of the enzyme in the native and product bound forms reveal a large hydrophobic active site cavity. A deeper substrate binding pocket defines the enzyme preference towards substrates with longer carbon chains. Arg136 at the bottom of the substrate pocket is positioned to bind the distal halogen group of extended di-halogenated substrates.
Subject(s)
Bacterial Proteins/chemistry , Hydrolases/chemistry , Rhodobacteraceae/enzymology , Amino Acid Sequence , Catalytic Domain , Crystallography, X-Ray , Cyclohexanes/chemistry , Hydrocarbons, Halogenated/chemistry , Hydrophobic and Hydrophilic Interactions , Kinetics , Models, Molecular , Molecular Sequence Data , Propane/analogs & derivatives , Propane/chemistry , Protein Binding , Protein Structure, Secondary , Substrate SpecificityABSTRACT
The recombinant L-haloacid dehalogenase from the marine bacterium Psychromonas ingrahamii has been cloned and over-expressed in Escherichia coli. It shows activity towards monobromoacetic (100 %), monochloroacetic acid (62 %), S-chloropropionic acid (42 %), S-bromopropionic acid (31 %), dichloroacetic acid (28 %) and 2-chlorobutyric acid (10 %), respectively. The L-haloacid dehalogenase has highest activity towards substrates with shorter carbon chain lengths (≤ C3), without preference towards a chlorine or bromine at the α-carbon position. Despite being isolated from a psychrophilic bacterium, the enzyme has mesophilic properties with an optimal temperature for activity of 45 °C. It retains above 70 % of its activity after being incubated at 65 °C for 90 min before being assayed at 25 °C. The enzyme is relatively stable in organic solvents as demonstrated by activity and thermal shift analysis. The V max and K m were calculated to be 0.6 µM min(-1) mg(-1) and 1.36 mM with monobromoacetic acid, respectively. This solvent-resistant and stable L-haloacid dehalogenase from P. ingrahamii has potential to be used as a biocatalyst in industrial processes.
Subject(s)
Gammaproteobacteria/enzymology , Hydrolases/genetics , Hydrolases/metabolism , Industrial Microbiology/methods , Models, Molecular , Protein Conformation , Acetates/metabolism , Amino Acid Sequence , Base Sequence , Biocatalysis , Cloning, Molecular , Computational Biology , DNA Primers/genetics , Dichloroacetic Acid/metabolism , Escherichia coli , Molecular Sequence Data , Propionates/metabolism , Sequence Analysis, DNA , TemperatureABSTRACT
The putative L-haloacid dehalogenase gene (DehRhb) from a marine Rhodobacteraceae family was cloned and overexpressed in Escherichia coli. The DehRhb protein was shown to be an L-haloacid dehalogenase with highest activity towards brominated substrates with short carbon chains (≤ C3). The optimal temperature for enzyme activity was 55 °C, and the Vmax and Km were 1.75 µm·min(-1) ·mg(-1) of protein and 6.72 mm, respectively, when using monobromoacetic acid as a substrate. DehRhb showed moderate thermal stability, with a melting temperature of 67 °C. The enzyme demonstrated high tolerance to solvents, as shown by thermal shift experiments and solvent incubation assays. The DehRhb protein was crystallized and structures of the native, reaction intermediate and substrate-bound forms were determined. The active site of DehRhb had significant differences from previously studied L-haloacid dehalogenases. The asparagine and arginine residues shown to be essential for catalytic activity in other L-haloacid dehalogenases are not present in DehRhb. The histidine residue which replaces the asparagine residue in DehRhb was coordinated by a conformationally strained glutamate residue that replaces a conserved glycine. The His/Glu dyad is positioned for deprotonation of the catalytic water which attacks the ester bond in the reaction intermediate. The catalytic water in DehRhb is shifted by ~ 1.5 Å from its position in other L-haloacid dehalogenases. A similar His/Glu or Asp dyad is known to activate the catalytic water in haloalkane dehalogenases. The DehRhb enzyme represents a novel member within the L-haloacid dehalogenase family and it has potential to be used as a commercial biocatalyst.