Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.

Food safety and foodborne diseases are significant global public health concerns. Meat and poultry carcasses can be contaminated by pathogens like E. coli and salmonella, by contact with animal fecal matter and ingesta during slaughter and processing. Since fecal matter and ingesta can host these pathogens, detection, and excision of contaminated regions on meat surfaces is crucial. Fluorescence imaging has proven its potential for the detection of fecal residue but requires expertise to interpret. In order to be used by meat cutters without special training, automated detection is needed. This study used fluorescence imaging and deep learning algorithms to automatically detect and segment areas of fecal matter in carcass images using EfficientNet-B0 to determine which meat surface images showed fecal contamination and then U-Net to precisely segment the areas of contamination. The EfficientNet-B0 model achieved a 97.32% accuracy (precision 97.66%, recall 97.06%, specificity 97.59%, F-score 97.35%) for discriminating clean and contaminated areas on carcasses. U-Net segmented areas with fecal residue with an intersection over union (IoU) score of 89.34% (precision 92.95%, recall 95.84%, specificity 99.79%, F-score 94.37%, and AUC 99.54%). These results demonstrate that the combination of deep learning and fluorescence imaging techniques can improve food safety assurance by allowing the industry to use CSI-D fluorescence imaging to train employees in trimming carcasses as part of their Hazard Analysis Critical Control Point zero-tolerance plan.

Characterization of the N370S mutant of glucocerebrosidase by hydrogen/deuterium exchange mass spectrometry.

An asparagine-to-serine substitution at residue 370 (N370S) in glucocerebrosidase (GCase) is the most prevalent mutation leading to Gaucher's disease, the most common lysosomal storage disorder. Two types of hydrogen/deuterium exchange experiment coupled with proteolysis and liquid chromatography-mass spectrometry (HDX-MS) were used to investigate the dynamic properties and unfolding stability of wt, R495H, and N370S GCases in the presence and absence of ligands. R495H GCase is used for enzyme replacement therapy and is considered to be a wt surrogate, whereas N370S is the most prevalent mutation leading to Gaucher's disease. Time-course HDX experiments of the GCases were performed under near-physiological conditions to detect the protein's local unfolding motions at a submolecular level. In guanidine-titration experiments, HDX reactions were performed with various concentrations of a chemical denaturant to provide the global stability of the proteins. The two types of experiment showed that all three purified GCases, wt, R495H, and N370S, have virtually identical local unfolding motions and global stabilities in solution. Combined with previous X-ray crystallographic studies, which showed indistinguishable backbone conformations for N370S and R495H GCase mutants and very similar melting temperatures for the wt, R495H, and N370S mutants, all three GCases are likely to have virtually identical structural and dynamic properties in solution. The guanidine-titration experiments revealed that the pharmacological chaperone, isofagomine (IFG), interacts more weakly with the N370S mutant than with the R495H GCase; this is consistent with the higher IC(50) value of IFG against N370S than against R495H. The time-course experiments showed that IFG restricts the local unfolding motions of N370S in the same way as those of R495H when the ligand saturates the proteins.

Mapping of discontinuous conformational epitopes by amide hydrogen/deuterium exchange mass spectrometry and computational docking.

Understanding antigen-antibody interactions at the sub-molecular level is of particular interest for scientific, regulatory, and intellectual property reasons, especially with increasing demand for monoclonal antibody therapeutic agents. Although various techniques are available for the determination of an epitope, there is no widely applicable, high-resolution, and reliable method available. Here, a combination approach using amide hydrogen/deuterium exchange coupled with proteolysis and mass spectrometry (HDX-MS) and computational docking was applied to investigate antigen-antibody interactions. HDX-MS is a widely applicable, medium-resolution, medium-throughput technology that can be applied to epitope identification. First, the epitopes of cytochrome c-E8, IL-13-CNTO607, and IL-17A-CAT-2200 interactions identified using the HDX-MS method were compared with those identified by X-ray co-crystal structures. The identified epitopes are in good agreement with those identified using high-resolution X-ray crystallography. Second, the HDX-MS data were used as constraints for computational docking. More specifically, the non-epitope residues of an antigen identified using HDX-MS were designated as binding ineligible during computational docking. This approach, termed HDX-DOCK, gave more tightly clustered docking poses than stand-alone docking for all antigen-antibody interactions examined and improved docking results significantly for the cytochrome c-E8 interaction.

Expansion of time window for mass spectrometric measurement of amide hydrogen/deuterium exchange reactions.

Backbone amide hydrogen exchange rates can be used to describe the dynamic properties of a protein. Amide hydrogen exchange rates in a native protein may vary from milliseconds (ms) to several years. Ideally, the rates of all amide hydrogens of the analyte protein can be determined individually. To achieve this goal, monitoring of a wider time window is critical, in addition to high sequence coverage and high sequence resolution. Significant improvements have been made to hydrogen/deuterium exchange mass spectrometry methods in the past decade for better sequence coverage and higher sequence resolution. On the other hand, little effort has been made to expand the experimental time window to accurately determine exchange rates of amide hydrogens. Many fast exchanging amide hydrogens are completely exchanged before completion of a typical short exchange time point (10-30 s) and many slow exchanging amide hydrogens do not start exchanging before a typical long exchanging time point (1-3 h). Here various experimental conditions, as well as a quenched-flow apparatus, are utilized to monitor cytochrome c amide hydrogen exchange behaviors over more than eight orders of magnitude (0.0044-1 000 000 s), when converted into the standard exchange condition (pH 7 and 23°C).

Specificity of immobilized porcine pepsin in H/D exchange compatible conditions.

Statistical analysis of data from 39 proteins (13 766 amino acid residues) digested with immobilized porcine pepsin under conditions compatible with hydrogen/deuterium (H/D) exchange (<1 degrees C, <30 s) was performed to examine pepsin cleavage specificity. The cleavage of pepsin was most influenced by the amino acid residue at position P1. Phe and Leu are favored residues each with a cleavage probability greater than 40%. His, Lys, Arg, or Pro residues prohibit cleavage when found at the P1 position. Pro also cannot be at position P2 (cleavage probability <0.3%). Occupation of the P3 position by His, Lys, or Arg, or occupation of the P2' position by Pro, also leads to very little cleavage (cleavage probability <1.7%). The average cleavage probability over the entire data set was 13.6%, which is slightly lower than the value previously obtained by Powers et al. (14.8%). This is due, in part, to the larger protein sizes used in the current study. While the specificity of pepsin was similar to that previously observed, higher selectivity was observed in the present study due to less experimental variation in the conditions used to generate our database.

Use of a designed peptide array to infer dissociation trends for nontryptic peptides in quadrupole ion trap and quadrupole time-of-flight mass spectrometry.

Observed peptide gas-phase fragmentation patterns are a complex function of many variables. To systematically probe this phenomenon, an array of 40 peptides was synthesized for study. The array of sequences was designed to hold certain variables (peptide length) constant and randomize or balance others (peptide amino acid distribution and position). A high-quality tandem mass spectrometry (MS/MS) data set was acquired for each peptide for all observed charge states on multiple MS instruments, quadrupole-time-of-flight and quadrupole ion trap. The data were analyzed as a function of total charge state and number of mobile protons. Previously known dissociation trends were observed, validating our approach. In addition, the general influence of basic amino acids on dissociation could be determined because, in contrast to the more widely studied tryptic peptides, the amino acids H, K, and R were positionally distributed. Interestingly, our results suggest that cleavage at all basic amino acids is suppressed when a mobile proton is available. Cleavage at H becomes favored only under conditions where a partially mobile proton is present, a caveat to the previously reported trend of enhanced cleavage at H. Finally, all acquired data were used as a benchmark to determine how well these sequences would have been identified in a database search using a common algorithm, Mascot.

Introduction: rethinking child care research.

This introduction summarizes the articles in this collection. It describes how the articles address one or more of the key elements of the child care research model: (a) selecting and measuring the independent variablesto determine the characteristics ("qualities") of the child care environment (and, in some studies, the characteristics of parents and family), (b) selecting and measuring the dependent variablesto determine the child's physical and developmental status after a period of time in a particular child care arrangement (usually a school year) compared with that of children in other arrangements (or simply the same child before spending time in the arrangement), (c) establishing causal linksbetween the independent and dependent variables that are either assumed in randomized experiments or estimated through statistical controls in nonexperimental studies, and (d) assessing impacts across subgroups to see whether the program benefits one particular group more (or less) than others. The collection closes with a proposal to develop a systematic federal research program to pursue improvements in child care and early childhood education programs.

The role of protein dynamics in increasing binding affinity for an engineered protein-protein interaction established by H/D exchange mass spectrometry.

It is generally accepted that protein and solvation dynamics play fundamental roles in the mechanisms of protein-protein binding; however, assessing their contribution meaningfully has not been straightforward. Here, hydrogen/deuterium exchange mass spectrometry (H/D-Ex) was employed to assess the role of dynamics for a high-affinity human growth hormone variant (hGHv) and the wild-type growth hormone (wt-hGH) each binding to the extracellular domain of their receptor (hGHbp). Comparative analysis of the transient fluctuations in the bound and unbound states revealed that helix-1 of hGHv undergoes significant transient unfolding in its unbound state, a characteristic that was not found in wt-hGH or apparent in the temperature factor data from the X-ray analysis of the unbound hGHv structure. In addition, upon hormone binding, an overall increase in stability was observed for the beta-sheet structure of hGHbp which included sites distant from the binding interface. On the basis of the stability, binding kinetics, and thermodynamic data presented, the increase in the binding free energy of hGHv is primarily generated by factors that appear to increase the energy of the unbound state relative to the free energy of the bound complex. This implies that an alternate route to engineer new interactions aiming to increase protein-protein association energies may be achieved by introducing certain mutations that destabilize one of the interacting molecules without destabilizing the resulting bound complex. Importantly, although the hGHv molecule is less stable than its wt-hGH counterpart, its resulting active ternary complex with two copies of hGHbp has comparable stability to the wt complex.

Hydrogen/deuterium-exchange (H/D-Ex) of PPARgamma LBD in the presence of various modulators.

A nuclear receptor, peroxisome proliferator-activated receptor gamma (PPARgamma), is a ligand-dependent transcription factor involved in glucose homeostasis and adipocyte differentiation. PPARgamma is the molecular target of various natural and synthetic molecules, including anti-diabetic agents such as rosiglitazone. Amide hydrogen/deuterium-exchange (H/D-Ex), coupled with proteolysis and mass spectrometry, was applied to study the dynamics of the PPARgamma ligand binding domain (LBD) with or without molecules that modulate PPARgamma activity. The H/D-Ex patterns of ligand-free PPARgamma LBD show that the ligand binding pocket of LBD is significantly more dynamic than the rest of the LBD. Presumably, the binding pocket is intrinsically disordered in order to accommodate different ligands. The presence of two full agonists (rosiglitazone and GW1929), a partial agonist (nTZDpa), and a covalent antagonist (GW9662), changed the dynamics/conformation of PPARgamma LBD and slowed the H/D exchange rate in various regions of the protein. The full agonists slowed the H/D exchange more globally and to a greater extent than the partial agonist or the antagonist, indicating that the full agonist stabilizes the PPARgamma LBD more than the partial agonist or the antagonist. One interesting observation is that the two full agonists significantly stabilized helix 12 while the partial agonist and the antagonist did not perturb the H/D exchange of this region. The results showed that the change in protein dynamics induced by ligand binding may be an important factor for the activation of genes and that H/D-Ex is a useful method for analyzing the biological activity of drug leads.