The state of Florida's estuaries and future needs in estuarine research: Part 2. an academic research agenda (review draft)

As a program supporting academic research that addresses recognized societal needs, the Florida Sea Grant Program is developing a research theme area on estuaries to provide a uniquely academic product that will augment mission-oriented research undertaken by government and by the private sector. This report is not a call for proposals. It does not prescribe a specific research plan. Rather, it is a concept paper designed to focus research on two broad "organizing themes": (1) the hydrology of Florida's estuaries, and (2) the impact of cyclic environmental variability on estuarine function. (46pp.

Comparison of Indices Proposed as Criteria for Assigning Skin Notation

Objectives: Skin notations are used as a hazard identification tool to flag chemicals associated with a potential risk related to transdermal penetration. The transparency and rigorousness of the skin notation assignment process have recently been questioned. We compared different approaches proposed as criteria for these notations as a starting point for improving and systematizing current practice. Methods: In this study, skin notations, dermal acute lethal dose 50 in mammals (LD50s) and two dermal risk indices derived from previously published work were compared using the lists of Swiss maximum allowable concentrations (MACs) and threshold limit values (TLVs) from the American Conference of Governmental Industrial Hygienists (ACGIH). The indices were both based on quantitative structure-activity relationship (QSAR) estimation of transdermal fluxes. One index compared the cumulative dose received through skin given specific exposure surface and duration to that received through lungs following inhalation 8 h at the MAC or TLV. The other index estimated the blood level increase caused by adding skin exposure to the inhalation route at kinetic steady state. Dermal-to-other route ratios of LD50 were calculated as secondary indices of dermal penetrability. Results: The working data set included 364 substances. Depending on the subdataset, agreement between the Swiss and ACGIH skin notations varied between 82 and 87%. Chemicals with a skin notation were more likely to have higher dermal risk indices and lower dermal LD50 than chemicals without a notation (probabilities between 60 and 70%). The risk indices, based on cumulative dose and kinetic steady state, respectively, appeared proportional up to a constant independent of chemical-specific properties. They agreed well with dermal LD50s (Spearman correlation coefficients −0.42 to −0.43). Dermal-to-other routes LD50 ratios were moderately associated with QSAR-based transdermal fluxes (Spearman correlation coefficients −0.2 to −0.3). Conclusions: The plausible but variable relationship between current skin notations and the different approaches tested confirm the need to improve current skin notations. QSAR-based risk indices and dermal toxicity data might be successfully integrated in a systematic alternative to current skin notations for detecting chemicals associated with potential dermal risk in the workplac

Implied Covenants of Good Faith and Fair Dealing: Loose Cannons of Liability for Financial Institutions?

The recent willingness of many courts and juries to impose liability on financial institutions has prompted an increasing number of customers to bring suits against their banks and creditors. These suits often involve claims for millions of dollars in both compensatory and punitive damages for alleged bank or creditor misconduct. For example, the Sixth Circuit recently affirmed a jury award of seven and one half million dollars to a borrower whose lender suddenly refused to advance funds under a line of credit agreement. In similar cases involving a bank\u27s refusal to lend money under credit agreements, a California jury awarded approximately twenty-two million dollars in actual and punitive damages to an aggrieved borrower and a Maine jury awarded fifteen million dollars in compensatory damages to a borrower. One reason for the increasing number of awards in suits against financial institutions is the expansion of bases for liability in situations involving banks and creditors. Both the Uniform Commercial Code (UCC or Code) and extensive federal banking regulations provide specific forms of redress for borrowers, debtors,and bank customers. In addition, traditional legal theories such as breach of contract, fraud, and duress are available in actions against financial institutions. The new generation of suits against banks and creditors combine reliance on traditional legal theories with allegations based on innovative or emerging theories of liability. The plaintiffs in a recent case, for example, not only charged their bank with fraud, but also claimed damages for breach of fiduciary obligation and excessive interference with the business of the debtor

Exclusive neuronal expression of SUCLA2 in the human brain

SUCLA2 encodes the ATP-forming subunit (A-SUCL-) of succinyl-CoA ligase, an enzyme of the citric acid cycle. Mutations in SUCLA2 lead to a mitochondrial disorder manifesting as encephalomyopathy with dystonia, deafness and lesions in the basal ganglia. Despite the distinct brain pathology associated with SUCLA2 mutations, the precise localization of SUCLA2 protein has never been investigated. Here we show that immunoreactivity of A-SUCL- in surgical human cortical tissue samples was present exclusively in neurons, identified by their morphology and visualized by double labeling with a fluorescent Nissl dye. A-SUCL- immunoreactivity co-localized >99% with that of the d subunit of the mitochondrial F0-F1 ATP synthase. Specificity of the anti-A-SUCL- antiserum was verified by the absence of labeling in fibroblasts from a patient with a complete deletion of SUCLA2. A-SUCL- immunoreactivity was absent in glial cells, identified by antibodies directed against the glial markers GFAP and S100. Furthermore, in situ hybridization histochemistry demonstrated that SUCLA2 mRNA was present in Nissl-labeled neurons but not glial cells labeled with S100. Immunoreactivity of the GTP-forming subunit (G-SUCL-) encoded by SUCLG2, or in situ hybridization histochemistry for SUCLG2 mRNA could not be demonstrated in either neurons or astrocytes. Western blotting of post mortem brain samples revealed minor G-SUCL- immunoreactivity that was however, not upregulated in samples obtained from diabetic versus non-diabetic patients, as has been described for murine brain. Our work establishes that SUCLA2 is expressed exclusively in neurons in the human cerebral cortex

Kinetic checkpoint at a late step in translation initiation.

The translation initiation efficiency of a given mRNA is determined by its translation initiation region (TIR). mRNAs are selected into 30S initiation complexes according to the strengths of the secondary structure of the TIR, the pairing of the Shine-Dalgarno sequence with 16S rRNA, and the interaction between initiator tRNA and the start codon. Here, we show that the conversion of the 30S initiation complex into the translating 70S ribosome constitutes another important mRNA control checkpoint. Kinetic analysis reveals that 50S subunit joining and dissociation of IF3 are strongly influenced by the nature of the codon used for initiation and the structural elements of the TIR. Coupling between the TIR and the rate of 70S initiation complex formation involves IF3- and IF1-induced rearrangements of the 30S subunit, providing a mechanism by which the ribosome senses the TIR and determines the efficiency of translational initiation of a particular mRNA

The ribosome-bound initiation factor 2 recruits initiator tRNA to the 30S initiation complex.

Bacterial translation initiation factor 2 (IF2) is a GTPase that promotes the binding of the initiator fMet-tRNA(fMet) to the 30S ribosomal subunit. It is often assumed that IF2 delivers fMet-tRNA(fMet) to the ribosome in a ternary complex, IF2·GTP·fMet-tRNA(fMet). By using rapid kinetic techniques, we show here that binding of IF2·GTP to the 30S ribosomal subunit precedes and is independent of fMet-tRNA(fMet) binding. The ternary complex formed in solution by IF2·GTP and fMet-tRNA is unstable and dissociates before IF2·GTP and, subsequently, fMet-tRNA(fMet) bind to the 30S subunit. Ribosome-bound IF2 might accelerate the recruitment of fMet-tRNA(fMet) to the 30S initiation complex by providing anchoring interactions or inducing a favourable ribosome conformation. The mechanism of action of IF2 seems to be different from that of tRNA carriers such as EF-Tu, SelB and eukaryotic initiation factor 2 (eIF2), instead resembling that of eIF5B, the eukaryotic subunit association factor

Bayesian Model Selection Applied to the Analysis of Fluorescence Correlation Spectroscopy Data of Fluorescent Proteins in Vitro and in Vivo

Fluorescence correlation spectroscopy (FCS) is a powerful technique to investigate molecular dynamics with single molecule sensitivity. In particular, in the life sciences it has found widespread application using fluorescent proteins as molecularly specific labels. However, FCS data analysis and interpretation using fluorescent proteins remains challenging due to typically low signal-to-noise ratio of FCS data and correlated noise in autocorrelated data sets. As a result, naive fitting procedures that ignore these important issues typically provide similarly good fits for multiple competing models without clear distinction of which model is preferred given the signal-to-noise ratio present in the data. Recently, we introduced a Bayesian model selection procedure to overcome this issue with FCS data analysis. The method accounts for the highly correlated noise that is present in FCS data sets and additionally penalizes model complexity to prevent over interpretation of FCS data. Here, we apply this procedure to evaluate FCS data from fluorescent proteins assayed in vitro and in vivo. Consistent with previous work, we demonstrate that model selection is strongly dependent on the signal-to-noise ratio of the measurement, namely, excitation intensity and measurement time, and is sensitive to saturation artifacts. Under fixed, low intensity excitation conditions, physical transport models can unambiguously be identified. However, at excitation intensities that are considered moderate in many studies, unwanted artifacts are introduced that result in nonphysical models to be preferred. We also determined the appropriate fitting models of a GFP tagged secreted signaling protein, Wnt3, in live zebrafish embryos, which is necessary for the investigation of Wnt3 expression and secretion in development. Bayes model selection therefore provides a robust procedure to determine appropriate transport and photophysical models for fluorescent proteins when appropriate models are provided, to help detect and eliminate experimental artifacts in solution, cells, and in living organisms.National Science Foundation (U.S.). Physics of Living Systems ProgramNational Institute of Mental Health (U.S.) (Award U01MH106011

FAST, a method based on split-GFP for the detection in solution of proteins synthesized in cell-free expression systems

Cell-free protein synthesis (CFPS) systems offer a versatile platform for a wide range of applications. However, the traditional methods for detecting proteins synthesized in CFPS, such as radioactive labeling, fluorescent tagging, or electrophoretic separation, may be impractical, due to environmental hazards, high costs, technical complexity, and time consuming procedures. These limitations underscore the need for new approaches that streamline the detection process, facilitating broader application of CFPS. By harnessing the reassembly capabilities of two GFP fragments—specifically, the GFP1-10 and GFP11 fragments—we have crafted a method that simplifies the detection of in vitro synthesized proteins called FAST (Fluorescent Assembly of Split-GFP for Translation Tests). FAST relies on the fusion of the small tag GFP11 to virtually any gene to be expressed in CFPS. The in vitro synthesized protein:GFP11 can be rapidly detected in solution upon interaction with an enhanced GFP1-10 fused to the Maltose Binding Protein (MBP:GFP1-10). This interaction produces a fluorescent signal detectable with standard fluorescence readers, thereby indicating successful protein synthesis. Furthermore, if required, detection can be coupled with the purification of the fluorescent complex using standardized MBP affinity chromatography. The method's versatility was demonstrated by fusing GFP11 to four distinct E. coli genes and analyzing the resulting protein synthesis in both a homemade and a commercial E. coli CFPS system. Our experiments confirmed that the FAST method offers a direct correlation between the fluorescent signal and the amount of synthesized protein:GFP11 fusion, achieving a sensitivity threshold of 8 ± 2 pmol of polypeptide, with fluorescence plateauing after 4 h. Additionally, FAST enables the investigation of translation inhibition by antibiotics in a dose-dependent manner. In conclusion, FAST is a new method that permits the rapid, efficient, and non-hazardous detection of protein synthesized within CFPS systems and, at the same time, the purification of the target protein