Characterization of mesendoderm: a diverging point of the definitive endoderm and mesoderm in embryonic stem cell differentiation culture

Bipotent mesendoderm that can give rise to both endoderm and mesoderm is an established entity from C. elegans to zebrafish. Although previous studies in mouse embryo indicated the presence of bi-potent mesendoderm cells in the organizer region, characterization of mesendoderm and its differentiation processes are still unclear. As bi-potent mesendoderm is implicated as the major precursor of definitive endoderm, its identification is also essential for exploring the differentiation of definitive endoderm. In this study, we have established embryonic stem (ES) cell lines that carry GFP gene in the goosecoid (Gsc) gene locus and have investigated the differentiation course of mesendodermal cells using Gsc expression as a marker. Our results show that mesendoderm is represented as a Gsc-GFP+ E-cadherin(ECD)+ PDGFRalpha(alphaR)+ population and is selectively induced from ES cells under defined conditions containing either activin or nodal. Subsequently, it diverges to Gsc+ ECD+ alphaR- and Gsc+ ECD- alphaR+ intermediates that eventually differentiate into definitive endoderm and mesodermal lineages, respectively. The presence of mesendodermal cells in nascent Gsc+ ECD+ alphaR+ population was also confirmed by single cell analysis. Finally, we show that the defined culture condition and surface markers developed in this study are applicable for obtaining pure mesendodermal cells and their immediate progenies from genetically unmanipulated ES cells.     

Serial bull cloning by somatic cell nuclear transfer

Although the list of species successfully cloned continues to grow, serial cloning has not been reported in species other than the mouse. Here we describe two live births of second-generation clones of a bull. Clones of the first and second generations appear healthy and have normal telomere lengths. Our attempts to produce the third generation of clones were unsuccessful.     

Fermentation,Isolation and Characterization of Isonitrile Antibiotics

A number of soil isolates belonging to the genus Trichoderma were found to produce isonitrins A, B, C and D and isonitrinic acids E and F, a new class of antibiotics characterized by the presence of isonitrile groups. Taxonomy of the producing organisms, fermentation, isolation and physicochemical and biological properties of isonitrins and isonitrinic acids are reported. Isonitrin A showed the highest in vitro antimicrobial activities against gram-positive and negative bacteria and fungi.     

X‐ray and Cryo‐EM structures reveal mutual conformational changes of Kinesin and GTP‐state microtubules upon binding

The molecular motor kinesin moves along microtubules using energy from ATP hydrolysis in an initial step coupled with ADP release. In neurons, kinesin‐1/KIF5C preferentially binds to the GTP‐state microtubules over GDP‐state microtubules to selectively enter an axon among many processes; however, because the atomic structure of nucleotide‐free KIF5C is unavailable, its molecular mechanism remains unresolved. Here, the crystal structure of nucleotide‐free KIF5C and the cryo‐electron microscopic structure of nucleotide‐free KIF5C complexed with the GTP‐state microtubule are presented. The structures illustrate mutual conformational changes induced by interaction between the GTP‐state microtubule and KIF5C. KIF5C acquires the ‘rigor conformation’, where mobile switches I and II are stabilized through L11 and the initial portion of the neck‐linker, facilitating effective ADP release and the weak‐to‐strong transition of KIF5C microtubule affinity. Conformational changes to tubulin strengthen the longitudinal contacts of the GTP‐state microtubule in a similar manner to GDP‐taxol microtubules. These results and functional analyses provide the molecular mechanism of the preferential binding of KIF5C to GTP‐state microtubules.     

Stable isotope-dilution liquid chromatography/tandem mass spectrometry method for determination of thyroxine in saliva

A liquid chromatography/electrospray ionization-tandem mass spectrometry (LC/ESI-MS/MS) method for the determination of thyroxine (T₄) in human saliva has been developed and validated. The saliva was deproteinized with methanol, purified using a Strata-X? cartridge, and subjected to LC/ESI-MS/MS. Quantification was based on selected reaction monitoring, and [¹³C₆]-T₄ was used as the internal standard. This method allowed the reproducible (intra- and inter-assay relative standard deviations, <4.8%) and accurate (analytical recovery, 96.5–99.6%) quantification of the salivary T₄ using a 400 μl sample, and the limit of quantification was 25.0 pg/ml. A preliminary study using the developed method found that there is a diagnosable difference in the salivary T₄ concentration between the euthyroid subjects and the patients with Graves disease.     

Evaluating (13)C enrichment data of free amino acids for precise metabolic flux analysis

Metabolic flux analysis using (13)C enrichment data of intracellular free amino acids (FAAs) can improve the time resolution of flux estimation compared to analysis of proteinogenic amino acid data owing to the faster turnover times of FAAs. The nature of the (13)C enrichment dynamics of FAAs remains obscure, however, especially with regard to its dependence on culture conditions, even though an understanding of dynamic behavior is important for precise metabolic flux estimation. In this study, we analyzed the (13)C enrichment dynamics of free and proteinogenic amino acids in a series of continuous culture experiments with Escherichia coli. The results indicated that the effect of protein degradation on the (13)C enrichment of FAAs was negligible under cellular growth conditions. Furthermore, they showed that the time scale necessary for (13)C enrichment dynamics of FAAs to reach a steady state depends on culture conditions such as oxygen uptake rate, which was likely due to different pool sizes of intracellular metabolites. The results demonstrate the importance of analyzing (13)C enrichment dynamics for the precise estimation of metabolic fluxes using FAA data.