STAT3 and SMAD1 Signaling in Medaka Embryonic Stem-Like Cells and Blastula Embryos

Cloning, molecular characterization, and expression analysis of the signal transducer and activator of transcription 3 (STAT₃) gene from grass carp (Ctenopharyngodon idellus)

Signal transducer and activator of transcription 3 (STAT₃) binds to Janus kinase 2 (JAK₂) to initiate the JAK₂/STAT₃ signal transduction pathway, which plays an important role in cancer cell proliferation, immune regulation, reproduction, lipid metabolism, and other physiological processes of the organism. In this study, the cDNA sequence of the STAT₃ gene from grass carp was cloned using RACE (rapid-amplification of cDNA ends). Twelve characteristics of the STAT₃ gene and its encoded protein sequence were predicted and analyzed using bioinformatics methods; these features included the general physical and chemical properties, the hydrophobicity, the secondary structure and the three-dimensional structure of the protein. Quantitative real-time PCR was employed to detect grass carp STAT₃ expression pattern in different tissues. The results showed that the full-length STAT₃ gene from grass carp is 2739-bp long and contains a 216-bp 5'UTR, a 300-bp 3'UTR, and a 2223-bp open reading frame (ORF) that encodes a 740-amino acid peptide. The deduced protein exhibited 99%∼94% homology to the STAT₃ protein of zebrafish (Danio rerio), medaka (Oryzias latipes), turbot (Scophthalmus maximus), white-spotted char (Salvelinus leucomaenis), mandarin fish (Siniperca chuatsi), rainbow trout (Oncorhynchus mykiss), and green pufferfish (Tetraodon fluviatilis). The deduced grass carp STAT₃ protein contains a protein interaction domain, an alpha domain, a DNA binding domain, and an SH2 domain. The STAT₃ protein of grass carp is a hydrophilic and non-secretory protein, and its molecular mass and isoeletronic point were found to be 98,5412.1 Da and 6.39, respectively. The structural elements of STAT₃ included α-helixes, β-sheets, and loops. The grass carp STAT₃ is expressed in all of the six tissues tested, which were the liver, spleen, gill, muscle, heart, and brain. The highest expression level was found in the liver (P < 0.05), whereas a significantly lower expression level was found in the spleen, gills, brain, and muscle (P < 0.05), and the lowest expression level was found in the heart (P < 0.05). This study provides a basis for further structural and functional exploration of the STAT₃ from grass carp, including its deduced protein and its signal transduction function.

Burst BMP triggered receptor kinase activity drives Smad1 mediated long-term target gene oscillation in C2C12 cells

Bone Morphogenetic Proteins (BMPs) are important growth factors that regulate many cellular processes. During embryogenesis they act as morphogens and play a critical role during organ development. They influence cell fates via concentration-gradients in the embryos where cells transduce this extracellular information into gene expression profiles and cell fate decisions. How receiving cells decode and quantify BMP2/4 signals is hardly understood. There is little data on the quantitative relationships between signal input, transducing molecules, their states and location, and ultimately their ability to integrate graded systemic inputs and generate qualitative responses. Understanding this signaling network on a quantitative level should be considered a prerequisite for efficient pathway modulation, as the BMP pathway is a prime target for therapeutic invention. Hence, we quantified the spatial distribution of the main signal transducer of the BMP2/4 pathway in response to different types and levels of stimuli in c2c12 cells. We found that the subcellular localization of Smad1 is independent of ligand concentration. In contrast, Smad1 phosphorylation levels relate proportionally to BMP2 ligand concentrations and they are entirely located in the nucleus. Interestingly, we found that BMP2 stimulates target gene expression in non-linear, wave-like forms. Amplitudes showed a clear concentration-dependency, for sustained and transient stimulation. We found that even burst-stimulation triggers gene-expression wave-like modulations that are detectable for at least 30 h. Finally, we show here that target gene expression oscillations depend on receptor kinase activity, as the kinase drives further expression pulses without receptor reactivation and the target gene expression breaks off after inhibitor treatment in c2c12 cells.

Ectopic expression of neurogenin 2 alone is sufficient to induce differentiation of embryonic stem cells into mature neurons

Recent studies show that combinations of defined key developmental transcription factors (TFs) can reprogram somatic cells to pluripotency or induce cell conversion of one somatic cell type to another. However, it is not clear if single genes can define a cell̀s identity and if the cell fate defining potential of TFs is also operative in pluripotent stem cells in vitro. Here, we show that ectopic expression of the neural TF Neurogenin2 (Ngn2) is sufficient to induce rapid and efficient differentiation of embryonic stem cells (ESCs) into mature glutamatergic neurons. Ngn2-induced neuronal differentiation did not require any additional external or internal factors and occurred even under pluripotency-promoting conditions. Differentiated cells displayed neuron-specific morphology, protein expression, and functional features, most importantly the generation of action potentials and contacts with hippocampal neurons. Gene expression analyses revealed that Ngn2-induced in vitro differentiation partially resembled neurogenesis in vivo, as it included specific activation of Ngn2 target genes and interaction partners. These findings demonstrate that a single gene is sufficient to determine cell fate decisions of uncommitted stem cells thus giving insights into the role of key developmental genes during lineage commitment. Furthermore, we present a promising tool to improve directed differentiation strategies for applications in both stem cell research and regenerative medicine.

CrossQuery: a web tool for easy associative querying of transcriptome data

Enormous amounts of data are being generated by modern methods such as transcriptome or exome sequencing and microarray profiling. Primary analyses such as quality control, normalization, statistics and mapping are highly complex and need to be performed by specialists. Thereafter, results are handed back to biomedical researchers, who are then confronted with complicated data lists. For rather simple tasks like data filtering, sorting and cross-association there is a need for new tools which can be used by non-specialists. Here, we describe CrossQuery, a web tool that enables straight forward, simple syntax queries to be executed on transcriptome sequencing and microarray datasets. We provide deep-sequencing data sets of stem cell lines derived from the model fish Medaka and microarray data of human endothelial cells. In the example datasets provided, mRNA expression levels, gene, transcript and sample identification numbers, GO-terms and gene descriptions can be freely correlated, filtered and sorted. Queries can be saved for later reuse and results can be exported to standard formats that allow copy-and-paste to all widespread data visualization tools such as Microsoft Excel. CrossQuery enables researchers to quickly and freely work with transcriptome and microarray data sets requiring only minimal computer skills. Furthermore, CrossQuery allows growing association of multiple datasets as long as at least one common point of correlated information, such as transcript identification numbers or GO-terms, is shared between samples. For advanced users, the object-oriented plug-in and event-driven code design of both server-side and client-side scripts allow easy addition of new features, data sources and data types.

Fishing pluripotency mechanisms in vivo

To understand the molecular mechanisms that regulate the biology of embryonic stem cells (ESCs) it is necessary to study how they behave in vivo in their natural environment. It is particularly important to study the roles and interactions of the different proteins involved in pluripotency and to use this knowledge for therapeutic purposes. The recent description of key pluripotency factors like Oct4 and Nanog in non-mammalian species has introduced other animal models, such as chicken, Xenopus, zebrafish and medaka, to the study of pluripotency in vivo. These animal models complement the mouse model and have provided new insights into the evolution of Oct4 and Nanog and their different functions during embryonic development. Furthermore, other pluripotency factors previously identified in teleost fish such as Klf4, STAT3, Sox2, telomerase and Tcf3 can now be studied in the context of a functional pluripotency network. The many experimental advantages of fish will fuel rapid analysis of the roles of pluripotency factors in fish embryonic development and the identification of new molecules and mechanisms governing pluripotency.

Lineage-specific co-evolution of the Egf receptor/ligand signaling system

Background

The epidermal growth factor receptor (Egfr) with its numerous ligands has fundamental roles in development, cell differentiation and physiology. Dysfunction of the receptor-ligand system contributes to many human malignancies. Consistent with such various tasks, the Egfr gene family has expanded during vertebrate evolution as a consequence of several rounds of whole genome duplication. Of particular interest is the effect of the fish-specific whole genome duplication (FSGD) on the ligand-receptor system, as it has supplied this largest group of vertebrates with additional opportunities for sub- and/or neofunctionalization in this signaling system.

Results

We identified the predicted components of the Egf receptor-ligand signaling system in teleost fishes (medaka, platyfish, stickleback, pufferfishes and zebrafish). We found two duplicated egfr genes, egfra and egfrb, in all available teleost genomes. Surprisingly only one copy for each of the seven Egfr ligands could be identified in most fishes, with zebrafish hbegf being the only exception. Special focus was put on medaka, for which we more closely investigated all Egf receptors and Egfr ligands. The different expression patterns of egfra, egfrb and their ligands in medaka tissues and embryo stages suggest differences in role and function. Preferential co-expression of different subsets of Egfr ligands corroborates the possible subfunctionalization and specialization of the two receptors in adult tissues. Bioinformatic analyses of the ligand-receptor interface between Egfr and its ligands show a very weak evolutionary conservation within this region. Using in vitro analyses of medaka Egfra, we could show that this receptor is only activated by medaka ligands, but not by human EGF. Altogether, our data suggest a lineage-specific Egfr/Egfr ligand co-evolution.

Conclusions

Our data indicate that medaka Egfr signaling occurs via its two copies, Egfra and Egfrb, each of them being preferentially coexpressed with different subsets of Egfr ligands. This fish-specific occurrence of Egf receptor specialization offers unique opportunities to study the functions of different Egf receptor-ligand combinations and their biological outputs in vertebrates. Furthermore, our results strongly support the use of homologous ligands in future studies, as sufficient cross-specificity is very unlikely for this ligand/receptor system.

lin9 is required for mitosis and cell survival during early zebrafish development

LIN9 has been described as a regulator of G(1)/S and G(2)/M progression of the cell cycle in invertebrates and human cell lines. To elucidate the in vivo function of LIN9 during vertebrate development, we took advantage of the teleost zebrafish (Danio rerio). By means of antisense morpholinos we show here that Lin9-depleted embryonic cells accumulate in mitosis. Flow cytometry and confocal microscopy data demonstrate that the delay in mitotic progression is followed by apoptosis, which strongly manifests in the developing central nervous system. In accordance with these findings, we identified a cohort of Lin9-regulated genes required for different mitotic processes, including mitotic entry, metaphase/anaphase transition, and cytokinesis. Our data establish LIN9 as an essential regulator of mitosis in vertebrate development.