940 research outputs found
Life history and ecological genetics of the colonial ascidian Botryllus schlosseri
The colonial ascidian Botryllus schlosseri is a cosmopolitan, marine filter feeder, introduced as a laboratory research
organism in the 1950s. Currently, it is widely used in many laboratories to investigate a variety of biological questions.
Recently, it has become a species of concern, as it is an invasive species in many coastal environments. Here, we review
studies on the geographical distribution of the species, sexual and asexual reproduction in the field, tolerance to
temperature, salinity and anthropogenic activity, polychromatism, enzymatic polymorphism, and the genetic basis of
pigmentation. Studying the relationship between genetic polymorphism and the adaptation of B. schlosseri to
environmental stress is a challenge of future research and will improve our understanding of its evolutionary success
and invasive potential
Promotion of proliferation and metastasis of hepatocellular carcinoma by LncRNA00673 based on the targeted-regulation of notch signaling pathway
we read with great interest the paper by Dr. Chen et al1, recently published in European
Review for Medical and Pharmacological Sciences and titled ‘‘Promotion of proliferation and
metastasis of hepatocellular carcinoma by LncRNA00673 based on the targeted-regulation
of notch signaling pathway’’. Authors concluded that lncRNA00673 is highly expressed and
may be a potential target for the treatment of Hepatocellular Carcinoma (HCC). Moreover,
according to authors, it can promote the proliferation and metastasis of HCC by the regulation
of Notch signaling pathway. We congratulate the authors for their interesting work
Projection-based reduced order models for a cut finite element method in parametrized domains
This work presents a reduced order modeling technique built on a high fidelity embedded mesh finite element method. Such methods, and in particular the CutFEM method, are attractive in the generation of projection-based reduced order models thanks to their capabilities to seamlessly handle large deformations of parametrized domains and in general to handle topological changes. The combination of embedded methods and reduced order models allows us to obtain fast evaluation of parametrized problems, avoiding remeshing as well as the reference domain formulation, often used in the reduced order modeling for boundary fitted finite element formulations. The resulting novel methodology is presented on linear elliptic and Stokes problems, together with several test cases to assess its capability. The role of a proper extension and transport of embedded solutions to a common background is analyzed in detail. \ua9 2019 Elsevier Lt
A reduced order variational multiscale approach for turbulent flows
The purpose of this work is to present different reduced order model strategies starting from full order simulations stabilized using a residual-based variational multiscale (VMS) approach. The focus is on flows with moderately high Reynolds numbers. The reduced order models (ROMs) presented in this manuscript are based on a POD-Galerkin approach. Two different reduced order models are presented, which differ on the stabilization used during the Galerkin projection. In the first case, the VMS stabilization method is used at both the full order and the reduced order levels. In the second case, the VMS stabilization is used only at the full order level, while the projection of the standard Navier-Stokes equations is performed instead at the reduced order level. The former method is denoted as consistent ROM, while the latter is named non-consistent ROM, in order to underline the different choices made at the two levels. Particular attention is also devoted to the role of inf-sup stabilization by means of supremizers in ROMs based on a VMS formulation. Finally, the developed methods are tested on a numerical benchmark. © 2019, Springer Science+Business Media, LLC, part of Springer Nature
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes
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Expression study of molecular markers involved in staminality and differentiation in the colonial ascidians Botryllus schlosseri
Ascidians are invertebrate chordates, members of the subphylum Tunicata that represents the sister group of vertebrates. They offer the opportunity to investigate and compare the behaviour of both embryonic and adult stem cells. Morphological data suggest the presence of undifferentiated haemocytes (haemoblasts) able to proliferate and give rise to terminally differentiated cells. Relevant studies were also carried out in the neural lineage, in which neural progenitor cells regenerate the brain after extirpation. In B. schlosseri, during the cyclical generation change, bud primordial cells, probably deriving from a pool of long-living stem cells, are able to give rise to the neural complex. We screened the B. schlosseri genome and transcriptome, looking for transcripts/genes showing similarity to vertebrate molecular markers of haematopoietic and neural stem cells. Four sequences, orthologous to mammalian transcripts considered markers of haematopoietic progenitor cells, were identified in B. schlosseri. They are: bsabcg2, bscd133, bsgata1/2/3 and bsgata4/5/6. In situ hybridization on haemocyte monolayers and colony sections, resulted in labelling of cells in the sub-endostylar haemolymph lacunae. This results matches previously morphological data that identified the endostyle as a stem cell niche. Quantitative real time PCR (qRT-PCR) highlighted the over-expression of the considered genes in the mid-cycle phase of the blastogenetic cycle. During this phase, there is the formation of new secondary buds emerging from the primary buds. The high expression levels of bsabcg2, bscd133, bsgata1/2/3 and bsgata4/5/6 genes in the mid-cycle phase reflect the presence of undifferentiated cells involved in proliferative and differentiation events required for giving rise to the new blastogenetic generation. For the neural lineage, we identified and characterised two transcripts orthologues of vertebrate neural stem cell markers (BsSox2 and BsMsi2). We also studied the expression, during the blastogenetic cycle, of a panel of genes already known to be involved in ascidian larvae neurogenesis, i.e., orthologues of Pax2/5/8, Hox1 and Hox3. ISH with riboprobes for BsSox2, BsMsi2, BsPax2/5/8, BsHox1 and BsHox3 revealed a common labelling in the endostyle niche. The presence of bssox2, bsmsi2, bspax2/5/8, bshox1 and bshox3 transcripts in the cells of the region known to be a stem cell niche, led us to conclude, not only that our probes identified undifferentiated cells but even that in B. schlosseri are probably present a single population of pluripotent stem cells that could differentiate into haematopoietic or neural cells. The qRT-PCR, showed an high expression level in the mid-cycle phase of all the putative neural markers considered. In this phase new secondary buds are produced from primary buds. Each new bud needs its own neural complex and this requires the proliferation of undifferentiated cells to originate neural gland rudiment and cerebral ganglion. Bssox2, bsmsi2, bspax2/5/8, bshox1 and bshox3 increased their expression associated with these neurogenesis events and this support their involvement in neural stem cell differentiation
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: Overview and perspectives
Several problems in applied sciences and engineering require reduction techniques in order to allow computational tools to be employed in the daily practice, especially in iterative procedures such as optimization or sensitivity analysis. Reduced order methods need to face increasingly complex problems in computational mechanics, especially into a multiphysics setting. Several issues should be faced: stability of the approximation, efficient treatment of nonlinearities, uniqueness or possible bifurcations of the state solutions, proper coupling between fields, as well as offline-online computing, computational savings and certification of errors as measure of accuracy. Moreover, efficient geometrical parametrization techniques should be devised to efficiently face shape optimization problems, as well as shape reconstruction and shape assimilation problems. A related aspect deals with the management of parametrized interfaces in multiphysics problems, such as fluid-structure interaction problems, and also a domain decomposition based approach for complex parametrized networks. We present some illustrative industrial and biomedical problems as examples of recent advances on methodological developments
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences
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