The ERK signaling pathway plays a central role in the control of various cellular processes such as proliferation, survival, differentiation and development, but apoptosis and stress response as well. Compartmentalization and dynamic localization of ERK signaling is an important regulatory mechanism of specific biological processes. Consistent with its critical role in key cellular functions, deviation in the normal activities of this pathway has been implicated in the development of many human diseases involving different organs. In particular, mutations hitting the ERK signaling are involved in autosomal-dominant syndromes known as RASopathies. The major complications of these disorders are congenital cardiac defects and development of hypertrophic cardiomyopathy. Furthermore, in the neuronal system ERK has been correlated to different pathological contexts, including stroke, autism and neurodegenerative diseases such as Multiple Sclerosis, Alzheimer's disease, Parkinson's disease and Amyotrophic Lateral Sclerosis. In the nervous system ERK pathway regulates various cellular activities including neuron apoptosis through induction of excitotoxicity, neuroinflammation and innate immunity. In addition, ERK has been deeply investigated as anti-cancer target molecule for its important role in tumorigenesis in particular in cancer cell proliferation, migration and invasion. Finally, ERK has been also associated to the development of side effects derived from anti-cancer therapies, such as cardiotoxicity due to chemotherapeutic treatments. Overall, these data suggest that a major comprehension of the pathological mechanisms regulated by the ERK pathway will allow the development of new functional therapies for a great range of diseases with a strong impact on public health.
In this Special Issue of the International Journal of Molecular Sciences the focus will be on the role of the ERK signaling pathway in various pathologies, such as cancer, developmental disorders and diseases affecting the cardiovascular and nervous system.
Professor Tiziana Crepaldi
Special Issue Submission Deadline: Early 2019.
IJMS (International Journal of Molecular Sciences)Impact Factor 3.226 (2016 Journal Citation Reports®)Homepage: http://www.mdpi.com/journal/ijmsLindedIn: http://www.linkedin.com/in/ijmsjournalIJMS channel on Twitter (@IJMS_MDPI)
Following a request for Special Issue topics for the novel AI Journal (https://www.mdpi.com/journal/ai), three ideas emerged and are herein offered to the community for discussion.
The first of those is deemed to capture AI applications to Structural Engineering.
Possible contributions span AI assisted conceptual design of structures until monitoring along structural life. Those include, but are not limited to, AI applications on design methods, safety checking, resistance prediction, data-driven design, design optimization, form finding, developing Structural Health Monitoring towards predictive maintenance in structural systems and assessment of structures and project reviewing.
Focus has been set on Artificial Intelligence applications to classical engineering fields, some of those regarded as latecomers in AI mass applications, but all with an immense potential for development and widespread uses.
This request aims to foster discussion on this topic, as well as finding valuable researchers and practitioners willing to contribute to the possible Special Issue.
Thank you for your interest.
The second of those is deemed to capture AI applications to Civil Engineering and the Construction Industry.
Possible contributions include, but are not limited to, AI applications on manufacture control, real-time work assessment and re-scheduling, optimization, economic aspects of construction, using Building Information Models for data analysis, buildings energy and environment management and predictive maintenance in buildings.
The third of those is deemed to capture AI applications to the Oil and Gas Industry. Going through a Digital Transformation impetus, O&G industry use of AI goes far beyond the classical oil barrel price forecasting.
Exciting new applications of Data Analytics, Machine Learning, Predictive Maintenance or Blockchain are fuelling changes, not only in digital oilfields but also in industry’s whole business models.
This request aims to foster discussion on this topic, as well as finding valuable researchers and practitioners willing to contribute (including with price forecasting works) to the possible Special Issue.
Mutualistic symbiosis is a widespread phenomenon in nature in which the partner species benefit mutually. Symbioses between microorganisms, usually bacteria and eukaryotic hosts, have been extensively studied in recent years, taking advantage of the advances in computational and omic technologies (genomics, transcriptomics and proteomics), and systems biology (modelling metabolic networks and host-symbiont interactions). In the evolutionary history of symbiosis, there are cases where the eukaryotic host harbours one or few intracellular symbionts (endosymbionts), others where the host lives with a multitude of species located in the intestine or in other organs (ectosymbionts) and, finally, although not as frequent, the case of hosts that harbour both endo- and ectosimbionts.
The objective of the present Special Issue of Life is to bring together original research and reviews on the evolution of microbial mutualistic symbioses, in which two or more prokaryote species and a eukaryotic host are integrated at the behavioral, metabolic and genetic level. The broad scope of this Special Issue encompasses studies focused on every perspective on mutualistic symbiosis, including:
Prof. Dr. Amparo LatorreDr. Rosario Gil Guest Editors
Human transformation of landscapes is pervasive and accelerating across the Earth. Increasingly, rapid urbanization and a rising per capita resource use are driving agricultural intensification, large-scale land acquisitions, and global supply chain demands that are reshaping the ecology of landscapes across the Earth’s land surface. As a result, it is possible that the greatest impacts of urban societies are occurring outside of cities, as profound alterations of Earth’s topography, climate, ecosystems, soil physical and chemical properties, and associated Earth-surface processes. Remote sensing data can greatly assist in the monitoring of anthropogenic landscapes, and analyzing any effects of human activities on Earth-surface processes.
The purpose of this Special Issue is to present the state of science on the use of remote sensing for the analysis of human impacts on Earth. Multi-temporal remote sensing analysis, and specific case studies of different regions of the world, are welcomed.
Publication: as paper accepted they will appear in the special issue web-page.
Type of special issue: Open for all submissions within the scope of the special issue. In addition to scientific papers, we encourage 1 paper review and 2 short commentaries.
See details at, http://www.mdpi.com/journal/remotesensing/special_issues/Anthropocene
Dr. Paolo TarolliDr. Jinwei DongDr. Erle C. EllisGuest Editors
Dear Colleagues,Once considered “metabolic garbage”, ketones have become the focus of significant efforts within the realm of cardiometabolic research. Recent discoveries have revealed that ketones, such as acetoacetate and its precursor β-hydroxybutyrate (β-HB), are not only viable fuel sources for all cells with mitochondria, including the brain, but are also legitimate signaling molecules, eliciting advantageous changes in inflammation, cognition, oxidative stress, and more. Beyond pathology, ketones may also be a relevant metabolic fuel in the context of physical activity, insofar as ketone-adapted athletes appear to outperform conventional glucose-adapted athletes. Whether through diets sufficiently low in carbohydrate consumption to induce hepatic ketogenesis or the consumption of exogenous ketones, limited evidence suggests a generally favorable metabolic milieu.We invite authors to contribute original research articles, as well as review articles that will illustrate and stimulate the blossoming effort to understand the role of ketones in diverse metabolic models and conditions. The accepted papers will highlight to readers the metabolic relevance of ketones and, thus, potentially provide a new paradigm on the role of ketones in altering cellular function.Special Issue Submission Deadline: 31 December 2018Dr. Benjamin T. BikmanDr. Paul R. ReynoldsDr. Daniel A. KaneDr. Katsu FunaiGuest EditorsIJMS (International Journal of Molecular Sciences)Impact Factor 3.226 (2016 Journal Citation Reports®)Homepage: http://www.mdpi.com/journal/ijmsLindedIn: http://www.linkedin.com/in/ijmsjournalIJMS channel on Twitter (@IJMS_MDPI)