scholarly journals The Nuclear Receptor Field: A Historical Overview and Future Challenges

2018 ◽  
Vol 5 ◽  
Author(s):  
Gisela I. Mazaira ◽  
Nadia R. Zgajnar ◽  
Cecilia M. Lotufo ◽  
Cristina Daneri-Becerra ◽  
Jeffrey C. Sivils ◽  
...  
Keyword(s):  
Nuclear Receptor ◽  
Historical Overview ◽  
Receptor Field ◽  
Future Challenges

A Historical Perspective of Robotics Toward the Future

2001 ◽  
Vol 13 (3) ◽  
pp. 299-313 ◽  
Author(s):  
Marco Ceccarelli ◽  
Keyword(s):  
Historical Perspective ◽  
Historical Background ◽  
Historical Overview ◽  
Design Data ◽  
The Future ◽  
Future Challenges ◽  
History Of

In this paper a historical overview is presented dealing with the conception and development of devices that can be considered as robots today with the aim to identify the future challenges for roboticists. The historical background can be used as guidance for future successful developments when design data and requirements are recognized from historical well-established needs, problems and applications, which can be re-formulated through modern means for modern solutions. Thus, in the paper an overview of history of robotics is presented as based on main aspects and concepts.

scholarly journals Genome-wide approaches for identification of nuclear receptor target genes

2006 ◽  
Vol 4 (1) ◽  
pp. nrs.04018 ◽  
Author(s):  
Luz E. Tavera-Mendoza ◽  
Sylvie Mader ◽  
John H. White
Keyword(s):  
Nuclear Receptor ◽  
High Throughput ◽  
Large Scale ◽  
Target Genes ◽  
Receptor Signaling ◽  
Receptor Field ◽  
Hormone Response Element ◽  
Genome Wide ◽  
Gene Switches ◽  
On Chip

Large-scale genomics analyses have grown by leaps and bounds with the rapid advances in high throughput DNA sequencing and synthesis techniques. Nuclear receptor signaling is ideally suited to genomics studies because receptors function as ligand-regulated gene switches. This review will survey the strengths and limitations of three major classes of high throughput techniques widely used in the nuclear receptor field to characterize ligand-dependent gene regulation: expression profiling studies (microarrays, SAGE and related techniques), chromatin immunoprecipitation followed by microarray (ChIP-on-chip), and genome-wide in silico hormone response element screens. We will discuss each technique, and how each has contributed to our understanding of nuclear receptor signaling.

Campos Basin: Reservoir Characterization and Management - Historical Overview and Future Challenges

2003 ◽  
Author(s):  
Carlos H.L. Bruhn ◽  
José Adilson T. Gomes ◽  
Cesar Del Lucchese ◽  
Paulo R.S. Johann
Keyword(s):  
Reservoir Characterization ◽  
Historical Overview ◽  
Campos Basin ◽  
Future Challenges

ACE2 as therapeutic agent

2020 ◽  
Vol 134 (19) ◽  
pp. 2581-2595
Author(s):  
Qiuhong Li ◽  
Maria B. Grant ◽  
Elaine M. Richards ◽  
Mohan K. Raizada
Keyword(s):  
Therapeutic Agent ◽  
Renin Angiotensin System ◽  
Peptide Hormone ◽  
Experimental Models ◽  
Electrolyte Balance ◽  
Ang Ii ◽  
Angiotensin Converting Enzyme 2 ◽  
Beneficial Effects ◽  
Overwhelming Evidence ◽  
Future Challenges

Abstract The angiotensin-converting enzyme 2 (ACE2) has emerged as a critical regulator of the renin–angiotensin system (RAS), which plays important roles in cardiovascular homeostasis by regulating vascular tone, fluid and electrolyte balance. ACE2 functions as a carboxymonopeptidase hydrolyzing the cleavage of a single C-terminal residue from Angiotensin-II (Ang-II), the key peptide hormone of RAS, to form Angiotensin-(1-7) (Ang-(1-7)), which binds to the G-protein–coupled Mas receptor and activates signaling pathways that counteract the pathways activated by Ang-II. ACE2 is expressed in a variety of tissues and overwhelming evidence substantiates the beneficial effects of enhancing ACE2/Ang-(1-7)/Mas axis under many pathological conditions in these tissues in experimental models. This review will provide a succinct overview on current strategies to enhance ACE2 as therapeutic agent, and discuss limitations and future challenges. ACE2 also has other functions, such as acting as a co-factor for amino acid transport and being exploited by the severe acute respiratory syndrome coronaviruses (SARS-CoVs) as cellular entry receptor, the implications of these functions in development of ACE2-based therapeutics will also be discussed.

Articles Published in EJPA 2009–2010

2011 ◽  
Vol 27 (4) ◽  
pp. 290-298 ◽  
Author(s):  
Tuulia M. Ortner ◽  
Isabella Vormittag
Keyword(s):  
Psychological Assessment ◽  
Rating Scales ◽  
Self Report ◽  
Related Field ◽  
Broad Scope ◽  
Future Challenges ◽  
Health Related ◽  
Report Data ◽  
Self Report Data

With reference to EJPA’s unique and broad scope, the current study analyzed the characteristics of the authors as well as the topics and research aims of the 69 empirical articles published in the years 2009–2010. Results revealed that more than one third of the articles were written by authors affiliated with more than one country. With reference to their research aims, an almost comparable number of articles (1) presented a new measure, (2) dealt with adaptations of measures, or (3) dealt with further research on existing measures. Analyses also revealed that most articles did not address any particular field of application. The second largest group was comprised of articles related to the clinical field, followed by the health-related field of application. The majority of all articles put their focus on investigating questionnaires or rating scales, and only a small number of articles investigated procedures classified as tests or properties of interviews. As to further characteristics of the method(s) used, a majority of EJPA contributions addressed self-report data. Results are discussed with reference to publication demands as well as the current and future challenges and demands of psychological assessment.

Facet Theory

1998 ◽  
Vol 3 (1) ◽  
pp. 13-36 ◽  
Author(s):  
Ruth Guttman ◽  
Charles W. Greenbaum
Keyword(s):  
Data Analysis ◽  
Animal Behavior ◽  
Infant Development ◽  
Facet Theory ◽  
Structural Relationships ◽  
Future Challenges ◽  
Spatial Configurations ◽  
Multidimensional Methods ◽  
Definition Of ◽  
Scalogram Analysis

This article gives an overview of Facet Theory, a systematic approach to facilitating theory construction, research design, and data analysis for complex studies, that is particularly appropriate to the behavioral and social sciences. Facet Theory is based on (1) a definitional framework for a universe of observations in the area of study; (2) empirical structures of observations within this framework; (3) a search for correspondence between the definitional system and aspects of the empirical structure for the observations. The development of Facet Theory and Facet Design is reviewed from early scale analysis and the Guttman Scale, leading to the concepts of “mapping sentence,” “universe of content,” “common range,” “content facets,” and nonmetric multidimensional methods of data analysis. In Facet Theory, the definition of the behavioral domain provides a rationale for hypothesizing structural relationships among variables employed in a study. Examples are presented from various areas of research (intelligence, infant development, animal behavior, etc.) to illustrate the methods and results of structural analysis with Smallest Space Analysis (SSA), Multidimensional Scalogram Analysis (MSA), and Partial Order Scalogram Analysis (POSA). The “radex” and “cylindrex” of intelligence tests are shown to be outstanding examples of predicted spatial configurations that have demonstrated the ubiquitous emergence of the same empirical structures in different studies. Further examples are given from studies of spatial abilities, infant development, animal behavior, and others. The use of Facet Theory, with careful construction of theory and design, is shown to provide new insights into existing data; it allows for the diagnosis and discrimination of behavioral traits and makes the generalizability and replication of findings possible, which in turn makes possible the discovery of lawfulness. Achievements, issues, and future challenges of Facet Theory are discussed.

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