A Z-DNA binding domain present in the human editing enzyme, double-stranded RNA adenosine deaminase

Editing of RNA changes the read-out of information from DNA by altering the nucleotide sequence of a transcript. One type of RNA editing found in all metazoans uses double-stranded RNA (dsRNA) as a substrate and results in the deamination of adenosine to give inosine, which is translated as guanosine. Editing thus allows variant proteins to be produced from a single pre-mRNA. A mechanism by which dsRNA substrates form is through pairing of intronic and exonic sequences before the removal of noncoding sequences by splicing. Here we report that the RNA editing enzyme, human dsRNA adenosine deaminase (DRADA1, or ADAR1) contains a domain (Zα) that binds specifically to the left-handed Z-DNA conformation with high affinity (KD = 4 nM). As formation of Z-DNA in vivo occurs 5′ to, or behind, a moving RNA polymerase during transcription, recognition of Z-DNA by DRADA1 provides a plausible mechanism by which DRADA1 can be targeted to a nascent RNA so that editing occurs before splicing. Analysis of sequences related to Zα has allowed identification of motifs common to this class of nucleic acid binding domain.

p53 expression is required for thymocyte apoptosis induced by adenosine deaminase deficiency.

Adenosine deaminase (ADA, EC 3.5.4.4) is a ubiquitous enzyme in the purine catabolic pathway. In contrast to the widespread tissue distribution of this enzyme, inherited ADA deficiency in human results in a tissue-specific severe combined immunodeficiency. To explain the molecular basis for this remarkable tissue specificity, we have used a genetic approach to study ADA deficiency. We demonstrate that ADA deficiency causes depletion of CD8low transitional and CD4+CD8+ double-positive thymocytes by an apoptotic mechanism. This effect is mediated by a p53-dependent pathway, since p53-deficient mice are resistant to the apoptosis induced by ADA deficiency. DNA damage, known to be caused by the abnormal accumulation of dATP in ADA deficiency, is therefore responsible for the ablation of T-cell development and for the immunodeficiency. The two thymocyte subsets most susceptible to apoptosis induced by ADA deficiency are also the two thymocyte subsets with the lowest levels of bcl-2 expression. We show that thymocytes from transgenic mice that overexpress bcl-2 in the thymus are rescued from apoptosis induced by ADA deficiency. Thus, the tissue specificity of the pathological effects of ADA deficiency is due to the low bcl-2 expression in CD8low transitional and CD4+CD8+ double-positive thymocytes.

Chicken double-stranded RNA adenosine deaminase has apparent specificity for Z-DNA.

A M(r) 140,000 protein has been purified from chicken lungs to apparent homogeneity. The protein binds with high affinity to a non-BNA conformation, which is most likely to the Z-DNA. The protein also has a binding site for double-stranded RNA (dsRNA). Peptide sequences from this protein show similarity to dsRNA adenosine deaminase, an enzyme that deaminates adenosine in dsRNA to form inosine. Assays for this enzyme confirm that dsRNA adenosine deaminase activity and Z-DNA binding are properties of the same molecule. The coupling of these two activities in a single molecule may indicate a distinctive mechanism of gene regulation that is, in part, dependent on DNA topology. As such, DNA topology, through its effects on the efficiency and extent of RNA editing may be important in the generation of new phenotypes during evolution.

Effects of retroviral vector design on expression of human adenosine deaminase in murine bone marrow transplant recipients engrafted with genetically modified cells.

To determine which features of retroviral vector design most critically affect gene expression in hematopoietic cells in vivo, we have constructed a variety of different retroviral vectors which encode the same gene product, human adenosine deaminase (EC 3.5.4.4), and possess the same vector backbone yet differ specifically in transcriptional control sequences suggested by others to be important for gene expression in vivo. Murine bone marrow cells were transduced by each of the recombinant viruses and subsequently used to reconstitute the hematopoietic system of lethally irradiated recipients. Five to seven months after transplantation, analysis of the peripheral blood of animals transplanted with cells transduced by vectors which employ viral long terminal repeats (LTRs) for gene expression indicated that in 83% (77/93) of these animals, the level of human enzyme was equal to or greater than the level of endogenous murine enzyme. Even in bone marrow transplant recipients reconstituted for over 1 year, significant levels of gene expression were observed for each of the vectors in their bone marrow, spleen, macrophages, and B and T lymphocytes. However, derivatives of the parental MFG-ADA vector which possess either a single base mutation (termed B2 mutation) or myeloproliferative sarcoma virus LTRs rather than the Moloney murine leukemia virus LTRs led to significantly improved gene expression in all lineages. These studies indicate that retroviral vectors which employ viral LTRs for the expression of inserted sequences make it possible to obtain high levels of a desired gene product in most hematopoietic cell lineages for close to the lifetime of bone marrow transplant recipients.

Disruption of the adenosine deaminase gene causes hepatocellular impairment and perinatal lethality in mice.

We have generated mice with a null mutation at the Ada locus, which encodes the purine catabolic enzyme adenosine deaminase (ADA, EC 3.5.4.4). ADA-deficient fetuses exhibited hepatocellular impairment and died perinatally. Their lymphoid tissues were not largely affected. Accumulation of ADA substrates was detectable in ADA-deficient conceptuses as early as 12.5 days postcoitum, dramatically increasing during late in utero development, and is the likely cause of liver damage and fetal death. The results presented here demonstrate that ADA is important for the homeostatic maintenance of purines in mice.

Micronutrients and the Sahel: The Need for International Food Aid Reform

The 2012 Food Assistance Convention (FAsC) will replace the 1999 Food Aid Convention (FAC), shortly becoming the new document governing international food aid. This new convention will allow for culturally- and nutritionally-appropriate food purchases, but it lacks sufficient guidance and enforcement mechanisms to ensure the inclusion of micronutrients in food assistance. In conjunction with other United Nations-based programs, reforms focused on cooperation, measurement, and education in micronutrient interventions are recommended for the FAsC framework. These reforms stand to benefit the persistently hungry and micronutrient deficient Sahel region of Africa.

Geometrical study of the three-dimensional temperature–composition diagrams. An important aid to understand the behavior of the liquid–vapour equilibrium in ternary systems

In this work the usefulness of qualitatively studying and drawing three-dimensional temperature–composition diagrams for ternary systems is pointed out to understand and interpret the particular behavior of the liquid–vapour equilibrium of non-ideal ternary systems. Several examples have been used in order to highlight the interest and the possibilities of this tool, which should be an interesting support not only for lecturers, but also for researchers interested in experimental equilibrium data determination.

The aid of machine learning to overcome the classification of real health discharge reports written in Spanish

Hospitals attached to the Spanish Ministry of Health are currently using the International Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge records. Nowadays, this work is manually done by experts. This paper tackles the automatic classification of real Discharge Records in Spanish following the ICD9-CM standard. The challenge is that the Discharge Records are written in spontaneous language. We explore several machine learning techniques to deal with the classification problem. Random Forest resulted in the most competitive one, achieving an F-measure of 0.876.

Aid decision algorithms to estimate the risk in congenital heart surgery

Background and objective: In this paper, we have tested the suitability of using different artificial intelligence-based algorithms for decision support when classifying the risk of congenital heart surgery. In this sense, classification of those surgical risks provides enormous benefits as the a priori estimation of surgical outcomes depending on either the type of disease or the type of repair, and other elements that influence the final result. This preventive estimation may help to avoid future complications, or even death. Methods: We have evaluated four machine learning algorithms to achieve our objective: multilayer perceptron, self-organizing map, radial basis function networks and decision trees. The architectures implemented have the aim of classifying among three types of surgical risk: low complexity, medium complexity and high complexity. Results: Accuracy outcomes achieved range between 80% and 99%, being the multilayer perceptron method the one that offered a higher hit ratio. Conclusions: According to the results, it is feasible to develop a clinical decision support system using the evaluated algorithms. Such system would help cardiology specialists, paediatricians and surgeons to forecast the level of risk related to a congenital heart disease surgery.

The Virtual Interactive Relationship Between BIM Project Teams: Effective Communication to aid Collaboration in the Design Process

Building Information Modelling (BIM) provides a shared source of information about a built asset, which creates a collaborative virtual environment for project teams. Literature suggests that to collaborate efficiently, the relationship between the project team is based on sympathy, obligation, trust and rapport. Communication increases in importance when working collaboratively but effective communication can only be achieved when the stakeholders are willing to act, react, listen and share information. Case study research and interviews with Architecture, Engineering and Construction (AEC) industry experts suggest that synchronous face-to-face communication is project teams’ preferred method, allowing teams to socialise and build rapport, accelerating the creation of trust between the stakeholders. However, virtual unified communication platforms are a close second-preferred option for communication between the teams. Effective methods for virtual communication in professional practice, such as virtual collaboration environments (CVE), that build trust and achieve similar spontaneous responses as face-to-face communication, are necessary to face the global challenges and can be achieved with the right people, processes and technology. This research paper investigates current industry methods for virtual communication within BIM projects and explores the suitability of avatar interaction in a collaborative virtual environment as an alternative to face-to-face communication to enhance collaboration between design teams’ professional practice on a project. Hence, this paper presents comparisons between the effectiveness of these communication methods within construction design teams with results of further experiments conducted to test recommendations for more efficient methods for virtual communication to add value in the workplace between design teams.

The Harvard collection of Ismaili literature in Indic languages: a descriptive catalog and finding aid

Ali S. Asani.