Anatase TiO2 tree-like nanoarrays were prepared on various metal wires (Ti, W, Ni, etc.) through one-step facile hydrothermal reaction. The anatase TiO2 tree-like nanoarrays consist of long TiO2 nanowire trunks with d...
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Anatase TiO2 tree-like nanoarrays were prepared on various metal wires (Ti, W, Ni, etc.) through one-step facile hydrothermal reaction. The anatase TiO2 tree-like nanoarrays consist of long TiO2 nanowire trunks with direct charge transport channels, and a large number of short TiO2 nanorod branches with large surface areas. Fiber dye-sensitized solar cells (FDSSCs) based on the anatase TiO2 tree-like nanoarrays deposited on Ti wires can achieve outstanding power conversion efficiency (PCE) of 6.32%, while FDSSCs on W wires have lower PCE of 3.24% due to the formation of WO3 layer, which might enhance recombination of charges. When the substrate is changed to a Nicole oxide wire, a novel p-n heterojunction can be obtained. This universal method is simple, facile, and low cost for preparing anatase TiO2 treelike-nanoarrays on various metal wires, which may find potential applications in fabrication of optoelectronic devices.
Motivation: Systems biology demands the use of several point of views to get a more comprehensive understanding of biological problems. This usually leads to take into account different data regarding the problem at h...
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Motivation: Systems biology demands the use of several point of views to get a more comprehensive understanding of biological problems. This usually leads to take into account different data regarding the problem at hand, but it also has to do with using different perspectives of the same data. This multifaceted aspect of systems biology often requires the use of several tools, and it is often hard to get a seamless integration of all of them, which would help the analyst to have an interactive discourse with the data. Results: Focusing on expression profiling, BicOverlapper 2.0 visualizes the most relevant aspects of the analysis, including expression data, profiling analysis results and functional annotation. It also integrates several state-of-the-art numerical methods, such as differential expression analysis, gene set enrichment or biclustering.
Collecting data from large studies on high-throughput platforms, such as microarray or next-generation sequencing, typically requires processing samples in batches. There are often systematic but unpredictable biases ...
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Collecting data from large studies on high-throughput platforms, such as microarray or next-generation sequencing, typically requires processing samples in batches. There are often systematic but unpredictable biases from batch-to-batch, so proper randomization of biologically relevant traits across batches is crucial for distinguishing true biological differences from experimental artifacts. When a large number of traits are biologically relevant, as is common for clinical studies of patients with varying sex, age, genotype and medical background, proper randomization can be extremely difficult to prepare by hand, especially because traits may affect biological inferences, such as differential expression, in a combinatorial manner. Here we present ARTS (automated randomization of multiple traits for study design), which aids researchers in study design by automatically optimizing batch assignment for any number of samples, any number of traits and any batch size.
Developments in the field of molecular biology and genetics, such as microarray, gene transfer and discovery of small regulatory RNAs, have led to significant advances in plant biotechnology. Among the small RNAs, mic...
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Developments in the field of molecular biology and genetics, such as microarray, gene transfer and discovery of small regulatory RNAs, have led to significant advances in plant biotechnology. Among the small RNAs, microRNAs (miRNAs) have elicited much interest as key post-transcriptional regulators in eukaryotic gene expression. Advances in genome and transcriptome sequencing of plants have facilitated the generation of a huge wealth of sequence information that can find much use in the discovery of novel miRNAs and their target genes. In this review, we present an overview of the developments in the strategies and methods used to identify and study miRNAs, their target genes and the mechanisms by which these miRNAs interact with their target genes since the discovery of the first miRNA. The approaches discussed include both reverse and forward genetics. We observed that despite the availability of advanced methods, certain limitations ranging from the cost of materials, equipment and personnel to the availability of genome sequences for many plant species present a number of challenges for the development and utilization of modern scientific methods for the elucidation and development of miRNAs in many important plant species.
The article presents a case study of a 75-year-old man who was diagnosed with T-lymphoblastic leukemia. It states that the use of giemsa banding-based karyotype analysis of a bone marrow sample found a 7q deletion and...
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The article presents a case study of a 75-year-old man who was diagnosed with T-lymphoblastic leukemia. It states that the use of giemsa banding-based karyotype analysis of a bone marrow sample found a 7q deletion and submicroscopic deletions in 4q including the genes TET2, CENPE, and NFKB1. It mentions that the TET2 gene is believed to be a tumor suppressor gene while the 7q deletion was an interstitial deletion. It comments on the benefits of combining microarray analysis with karyotyping.
The Mediterranean diet is associated with a lower incidence of atherosclerosis, cardiovascular diseases, and some types of cancer. Recent interest has been focused on the biological activity of phenolic compounds pres...
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The Mediterranean diet is associated with a lower incidence of atherosclerosis, cardiovascular diseases, and some types of cancer. Recent interest has been focused on the biological activity of phenolic compounds present in extra virgin olive oils (EVOOs). Both in vivo and in vitro studies have shown that EVOO components have positive effects on metabolic parameters, such as plasma lipoproteins, oxidative damage, inflammatory markers, platelet function, and antimicrobial activity. We have investigated the possible interactions between 2 extracts of extra virgin olive oil and estrogen receptor beta (ER beta) in an in vitro model of colon cancer. The qualification and quantification of the components of the 2 samples tested showed that phenolic compounds-hydroxytyrosol, secoiridoids, and lignans-are the major represented compounds. EVOO extracts were tested on a colon cancer cell line engineered to overexpress ER beta (HCT8-beta 8). By using custom made Oligo microarray, gene expression profiles of colon cancer cells challenged with EVOO-T extracts when compared with those of cells exposed to 17 beta-estradiol (17 beta-E2). This study demonstrated that the EVOO extracts tested showed an antiproliferative effect on colon cancer cells through the interaction with estrogen-dependent signals involved in tumor cell growth. Specifically, the ability of EVOO extracts to inhibit cell proliferation was superimposable to the activation of the ER beta receptor, similar to what was observed after 17 beta-E2 challenge.
The article provides an analysis of several research works done to identify molecular basis for pigment pattern formation in animals. Topics discussed include use of reaction-diffusion system, use of microarray analys...
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The article provides an analysis of several research works done to identify molecular basis for pigment pattern formation in animals. Topics discussed include use of reaction-diffusion system, use of microarray analysis to reveal mediators between xanthophores and melanophores and tests to reveal melanophore survival related to Delta?Notch signal. It mentions the role played by xanthophores in promoting melanophore survival.
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