Genome-wide approaches for cancer gene discovery

One of the central aims of cancer research is to identify and characterize cancer-causing alterations in cancer genomes. In recent years, unprecedented advances in genome-wide sequencing, functional genomics technologies for RNA interference screens and methods for evaluating three-dimensional chromatin organization in vivo have resulted in important discoveries regarding human cancer. The cancer-causing genes identified from these new genome-wide technologies have also provided opportunities for effective and personalized cancer therapy. In this review, we describe some of the most recent technologies for cancer gene discovery. We also provide specific examples in which these technologies have proven remarkably successful in uncovering important cancer-causing alterations.     

New tools and new biology: Recent miniaturized systems for molecular and cellular biology

Recent advances in applied physics and chemistry have led to the development of novel microfluidic systems. Microfluidic systems allow minute amounts of reagents to be processed using μm-scale channels and offer several advantages over conventional analytical devices for use in biological sciences: faster, more accurate and more reproducible analytical performance, reduced cell and reagent consumption, portability, and integration of functional components in a single chip. In this review, we introduce how microfluidics has been applied to biological sciences. We first present an overview of the fabrication of microfluidic systems and describe the distinct technologies available for biological research. We then present examples of microsystems used in biological sciences, focusing on applications in molecular and cellular biology.     

Recent advances in i-Gene tools and analysis: microarrays, next generation sequencing and mass spectrometry

Recent advances in technology and associated methodology have made the current period one of the most exciting in molecular biology and medicine. Underlying these is an appreciation that modern research is driven by increasing large amounts of data being interpreted by interdisciplinary collaborative teams which are often geographically dispersed. The availability of cheap computing power, high speed informatics networks and high quality analysis software has been essential to this as has the application of modern quality assurance methodologies. In this review, we discuss the application of modern 'High-Throughput' molecular biological technologies such as 'Microarrays' and 'Next Generation Sequencing' to scientific and biomedical research as we have observed. Furthermore in this review, we also offer some guidance that enables the reader as to understand certain features of these as well as new strategies and help them to apply these i-Gene tools in their endeavours successfully. Collectively, we term this 'i-Gene Analysis'. We also offer predictions as to the developments that are anticipated in the near and more distant future.     

Advanced fluorescence technologies help to resolve long-standing questions about microbial vitality

Advances in fundamental physical and optical principles applied to novel fluorescence methods are currently resulting in rapid progress in cell biology and physiology. Instrumentation devised in pioneering laboratories is becoming commercially available, and study findings are now becoming accessible. The first results have concerned mainly higher eukaryotic cells but many more developments can be expected, especially in microbiology. Until now, some important problems of cell physiology have been difficult to investigate due to interactions between probes and cells, excretion of probes from cells and the inability to make in situ observations deep within the cell, within tissues and structures. These technologies will enable microbiologists to address these topics. This Review aims at introducing the limits of current physiology evaluation techniques, the principles of new fluorescence technologies and examples of their use in this field of research for evaluating the physiological state of cells in model media, biofilms or tissue environments. Perspectives on new imaging technologies, such as super-resolution imaging and non-linear highly sensitive Raman microscopy, are also discussed. This review also serves as a reference to those wishing to explore how fluorescence technologies can be used to understand basic cell physiology in microbial systems.     

T cell adhesion mechanisms revealed by receptor lateral mobility

Cell surface receptors mediate the exchange of information between cells and their environment. In the case of adhesion receptors, the spatial distribution and molecular associations of the receptors are critical to their function. Therefore, understanding the mechanisms regulating the distribution and binding associations of these molecules is necessary to understand their functional regulation. Experiments characterizing the lateral mobility of adhesion receptors have revealed a set of common mechanisms that control receptor function and thus cellular behavior. The T cell provides one of the most dynamic examples of cellular adhesion. An individual T cell makes innumerable intercellular contacts with antigen presenting cells, the vascular endothelium, and many other cell types. We review here the mechanisms that regulate T cell adhesion receptor lateral mobility as a window into the molecular regulation of these systems, and we present a general framework for understanding the principles and mechanisms that are likely to be common among these and other cellular adhesion systems. We suggest that receptor lateral mobility is regulated via four major mechanisms-reorganization, recruitment, dispersion, and anchoring-and we review specific examples of T cell adhesion receptor systems that utilize one or more of these mechanisms.     

Advanced strategies in liposomal cancer therapy: problems and prospects of active and tumor specific drug release

Tumor specific drug delivery has become increasingly interesting in cancer therapy, as the use of chemotherapeutics is often limited due to severe side effects. Conventional drug delivery systems have shown low efficiency and a continuous search for more advanced drug delivery principles is therefore of great importance. In the first part of this review, we present current strategies in the drug delivery field, focusing on site-specific triggered drug release from liposomes in cancerous tissue. Currently marketed drug delivery systems lack the ability to actively release the carried drug and rely on passive diffusion or slow non-specific degradation of the liposomal carrier. To obtain elevated tumor-to-normal tissue drug ratios, it is important to develop drug delivery strategies where the liposomal carriers are actively degraded specifically in the tumor tissue. Many promising strategies have emerged ranging from externally triggered light- and thermosensitive liposomes to receptor targeted, pH- and enzymatically triggered liposomes relying on an endogenous trigger mechanism in the cancerous tissue. However, even though several of these strategies were introduced three decades ago, none of them have yet led to marketed drugs and are still far from achieving this goal. The most advanced and prospective technologies are probably the prodrug strategies where non-toxic drugs are carried and activated specifically in the malignant tissue by overexpressed enzymes. In the second part of this paper, we review our own work, exploiting secretory phospholipase A2 as a site-specific trigger and prodrug activator in cancer therapy. We present novel prodrug lipids together with biophysical investigations of liposome systems, constituted by these new lipids and demonstrate their degradability by secretory phospholipase A2. We furthermore give examples of the biological performance of the enzymatically degradable liposomes as advanced drug delivery systems.     

Gamete and embryo isolation and culture with microfluidics

Assisted reproductive technologies (ARTs) encompass some of the most exciting modern scientific developments that tremendously impacts society at many levels. Since the beginning of ARTs, scientists have studied and critically analyzed techniques in order to find ways to improve outcomes; however, little has changed with the actual technology and equipment for embryo in vitro production (IVP). New technologic possibilities exist with the escalating advancements of microfluidic technologies. Microfluidics is based on the behavior of liquids in a microenvironment. Although a young field, substantial research demonstrates the potential of this technology in gamete and embryo isolation and culture. In this review, we briefly discuss physical principles of microfluidics and highlight previous utilization of this technology. We then present designs and outcomes for microfluidic devices utilized thus far for different steps in the IVP process: gamete isolation and processing, fertilization, and embryo culture. Finally, we discuss and speculate on future use of microfluidics for assessing embryo viability and multiparametric analysis of embryo secretions and the integration of ART stage-specific capabilities that will lead to an "IVP-lab-on-a-chip".     

Emerging technologies for the detection and genetic characterization of protozoan parasites

The development and adaptation of new technologies for the genetic characterization and identification of parasites continue to accelerate, providing an increasing number of research and analytical tools. We review emerging technologies that have applications in this area, including real-time PCR and microarrays, and discuss the fundamental principles of some of these technologies and how they are applied to characterize parasites. We give special consideration to the application of genetic data to biological questions, where selection of the most appropriate technique depends on the biological question posed by the investigator.     

Microbial solar cells: applying photosynthetic and electrochemically active organisms

Microbial solar cells (MSCs) are recently developed technologies that utilize solar energy to produce electricity or chemicals. MSCs use photoautotrophic microorganisms or higher plants to harvest solar energy, and use electrochemically active microorganisms in the bioelectrochemical system to generate electrical current. Here, we review the principles and performance of various MSCs in an effort to identify the most promising systems, as well as the bottlenecks and potential solutions, for "real-life" MSC applications. We present an outlook on future applications based on the intrinsic advantages of MSCs, specifically highlighting how these living energy systems can facilitate the development of an electricity-producing green roof.     

A Taxonomic Review of the Use of IoT and Blockchain in Healthcare Applications

ObjectivesWith the rapid evolution and technology advancement, the healthcare sector is evolving day by day. It is taking advantage of different technologies such as Internet of things and Blockchain. Several applications related to daily healthcare activities are adopting the use of these technologies. In this paper, we present a review in which we group different healthcare applications that integrate the Internet of things and Blockchain in their systems.Material and methodsA review study about the integration of IoT and Blockchain in healthcare systems was conducted. We searched the databases ScienceDirect, IEEE Xplore, Google Scholar and ACM Digital Library.ResultsThis review focuses on categorizing the use cases of IoT and Blockchain in the healthcare sector. The study listed 6 applications in medical services, namely, remote patient monitoring, electronic medical records management, disease prediction, patient tracking, drug traceability and fighting infectious disease especially COVID-19. The paper also investigates the challenges associated with the adoption of the Blockchain technology in healthcare IoT-based systems and some of the existing solutions. It also introduces some future research directions.ConclusionThe survey of the use cases of IoT and Blockchain in the healthcare sector will serve as a state of the art for future researches. In addition, the paper gives some directions to new possible researches that could help to revolutionize the healthcare sector by using other technologies such as artificial intelligence, big data, fog and cloud computing.     

Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicine

Realizing personalized medicine requires integrating diverse data types with bioinformatics. The most vital data are genomic information for individuals that are from advanced next-generation sequencing (NGS) technologies at present. The technologies continue to advance in terms of both decreasing cost and sequencing speed with concomitant increase in the amount and complexity of the data. The prodigious data together with the requisite computational pipelines for data analysis and interpretation are stressors to IT infrastructure and the scientists conducting the work alike. Bioinformatics is increasingly becoming the rate-limiting step with numerous challenges to be overcome for translating NGS data for personalized medicine. We review some key bioinformatics tasks, issues, and challenges in contexts of IT requirements, data quality, analysis tools and pipelines, and validation of biomarkers.     

Virus bioinformatics: databases and recent applications

Bioinformatics is now used as an umbrella term for almost all aspects of computational biology. Bioinformatics research will have an impact on all of biology, and virology is not immune from these research methods. Although virology has been slower to embrace bioinformatics this is now changing, particularly in the areas of viral sequences databasing and the systematic identification of viral and host homologous proteins. Here we will review some of these recent advances focusing mainly on the herpesvirus.     

Controlling morpholino experiments: don't stop making antisense

One of the most significant problems facing developmental biologists who do not work on an organism with well-developed genetics - and even for some who do - is how to inhibit the action of a gene of interest during development so as to learn about its normal biological function. A widely adopted approach is to use antisense technologies, and especially morpholino antisense oligonucleotides. In this article, we review the use of such reagents and present examples of how they have provided insights into developmental mechanisms. We also discuss how the use of morpholinos can lead to misleading results, including off-target effects, and we suggest controls that will allow researchers to interpret morpholino experiments correctly.     

二氧化碳生物转化制甲烷技术研究进展

二氧化碳减量化与转化是当前业界关注及着手解决的重要问题,将二氧化碳作为资源转化为甲烷,有利于环境与社会的可持续发展。本文在分析二氧化碳转化为甲烷技术的基础上,重点介绍了国内外二氧化碳生物转化的研究与进展;总结了二氧化碳生物转化途径及其影响因素,分析了氢营养型、甲基营养型生物转化甲烷机理和生物转化能量来源;探讨了不同产甲烷菌微生物电合成产甲烷和氢气研究进展,总结了微生物电合成法、光合作用法和厌氧消化法等二氧化碳生物转化技术在反应器设计、电极材料选择、工艺条件优化及试验结果评估等方面取得的进展及存在的问题。重点就微生物电合成法的未来研究提出了增强微生物活性、提升氢气利用率、加快高效电极开发、提高能量效率、加强工业废气试验研究和强化光能转化等研究重点和发展方向,同时加强计算机模拟等交叉学科协同创新是促进二氧化碳生物转化技术进步的新方向。     

Effects of species diversity on disease risk

The transmission of infectious diseases is an inherently ecological process involving interactions among at least two, and often many, species. Not surprisingly, then, the species diversity of ecological communities can potentially affect the prevalence of infectious diseases. Although a number of studies have now identified effects of diversity on disease prevalence, the mechanisms underlying these effects remain unclear in many cases. Starting with simple epidemiological models, we describe a suite of mechanisms through which diversity could increase or decrease disease risk, and illustrate the potential applicability of these mechanisms for both vector-borne and non-vector-borne diseases, and for both specialist and generalist pathogens. We review examples of how these mechanisms may operate in specific disease systems. Because the effects of diversity on multi-host disease systems have been the subject of much recent research and controversy, we describe several recent efforts to delineate under what general conditions host diversity should increase or decrease disease prevalence, and illustrate these with examples. Both models and literature reviews suggest that high host diversity is more likely to decrease than increase disease risk. Reduced disease risk with increasing host diversity is especially likely when pathogen transmission is frequency-dependent, and when pathogen transmission is greater within species than between species, particularly when the most competent hosts are also relatively abundant and widespread. We conclude by identifying focal areas for future research, including (1) describing patterns of change in disease risk with changing diversity; (2) identifying the mechanisms responsible for observed changes in risk; (3) clarifying additional mechanisms in a wider range of epidemiological models; and (4) experimentally manipulating disease systems to assess the impact of proposed mechanisms.     

Peptidomics, current status

Characterisation of the complement of expressed proteins from a single genome is a central focus of the evolving field of proteomics. Traditional proteomics technologies were developed in the 20th century and are based on two-dimensional electrophoresis or multidimensional liquid chromatography. These facilitated functional genomics analysis, but they currently represent a significant bottleneck to progress in this area. We are now witnessing the development of novel alternative technologies for use in expression proteomics research. This review aims to familiarise the reader with the principles underlying the peptidomics approaches to proteomics research and provide examples of their applications.     

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms

Monitoring environmental evolutions, one of the most crucial axes on which sustainable development is based, requires the knowledge of information on the observed geographical scenes. Due to the continuous technological developments in the remote sensing field, the data sources increase exponentially over time, and the information contained in satellite images becomes increasingly rich. These characteristics make the extraction, processing and resolution of such data a complicated task that varies according to the situation. It is, therefore, necessary to develop tools adapted to satellite images interpretation and analysis problems. In this context, the constraint satisfaction problem (CSP) seems to be one of the methods to solve these problems. Despite some challenges, the CSP approach has performed well and proven its value in various fields. The effectiveness of CSP is based on two key points: first, the definition of constraints, and second, the choice of resolution methods. Therefore, a synthesis document covering CSP resolution methods, both static and dynamic, becomes relevant and necessary.This paper represents the first comprehensive review of CSP. We begin by listing CSP methods, detailing their principles, and presenting the corresponding algorithms. We then illustrate the execution process of CSP methods using examples applied in the remote sensing domain for each one. Following this, we present a complete comparative study arranged according to key characteristics, which is intended to guide researchers to help them select the most appropriate resolution method for any given context. Finally, we present a set of challenges and future directions designed to suggest and drive further research in this promising field.     

Axenic and gnotobiotic insect technologies in research on host–microbiota interactions

Insects are one of the most important animal life forms on earth. Symbiotic microbes are closely related to the growth and development of the host insects and can affect pathogen transmission. For decades, various axenic insect-rearing systems have been developed, allowing further manipulation of symbiotic microbiota composition. Here we review the historical development of axenic rearing systems and the latest progress in using axenic and gnotobiotic approaches to study insect–microbe interactions. We also discuss the challenges of these emerging technologies, possible solutions to address these challenges, and future research directions that can contribute to a more comprehensive understanding of insect–microbe interactions.     

Collaborative protein filaments

It is now well established that prokaryotic cells assemble diverse proteins into dynamic cytoskeletal filaments that perform essential cellular functions. Although most of the filaments assemble on their own to form higher order structures, growing evidence suggests that there are a number of prokaryotic proteins that polymerise only in the presence of a matrix such as DNA, lipid membrane or even another filament. Matrix‐assisted filament systems are frequently nucleotide dependent and cytomotive but rarely considered as part of the bacterial cytoskeleton. Here, we categorise this family of filament‐forming systems as collaborative filaments and introduce a simple nomenclature. Collaborative filaments are frequent in both eukaryotes and prokaryotes and are involved in vital cellular processes including chromosome segregation, DNA repair and maintenance, gene silencing and cytokinesis to mention a few. In this review, we highlight common principles underlying collaborative filaments and correlate these with known functions.