Recent advances in DNA sequencing have revolutionized the field of genomics, making it possible for even single research groups to generate large amounts of sequence data very rapidly and at a substantially lower cost. These high‐throughput sequencing technologies make deep transcriptome sequencing and transcript quantification, whole genome sequencing and resequencing available to many more researchers and projects. However, while the cost and time have been greatly reduced, the error profiles and limitations of the new (...) platforms differ significantly from those of previous sequencing technologies. The selection of an appropriate sequencing platform for particular types of experiments is an important consideration, and requires a detailed understanding of the technologies available; including sources of error, error rate, as well as the speed and cost of sequencing. We review the relevant concepts and compare the issues raised by the current high‐throughput DNA sequencing technologies. We analyze how future developments may overcome these limitations and what challenges remain. (shrink)

High‐throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre‐genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high‐throughput DNA analyses will ultimately allow researchers to identify trans‐acting factors and cis sequences that underlie mutation rate variation. Such (...) work should provide insights on how mutation rate variability can impact genome organization and disease progression. (shrink)

Understanding in vivo regeneration of complex structures offers a fascinating perspective for translation into medical applications. Unfortunately, mammals in general lack large‐scale regenerative capacity, whereas planarians, newts or Hydra can regenerate complete body parts. Such organisms are, however, poorly annotated because of the lack of sequence information. This leads to limited access for molecular biological investigations. In the last decade, high throughput technologies and new methods enabling the effective generation of transgenic animals have rapidly evolved. These developments have (...) allowed the extensive use of niche model organisms as part of a trend towards the accessibility of a greater panel of model species for scientific research. The case study that follows provides an insight into the impact of high throughput techniques on the landscape of models of regeneration. The cases presented here give evidence of alternative stem cell maintenance pathways, the identification of new protein families and new stem cell markers. (shrink)

The cellular internal ribosomal entry site (IRES) is one of the most important elements to mediate cap‐independent translational initiation, especially under conditions of stress and pathology. However, a high‐throughput method to discover IRESs in these conditions is still lacking. Here, a possible way IRES long‐read sequencing based on the latest high‐throughput technologies is proposed to solve this problem. Based on this design, diversity and integrity of the transcriptome from original samples can be kept. The micro‐environment (...) that stimulates or inhibits IRES activity can also be mimicked. By using long read‐length sequencing technology, additional experiments that are essential for ruling out the cryptic promoters or splicing events in routine IRES identification processes can be circumvented. It is hoped that this proposed methodology may be adopted for IRES element discovery, hence uncovering the full extent of the role of IRESs in disease, development, and stress. Also see the video abstract here https://youtu.be/JuWBbMzWXS8. (shrink)

In this review we highlight the importance of defining the untranslated parts of transcripts, and present a number of computational approaches for the discovery and quantification of alternative transcription start and poly-adenylation events in high-throughput transcriptomic data. The fate of eukaryotic transcripts is closely linked to their untranslated regions, which are determined by the position at which transcription starts and ends at a genomic locus. Although the extent of alternative transcription starts and alternative poly-adenylation sites has been revealed (...) by sequencing methods focused on the ends of transcripts, the application of these methods is not yet widely adopted by the community. We suggest that computational methods applied to standard high-throughput technologies are a useful, albeit less accurate, alternative to the expertise-demanding 5′ and 3′ sequencing and they are the only option for analysing legacy transcriptomic data. We review these methods here, focusing on technical challenges and arguing for the need to include better normalization of the data and more appropriate statistical models of the expected variation in the signal. We highlight the importance of defining the untranslated parts of transcripts, and present a number of computational approaches for the discovery and quantification of alternative transcription start site and alternative poly-adenylation events from standard high-throughput transcriptomic data. We discuss the challenges faced by these methods and argue for the use of better statistical models for dealing with biases in the data and variation in the signal. (shrink)

Culture-independent high-throughput sequencing has provided unprecedented insights into microbial ecology, particularly for Earth’s most ubiquitous and diverse inhabitants – the viruses. A plethora of methods now exist for amplifying the vanishingly small amounts of nucleic acids in natural viral communities in order to sequence them, and sequencing depth is now so great that viral genomes can be detected and assembled even amid large concentrations of non-viral DNA. Complementing these advances in amplification and sequencing is the (...) ability to physically link fluorescently labeled viruses to their host cells via high-throughput flow sorting. Sequencing of such isolated virus–host pairs facilitates cultivation-independent exploration of the natural host range of viruses. Within the next decade, as these technologies become widespread, we can expect to see a systematic expansion of our knowledge of viruses and their hosts. (shrink)

DNA‐based typing methods are increasingly important for the characterisation of bacteria. They are used to monitor the epidemiology of pathogens with public health significance and also to help understand the evolution and population biology of bacteria. However, these methods require accuracy and reproducibility and are often of a high‐throughput nature. Laboratory automation is therefore the key to the successful implementation of such methods. This review describes the impact of automation on DNA‐based typing methods, particularly multi‐locus sequence typing (MLST), (...) and the method components that can be automated. BioEssays 24:858–862, 2002. © 2002 Wiley Periodicals, Inc. (shrink)

Rapid advances in high throughput genomic technologies and next generation sequencing are making medical genomic research more readily accessible and affordable, including the sequencing of patient and control whole genomes and exomes in order to elucidate genetic factors underlying disease. Over the next five years, the Human Heredity and Health in Africa (H3Africa) Initiative, funded by the Wellcome Trust (United Kingdom) and the National Institutes of Health (United States of America), will contribute greatly towards sequencing (...) of numerous African samples for biomedical research. (shrink)

Since the first draft of the human genome was published in 2001, DNA sequencing technology has advanced at a remarkable pace. Launched in 1990, the Human Genome Project sought to sequence all three billion base pairs of the haploid human genome, an endeavor that took more than a decade and cost nearly three billion dollars. The subsequent development of so-called “next generation” sequencing methods has raised the possibility that real-time, affordable genome sequencing will soon be widely available. (...) Currently, NGS methods can be used to sequence up to 60 billion base pairs per day. Whole-genome sequencing costs an estimated $5,000-10,000, with that number predicted to fall to $1000 in the near future.In the past few years, the availability of high-throughput NGS methods has led to a proliferation of potential and actual clinical applications for NGS. NGS therefore has the potential to usher in the long-awaited era of personalized medicine. (shrink)

Die rasanten technischen Fortschritte in der Genomforschung ermöglichen heute schon die Sequenzierung des einzelnen menschlichen Genoms in wenigen Tagen und zu vertretbaren Kosten. In der Krebsforschung ermöglicht die genetische Sequenzanalyse, zunehmend die Defekte zu identifizieren, die für das Tumorwachstum bei jedem einzelnen Patienten verantwortlich sind. Auf dieser Basis können zielgerichteter Therapien entwickelt werden. Diese Forschung wirft jedoch auch neue, ethische Fragen auf. Diesen normativen Fragen widmet sich in Heidelberg das interdisziplinäre EURAT Projekt mit dem Ziel, ethisch und rechtlich informierte Lösungen (...) zu formulieren und zu etablieren.Dieser Beitrag gibt zum einen einen Überblick über die ethischen und klinischen Fragen, die für den Aufklärungs- und Einwilligungsprozess in die biobankbasierte Genomforschung relevant sind. Zum anderen wird als organisationsethische Antwort auf die Frage, wie eine Forschungsinstitution den verantwortungsvollen Umgang mit genetischen Informationen in Biobanken über die verschiedenen Berufsgruppen und beteiligten Institute hinweg sichern kann, ein Verhaltenskodex vorgestellt. Eine gut begründete, informierte Zustimmung und ein Verhaltenskodex sind beides Elemente einer „Best Practice Leitlinie“ und sollen den verantwortlichen Umgang aller beteiligten Mitarbeiter mit sensiblen genetischen Daten prägen. (shrink)

Transcriptional silencing may not necessarily depend on the continuous residence of a sequence‐specific repressor at a control element and may act via a “hit and run” mechanism. Due to limitations in assays that detect transcription factor (TF) binding, such as chromatin immunoprecipitation followed by high‐throughput sequencing (ChIP‐seq), this phenomenon may be challenging to detect and therefore its prevalence may be underappreciated. To explore this possibility, erythroid gene promoters that are regulated directly by GATA1 in an inducible system (...) are analyzed. It is found that many regulated genes are bound immediately after induction of GATA1 but the residency of GATA1 decreases over time, particularly at repressed genes. Furthermore, it is shown that the repressive mark H3K27me3 is seldom associated with bound repressors, whereas, in contrast, the active (H3K4me3) histone mark is overwhelmingly associated with TF binding. It is hypothesized that during cellular differentiation and development, certain genes are silenced by repressive TFs that subsequently vacate the region. Catching such repressor TFs in the act of silencing via assays such as ChIP‐seq is thus a temporally challenging prospect. The use of inducible systems, epitope tags, and alternative techniques may provide opportunities for detecting elusive “hit and run” transcriptional silencing. Also see the video abstract here https://youtu.be/vgrsoP_HF3g. (shrink)

“Antibiotic resistance is usually associated with a fitness cost” is frequently accepted as common knowledge in the field of infectious diseases. However, with the advances in high‐throughput DNA sequencing that allows for a comprehensive analysis of bacterial pathogenesis at the genome scale, including antibiotic resistance genes, it appears that this paradigm might not be as solid as previously thought. Recent studies indicate that antibiotic resistance is able to enhance bacterial fitness in vivo with a concomitant increase in (...) virulence during infections. As a consequence, strategies to minimize antibiotic resistance turn out to be not as simple as initially believed. Indeed, decreased antibiotic use may not be sufficient to let susceptible strains outcompete the resistant ones. Here, we put in perspective these findings and review alternative approaches, such as preventive and therapeutic anti‐bacterial immunotherapies that have the potential to by‐pass the classic antibiotics. (shrink)

Cells are the fundamental building blocks of organisms and their organization holds the key to our understanding of the processes that control Development and Physiology as well as the mechanisms that underlie disease. Traditional methods of analysis of subcellular structure have relied on the purification of organelles and the painstaking biochemical description of their components. The arrival of high‐throughput genomic and, more significantly, proteomic technologies has opened hereto unforeseen possibilities for this task. Recently two reports(1,2) show how much (...) can be gleaned from the combination of analytical centrifugation, mass spectrometry and advanced statistical techniques focused on a high‐throughput analysis of the content and organization of plant and animal cells. The results reveal intriguing possibilities for the future and the possibility of mapping much of the known proteome onto our current map of the cell. BioEssays 28: 780–784, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

Now characterised by high-throughput sequencing methods that enable the study of microbes without lab culture, the human “microbiome” (the microbial flora of the body) is said to have revolutionary implications for biology and medicine. According to many experts, we must now understand ourselves as “holobionts” like lichen or coral, multispecies superorganisms that consist of animal and symbiotic microbes in combination, because normal physiological function depends on them. Here I explore the 1960s research of biologist René Dubos, a (...) forerunner figure mentioned in some historical accounts of the microbiome, and argue that he arrived at the superorganism concept 40 years before the Human Microbiome Project. This raises the question of why his contribution was not hailed as revolutionary at the time and why Dubos is not remembered for it. (shrink)

Bioscientists generate far more data than their minds can handle, and this trend is likely to continue. With the aid of a small set of versatile tools for mathematical modeling and statistical assessment, bioscientists can explore their real-world systems without experiencing data overflow. This article outlines an approach for combining modern high-throughput, low-cost, but non-selective biospectroscopy measurements with soft, multivariate biochemometrics data modeling to overview complex systems, test hypotheses, and making new discoveries. From preliminary, broad hypotheses and goals, (...) many relevant samples are selected and measured with respect to many informative variables. The resulting tables represent a “cacophony” of data. From these, the most relevant and reliable “underlying harmonies and rhythms” are extracted and tested statistically, displayed for interpretation, and used for prediction. Outliers are detected automatically. Interesting subsets of samples can then be chosen for in-depth analyses in subsequent research cycles. This pragmatic, top-down approach takes advantage of developments in both “soft,” data-driven modeling and “hard,” knowledge-driven cultures. Data analytical examples show how information-rich biospectroscopy can be used for characterizing and quantifying known and unknown chemical constituents and physical phenomena in intact biosamples. This is based on a combination of deductive “hard” and inductive “soft” modeling. The examples represent NIR spectra of biochemical mixtures, FTIR spectra of a microbiological fermentation process, and FTIR analysis of fatty acids in milk for functional genomics. (shrink)

As evidenced by high-throughput sequencers, genomic technologies have recently undergone radical advances. These technologies enable comprehensive sequencing of personal genomes considerably more efficiently and less expensively than heretofore. These developments present a challenge to the conventional framework of biomedical ethics; under these changing circumstances, each research project has to develop a pragmatic research policy. Based on the experience with a new large-scale project—the Genome Science Project—this article presents a novel approach to conducting a specific policy for personal (...) genome research in the Japanese context. In creating an original informed-consent form template for the project, we present a two-tiered process: making the draft of the template following an analysis of national and international policies; refining the draft template in conjunction with genome project researchers for practical application. Through practical use of the template, we have gained valuable experience in addressing challenges in the ethical review process, such as the importance of sharing details of the latest developments in genomics with members of research ethics committees. We discuss certain limitations of the conventional concept of informed consent and its governance system and suggest the potential of an alternative process using information technology. (shrink)

Biomedical research is increasingly data intensive and computational, and “big data science” is migrating into the clinical arena. Unfortunately, ethicists, regulators, and policy‐makers have barely begun to explore the ethical, legal, and social issues raised by the variety of analytical and computational approaches in use and under development in biology and medicine. Most scholarship concerning big data bioscience has focused on privacy, a vitally important consideration but not the only one. Among the issues raised by new computational technologies are questions (...) about safety and safety assessment, justice, and how to obtain proper informed consent. These technologies also raise a myriad of regulatory issues that could influence the probability of translating new assays or computational tools to the clinical or public health spheres. (shrink)

Recent experimental evidence suggests that most of the genome is transcribed into non‐coding RNAs. The initial transcripts undergo further processing generating shorter, metabolically stable RNAs with diverse functions. Small nucleolar RNAs (snoRNAs) are non‐coding RNAs that modify rRNAs, tRNAs, and snRNAs that were considered stable. We review evidence that snoRNAs undergo further processing. High‐throughput sequencing and RNase protection experiments showed widespread expression of snoRNA fragments, known as snoRNA‐derived RNAs (sdRNAs). Some sdRNAs resemble miRNAs, these can associate with (...) argonaute proteins and influence translation. Other sdRNAs are longer, form complexes with hnRNPs and influence gene expression. C/D box snoRNA fragmentation patterns are conserved across multiple cell types, suggesting a processing event, rather than degradation. The loss of expression from genetic loci that generate canonical snoRNAs and processed snoRNAs results in diseases, such as Prader‐Willi Syndrome, indicating possible physiological roles for processed snoRNAs. We propose that processed snoRNAs acquire new roles in gene expression and represent a new class of regulatory RNAs distinct from canonical snoRNAs.Also watch the Video Abstract. (shrink)

A general view in philosophy of science says that the appropriateness of an object to act as a surrogate depends on the user’s decision to utilize it as such. This paper challenges this claim by examining the role of surrogative reasoning in high-throughput sequencing technologies as they are used in contemporary microbiome science. Drawing on this, we argue that, in technology-driven surrogates, knowledge about the type of inference practically permitted and epistemically justified by the surrogate constrains their (...) use and thus puts a limit to the user’s intentions to use any object as a surrogate for what they please. Ignoring this leads to a serious epistemic misalignment, which ultimately prevents surrogative reasoning. Thus, we conclude that knowledge about the type of surrogate reasoning that the technologies being used allow is fundamental to avoid misinterpreting the consequences of the data obtained with them, the hypothesis this data supports, and what these technologies are surrogates of. (shrink)

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information (PGI) direct-to-consumers. Companies such as 23andme (Mountain View, CA) and Navigenics (Foster City, CA) are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class (...) of social networking business ventures that market the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data (increasing statistical power) and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

“Ancient DNA Research” is the practice of extracting, sequencing, and analyzing degraded DNA from dead organisms that are hundreds to thousands of years old. Today, many researchers are interested in adapting state-of-the-art molecular biological techniques and high-throughput sequencing technologies to optimize the recovery of DNA from fossils, then use it for studying evolutionary history. However, the recovery of DNA from fossils has also fueled the idea of resurrecting extinct species, especially as its emergence corresponded with the (...) book and movie Jurassic Park in the 1990s. In this paper, I use historical material, interviews with scientists, and philosophical literature to argue that the search for DNA from fossils can be characterized as a data-driven and celebrity-driven practice. Philosophers have recently argued the need to seriously consider the role of data-driven inquiry in the sciences, and likewise, this history highlights the need to seriously consider the role of celebrity in shaping the kind of research that gets pursued, funded, and ultimately completed. On this point, this history highlights that the traditional philosophical and scientific distinctions between data-driven and hypothesis-driven research are not always useful for understanding the process and practice of science. Consequently, I argue that the celebrity status of a particular research practice can be considered as a “serious epistemic strategy” that researchers, as well as editors and funders, employ when making choices about their research and publication processes. This interplay between celebrity and methodology matters for the epistemology of science. (shrink)

In science and technology studies today, there is a troubling tendency to portray actors in the biosciences as “cultural dopes” and technology as having monolithic qualities with predetermined outcomes. To remedy this analytical impasse, this article introduces the concept styles of valuation to analyze how actors struggle with valuing technology in practice. Empirically, this article examines how actors in a bioscientific laboratory struggle with valuing the properties and qualities of algorithms in a high-throughput setting and identifies the copresence (...) of several different styles. The question that the actors struggle with is what different configurations of algorithms, devices, and humans are “good bioscience,” that is, what do the actors perform as a good distribution of agency between algorithms and humans? A key finding is that algorithms, robots, and humans are valued in multiple ways in the same setting. For the actors, it is not apparent which configuration of agency and devices is more authoritative nor is it obvious which skills and functions should be redistributed to the algorithms. Thus, rather than tying algorithms to one set of values, such as “speed,” “precision,” or “automation,” this article demonstrates the broad utility of attending to the multivalence of algorithms and technology in practice. (shrink)

High‐throughput genomic technologies are revolutionizing human genetics. So far the focus has been on the 1.5% of the genome, which is coding, in spite of the fact that the great majority of genomic variants fall outside the coding regions. Recent efforts to annotate the non‐coding sequence show that over 80% of the genome is biochemically active. The genome is divided into regulatory domains consisting of sequence regions that enhance and/or silence the expression of nearby genes and are, in (...) some cases, separated by boundaries with insulator activity. In this paper, we review the recent advances in the identification of variations that influence gene regulation and their consequences for human disease. We hypothesize that structural variations outside of the coding genome can interfere with normal gene regulation by disrupting the regulatory landscape. Therefore, the regulatory landscape of the genome has also to be taken into consideration when investigating the pathology of human disease. (shrink)

The Post-genomic Era includes features both from a methodological and epistemic point of view and from an ontological perspective. Firstly, it incorporates new methods of high-throughput sequencing of DNA and RNA, and the development of complete genomes that allow a precise reference of the molecular results obtained. In addition, from an ontological perspective, the centre of gravity of the molecular processes is placed on the expression of genes, and the way in which such expression is regulated; these (...) features turn the attention towards the study of Gene Regulatory Networks, and in particular to the role of RNA. This new molecular-biological perspective based on new methodologies and approaches is affecting the existing Molecular Genetics Theory including the definition of gen and Central Dogma of Molecular Biology. An important philosophical challenges posed by this new situation is the question whether there is a sophistication of the present theory or a New Theory of Molecular Genetics and whether there is an incommensurability between this theory and the accepted theory. In this work we evaluate these changes in the light of Kuhn’s theory of scientific revolution in order to propose an alternative between a moderate and a strong view. According to the moderate one, the Post-genomic changes do not properly involve a paradigm shift or, if they do, they constitute a minor revolution. The strong view considers that, the anomalies disclosed in the Molecular Genetics Theory at conceptual and methodological level and the Post-genomic changes they lead to suppose a scientific paradigm shift. (shrink)

During the last few months, several pioneer genome‐wide transcriptomic, proteomic and metabolomic studies have revolutionised the understanding of bacterial biological processes, leading to a picture that resembles eukaryotic complexity. Technological advances such as next‐generation high‐throughput sequencing and high‐density oligonucleotide microarrays have allowed the determination, in several bacteria, of the entire boundaries of all expressed transcripts. Consequently, novel RNA‐mediated regulatory mechanisms have been discovered including multifunctional RNAs. Moreover, resolution of bacterial proteome organisation (interactome) and global protein localisation (...) (localizome) have unveiled an unanticipated complexity that highlights the significance of protein multifunctionality and localisation in the cell. Also, analysis of a complete bacterial metabolic network has again revealed a high fraction of multifunctional enzymes and an unexpectedly high level of metabolic responses and adaptation. Altogether, these novel approaches have permitted the deciphering of the entire physiological landscape of one of the smallest bacteria, Mycoplasma pneumoniae. Here, we summarise and discuss recent findings aimed at defining the blueprint of any prokaryote. (shrink)

In the evaluation of genomic high-throughput technologies, the idea of “utility” plays an important role. The “clinical utility” of genomic data refers to the improvement of healthcare outcomes, its “personal utility” to benefits that go beyond healthcare purposes. Both concepts are contested. Moreover, there are only few empirical insights regarding their interpretation by those professionally involved or personally affected. Our paper presents results from qualitative research (20 semi-structured interviews) regarding professionals’ and personally affected people’s views on the utility (...) of genomic information. We find that the discussion of clinical utility is the domain of professionals who primarily consider aspects of test validity and clinical outcomes. By contrast, personal utility plays a prominent role in affected persons’ discussions. Four different aspects are addressed: (a) life and family planning, (b) relief and justification, (c) self-knowledge and self-determination, and (d) entertainment. These differences have important implications for informed consent and counseling in the context of genomic high-throughput technologies. (shrink)

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information direct-to-consumers. Companies such as 23andme and Navigenics are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class of social networking business ventures that market (...) the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

Kawasaki disease (KD) is an acute self‐limiting vasculitis with coronary complications, usually occurring in children. The incidence of KD in children is increasing year by year, mainly in East Asian countries, but relatively stably in Europe and America. Although studies on KD have been reported, the pathogenesis of KD is unknown. With the development of high‐throughput sequencing technology, growing number of regulatory noncoding RNAs (ncRNAs) including microRNA (miRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA) have been (...) identified to involved in KD. However, the role of ncRNAs in KD has not been comprehensively elucidated. Therefore, it is significative to study the regulatory role of ncRNA in KD, which might help to uncover new and effective therapeutic strategies for KD. In this review, we summarize recent studies on ncRNA in KD from the perspectives of immune disorders, inflammatory disorders, and endothelial dysfunction, and highlight the potential of ncRNAs as therapeutic targets for KD. (shrink)

To succeed, we posit that research cartography will require high-throughput natural description to identify unknown unknowns in a particular design space. High-throughput natural description, the systematic collection and annotation of representative corpora of real-world stimuli, faces logistical challenges, but these can be overcome by solutions that are deployed in the later stages of integrative experiment design.

Large deletions and genomic re‐arrangements are increasingly recognized as common products of double‐strand break repair at Clustered Regularly Interspaced, Short Palindromic Repeats ‐ CRISPR associated protein 9 (CRISPR/Cas9) on‐target sites. Together with well‐known off‐target editing products from Cas9 target misrecognition, these are important limitations, that need to be addressed. Rigorous assessment of Cas9‐editing is necessary to ensure validity of observed phenotypes in Cas9‐edited cell‐lines and model organisms. Here the mechanisms of Cas9 specificity, and strategies to assess and mitigate unwanted effects (...) of Cas9 editing are reviewed; covering guide‐RNA design, RNA modifications, Cas9 modifications, control of Cas9 activity; computational prediction for off‐targets, and experimental methods for detecting Cas9 cleavage. Although recognition of the prevalence of on‐ and off‐target effects of Cas9 editing has increased in recent years, broader uptake across the gene editing community will be important in determining the specificity of Cas9 across diverse applications and organisms. (shrink)

Viruses are essentially composed of a nucleic acid (segmented or not, DNA, or RNA) and a protein coat. Despite their simplicity, these small pathogens are responsible for significant economic and humanitarian losses that have had dramatic consequences in the course of human history. Since their discovery, scientists have developed different strategies to efficiently detect viruses, using all possible viral features. Viruses shape, proteins, and nucleic acid are used in viral detection. In this review, the development of these techniques, especially for (...) plant and mammalian viruses, their strengths and weaknesses as well as the latest cutting-edge technologies that may be playing important roles in the years to come are described. (shrink)

Aneuploidy, an aberrant number of chromosomes in a cell, is a feature of several syndromes associated with cognitive and developmental defects. In addition, aneuploidy is considered a hallmark of cancer cells and has been suggested to play a role in neurodegenerative disease. To better understand the relationship between aneuploidy and disease, various methods to measure the chromosome numbers in cells have been developed, each with their own advantages and limitations. While some methods rely on dividing cells and thus bias aneuploidy (...) rates to that population, other, more unbiased methods can only detect the average aneuploidy rates in a cell population, cloaking cell‐to‐cell heterogeneity. Furthermore, some techniques are more prone to technical artefacts, which can result in over‐ or underestimation of aneuploidy rates. In this review, we provide an overview of several “traditional” karyotyping methods as well as the latest high throughput next generation sequencing karyotyping protocols with their respective advantages and disadvantages. (shrink)

Since the 16th century, assays and screens have been essential for scientific investigation. However, most methods could be significantly improved, especially in accuracy, scalability, and often lack adequate comparisons to negative controls. There is a lack of consistency in distinguishing assays, in which accuracy is the main goal, from screens, in which scalability is prioritized over accuracy. We dissected and modernized the original definitions of assays and screens based upon recent developments and the conceptual framework of the original definitions. All (...) methods have three components: design/measurement, performance, and interpretation. We propose a model of method development in which reproducible observations become new methods, initially assessed by sensitivity. Further development can proceed along a path to either screens or assays. The screen path focuses on scalability first, but can later prioritize analysis of negatives. Alternatively, the assay path first compares results to negative controls, assessing specificity and accuracy, later adding scalability. Both pathways converge on a high‐accuracy and throughput (HAT) assay, like next generation sequencing, which we suggest should be the ultimate goal of all testing methods. Our model will help scientists better select among available methods, as well as improve existing methods, expanding their impact on science. (shrink)

Biobanks are repositories of human biological materials collected for biomedical research. There are over 300 million stored specimens in the United States, and the number grows by 20 million per year. In the post-genome world of high throughput gene sequencing and computational biology, biobanks hold the promise of facilitating large-scale research studies. New organizational and operational models of research repositories also raise complex issues of big science, big business, and big ethical concerns.

Biobanks are repositories of human biological materials collected for biomedical research. There are over 300 million stored specimens in the United States, and the number grows by 20 million per year. In the post-genome world of high throughput gene sequencing and computational biology, biobanks hold the promise of facilitating large-scale research studies. New organizational and operational models of research repositories also raise complex issues of big science, big business, and big ethical concerns.

Metazoa are one of the great monophyletic groups of organisms. They comprise several major groups of organisms readily recognizable based on their anatomy. These major groups include the Bilateria (animals with bilateral symmetry), Cnidaria (jellyfish, corals and other closely related animals), Porifera (sponges), Ctenophores (comb jellies) and a phylum currently made up of a single species, the Placozoa. Attempts to systematize the relationships of these major groups as well as to determine relationships within the groups have been made for nearly (...) two centuries. Many of the attempts have led to frustration, because of a lack of resolution between and within groups. Other attempts have led to “a new animal phylogeny”. Now, a study by Dunn et al.,1 using the expresssed sequence tag (EST) approach to obtaining high‐throughput large phylogenetic matrices, presents an “even newer” animal phylogeny. There are two major aspects of this study that should be of interest to the general biological community. First, the methods used by the authors to generate their phylogenetic hypotheses call for close examination. Second, the relationships of animal taxa in their resultant trees also prompt further discussion. BioEssays 30:1043–1047, 2008. © 2008 Wiley Periodicals, Inc. (shrink)

In this post‐sequencing era, geneticists can focus on functional genomics on a much larger scale than ever before. One goal is the discovery and elucidation of the intricate genetic networks that co‐ordinate transcriptional activation in different regulatory circuitries. High‐throughput gene expression measurement using DNA arrays has thus become routine strategy. This approach, however, does not directly identify gene loci that belong to the same regulatory group; e.g., those that are bound by a common (set of) transcription factor(s). (...) Working in yeast, two groups have recently published an elegant method that could circumvent this problem, by combining chromatin immunoprecipitation and DNA microarrays.(1,2) The method is likely to provide a powerful tool for the dissection of global regulatory networks in eukaryotic cells. BioEssays 23:473–476, 2001. © 2001 John Wiley & Sons, Inc. (shrink)

There are remarkable behavioral, neural, and genetic similarities between the way songbirds learn to sing and human infants learn to speak. Furthermore, the brain regions involved in birdsong learning, perception, and production have been identified and characterized in detail. In particular, the caudal medial nidopallium (the avian analog of the mammalian auditory‐association cortex) has been found to contain the neural substrate of auditory memory, paving the way for analyses of the underlying molecular mechanisms. Recently, the zebra finch genome was sequenced, (...) and annotated cDNA databases representing over 15,000 unique brain‐expressed genes are available, enabling high‐throughput gene expression analyses. Here we review the involvement of immediate early genes (e.g. zenk and arc), their downstream targets (e.g. synapsins), and their regulatory signaling pathways (e.g. MAPK/ERK) in songbird memory. We propose that in‐depth investigations of zenk‐ and ERK‐dependent cascades will help to further unravel the molecular basis of auditory memory. (shrink)

The development of improved methods for genome‐wide association studies (GWAS) for genetics of quantitative traits has been an active area of research during the last 25 years. This activity initially started with the use of mixed linear model (MLM), which was variously modified. During the last decade, however, with the availability of high throughput next generation sequencing (NGS) technology, development and use of pangenomes and novel markers including structural variations (SVs) and k‐mers for GWAS has taken over (...) as a new thrust area of research. Pangenomes and SVs are now available in humans, livestock, and a number of plant species, so that these resources along with k‐mers are being used in GWAS for exploring additional genetic variation that was hitherto not available for analysis. These developments have resulted in significant improvement in GWAS methodology for detection of marker‐trait associations (MTAs) that are relevant to human healthcare and crop improvement. (shrink)

Progress in sequencing the genome of the model plant Arabidopsis is reviewed. The resulting analysis of the sequence indicates an information-rich genome that is being tackled by a variety of high-throughput approaches aimed at understanding the functions of plant genes. The information derived from these systematic studies is providing important new knowledge of biological processes found uniquely in plants for comparison with that obtained in other multicellular organisms. BioEssays 1999;21:110–120. © 1999 John Wiley & Sons, Inc.

The nomination of candidate genes underlying complex traits is often focused on genetic variations that alter mRNA abundance or result in non‐conservative changes in amino acids. Although inconspicuous in complex trait analysis, genetic variants that affect splicing or RNA editing can also generate proteomic diversity and impact genetic traits. Indeed, it is known that splicing and RNA editing modulate several traits in humans and model organisms. Using high‐throughput RNA sequencing (RNA‐seq) analysis, it is now possible to integrate (...) the genetics of transcript abundance, alternative splicing (AS) and editing with the analysis of complex traits. We recently demonstrated that both AS and mRNA editing are modulated by genetic and environmental factors, and potentially engender phenotypic diversity in a genetically segregating mouse population. Therefore, the analysis of splicing and RNA editing can expand not only the regulatory landscape of transcriptome and proteome complexity, but also the repertoire of candidate genes for complex traits. (shrink)

RNA binding proteins (RBPs) are key factors for the regulation of gene expression by binding to cis elements, i.e. short sequence motifs in RNAs. Recent studies demonstrate that cooperative binding of multiple RBPs is important for the sequence‐specific recognition of RNA and thereby enables the regulation of diverse biological activities by a limited set of RBPs. Cross‐linking immuno‐precipitation (CLIP) and other recently developed high‐throughput methods provide comprehensive, genome‐wide maps of protein‐RNA interactions in the cell. Structural biology gives detailed (...) insights into molecular mechanisms and principles of RNA recognition by RBPs, but has so far focused on single RNA binding proteins and often on single RNA binding domains. The combination of high‐throughput methods and detailed structural biology studies is expected to greatly advance our understanding of the code for protein‐RNA recognition in gene regulation, as we review in this article. (shrink)

At the beginning of the 21st century, biology will try to address the function of a large number of new genes. From the perspective of technologies applied today to functional genomics, this task appears to be more complex than the effort invested in the sequencing of the human genome. Conceptually, a high-throughput approach permitting correlation between newly discovered genes and functional properties of their protein products has yet to be developed. To address relationships between tens of thousands (...) of genes and their cognate proteins, novel interdisciplinary technologies need to emerge. In this paper, a new idea of immunomics is presented and an experimental strategy is outlined to circumvent some of the restrictions associated with methodologies currently in use. It is proposed that cloned segments of genomic DNA are used for genetic immunization to obtain a large collection of antibodies, and to generate microarrays of these antibodies for tracing differentially expressed cellular proteins. (shrink)

In recent years, the distributed architecture has been widely adopted by security companies with the rapid expansion of their business. A distributed system is comprised of many computing nodes of different components which are connected by high-speed communication networks. With the increasing functionality and complexity of the systems, failures of nodes are inevitable which may result in considerable loss. In order to identify anomalies of the possible failures and enable DevOps engineers to operate in advance, this paper proposes a (...) two-layer prediction architecture based on the monitoring sequences of nodes status. Generally speaking, in the first layer, we make use of EXPoSE anomaly detection technique to derive anomaly scores in constant time which are then used as input data for ensemble learning in the second layer. Experiments are conducted on the data provided by one of the largest security companies, and the results demonstrate the predictability of the proposed approach. (shrink)

On Jagiello et al.'s cultural action framework, end-goal resolvability and causal transparency make possible the transmission of complex technologies through low-fidelity cultural learning. We offer three further features of goal-directed action sequences – specificity, riskiness, and complexity – which alter the effectiveness of low-fidelity cultural learning. Incorporating these into the cultural action framework generates further novel, testable predictions for bifocal stance theory.

Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. Our results show that experts and novices have similar surface behavior, such as (...) the number of fixations made or the duration of fixations. However, the approach applied to data from experts is able to identify more corresponding areas between two prints. The fixations that are associated with clusters that map with high probability to corresponding locations on the other print are likely to have greater utility in a visual matching task. These techniques address a fundamental problem in eye tracking research with perceptual matching tasks: Given that the eyes always point somewhere, which fixations are the most informative and therefore are likely to be relevant for the comparison task? (shrink)