The obliteration of life: depersonalization and disembodiment in the terabyte era

Post-genomics allegedly allow us to become the “managers” of our own health. And yet, human individuality seems to dissolve into massive data streams. What is the fate of the human subject in the terabyte age? The Human Genome Project already resulted in personalizing and depersonalizing trends, exemplified by two types of genomes: the anonymized Human Reference Genome versus the personal genomes of genomics celebrities. This ambiguity is radicalized by post-genomics. Life becomes “obliterated”: dissolved into letters and symbols (e.g. the nucleotide alphabet), but this is complemented by re-personalizing trends. As a case study, I will analyze the Snyderome, involving a prominent geneticist who closely monitored “everything” with the help of precision diagnostics, resulting in a comprehensive (“high coverage”) omics portrait, highly personal and highly impersonal at the same time, captured in massive data sets, setting the stage for a digital panopticon: a molecularized “conscience”, the superego of the terabyte age.     

Pathways database system

During the next phase of the Human Genome Project, research will focus on functional studies of attributing functions to genes, their regulatory elements, and other DNA sequences. To facilitate the use of genomic information in such studies, a new modeling perspective is needed to examine and study genome sequences in the context of many kinds of biological information. Pathways are the logical format for modeling and presenting such information in a manner that is familiar to biological researchers. In this paper, we introduce an integrated system, called "Pathways Database System," with a set of software tools for modeling, storing, analyzing, visualizing, and querying biological pathways data at different levels of genetic, molecular, biochemical and organismal detail.     

Automated DNA sequencing and the analysis of the human genome

The Human Genome Initiative is a complex, multifaceted, international effort to establish a massive data base of map and sequence information for humans and other organisms. The success of this initiative is dependent upon the development of new technologies for the analysis of genomes. In this paper, an overview of the Human Genome Initiative is presented, and the current status of efforts to automate large-scale DNA sequence analysis is reviewed.     

Five Hundred Sixty-Five Triples of Chicken,Human, and Mouse Candidate Orthologs

The Human Genome Project has provided abundant gene sequence information on human and important model organisms. The chicken is well positioned from an evolutionary standpoint to serve as a link between higher and lower organisms, particularly mammals, and amphibia and fish. In this study we used stringent criteria to select 565 triples of chicken, human, and mouse candidate orthologs. We analyze the sequences with respect to nucleotide and amino acid similarities. This analysis also allows measurement of evolutionary distances of different proteins. We found that chicken-human and chicken-mouse sequence identities are highly correlated; similarly for chicken-human and chicken-mouse evolutionary distances. With chicken as the out-group, we found that mouse has a higher substitution rate than human, supporting the generation-time effect hypothesis. We also described the transversion bias, which is the preference for some transversions than others in nucleotide substitutions. We demonstrated that there are statistically significant properties in the differences of orthologous sequences. The differential patterns, in combination with sequence similarity analysis, may lead to the identification of genes that are very divergent from the mammalian orthologs.     

A human proteome project with a beginning and an end

Research activities centered on the ensemble of and individual human proteins have taken on numerous guises, some of which fall under the banner of what could be defined as a Human Proteome Project (HPP). However, the latter has yet to take-on the apparent global focus of its predecessor, the Human Genome Project. The reasons for this are both financial and technical. The disparate properties afforded to each protein by a 20-letter code render a single unifying approach difficult to implement, while the current limit of analytical detection has yet to deliver an entire proteome for even the simplest of microbes. The situation is complicated further by the fact that low abundance proteins dominate within any living cell. Thus, enhancement of signal-to-noise ratio by affinity ligands becomes of paramount importance if whole-organism proteomics is to be realized. The generation of such ligands (molecules exhibiting desirable affinity and selectivity for target) could provide the necessary focus and a task list with a definable beginning and end. Such a finite task list is considered essential if an HPP might one day deliver global coverage on a scale seen currently for the total DNA sequence of some 200 living organisms.     

Pathways database system: an integrated system for biological pathways

MOTIVATION: During the next phase of the Human Genome Project, research will focus on functional studies of attributing functions to genes, their regulatory elements, and other DNA sequences. To facilitate the use of genomic information in such studies, a new modeling perspective is needed to examine and study genome sequences in the context of many kinds of biological information. Pathways are the logical format for modeling and presenting such information in a manner that is familiar to biological researchers. RESULTS: In this paper we present an integrated system, called Pathways Database System, with a set of software tools for modeling, storing, analyzing, visualizing, and querying biological pathways data at different levels of genetic, molecular, biochemical and organismal detail. The novel features of the system include: (a) genomic information integrated with other biological data and presented from a pathway, rather than from the DNA sequence, perspective; (b) design for biologists who are possibly unfamiliar with genomics, but whose research is essential for annotating gene and genome sequences with biological functions; (c) database design, implementation and graphical tools which enable users to visualize pathways data in multiple abstraction levels, and to pose predetermined queries; and (d) an implementation that allows for web(XML)-based dissemination of query outputs (i.e. pathways data) to researchers in the community, giving them control on the use of pathways data. AVAILABILITY: Available on request from the authors.     

假基因的发现与研究

随着人类基因组计划的顺利实施,人们分离、鉴定新基因的速度越来越快,对于占人类基因组97%的非表达序列的研究,即对所谓"垃圾"DNA的研究已成为全球范围内关注的热点.现就假基因的发现、命名和分类、特性和分布、产生、作用机理、功能、进化及展望等方面进行论述.     

The Human Genome Project: a paradigm for information management in the life sciences

The major product of the Human Genome Project will be a series of linked data sets containing the genetic and physical location of all genes on each chromosome, plus the complete nucleotide sequence of the genome for humans and several model organisms. Here we summarize the current status of attempts to collect, analyze, and distribute this information in an electronically accessible form. Although formidable problems remain to be solved in the acquisition and adequate representation of the genetic, physical, and biological data, this project is a model for the rapid dissemination of genome and related information in biology and medicine.     

Literature and patent analysis of the cloning and identification of human functional genes in China

The Human Genome Project was launched at the end of the 1980s. Since then, the cloning and identification of functional genes has been a major focus of research across the world. In China too, the potentially profound impact of such studies on the life sciences and on human health was realized, and relevant studies were initiated in the 1990s. To advance China’s involvement in the Human Genome Project, in the mid-1990s, Committee of Experts in Biology from National High Technology Research and Development Program of China (863 Program) proposed the “two 1%” goal. This goal envisaged China contributing 1% of the total sequencing work, and cloning and identifying 1% of the total human functional genes. Over the past 20 years, tremendous achievement has been accomplished by Chinese scientists. It is well known that scientists in China finished the 1% of sequencing work of the Human Genome Project, whereas, there is no comprehensive report about “whether China had finished cloning and identifying 1% of human functional genes”. In the present study, the GenBank database at the National Center of Biotechnology Information, the PubMed search tool, and the patent database of the State Intellectual Property Office, China, were used to retrieve entries based on two screening standards: (i) Were the newly cloned and identified genes first reported by Chinese scientists? (ii) Were the Chinese scientists awarded the gene sequence patent? Entries were retrieved from the databases up to the cut-off date of 30 June 2011 and the obtained data were analyzed further. The results showed that 589 new human functional genes were first reported by Chinese scientists and 159 gene sequences were patented (http://gene.fudan.sh.cn/introduction/database/chinagene/chinagene.html). This study systematically summarizes China’s contributions to human functional genomics research and answers the question “has China finished cloning and identifying 1% of human functional genes?” in the affirmative.     

面向大规模人群的基因组注释系统

基因组注释是识别出基因组序列中功能组件的过程,其可以直接对序列赋予生物学意义,由此方便研究者探究和分析基因组功能.基因组注释可以帮助研究从三个层次上理解基因组,一种是在核苷酸水平的注释,主要确定DNA序列中基因、RNA、重复序列等组件的物理位置,包括转录起始,翻译起始,外显子边界等具体位置信息.同时可以注释得到变异在不...     

Using Targeted Large Deletions and High-EfficiencyN-Ethyl-N-nitrosourea Mutagenesis for Functional Analyses of the Mammalian Genome

The Human Genome Project has generated nucleotide sequences from an estimated 80,000 to 100,000 genes, only a small fraction of which have a known role. Nucleotide sequence information alone is insufficient to predict gene function. One of the most powerful ways of revealing gene function, as demonstrated in bacteria, worms, yeast, and flies, is to generate mutations and characterize them at both the phenotypic and the molecular levels. Given the physiological and anatomical parallels between mouse and human, genotype–phenotype relationships established in mice can be extrapolated to human syndromes. A new method is described for functional genetic analyses in the mouse that uses loxP/Cre engineering to generate coat color-tagged large deletions. The haploid regions can then be dissected by mutagenesis withN-ethyl-N-nitrosourea in phenotype-driven screens to obtain functional information on genes in any desired region of the mouse genome.     

Synthetic genome engineering forging new frontiers for wine yeast

Over the past 15 years, the seismic shifts caused by the convergence of biomolecular, chemical, physical, mathematical, and computational sciences alongside cutting-edge developments in information technology and engineering have erupted into a new field of scientific endeavor dubbed Synthetic Biology. Recent rapid advances in high-throughput DNA sequencing and DNA synthesis techniques are enabling the design and construction of new biological parts (genes), devices (gene networks) and modules (biosynthetic pathways), and the redesign of biological systems (cells and organisms) for useful purposes. In 2014, the budding yeast Saccharomyces cerevisiae became the first eukaryotic cell to be equipped with a fully functional synthetic chromosome. This was achieved following the synthesis of the first viral (poliovirus in 2002 and bacteriophage Phi-X174 in 2003) and bacterial (Mycoplasma genitalium in 2008 and Mycoplasma mycoides in 2010) genomes, and less than two decades after revealing the full genome sequence of a laboratory (S288c in 1996) and wine (AWRI1631 in 2008) yeast strain. A large international project – the Synthetic Yeast Genome (Sc2.0) Project – is now underway to synthesize all 16 chromosomes (～12?Mb carrying ～6000 genes) of the sequenced S288c laboratory strain by 2018. If successful, S. cerevisiae will become the first eukaryote to cross the horizon of in silico design of complex cells through de novo synthesis, reshuffling, and editing of genomes. In the meantime, yeasts are being used as cell factories for the semi-synthetic production of high-value compounds, such as the potent antimalarial artemisinin, and food ingredients, such as resveratrol, vanillin, stevia, nootkatone, and saffron. As a continuum of previously genetically engineered industrially important yeast strains, precision genome engineering is bound to also impact the study and development of wine yeast strains supercharged with synthetic DNA. The first taste of what the future holds is the de novo production of the raspberry ketone aroma compound, 4-[4-hydroxyphenyl]butan-2-one, in a wine yeast strain (AWRI1631), which was recently achieved via metabolic pathway engineering and synthetic enzyme fusion. A peek over the horizon is revealing that the future of “Wine Yeast 2.0” is already here. Therefore, this article seeks to help prepare the wine industry – an industry rich in history and tradition on the one hand, and innovation on the other – for the inevitable intersection of the ancient art practiced by winemakers and the inventive science of pioneering “synthetic genomicists”. It would be prudent to proactively engage all stakeholders – researchers, industry practitioners, policymakers, regulators, commentators, and consumers – in a meaningful dialog about the potential challenges and opportunities emanating from Synthetic Biology. To capitalize on the new vistas of synthetic yeast genomics, this paper presents wine yeast research in a fresh context, raises important questions and proposes new directions.     

Database resources of the National Center for Biotechnology Information

In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources that operate on the data in GenBank and a variety of other biological data made available through NCBI's Web site. NCBI data retrieval resources include Entrez, PubMed, LocusLink and the Taxonomy Browser. Data analysis resources include BLAST, Electronic PCR, OrfFinder, RefSeq, UniGene, HomoloGene, Database of Single Nucleotide Polymorphisms (dbSNP), Human Genome Sequencing, Human MapViewer, GeneMap'99, Human-Mouse Homology Map, Cancer Chromosome Aberration Project (CCAP), Entrez Genomes, Clusters of Orthologous Groups (COGs) database, Retroviral Genotyping Tools, Cancer Genome Anatomy Project (CGAP), SAGEmap, Gene Expression Omnibus (GEO), Online Mendelian Inheri-tance in Man (OMIM), the Molecular Modeling Database (MMDB) and the Conserved Domain Database (CDD). Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. All of the resources can be accessed through the NCBI home page at: http://www.ncbi.nlm.nih. gov.     

DNA sequencing: bench to bedside and beyond

Fifteen years elapsed between the discovery of the double helix (1953) and the first DNA sequencing (1968). Modern DNA sequencing began in 1977, with development of the chemical method of Maxam and Gilbert and the dideoxy method of Sanger, Nicklen and Coulson, and with the first complete DNA sequence (phage ϕX174), which demonstrated that sequence could give profound insights into genetic organization. Incremental improvements allowed sequencing of molecules >200 kb (human cytomegalovirus) leading to an avalanche of data that demanded computational analysis and spawned the field of bioinformatics. The US Human Genome Project spurred sequencing activity. By 1992 the first ‘sequencing factory’ was established, and others soon followed. The first complete cellular genome sequences, from bacteria, appeared in 1995 and other eubacterial, archaebacterial and eukaryotic genomes were soon sequenced. Competition between the public Human Genome Project and Celera Genomics produced working drafts of the human genome sequence, published in 2001, but refinement and analysis of the human genome sequence will continue for the foreseeable future. New ‘massively parallel’ sequencing methods are greatly increasing sequencing capacity, but further innovations are needed to achieve the ‘thousand dollar genome’ that many feel is prerequisite to personalized genomic medicine. These advances will also allow new approaches to a variety of problems in biology, evolution and the environment.     

Linguistic Measure of Taxonomic and Functional Relatedness of Nucleotide Sequences

Abstract

The frequencies of “words”, oligonucleotides within nucleotide sequences, reflect the genetic information contained in the sequence “texts”. Nucleotide sequences are characteristically represented by their contrast word vocabularies. Comparison of the sequences by correlating their contrast vocabularies is shown to reflect well the relatedness (unrelatedness) between the sequences. A single value, the linguistic similarity between the sequences, is suggested asa measure of sequence relatedness. Sequences as short as 1000 bases can be characterized and quantitatively related to other sequences by this technique. The linguistic sequence similarity value is used for analysis of taxonomically and functionally diverse nucleotide sequences. The similarity value is shown to be very sensitive to the relatedness of the source species, thus providing a convenient tool for taxonomic classification of species by their sequence vocabularies. Functionally diverse sequences appear distinct by their linguistic similarity values. This can be a basis for a quick screening technique for functional characterization of the sequences and for mapping functionally distinct regions in long sequences.     

Recent findings from the human proteome project: opening the mass spectrometry toolbox to advance cancer diagnosis,surveillance and treatment

The Human Proteome Project stands to eclipse the Human Genome Project in terms of scope, content and interpretation. Its outputs, in conjunction with recent developments across the proteomics community, provide new tools for cancer research with the potential of providing clinically relevant insights into the disease. These collectively may guide the development of future diagnosis, surveillance and treatment strategies. Having established a robust organizational framework within the international community, the Human Proteome Organization and the proteomics community at large have made significant advances in biomarker discovery, detection, molecular imaging and in exploring tumor heterogeneity. Here, the authors discuss some developments in cancer proteomics and how they can be implemented to reduce the global burden of the disease.     

Discovery of the human genome sequence in the public and private databases.

Genomes: Much heat has been generated in discussions about the key human genome sequence databases, generated by the Human Genome Project and Celera, and what specific features each offers genome researchers. Stephen W. Scherer and Joseph Cheung, who are intense users of both, offer a personal assessment of the developing contents.     

Sequence structure of Lowary/Widom clones forming strong nucleosomes

Lowary and Widom selected from random sequences those which form exceptionally stable nucleosomes, including clone 601, the current champion of strong nucleosome (SN) sequences. This unique sequence database (LW sequences) carries sequence elements which confer stability on the nucleosomes formed on the sequences, and, thus, may serve as source of information on the structure of “ideal” or close to ideal nucleosome DNA sequence. An important clue is also provided by crystallographic study of Vasudevan and coauthors on clone 601 nucleosomes. It demonstrated that YR·YR dinucleotide stacks (primarily TA·TA) follow one another at distances 10 or 11 bases or multiples thereof, such that they all are located on the interface between DNA and histone octamer. Combining this important information with alignment of the YR-containing 10-mers and 11-mers from LW sequences, the bendability matrices of the stable nucleosome DNA are derived. The matrices suggest that the periodically repeated TA (YR), RR, and YY dinucleotides are the main sequence features of the SNs. This consensus coincides with the one for recently discovered SNs with visibly periodic DNA sequences. Thus, the experimentally observed stable LW nucleosomes and SNs derived computationally appear to represent the same entity – exceptionally stable SNs.     

The balance between heritable and environmental aetiology of human disease

The Human Genome Project and the ensuing International HapMap Project were largely motivated by human health issues. But the distance from a DNA sequence variation to a novel disease gene is considerable; for complex diseases, closing this gap hinges on the premise that they arise mainly from heritable causes. Using cancer as an example of complex disease, we examine the scientific evidence for the hypothesis that human diseases result from interactions between genetic variants and the environment.