Genes whose expression is growth factor regulated are likely to be important components in the mechanisms controlling cell proliferation and differentiation. With the aim of identifying some of those genes, a A cDNA library was prepared with poly(A)+ RNA from quiescent NIH 3T3 cells stimulated with serum for 4 h in the presence of cycloheximide. Differential screening of approximately 200,000 recombinant phage plaques revealed 2,540 clones that cross hybridized preferentially with [32P]cDNA derived from RNA of stimulated cells rather than with cDNA derived from nonstimulated cells. Cross hybridization of these clones identified 82 independent sequences, including c-fos and c-myc. Seventy-one clones were further studied. Analysis of the changes in transcription and mRNA levels after serum stimulation demonstrated that the kinetics and extent of the induction vary dramatically between the different genes. Cycloheximide in all cases superinduced the mRNA levels by two mechanisms, inhibiting the shutoff of transcription and prolonging the half-lives of the mRNAs. Our results showed that induction of proliferation is accompanied by the onset of a complex genetic program.A detailed knowledge of the biochemical events and the identification of the genes that are involved in the response to growth factors is currently being accumulated. A subset of these genes may play a critical role in cellular transformation. It is well established that the synthesis of new mRNA in quiescent cells is required for the cells to respond to mitogens and progress through Gl and enter the S phase (1). Furthermore, Gl seems to be a critical point of control of proliferation, where normal cells deprived of growth factors halt cycling, while transformed cells do not, suggesting that regulatory genes uncontrolled in the neoplastic phenotype are expressed during this transition. It has been estimated that in mouse fibroblasts, 3% of the mRNA species in logarithmically growing cells are absent in quiescent cells (49); thus, a set of these genes must be under the control of growth factors to allow cell proliferation. Evidence that gene expression could be controlled by the binding of a specific ligand to its receptor initially came from studies done with beta interferon (27,28) which demonstrated the transcriptional activation of two genes in human cells after interferon treatment. These findings were further supported by the interesting observation that the proto-oncogenes c-fos and c-myc present an immediate change in expression after stimulation of fibroblasts with growth factors (4,8,14,23,25,32), emphasizing also that important growth-controlling genes operate during the GO-to-Gl transition. Both genes are induced in the presence of protein synthesis inhibitors, demonstrating that their induction is a direct consequence of the growth factor-receptor interaction. Expression of c-fos is undetectable during the cell cycle (3), suggesting that its expression could be essential during the transition from GO to Gl and not for continuously growing ...

A Modular Open‐Source Assembler (AMOS) was designed to offer a modular approach to genome assembly. AMOS includes a wide range of tools for assembly, including the lightweight de novo assemblers Minimus and Minimo, and Bambus 2, a robust scaffolder able to handle metagenomic and polymorphic data. This protocol describes how to configure and use AMOS for the assembly of Next Generation sequence data. Additionally, we provide three tutorial examples that include bacterial, viral, and metagenomic datasets with specific tips for improving assembly quality.Curr. Protoc. Bioinform. 33:11.8.1‐11.8.18. © 2011 by John Wiley & Sons, Inc.

Comparative Yersinia genomics identifies features responsible for the colonization of specific host habitats and the horizontal transfer of virulence determinants.

BackgroundThe current revolution in genomics has been made possible by software tools called genome assemblers, which stitch together DNA fragments “read” by sequencing machines into complete or nearly complete genome sequences. Despite decades of research in this field and the development of dozens of genome assemblers, assessing and comparing the quality of assembled genome sequences still relies on the availability of independently determined standards, such as manually curated genome sequences, or independently produced mapping data. These “gold standards” can be expensive to produce and may only cover a small fraction of the genome, which limits their applicability to newly generated genome sequences. Here we introduce a de novo probabilistic measure of assembly quality which allows for an objective comparison of multiple assemblies generated from the same set of reads. We define the quality of a sequence produced by an assembler as the conditional probability of observing the sequenced reads from the assembled sequence. A key property of our metric is that the true genome sequence maximizes the score, unlike other commonly used metrics.ResultsWe demonstrate that our de novo score can be computed quickly and accurately in a practical setting even for large datasets, by estimating the score from a relatively small sample of the reads. To demonstrate the benefits of our score, we measure the quality of the assemblies generated in the GAGE and Assemblathon 1 assembly “bake-offs” with our metric. Even without knowledge of the true reference sequence, our de novo metric closely matches the reference-based evaluation metrics used in the studies and outperforms other de novo metrics traditionally used to measure assembly quality (such as N50). Finally, we highlight the application of our score to optimize assembly parameters used in genome assemblers, which enables better assemblies to be produced, even without prior knowledge of the genome being assembled.ConclusionLikelihood-based measures, such as ours proposed here, will become the new standard for de novo assembly evaluation.

Genes whose expression is growth factor regulated are likely to be important components in the mechanisms controlling cell proliferation and differentiation. With the aim of identifying some of those genes, a lambda cDNA library was prepared with poly(A)+ RNA from quiescent NIH 3T3 cells stimulated with serum for 4 h in the presence of cycloheximide. Differential screening of approximately 200,000 recombinant phage plaques revealed 2,540 clones that cross hybridized preferentially with [32P]cDNA derived from RNA of stimulated cells rather than with cDNA derived from nonstimulated cells. Cross hybridization of these clones identified 82 independent sequences, including c-fos and c-myc. Seventy-one clones were further studied. Analysis of the changes in transcription and mRNA levels after serum stimulation demonstrated that the kinetics and extent of the induction vary dramatically between the different genes. Cycloheximide in all cases superinduced the mRNA levels by two mechanisms, inhibiting the shutoff of transcription and prolonging the half-lives of the mRNAs. Our results showed that induction of proliferation is accompanied by the onset of a complex genetic program.

No abstract

Deep exome resequencing is a powerful approach for delineating patterns of protein-coding variation among genes, pathways, individuals and populations. We analyzed exome data from 2,440 individuals of European and African ancestry as part of the National Heart, Lung, and Blood Institute's Exome Project, the aim of which is to discover novel genes and mechanisms that contribute to heart, lung and blood disorders. Each exome was sequenced to a mean coverage of 116×, allowing detailed inferences about the population genomic patterns of both common variation and rare coding variation. We identifi ed more than 500,000 single nucleotide variations, the majority of which were novel and rare (76% of variants had a minor allele frequency of less than 0.1%), refl ecting the recent dramatic increase in the size of the human population. The unprecedented magnitude of this dataset allowed us to rigorously characterize the large variation in nucleotide diversity among genes (ranging from 0 to 1.32%), as well as the role of positive and purifying selection in shaping patterns of proteincoding variation and the diff erential signatures of population structure from rare and common variation. This dataset provides a framework for personal genomics and is an important resource that will allow inferences of broad importance to human evolution and health. I2Abstract not submitted for online publication. I3Are clinical genomes already becoming semi-routine for patient care? Mark Boguski Harvard Medical School, Boston, MA, USA Genome Biology 2011, 12(Suppl 1):I16 Hardly a month goes by without a new published report of a patient's genome being used diagnostically for clinical management in a diverse spectrum of disease areas, including gastroenterology, nephrology, neurology and oncology. The impression is that clinical genomics is already becoming semiroutine. However, a large and complex set of non-technical barriers needs to be overcome before genomics can truly be integrated into the practice of medicine and made widely available for patient care. Through the use of case studies, my presentation will elucidate issues relating to the needs and requirements of the workforce, the legal and regulatory aspects of 'laboratorydeveloped tests' and insurance reimbursement for 'multi-analyte diagnostics' . The roles of the Food and Drug Administration, the Centers for Medicare & Medicaid Services and the College of American Pathologists will be highlighted. I4Interrogating the architecture of cancer genomes Peter Campbell Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK Genome Biology 2011, 12(Suppl 1):I11Cancer is driven by mutation. Using massively parallel sequencing technology, we can now sequence the entire genome of cancer samples, allowing the generation of comprehensive catalogs of somatic mutations of all classes. Bespoke algorithms have been developed to identify somatically acquired point mutations, copy number changes and genomic rearrangements, which require extensive validation by confi rmatory testing. The ...

Transcriptomic studies of marine organisms are still in their infancy. A partial, subtracted expressed sequence tag (EST) library of the Caribbean octocoral Erythropodium caribaeorum and the sea fan Gorgonia ventalina has been analyzed in order to find novel genes or differences in gene expression related to potential secondary metabolite production or symbioses. This approach entails enrichment for potential non-"housekeeping" genes using the suppression subtractive hybridization (SSH) polymerase chain reaction (PCR) method. More than 500 expressed sequence tags (ESTs) were generated after cloning SSH products, which yielded at least 53 orthologous groups of proteins (COGs) and Pfam clusters, including transcription factors (Drosophila Big Brother), catalases, reverse transcriptases, ferritins and various "hypothetical" protein sequences. A total of 591 EST sequences were deposited into GenBank [dbEST: FL512138 -FL512331, GH611838, and HO061755-HO062154]. The results represent proof of concept for enrichment of unique transcripts over housekeeping genes, such as actin or ribosomal genes, which comprised approximately 17% of the total dataset. Due to the gene and sequence diversity of some ESTs, such sequences can find utility as molecular markers in current and future studies of this species and other soft coral biogeography, chemical ecology, phylogenetics, and evolution.