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Application of the RLGS method to large-size genomes using a restriction trapper.

We developed a method for producing restriction landmark genomic scanning (RLGS) profiles of large-size genomes, such as those of higher plants or amphibians using a restriction trapper. Use of the conventional RLGS method is limited to genomes smaller than 3 x 10(9) bp, because the larger genomic DNAs, especially those of more than 1 x 10(10) bp, produce high background due to incorporation of radioactivity at non-specifically damaged sites. Our new method reduces the background levels by reducing genome complexity to 1/200-1/300 using a purification step to enrich DNA fragments carrying specific restriction landmarks at their ends using a restriction trapper. This step makes it possible to obtain RLGS patterns of larger genomes. Our paper describes the practical application for the RLGS method using a restriction trapper with the pine tree genome (3 x 10(10) bp/haploid genome; Pinus koraiensis Sieb. et Zucc.) as an example.

DNA, Plant↗

Biomarkers and multiple drug resistance in breast cancer.

Breast cancer, the most common form of cancer among women in North America and almost all of Europe, is a significant health problem in terms of both morbidity and mortality. It is estimated that each year this disease is diagnosed in over one million people worldwide and is the cause of more than 400,000 deaths. Although chemotherapy forms part of a successful treatment regime in many cases, as few as 50% patients may benefit from this, as a result of intrinsic or acquired multiple drug resistance (MDR). Through the use of in vitro cell culture models, a number of mechanisms of MDR have been identified; many, if not all, of which may contribute to breast cancer resistance in the clinical setting. This phenomenon is complicated by the likely multi-factorial nature of clinical resistance combined with the fact that, although apparently studied extensively in breast cancer, reported analyses have been performed using a range of analytical techniques; many on small sub-groups of patients, with different clinicopathological characteristics and receiving a range of therapeutic approaches. Larger defined studies, using standardised genomic and proteomics profiling approaches followed by functional genomics studies, are necessary in order to definitively establish the degree of complexity contributing to drug resistance and to identify novel therapeutic approaches - possibly involving chemotherapy, drug resistance modulators, and novel targeted therapies - to combat this disease.

Antineoplastic Agents↗

Functional genomics of innate host defense molecules in normal human monocytes in response to Aspergillus fumigatus.

Aspergillus fumigatus induces the release of innate immune-related molecules from phagocytic cells early in the course of infection. Little is known, however, about the complex expression profiles of the multiple genes involved in this response. We therefore investigated the kinetics of early gene expression in human monocytes (HMCs) infected with conidia of A. fumigatus using DNA microarray analysis. Total RNA from HMCs at 0, 2, 4, and 6 h was extracted, linearly amplified, hybridized onto Affymetrix HG133 Plus 2.0 gene chips, and analyzed with an Affymetrix scanner. Changes in gene expression were calculated as a ratio of those expressed by infected versus control HMCs. Aspergillus fumigatus induced differential regulation of expression in 1,827 genes (P < 0.05). Genes encoding cytokines and chemokines involved in host defense against A. fumigatus, including interleukin-1beta (IL-1beta), IL-8, CXCL2, CCL4, CCL3, and CCL20, as well as the opsonin long pentraxin 3, were up-regulated during the first 2 to 6 h, coinciding with an increase in phagocytosis. Simultaneously, genes encoding CD14, ficolin1, and MARCO were down-regulated, and genes encoding IL-10 and matrix metalloproteinase 1 were up-regulated. Up-regulation of the genes encoding heat shock proteins 40 and 110 and connexins 26 and 30 may point to novel molecules whose role in the pathogenesis of aspergillosis has not been previously reported. Verification of the transcriptional profiling was obtained for selected genes by reverse transcription-PCR and enzyme immunoassay. Thus, A. fumigatus conidia induced a coordinated expression of genes important in host defense and immunomodulation.

Aspergillosis↗

Profiling condition-specific, genome-wide regulation of mRNA stability in yeast.

The steady-state abundance of an mRNA is determined by the balance between transcription and decay. Although regulation of transcription has been well studied both experimentally and computationally, regulation of transcript stability has received little attention. We developed an algorithm, MatrixREDUCE, that discovers the position-specific affinity matrices for unknown RNA-binding factors and infers their condition-specific activities, using only genomic sequence data and steady-state mRNA expression data as input. We identified and computationally characterized the binding sites for six mRNA stability regulators in Saccharomyces cerevisiae, which include two members of the Pumilio-homology domain (Puf) family of RNA-binding proteins, Puf3p and Puf4p. We provide computational and experimental evidence that regulation of mRNA stability by these factors is modulated in response to a variety of environmental stimuli.

Gene Expression Profiling↗

Characterization and distribution of IS8301 in the radioresistant bacterium Deinococcus radiodurans.

The insertion sequence element IS8301 isolated from the radiation resistant bacterium Deinococcus radiodurans strain KD8301 was characterized. IS8301 is comprised of 1,736-bp, lacks terminal inverted repeats and does not duplicate target DNA upon its insertion. The amino acid sequence homology of two open reading frames encoded in IS8301 indicates that this insertion sequence element belongs to the IS200/IS605 group. There were seven loci completely identical with the IS8301 sequence in the published D. radiodurans R(1) genome sequence. The genome distribution profiles of IS8301 in strain KD8301 as well as in the three different laboratory isolates (KR(1), MR(1), and R(1)) of wild-type D. radiodurans were investigated using genomic hybridization analysis. At least 21 strong hybridization signals were detected in strain KD8301 while only one hybridization signal was detected in strain KR(1), the parent strain of KD8301. In strain MR1, a different wild-type isolate, six strong hybridization signals were detected. In spite of the identification of seven copies of IS8301 in the published D. radiodurans R(1) genome sequence, only one hybridization signal was detected in strain R(1) purchased from American Type Culture Collection. Using inverse PCR and sequencing analyses, total 13 different insertion loci of IS8301 in the D. radiodurans genome were identified. Sequence comparison of the flanking region of insertion sites indicated that the sequence 5'-TTGAT-3' preceded the left end of IS8301 in all cases.

Amino Acid Sequence↗

Linking nutrition to genomics.

The new scientific field of nutrigenomics utilizes genomic tools, like microarrays, to analyze metabolic adaptations induced by variations in nutritional status. Here we describe how transcriptional regulation patterns caused by nutritional changes can be identified using gene expression profiling. This includes technical remarks on microarray analysis and data processing, as well as giving biological meaning to statistically solid data. We highlight our recent findings of transcriptional regulation of genes representing specific signaling and metabolic pathways in mouse liver under starvation. The results show strong correlations to previously identified responses to caloric restriction, which can be linked to lifespan extension.

Amino Acids↗

Genetical genomics in humans and model organisms.

Genetical genomics has been proposed to map loci controlling gene-expression differences (eQTLs) that might underlie functional trait variation. We briefly review the studies in model species and conclude that, although they successfully demonstrate the utility of genetical genomics, they are too limited to unlock the full potential of this approach and some results should be interpreted with caution. We subsequently elaborate on two recent studies that use this approach in humans. The many differences between these studies complicate meaningful comparisons between them. A joint analysis of the two experiments offers some scope for more powerful genetical genomics.

Animals↗

Emerging technologies in yeast genomics.

The genomic revolution is undeniable: in the past year alone, the term 'genomics' was found in nearly 500 research articles, and at least 6 journals are devoted solely to genomic biology. More than just a buzzword, molecular biology has genuinely embraced genomics (the systematic, large-scale study of genomes and their functions). With its facile genetics, the budding yeast Saccharomyces cerevisiae has emerged as an important model organism in the development of many current genomic methodologies. These techniques have greatly influenced the manner in which biology is studied in yeast and in other organisms. In this review, we summarize the most promising technologies in yeast genomics.

Binding Sites↗

A novel, sensitive detection system for high-density microarrays using dendrimer technology.

To improve signal detection on cDNA microarrays, we adapted a fluorescent oligonucleotide dendrimeric signal amplification system to microarray technology. This signal detection method requires 16-fold less RNA for probe synthesis, does not depend on the incorporation of fluorescent dNTPs into a reverse transcription reaction, generates a high signal-to-background ratio, and can be used to allow for multichannel detection on a single chip. Furthermore, since the dendrimers can be detected individually, it may be possible, by employing dendrimer-binding standards, to calculate the numbers of bound cDNAs can be estimated. These features make the dendrimer signal detection reagent ideal for high-throughput functional genomics research.

Biotechnology↗

SpacerScope: binary-vectorized, genome-wide off-target profiling for RNA-guided nucleases without prior candidate-site bias.

The precision of CRISPR/Cas systems is fundamental to their application in plant and animal biotechnology. However, comprehensive sequence-based off-target candidate discovery remains a computational bottleneck, particularly in large and complex genomes. Here we developed SpacerScope, an off-target candidate discovery framework that enables unbiased, genome-wide discovery by leveraging binary vectorization, bitwise filtering, and right-end-anchored alignment. Benchmarking against human CIRCLE-seq data demonstrated that SpacerScope recovered 100% of validated off-target sites (6142/6142), matching the sensitivity of exhaustive algorithms. Crucially, SpacerScope achieved this maximum candidate recovery while substantially reducing computational overhead. In large-genome evaluations, SpacerScope maintained low peak memory usage of 2.20 GiB and achieved substantial runtime improvements over indel-aware comparator tools, including more than 50-fold speedup relative to Cas-OFFinder 3 (544&#xa0;s versus 29&#xa0;185&#xa0;s). Furthermore, comparative analyses in polyploid species, such as the octoploid strawberry, revealed that SpacerScope identified larger sequence-compatible candidate burdens than standard web-based design platforms. Our results establish SpacerScope as a high-speed framework for sequence-based genome-wide off-target candidate discovery across diverse and highly repetitive genomic landscapes. The source code and program was publicly available at https://github.com/charlesqu666/SpacerScope. Short Abstract CRISPR/Cas sequence-based off-target candidate discovery remains computationally challenging in large, repetitive, and polyploid genomes. Existing tools either miss indel-containing candidate sites or incur prohibitive runtime and memory costs. We developed SpacerScope, a binary-vectorized framework that enables unbiased, genome-wide off-target candidate discovery without pre-selected candidate sites. By integrating bitwise filtering with right-end-anchored alignment, SpacerScope recovered 100% of validated off-target sites in human CIRCLE-seq data while using only 2.20 GiB of memory and achieving more than 10-fold speedup over indel-aware alternatives. Evaluation in plant genomes, including rice and octoploid strawberry, further demonstrated SpacerScope's capacity to identify larger sequence-compatible candidate burdens overlooked by standard tools. SpacerScope thus provides a high-speed framework for sequence-based genome-wide off-target candidate discovery across diverse and highly repetitive genomic landscapes, supporting downstream prioritization.

CRISPR-Cas Systems↗

Functional and genomic changes in the mouse ocular motor system in response to light deprivation from birth.

Previous studies have suggested that abnormal visual experience early in life induces ocular motor abnormalities. The purpose of this study was to determine how visual deprivation alters the function and gene expression profile of the ocular motor system in mice. We measured the effect of dark rearing on eye movements, gene expression in the oculomotor nucleus, and contractility of isolated extraocular muscles. In vivo eye movement recordings showed decreased gains for optokinetic and vestibulo-ocular reflexes, confirming an effect of dark rearing on overall ocular motor function. Saccade peak velocities were preserved, however, arguing that the quantitative changes in these reflexes were not secondary to limitations in force generation. Using microarrays and quantitative PCR, we found that dark rearing shifted the oculomotor nucleus transcriptome to a state of delayed/arrested development. The expression of 132 genes was altered by dark rearing; these genes fit in various functional categories (signal transduction, transcription/translation control, metabolism, synaptic function, cytoskeleton), and some were known to be associated with neuronal development and plasticity. Extraocular muscle contractility was impaired by dark rearing to a greater extent than expected from the in vivo ocular motility studies: changes included decreased force and shortening speed and evidence of abnormal excitability. The results indicate that normal development of the mouse ocular motor system and its muscles requires visual experience. The transcriptional pattern of arrested development may indicate that vision is required to establish the adult pattern, but it also may represent the plastic response of oculomotor nuclei to abnormal extraocular muscles.

Animals↗

Buccal cells as a source of DNA for comparative animal genomic analysis.

The source of DNA of adequate quality and quantity is an important consideration in genome analysis. In many animal and livestock species, easy access to DNA will facilitate the rapid and reliable genotyping of a large number of individual individuals. Here, we describe the use, for the first time, of buccal cells from non-human mammalian species as a source of DNA template for PCR and restriction analysis. The buccal cells from the pig, cow and human, were used to amplify PCR fragments that were scanned SNPs and for comparative genome analysis. The work indicates that buccal cells are also adequate sources of DNA for genome analysis of animals that have been identified as priorities in comparative genomics.

Animals↗

Mining the human genome using microarrays of open reading frames.

To test the hypothesis that the human genome project will uncover many genes not previously discovered by sequencing of expressed sequence tags (ESTs), we designed and produced a set of microarrays using probes based on open reading frames (ORFs) in 350 Mb of finished and draft human sequence. Our approach aims to identify all genes directly from genomic sequence by querying gene expression. We analysed genomic sequence with a suite of ORF prediction programs, selected approximately one ORF per gene, amplified the ORFs from genomic DNA and arrayed the amplicons onto treated glass slides. Of the first 10,000 arrayed ORFs, 31% are completely novel and 29% are similar, but not identical, to sequences in public databases. Approximately one-half of these are expressed in the tissues we queried by microarray. Subsequent verification by other techniques confirmed expression of several of the novel genes. Expressed sequence tags (ESTs) have yielded vast amounts of data, but our results indicate that many genes in the human genome will only be found by genomic sequencing.

Cell Line↗

FLIGHT: database and tools for the integration and cross-correlation of large-scale RNAi phenotypic datasets.

FLIGHT (www.flight.licr.org) is a new database designed to help researchers browse and cross-correlate data from large-scale RNAi studies. To date, the majority of these functional genomic screens have been carried out using Drosophila cell lines. These RNAi screens follow 100 years of classical Drosophila genetics, but have already revealed their potential by ascribing an impressive number of functions to known and novel genes. This has in turn given rise to a pressing need for tools to simplify the analysis of the large amount of phenotypic information generated. FLIGHT aims to do this by providing users with a gene-centric view of screen results and by making it possible to cluster phenotypic data to identify genes with related functions. Additionally, FLIGHT provides microarray expression data for many of the Drosophila cell lines commonly used in RNAi screens. This, together with information about cell lines, protocols and dsRNA primer sequences, is intended to help researchers design their own cell-based screens. Finally, although the current focus of FLIGHT is Drosophila, the database has been designed to facilitate the comparison of functional data across species and to help researchers working with other systems navigate their way through the fly genome.

Animals↗