The lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes.
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B-Lymphocytes↗
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Results for “Genomic profiling”
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Detection of a Rare Intra-ALK Inversion and ALK Rearrangement in a Lung Adenocarcinoma Patient by FoundationOne Liquid CDx and Successful Treatment with Alectinib: Case Report.
A 50-year-old woman with stage IVB lung adenocarcinoma tested negative for driver mutations using the Oncomine Dx Target Test Multi-CDx system (Thermo Fisher Scientific, Waltham, MA). After undergoing chemotherapy and immunotherapy, FoundationOne Liquid CDx (Foundation Medicine, Inc., Cambridge, MA) identified a rare EML4-ALK gene rearrangement. Treatment with alectinib led to rapid clinical improvement and sustained disease control for more than 7 months. This case highlights the value of next-generation sequencing-based profiling in detecting rare actionable alterations missed by standard tests. We also include a discussion on why the EML4-AKL fusion was not detected in the usual test.
ALK-EML4 rearrangement↗
Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.
We describe a comprehensive modeling approach to combining genomic and clinical data for personalized prediction in disease outcome studies. This integrated clinicogenomic modeling framework is based on statistical classification tree models that evaluate the contributions of multiple forms of data, both clinical and genomic, to define interactions of multiple risk factors that associate with the clinical outcome and derive predictions customized to the individual patient level. Gene expression data from DNA microarrays is represented by multiple, summary measures that we term metagenes; each metagene characterizes the dominant common expression pattern within a cluster of genes. A case study of primary breast cancer recurrence demonstrates that models using multiple metagenes combined with traditional clinical risk factors improve prediction accuracy at the individual patient level, delivering predictions more accurate than those made by using a single genomic predictor or clinical data alone. The analysis also highlights issues of communicating uncertainty in prediction and identifies combinations of clinical and genomic risk factors playing predictive roles. Implicated metagenes identify gene subsets with the potential to aid biological interpretation. This framework will extend to incorporate any form of data, including emerging forms of genomic data, and provides a platform for development of models for personalized prognosis.
Bayes Theorem↗
Genetical genomics in livestock: potentials and pitfalls.
Genetical genomics combines gene mapping and gene expression approaches to identify loci controlling gene expression (eQTLs) that may underlie functional trait variation. The combination of genomic tools has great potential to facilitate dissection of complex traits, but studies need careful design and interpretation. Here we explore both the potential and the pitfalls of this approach with illustrations from actual studies. There are now an appreciable number of studies in model species and even humans demonstrating the feasibility of genetical genomics. However, most studies are too limited in size and design to unlock the full potential of the approach. Limited statistical power of studies exacerbates the problem of detection of false-positive eQTL and some reported results should be interpreted with caution. As one approach to more successful implementation of genetical genomics, we propose to combine expression studies with fine mapping of functional trait loci. This synergistic approach facilitates the implementation of genetical genomics for species without inbred resources but is equally applicable to model species. These properties make it particularly suitable for livestock populations where many QTL are already in the public domain and potentially very large pedigreed populations can be accessed.
Animals↗
An integrated strategy for the optimization of microarray data interpretation.
The completion of a microarray experiment represents just a starting point toward understanding the biology of interest. A follow-up strategy is needed to fully elucidate the functional significance of microarray-derived measurements of differential expression. Given the fact that no single approach can fully unravel the fundamental biology that is typically quite complex, the follow-up strategy must be integrated at multiple levels encompassing bioinformatics, genomics, and proteomics. In this review, we discuss an integrative approach, which can be used to prioritize microarray-derived candidate genes, define their functions, and place them in the context of the biological system being studied.
Animals↗
Linkage disequilibrium and haplotype architecture for two ABC transporter genes (ABCC1 and ABCG2) in Chinese population: implications for pharmacogenomic association studies.
Information about linkage disequilibrium (LD) patterns and haplotype structures for candidate genes is instructive for the design and analysis of genetic association studies for complex diseases and drug response. ABCC1 and ABCG2 are genes coding for two multidrug resistance (MDR) associated transporters; they are also related to some pathophysiological traits. To pinpoint the LD profiles of these MDR genes in Chinese, we systemically screened 27 unrelated individuals for single nucleotide polymorphisms (SNPs) in the coding and regulatory regions of these genes, and thereby characterized their haplotype structures. Despite marked variations in haplotype diversity, LD pattern and intragenic recombination intensity between the two genes, both loci could be partitioned into several LD blocks, in which a modest number of haplotypes accounted for a high fraction of the sampled chromosomes. We concluded that each locus has its own genomic LD profile, but that they still share a common segmental LD architecture with low haplotype diversity. Our data will benefit genetic association studies of complex traits and drug response possibly related to these genes.
ATP Binding Cassette Transporter, Subfamily G, Mem↗
MREPATT: detection and analysis of exact consecutive repeats in genomic sequences.
UNLABELLED: We have developed a program to determine the number, length and position of exact consecutive repeats of short sequences in DNA fragments or whole genomes. The program also gives the statistical significance of results by comparing them with those expected for a random sequence generated according to a Markovian model. AVAILABILITY: MREPATT can be accessed on line at http://www.lsi.upc.es/~alggen under the RESEARCH and SEARCH links.
Algorithms↗
Genome-wide analysis of the biology of stress responses through heat shock transcription factor.
Heat shock transcription factor (HSF) and the promoter heat shock element (HSE) are among the most highly conserved transcriptional regulatory elements in nature. HSF mediates the transcriptional response of eukaryotic cells to heat, infection and inflammation, pharmacological agents, and other stresses. While HSF is essential for cell viability in Saccharomyces cerevisiae, oogenesis and early development in Drosophila melanogaster, extended life span in Caenorhabditis elegans, and extraembryonic development and stress resistance in mammals, little is known about its full range of biological target genes. We used whole-genome analyses to identify virtually all of the direct transcriptional targets of yeast HSF, representing nearly 3% of the genomic loci. The majority of the identified loci are heat-inducibly bound by yeast HSF, and the target genes encode proteins that have a broad range of biological functions including protein folding and degradation, energy generation, protein trafficking, maintenance of cell integrity, small molecule transport, cell signaling, and transcription. This genome-wide identification of HSF target genes provides novel insights into the role of HSF in growth, development, disease, and aging and in the complex metabolic reprogramming that occurs in all cells in response to stress.
Animals↗
Genome-wide screening for target regions of histone deacetylases in cardiomyocytes.
The acetylation status of core histones in cardiomyocytes has been linked to the development of cardiac hypertrophy and heart failure. Little is known, however, of the genes affected by abnormal histone acetylation in such pathological conditions. We recently developed a genome-wide screening method, differential chromatin scanning (DCS), to isolate genomic fragments associated with histones subject to differential acetylation. We have now applied DCS to H9C2 rat embryonic cardiomyocytes incubated with or without trichostatin A (TSA), a specific inhibitor of histone deacetylase (HDAC) activity. About 200 genomic fragments were readily isolated by DCS on the basis of the preferential acetylation of associated histones in TSA-treated cells. Quantitation of the amount of DNA in chromatin immunoprecipitates prepared with antibodies to acetylated histone H3 revealed that 37 of 38 randomly chosen DCS clones were preferentially precipitated from the TSA-treated cells, thus verifying the high fidelity of DCS. Epigenetic regulation of DCS clones was further confirmed in cells treated with sodium butyrate, another HDAC inhibitor, as well as in cardiac myocytes isolated from neonatal rats. The mRNA level of 9 (39%) of 23 genes corresponding to DCS clones changed in parallel with the level of histone acetylation in H9C2 cells. Furthermore, a physiological hypertrophic stimulus, cardiotrophin-1, affected the acetylation level of histones associated with genomic regions corresponding to certain DCS clones. Our data thus establish a genome-wide profile of HDAC targets in cardiomyocytes, which should provide a basis for further investigations into the role of epigenetic modification in cardiac disorders.
Acetylation↗
The current excitement in bioinformatics-analysis of whole-genome expression data: how does it relate to protein structure and function?
Whole-genome expression profiles provide a rich new data-trove for bioinformatics. Initial analyses of the profiles have included clustering and cross-referencing to 'external' information on protein structure and function. Expression profile clusters do relate to protein function, but the correlation is not perfect, with the discrepancies partially resulting from the difficulty in consistently defining function. Other attributes of proteins can also be related to expression-in particular, structure and localization-and sometimes show a clearer relationship than function.
Computational Biology↗
Integrative database analysis in structural genomics.
An important aspect of structural genomics is connecting coordinate data with whole-genome information related to phylogenetic occurrence, protein function, gene expression, and protein-protein interactions. Integrative database analysis allows one to survey the 'finite parts list' of protein folds from many perspectives, highlighting certain folds and structural features that stand out in particular ways.
Computational Biology↗
Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling.
In this study, we have used genome-wide expression profiling to categorise synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas (MFHs). Following hierarchical clustering analysis of the expression data, the best match between tumour clusters and conventional diagnosis was observed for synovial sarcomas. Eight of nine synovial sarcomas examined formed a cluster that was characterised by higher expression of a set of 48 genes. In contrast, sarcomas conventionally classified as leiomyosarcomas and MFHs did not match the clusters defined by hierarchical clustering analysis. One major cluster contained a mixture of both leiomyosarcomas and MFHs and was defined by the lower expression of a set of 202 genes. A cluster containing a subgroup of MFHs was also detected. These results may have implications for the classification of soft tissue sarcomas, and are consistent with the view that sarcomas conventionally defined as MFHs do not represent a separate diagnostic category.
Cluster Analysis↗
Profiling early infection responses: Pseudomonas aeruginosa eludes host defenses by suppressing antimicrobial peptide gene expression.
Insights into the host factors and mechanisms mediating the primary host responses after pathogen presentation remain limited, due in part to the complexity and genetic intractability of host systems. Here, we employ the model Drosophila melanogaster to dissect and identify early host responses that function in the initiation and progression of Pseudomonas aeruginosa pathogenesis. First, we use immune potentiation and genetic studies to demonstrate that flies mount a heightened defense against the highly virulent P. aeruginosa strain PA14 when first inoculated with strain CF5, which is avirulent in flies; this effect is mediated via the Imd and Toll signaling pathways. Second, we use whole-genome expression profiling to assess and compare the Drosophila early defense responses triggered by the PA14 vs. CF5 strains to identify genes whose expression patterns are different in susceptible vs. resistant host-pathogen interactions, respectively. Our results identify pathogenesis- and defense-specific genes and uncover a previously undescribed mechanism used by P. aeruginosa in the initial stages of its host interaction: suppression of Drosophila defense responses by limiting antimicrobial peptide gene expression. These results provide insights into the genetic factors that mediate or restrict pathogenesis during the early stages of the bacterial-host interaction to advance our understanding of P. aeruginosa-human infections.
Animals↗
Generation of longer 3' cDNA fragments from massively parallel signature sequencing tags.
Massively Parallel Signature Sequencing (MPSS) is a powerful technique for genome-wide gene expression analysis, which, similar to SAGE, relies on the production of short tags proximal to the 3'end of transcripts. A single MPSS experiment can generate over 10(7) tags, providing a 10-fold coverage of the transcripts expressed in a human cell. A significant fraction of MPSS tags cannot be assigned to known transcripts (orphan tags) and are likely to be derived from transcripts expressed at very low levels (approximately 1 copy per cell). In order to explore the potential of MPSS for the characterization of the human transcriptome, we have adapted the GLGI protocol (Generation of Longer cDNA fragments from SAGE tags for Gene Identification) to convert MPSS tags into their corresponding 3' cDNA fragments. GLGI-MPSS was applied to 83 orphan tags and 41 cDNA fragments were obtained. The analysis of these 41 fragments allowed the identification of novel transcripts, alternative tags generated from polymorphic and alternatively spliced transcripts, as well as the detection of artefactual MPSS tags. A systematic large-scale analysis of the genome by MPSS, in combination with the use of GLGI-MPSS protocol, will certainly provide a complementary approach to generate the complete catalog of human transcripts.
Alternative Splicing↗
The chromosome-level genome of Stylosanthes guianensis provides insights into genome evolution and environmental adaptation.
Stylosanthes guianensis is a leguminous forage crop of significant economic importance, primarily distributed in tropical and subtropical regions. It exhibits strong adaptability to various stresses, yet the genetic basis underlying this trait remains unclear. In this study, we constructed the first chromosome-scale reference genome of S. guianensis using a combination of Nanopore and Hi-C sequencing technologies. The assembled genome size is 1254 Mb, with 10 pseudochromosomes. Using Nanopore full-length transcriptome data, we generated high-quality transcript-level gene annotations, identifying 36 585 gene models and 110 601 transcripts. The repetitive sequences in S. guianensis account for 79.16% of the genome, with the extensive expansion of Gypsy elements in long terminal repeats contributing to its genome size enlargement. Comparative genomic and transcriptomic analyses revealed that flavonoid metabolism plays a pivotal role in stress adaptation, providing new insights into the genetic basis of stress tolerance. Additionally, we generated whole-genome methylation profiles under cold treatment and control conditions, offering valuable data for future epigenomic research. These findings provide essential molecular resources for understanding stress resilience in S. guianensis and advancing its molecular breeding.
Genome, Plant↗
Myelin tetraspan family proteins but no non-tetraspan family proteins are present in the ascidian (Ciona intestinalis) genome.
Several of the proteins used to form and maintain myelin sheaths in the central nervous system (CNS) and the peripheral nervous system (PNS) are shared among different vertebrate classes. These proteins include one-to-several alternatively spliced myelin basic protein (MBP) isoforms in all sheaths, proteolipid protein (PLP) and DM20 (except in amphibians) in tetrapod CNS sheaths, and one or two protein zero (P0) isoforms in fish CNS and in all vertebrate PNS sheaths. Several other proteins, including 2', 3'-cyclic nucleotide 3'-phosphodiesterase (CNP), myelin and lymphocyte protein (MAL), plasmolipin, and peripheral myelin protein 22 (PMP22; prominent in PNS myelin), are localized to myelin and myelin-associated membranes, though class distributions are less well studied. Databases with known and identified sequences of these proteins from cartilaginous and teleost fishes, amphibians, reptiles, birds, and mammals were prepared and used to search for potential homologs in the basal vertebrate, Ciona intestinalis. Homologs of lipophilin proteins, MAL/plasmolipin, and PMP22 were identified in the Ciona genome. In contrast, no MBP, P0, or CNP homologs were found. These studies provide a framework for understanding how myelin proteins were recruited during evolution and how structural adaptations enabled them to play key roles in myelination.
Amino Acid Sequence↗
Applying functional genomics research to the study of pig reproduction.
Functional genomics is an experimental approach that incorporates genome-wide or system-wide experimentation, expanding the scope of biological investigation from studying single genes to studying potentially all genes at once in a systematic manner. This technology is highly appealing because of its high throughput and relatively low cost. Furthermore, analysis of gene expression using microarrays is likely to be more biologically relevant than the conventional paradigm of reductionism, because it has the potential to uncover new biological connections between genes and biochemical pathways. However, functional genomics is still in its infancy, especially with regard to the study of pig reproduction. Currently, efforts are centred on developing the necessary resources to enable high throughput evaluation and comparison of gene expression. However, it is clear that in the near future functional genomics will be applied on a large scale to study the biology and physiology of reproduction in pigs, and to understand better the complex nature of genetic control over polygenic characteristics, such as ovulation rate and litter size. We can look forward to generating a significant amount of new data on differences in gene expression between genotypes, treatments, or at various temporal and spatial coordinates within a variety of reproductively relevant systems. Along with this capability will be the challenge of collating, analysing and interpreting datasets that are orders of magnitude more extensive and complex than those currently used. Furthermore, integration of functional genomics with traditional genetic approaches and with detailed analysis of the proteome and relevant whole animal phenotypes will be required to make full use of this powerful new experimental paradigm as a beneficial research tool.
Animals↗
Quantitative Profiling of Histone Variants and Posttranslational Modifications by Tandem Mass Spectrometry in Arabidopsis.
Histone dynamics constitute an important layer of gene regulations associated with development and growth in multicellular eukaryotes. They also stand as key determinants of plant responses to environmental changes. Histone dynamics include the exchange of histone variants as well as post-translational modifications of their amino acid residues (such as acetylation and mono/di/trimethylation), commonly referred to as histone marks. Investigating histone dynamics with a focus on combinatorial changes occurring at their residues will greatly help unravel how plants achieve phenotypic plasticity.Mass spectrometry (MS) analysis offers unequaled resolution of the abundance of histone variants and of their marks. Indeed, relative to other techniques such as western blot or genome-wide profiling, this powerful technique allows quantifying the relative abundances of histone forms, as well as revealing coexisting marks on the same histone molecule. Yet, while MS-based histone analysis has proven efficient in several animals and other model organisms, this method stands out as more challenging in plants. One major challenge is the isolation of sufficient amounts of pure, high-quality histones, likely rendered difficult by the presence of the cell wall, for sufficiently deep and resolutive identification of histone species.In this chapter, we describe a straightforward MS-based proteomic method, implemented to characterize histone marks from Arabidopsis thaliana seedling tissues and cell culture suspensions. After acid extraction of histones, in vitro propionylation of free lysine residues, and digestion with trypsin, a treatment at highly basic pH allows obtaining sharp spectral signals of biologically relevant histone peptide forms.The method workflow described here shall be used to measure changes in histone marks between Arabidopsis thaliana genotypes, along developmental time-courses, or upon various stresses and treatments.
Histones↗