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The peptidomics concept.

Peptides are a paramount example of how nature diversifies from one single gene to release multiple, regulated functionalities at the desired sites and time. To achieve this, peptides are sequentially generated by a complex network of more than 500 proteases, acting at intracellular sites, upon secretion, in extracellular environments, and, finally, serving (regulated) degradation. This cycle of maturation, activation, and degradation points out that the peptidome is mechanistically linked to the proteome: the distribution between both is regulated by proteases and counter-regulated by protease inhibitors. Given the high diversity of peptides in living systems and their involvement in key regulatory processes, a need for improved peptide discovery, ideally combining peptide sequence identification with peptide profiling, has emerged. Standard proteomic approaches are not suitable for a systematic peptide analysis, since they do not cover the low molecular mass window. The new direction in proteomic research to analyse this "terra incognita" is peptidomics. This novel concept aims at the comprehensive visualization and analysis of small polypeptides, thus covering the mass range between proteomics and metabonomics. The pacemakers for the development of peptidomics technologies are modern mass spectrometry and bioinformatics. They are ideally suited for sensitive and comprehensive peptide analysis, especially in combination with the massive information content of today's genomic and transcriptomic databases. Given the high diversity of native peptides in living systems, clinical chemistry and modern medicine are the prime application areas. The discovery of relevant peptide biomarkers and drug targets will strongly benefit from peptidomics.

Animals↗

CAGE Basic/Analysis Databases: the CAGE resource for comprehensive promoter analysis.

Cap-analysis gene expression (CAGE) Basic and Analysis Databases store an original resource produced by CAGE, which measures expression levels of transcription starting sites by sequencing large amounts of transcript 5' ends, termed CAGE tags. Millions of human and mouse high-quality CAGE tags derived from different conditions in >20 tissues consisting of >250 RNA samples are essential for identification of novel promoters and promoter characterization in the aspect of expression profile. CAGE Basic Database is a primary database of the CAGE resource, RNA samples, CAGE libraries, CAGE clone and tag sequences and so on. CAGE Analysis Database stores promoter related information, such as counts of related transcripts, CpG islands and conserved genome region. It also provides expression profiles at base pair and promoter levels. Both databases are based on the same framework, CAGE tag starting sites, tag clusters for defining promoters and transcriptional units (TUs). Their associations and TU attributes are available to find promoters of interest. These databases were provided for Functional Annotation Of Mouse 3 (FANTOM3), an international collaboration research project focusing on expanding the transcriptome and subsequent analyses. Now access is free for all users through the World Wide Web at http://fantom3.gsc.riken.jp/.

Animals↗

Molecular cytogenetic characterization of non-Hodgkin lymphoma cell lines.

Spectral karyotyping (SKY) and comparative genomic hybridization (CGH) have greatly enhanced the resolution of cytogenetic analysis, enabling the identification of novel regions of rearrangement and amplification in tumor cells. Here we report the analysis of 10 malignant non-Hodgkin lymphoma (NHL) cell lines derived at the Ontario Cancer Institute (OCI), Toronto, designated as OCI-Ly1, OCI-Ly2, OCI-Ly3, OCI-LY4, OCI-Ly7, OCI-Ly8, OCI-Ly12, OCI-Ly13.2, OCI-Ly17, and OCI-Ly18, by G-banding, SKY, and CGH, and we present their comprehensive cytogenetic profiles. In contrast to the 52 breakpoints identified by G-banding, SKY identified 87 breakpoints, which clustered at 1q21, 7p15, 8p11, 13q21, 13q32, 14q32, 17q11, and 18q21. G-banding identified 10 translocations, including the previously described recurring translocations, t(8;14)(q24;q32) and t(14;18)(q32;q21). In contrast, SKY identified 60 translocations, including five that were recurring, t(8;14)(q24;q32), t(14;18)(q32;q21), t(4;7)(p12;q22), t(11;18)(q22;q21), and t(3;18)(q21;p11). SKY also identified the source of all the marker chromosomes. In addition, 10 chromosomes that were classified as normal by G-banding were found by SKY to be rearranged. CGH identified seven sites of high-level DNA amplification, 1q31-32, 2p12-16, 8q24, 11q23-25, 13q21-22, 13q32-34, and 18q21-23; of these, 1q31-32, 11q23-25, 13q21-22, and 13q32-34 have previously not been described as amplified in NHL. This comprehensive cytogenetic characterization of 10 NHL cell lines identified novel sites of rearrangement and amplification; it also enhances their value in experimental studies aimed at gene discovery and gene function.

Chromosome Aberrations↗

Genome-wide high-resolution mapping and functional analysis of DNA methylation in arabidopsis.

Cytosine methylation is important for transposon silencing and epigenetic regulation of endogenous genes, although the extent to which this DNA modification functions to regulate the genome is still unknown. Here we report the first comprehensive DNA methylation map of an entire genome, at 35 base pair resolution, using the flowering plant Arabidopsis thaliana as a model. We find that pericentromeric heterochromatin, repetitive sequences, and regions producing small interfering RNAs are heavily methylated. Unexpectedly, over one-third of expressed genes contain methylation within transcribed regions, whereas only approximately 5% of genes show methylation within promoter regions. Interestingly, genes methylated in transcribed regions are highly expressed and constitutively active, whereas promoter-methylated genes show a greater degree of tissue-specific expression. Whole-genome tiling-array transcriptional profiling of DNA methyltransferase null mutants identified hundreds of genes and intergenic noncoding RNAs with altered expression levels, many of which may be epigenetically controlled by DNA methylation.

Arabidopsis↗

Survey of microarray technologies suitable to elucidate transcriptional networks as exemplified by studying KRAB zinc finger gene families.

Current microarray systems are suitable to monitor genome-wide expression patterns, to detect single-nucleotide polymorphisms (SNP), to identify target genes of transcription factors and DNA-protein interaction sites thereof as well as to determine genomic sites that are modified by methylation of CpG islands. In this review, advantages and limitations of individual microarray technologies are presented as well as experiences from ongoing studies on KRAB zinc finger gene families are taken to exemplify how different microarray approaches are applicable to elucidate complex transcriptional networks of gene regulation. However, bioinformaticians should be aware that each microarray technology has limitations in its sensitivity and selectivity that has to be taken into account once data mining on comprehensive genome-wide microarray data is conducted. In many cases, microarray results are the initial step to identify target genes of interest and to study the molecular regulation of biological processes thereof followed and validated by complementary proteome, metabolome or toponome analysis. Thus, microarray technologies can be considered a reliable approach for determining gene functions that might be modulated by electromagnetic fields.

Gene Expression Profiling↗

Validation of mRNA/EST-based gene predictions in human Xp11.4 revealed differences to the organization of the orthologous mouse locus.

Careful manual annotation of the human reference sequence provides a solid basis for the identification of disease-associated genes. Toward this end, we focused on a medically relevant 2.6-Mb region of the human chromosome Xp11.4 between markers DXS9851 and DXS9751 and identified 16 transcription units according to the Vertebrate Genome Annotation (Vega) rules. In order to validate these annotations, we performed a comprehensive RT-PCR expression analysis and a human-mouse comparison. This revealed, despite the high overall genomic conservation of the region, remarkable differences of the gene content between human and mouse. Whereas 12 of 16 annotations were confirmed by RT-PCR in human tissues, for only seven genes mouse orthologs could be identified and found to be expressed. This indicates that a comprehensive and experimentally supported annotation effort of the human genome simultaneously highlights regions with striking differences in gene organization to other species and may indicate evolutionary events specific to the human lineage demanding further functional analyses.

Animals↗

Complementary profiling of gene expression at the transcriptome and proteome levels in Saccharomyces cerevisiae.

Using an integrated genomic and proteomic approach, we have investigated the effects of carbon source perturbation on steady-state gene expression in the yeast Saccharomyces cerevisiae growing on either galactose or ethanol. For many genes, significant differences between the abundance ratio of the messenger RNA transcript and the corresponding protein product were observed. Insights into the perturbative effects on genes involved in respiration, energy generation, and protein synthesis were obtained that would not have been apparent from measurements made at either the messenger RNA or protein level alone, illustrating the power of integrating different types of data obtained from the same sample for the comprehensive characterization of biological systems and processes.

Databases as Topic↗

Comparative expression analysis of two paralogous Hsp70s in rainbow trout cells exposed to heat stress.

Heat-shock protein 70 (Hsp70) is the major stress-inducible protein in vertebrates and highly conserved throughout evolution. To accurately investigate the mRNA expression profiles of multiple Hsp70s in rainbow trout Oncorhynchus mykiss, we isolated full-length cDNA clones encoding Hsp70 from the fish and investigated their mRNA expression profiles during heat stress. Consequently, two Hsp70s, Hsp70a and Hsp70b, were identified and found to have 98.1% identity in their deduced amino acid sequences. Southern blot analysis indicated that the two Hsp70s are encoded by distinct genes in the genome. Northern blot analysis showed that each of Hsp70a and Hsp70b expressed two mRNA species having different sizes by heat stress in rainbow trout RTG-2 cells. The induction levels of total Hsp70b mRNAs were consistently higher than Hsp70a counterparts during heat stress, although the expression profiles of the two genes were similar to each other in temperature shift and time course experiments. Interestingly, an mRNA species with a larger molecular size was expressed only under severe heat stress not less than 28 degrees C irrespective of Hsp70a and Hsp70b. These results suggest that the comprehensive identification of duplicated genes is a prerequisite to examining the gene expression profiles for tetraploid species such as rainbow trout.

Animals↗

Gene expression profiles during human CD4+ T cell differentiation.

To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production.

Antigens, CD↗

Recent advances in prevention and treatment of hepatitis C virus infections.

Hepatitis C virus (HCV) is the leading cause of chronic hepatitis in humans. As members of the flavivirus family, HCVs are a group of small single-stranded, positive-sense RNA viruses. Upon translation of the genome, a polyprotein precursor is synthesized and further processed by both cellular and viral proteases to generate functional viral proteins. Treatment options are currently limited to the administration of alpha-interferon alone or in combination with ribavirin. Unfortunately, these approaches are characterized by relatively poor efficacy and an unfavorable side-effect profile. Therefore, intensive effort is directed at the discovery of novel molecules to treat this disease. These new approaches include the development of prophylactic and therapeutic vaccines, the identification of interferons with improved pharmacokinetic characteristics, and the discovery of novel drugs designed to inhibit the function of three major viral proteins: protease, helicase and polymerase. Finally, the HCV RNA genome itself, particularly the IRES element, is being actively exploited as an antiviral target using antisense molecules and catalytic ribozymes. This review summarizes the most recent findings in each of these areas. Although not intended to be comprehensive, it should serve as a first resource for those individuals who desire updated information in this rapidly changing field.

Animals↗

Recent advances in prevention and treatment of hepatitis C virus infections.

Hepatitis C virus (HCV) is the leading cause of chronic hepatitis in humans. As members of the flavivirus family, HCVs are a group of small single-stranded, positive-sense RNA viruses. Upon translation of the genome, a polyprotein precursor is synthesized and further processed by both cellular and viral proteases to generate functional viral proteins. Treatment options are currently limited to the administration of alpha-interferon alone or in combination with ribavirin. Unfortunately, these approaches are characterized by relatively poor efficacy and an unfavorable side-effect profile. Therefore, intensive effort is directed at the discovery of novel molecules to treat this disease. These new approaches include the development of prophylactic and therapeutic vaccines, the identification of interferons with improved pharmacokinetic characteristics, and the discovery of novel drugs designed to inhibit the function of three major viral proteins: protease, helicase and polymerase. Finally, the HCV RNA genome itself, particularly the IRES element, is being actively exploited as an antiviral target using antisense molecules and catalytic ribozymes. This review summarizes the most recent findings in each of these areas. Although not intended to be comprehensive, it should serve as a first resource for those individuals who desire updated information in this rapidly changing field.

Animals↗

Comprehensive Analysis of miRNAs and Predicted Protein Interaction Networks in Skeletal Muscle Development of Myostatin-Deficient Rabbits.

Myostatin (MSTN), encoded by the MSTN gene, is a critical negative regulator of skeletal muscle mass. This study aims to identify and characterize the miRNAs involved in the development of the double-muscling phenotype in MSTN-deficient rabbits. We performed high-throughput sequencing to analyze the miRNA expression profiles in gluteus maximus tissue from wild type (MSTN+/+) and MSTN-KO (MSTN+/- and MSTN-/- inclusive) rabbits. Differentially expressed miRNAs (DEmiRNAs) were identified, and their potential target genes were predicted. Functional enrichment analysis of these target mRNAs was conducted using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to elucidate the involved biological pathways and regulatory networks. A total of 25 DEmiRNAs (13 downregulated and 12 upregulated, |log2FC|&#x2009;&#x2265;&#x2009;1.0, adjusted p&#x2009;<&#x2009;0.05) and 1178 differentially expressed mRNAs (408 upregulated and 770 downregulated, |log2FC|&#x2009;&#x2265;&#x2009;2.0, adjusted p&#x2009;<&#x2009;0.05) were identified in MSTN-KO compared to MSTN+/+ rabbits. Bioinformatics analysis revealed that the target genes of these DEmiRNAs were significantly enriched in key pathways governing muscle growth and metabolism, including the PI3K-Akt signaling pathway, MAPK signaling pathway, and pathways related to ECM-receptor interaction and insulin signaling. Notably, many predicted target mRNAs are expressed by genes that encode key inhibitors of myogenesis (e.g., HDAC4) and major extracellular matrix components (e.g., COL4A3, POSTN). Our results demonstrate that MSTN deficiency induces a distinct and widespread change in the miRNA expression landscape of skeletal muscle.

Animals↗

Comprehensive search for cysteine cathepsins in the human genome.

Our study was aimed at examinating whether or not the human genome encodes for previously unreported cysteine cathepsins. To this end, we used analyses of the genome sequence and mRNA expression levels. The program TBLASTN was employed to scan the draft sequence of the human genome for the 11 known cysteine cathepsins. The cathepsin-like segments in the genome were inspected, filtered, and annotated. In addition to the known cysteine cathepsins, the scan identified three pseudogenes, closely related to cathepsin L, on chromosome 10, as well as two remote homologs, tubulointerstitial protein antigen and tubulointerstitial protein antigen-related protein. No new members of the family were identified. mRNA expression profiles for 10 known human cysteine cathepsins showed varying expression levels in 46 different human tissues and cell lines. No expression of any of the three cathepsin L-like pseudogenes was found. Based on these results, it is likely that to date all human cysteine cathepsins are known.

Cathepsins↗

Expression profile of mRNAs from rat hippocampus and its application to microarray.

Stress refers to physiological or psychological stimuli that disrupt homeostasis and induce pathophysiological conditions due to maladaptive response, sometimes resulting in mental disorders including depression and post-traumatic stress disorder. Severe stress has been shown to induce neuronal atrophy and apoptosis, especially in the hippocampus, which is thought to be a region of the brain important in stress-related disorders. We have analyzed gene expression in rat hippocampus comprehensively to clarify the molecular mechanism of stress-related disorders. In the present study, we identified and catalogued 13,660 partial complementary DNA sequences (expressed sequence tags (ESTs)) of randomly selected clones from a cDNA library of rat hippocampus. Sequence analysis showed that these clones cluster into 7173 non-redundant sequences comprising 1794 clusters and 5379 singletons. As a result of nucleotide and peptide database search, 2594 were found to represent known rat sequences. Of the remaining 4579 genes, 599 non-redundant ESTs represent rat homologs of genes identified in other species or new members of structurally related families. In addition, we illustrate the use of these clone sets by constructing a cDNA microarray focused on genes categorized into "cell/organism defense". These ESTs and our own microarray thus provide an improved genomic source for molecular studies of animal models of stress-related disorders.

Animals↗

Have microarrays failed to deliver for developmental biology?

Comprehensive microarrays covering large numbers of the predicted expressed transcripts for some invertebrates and vertebrates have been available for some time. Despite predictions that this technology will transform biology, to date there have been few published studies using microarrays to generate novel insights in developmental biology.

Animals↗

A genome-based approach to study the mechanisms by which cell-wall type is defined and constructed by the collaborative actions of cell-wall-related enzymes.

The cellulose/xyloglucan framework underpins the cell wall of most flowering plants, and the processes of construction and restructuring of this framework are considered to be mediated by several different classes of enzymes such as cellulose synthetases, beta-1,4 glucanases, xyloglucan endotransglucosylases/hydrolases (XTH) and expansins. The Arabidopsis sequencing project has revealed that these enzymes are encoded, without exception, by large multi-gene families. Comprehensive expression-analyses of the XTH gene family, as assisted by real-time RT-PCR procedure, have revealed that each member of the gene family exhibits an expression profile distinct from the other members. The results obtained thus far support the idea that each member of the XTHgene family is regulated specifically by different sets of plant hormones and is committed to a certain specific process in a specific tissue, at specific stages of development. Based on these considerations, we advance a hypothesis that the cell wall in a certain cell-type is constructed, maintained and restructured by a series of collaborative actions of a set of enzymes that are characteristic of the cell-wall type. This hypothesis assumes that a master gene, specific for each cell type, conducts a set of enzymes required for certain types of cell-wall structure and, thereby, defines the cell-wall type and, hence, cell type, during the process of plant development.

Journal Article↗

Large-scale simulation of coverage and error rate tradeoffs for cancer detection in cell-free DNA whole-genome sequencing.

MOTIVATION: Cell-free DNA (cfDNA) whole-genome sequencing (WGS) is a promising approach for detecting cancer recurrence. It enables cancer detection by identifying all tumor-derived cfDNA (ctDNA) molecules carrying somatic single nucleotide variants (sSNVs). While ideally, a sequencing platform should be highly accurate for reliable ctDNA detection, in reality, all sequencing platforms introduce sequencing errors that generate false positives indistinguishable from true SNVs. Understanding how sequencing parameters influence ctDNA detection sensitivity at low tumor fractions (TFs) in cfDNA samples is essential for guiding sequencing strategies in clinical contexts. To model cfDNA sequencing for tumor detection, which contains asymmetric noise and multiple interacting parameters, analytical modeling is intractable, motivating large-scale parallelized simulation. RESULTS: We developed a simulation framework to generate in silico cfDNA data across 10 cancer types. In total, 480 million cfDNA samples were simulated from tumor WGS profiles. Overall, the lowest detectable TF differs substantially between cancer types under identical sequencing conditions due to variations in mutational load. For cancers with high mutational load, 3&#xd7; coverage with low-error techniques reliably detects TFs below 0.1%. In contrast, cancers with low mutational load require at least six-fold higher coverage to achieve comparable detection thresholds. Increasing sequencing quality scores from Q30 to Q55 at 30&#xd7; coverage further enhances sensitivity, enabling detection of TFs as low as 1&#x2009;&#xd7;&#x2009;10-5. This study provides a comprehensive framework for optimizing sequencing parameters, offering valuable guidance for tailoring future technology development for specific cancer types and clinical applications. AVAILABILITY AND IMPLEMENTATION: The code is publicly available at https://github.com/UMCUGenetics/cfdetect/tree/main.

Whole Genome Sequencing↗

Comprehensive analyses of a large human gut Bacteroidales culture collection reveal species- and strain-level diversity and evolution.

Species of the Bacteroidales order are among the most abundant and stable bacterial members of the human gut microbiome, with diverse impacts on human health. We cultured and sequenced the genomes of 408 Bacteroidales isolates from healthy human donors representing nine genera and 35 species and performed comparative genomic, gene-specific, metabolomic, and horizontal gene transfer analyses. Families, genera, and species could be grouped based on many distinctive features. We also observed extensive DNA transfer between diverse families, allowing for shared traits and strain evolution. Inter- and intra-species diversity is also apparent in the metabolomic profiling studies. This highly characterized and diverse Bacteroidales culture collection with strain-resolved genomic and metabolomic analyses represents a valuable resource to facilitate informed selection of strains for microbiome reconstitution.

Humans↗