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The importance of databases as a research tool in molecular biology is growing steadily, and a wide range of databases relevant to genome research is currently available. However, the design of current databases is inadequate for accurate representation and analysis of the results of large-scale genome mapping and sequencing projects. A new generation of databases is required to master the challenges of the future.
A simple model based on a master equation is constructed in order to reveal the details of the mutational events modifying simple sequence repeats in the human genome, A database of simple repeats together with their flanking sequences comprising approximately 10(5) entries from all 24 human chromosomes was constructed. By aligning the pairs of fragments of sequences containing the repeat elements, the matrices that count the number of slippage events were evaluated. The counts were then used as a target to be reproduced by our theoretical model, in which the elongation and shortening of the repeats proceed through a mechanism in which the step lengths exhibit a decaying distribution in the form of an inverse power law rather than through one nucleotide extension or deletion, which was the most frequent supposition in previous studies.
The human genome is thought to contain about 80,000 genes and presently only 3,000 are known to be implicated in genetic diseases. In the near future, the entire sequence of the human genome will be available and the development of new methods for point mutation detection will lead to a huge increase in the identification of genes and their mutations associated with genetic diseases as well as cancers, which is growing in frequency in industrial states. The collection of these mutations will be critical for researchers and clinicians to establish genotype/phenotype correlations. Other fields such as molecular epidemiology will also be developed using these new data. Consequently, the future lies not in simple repositories of locus-specific mutations but in dynamic databases linked to various computerized tools for their analysis and that can be directly queried on-line. To meet this goal, we devised a generic software called UMD (Universal Mutation Database). It was developed as a generic software to create locus-specific databases (LSDBs) with the 4(th) Dimension(R) package from ACI. This software includes an optimized structure to assist and secure data entry and to allow the input of various clinical data. Thanks to the flexible structure of the UMD software, it has been successfully adapted to nine genes either involved in cancer (APC, P53, RB1, MEN1, SUR1, VHL, and WT1) or in genetic diseases (FBN1 and LDLR). Four new LSDBs are under construction (VLCAD, MCAD, KIR6, and COL4A5). Finally, the data can be transferred to core databases.
Here we report the rapid identification of the proteins of the spliceosomal U1 small nuclear ribonucleoprotein (snRNP) from the yeast Saccharomyces cerevisiae by searching mass spectrometric data in genomic sequence databases. The U1 snRNP, containing a histidine-tagged 70K protein, was isolated from cell extracts by anti m3G-cap immunoaffinity and subsequent nickel nitrilotriacetic acid chromatography. A U1 snRNP fraction containing 20 proteins was obtained. Further purification by glycerol gradient centrifugation identified nine U1 snRNP specific and six common proteins. The U1 snRNP proteins were partially sequenced by nanoelectrospray mass spectrometry, and their genes were identified in the data base via multiple peptide sequence tags. Apart from the already known common proteins D1, D3, F, and G, the D2 and E homologs were also identified. The same six common proteins were detected in core U2 snRNP, which was purified and analyzed separately. The biochemical association of these six proteins with yeast snRNPs is shown here for the first time. Intriguingly, the Sm B/B' homolog was not detected. In addition to the well characterized yeast U1 specific proteins [U1-70K (Snp1p), U1-A (Mud1p), Prp39p, and Prp40p] the homolog of the U1-C protein was identified together with four additional novel U1 specific proteins, which are not found in mammalian U1. This is the first time that the components of a multiprotein complex from an organism with a sequenced genome have been characterized by mass spectrometry. The technique should be applicable to any protein complex that can be biochemically purified from an organism whose genome is known.
A simple and general homology-based method for gene finding was applied to the 2.9-Mb Drosophila melanogaster Adh region, the target sequence of the Genome Annotation Assessment Project (GASP). Each strand of the entire sequence was used as query of the BLOCKS+ database of conserved regions of proteins. This led to functional assignments for more than one-third of the genes and two-thirds of the transposons. Considering the enormous size of the query, the fact that only two false-positive matches were reported emphasizes the high selectivity of protein family-based methods for gene finding. We used the search results to improve BLOCKS+ by identifying compositionally biased blocks. Our results confirm that protein family databases can be used effectively in automated sequence annotation efforts.
We have used large-scale insertional mutagenesis to identify functional landmarks relevant to cancer in the recently completed mouse genome sequence. We infected Cdkn2a(-/-) mice with Moloney murine leukemia virus (MoMuLV) to screen for loci that can participate in tumorigenesis in collaboration with loss of the Cdkn2a-encoded tumor suppressors p16INK4a and p19ARF. Insertional mutagenesis by the latent retrovirus was synergistic with loss of Cdkn2a expression, as indicated by a marked acceleration in the development of both myeloid and lymphoid tumors. We isolated 747 unique sequences flanking retroviral integration sites and mapped them against the mouse genome sequence databases from Celera and Ensembl. In addition to 17 insertions targeting gene loci known to be cancer-related, we identified a total of 37 new common insertion sites (CISs), of which 8 encode components of signaling pathways that are involved in cancer. The effectiveness of large-scale insertional mutagenesis in a sensitized genetic background is demonstrated by the preference for activation of MAP kinase signaling, collaborating with Cdkn2a loss in generating the lymphoid and myeloid tumors. Collectively, our results show that large-scale retroviral insertional mutagenesis in genetically predisposed mice is useful both as a system for identifying genes underlying cancer and as a genetic framework for the assignment of such genes to specific oncogenic pathways.
The Physiome Project has the goal of providing the quantitative description of the integrated functions of the living organism. This is too large an undertaking to be begun all at once. What needs to be developed first are large comprehensive databases containing genomic, biochemical, anatomical and physiological information that can be searched and retrieved via the Internet. A more modest and achievable goal is the Cardiome Project, whose goal is to describe the functioning heart. Since it is impractical to develop this from the genetic and molecular level, we begin it as a multicenter collaborative effort at the level of the functioning organ. The work of Hunter, Noble, and others provides a central scheme, a description of the spread of excitation and contraction through an anatomically detailed cardiac model with fiber directions. This will be augmented by the additions of regional blood flows, substrate uptake and metabolism, and energy production and utilization in serving contraction and ionic balances. Later stages will involve cellular regulation and responses to interventions. The organization of such projects is by the assembling of components whose linkages one to another are first minimized and then augmented to improve the approximation to reality.
The Giardia lamblia cyst wall (CW), which is required for survival outside the host and infection, is a primitive extracellular matrix. Because of the importance of the CW, we queried the Giardia Genome Project Database with the coding sequences of the only two known CW proteins, which are cysteine-rich and contain leucine-rich repeats (LRRs). We identified five new LRR-containing proteins, of which only one (CWP3) is up-regulated during encystation and incorporated into the cyst wall. Sequence comparison with CWP1 and -2 revealed conservation within the LRRs and the 44-amino-acid N-flanking region, although CWP3 is more divergent. Interestingly, all 14 cysteine residues of CWP3 are positionally conserved with CWP1 and -2. During encystation, C-terminal epitope-tagged CWP3 was transported to the wall of water-resistant cysts via the novel regulated secretory pathway in encystation-secretory vesicles (ESVs). Deletion analysis revealed that the four LRRs are each essential to target CWP3 to the ESVs and cyst wall. In a deletion of the most C-terminal region, fewer ESVs were stained in encysting cells, and there was no staining in cysts. In contrast, deletion of the 44 amino acids between the signal sequence and the LRRs or the region just C-terminal to the LRRs only decreased the number of cells with CWP3 targeting to ESVs and cyst wall by approximately 50%. Our studies indicate that virtually every portion of the CWP3 protein is needed for efficient targeting to the regulated secretory pathway and incorporation into the cyst wall. Further, these data demonstrate the power of genomics in combination with rigorous functional analyses to verify annotation.
Despite the introduction of genome sequencing (GS) for rare disease diagnostics, a genetic cause is not identified in most patients. Here, we explored the potential of proteomics to improve the diagnostic yield in 424 patients with rare diseases from the 100,000 Genomes Project (100kGP) without a genetic diagnosis. Serum proteomic profiling was performed using the Olink Explore 1536 assay (N = 1463 proteins). For 13 patients without genetic diagnoses, detection of lower serum protein "outliers" (z-score < -2) led to confirmed genetic diagnoses by resolving variants of uncertain significance or prioritizing genes for targeted GS reanalysis. For 23 additional patients without genetic diagnoses (64% of findings), we identified candidate gene-disease links and variants through convergent evidence from lower protein outliers and variants ranked through the variant prioritization tool Exomiser. For example, we identified a candidate heterozygous missense variant [Genome Aggregation Database (gnomAD) minor allele frequency = 0.006%] in tyrosine kinase with immunoglobulin-like and epidermal growth factor homology domains 1 (TIE1) that was only present in a patient with lower TIE1 serum abundance (z-score = -5.12) and their father, both of whom were affected by the same monogenic cardiac disorder, but in no other individuals from the 100kGP. Missense (52.5%) and splice region (27.5%) variants accounted for most diagnostic or candidate variants prioritized. This proof-of-principle study demonstrated that serum proteomics can support rare disease diagnosis and identify disease-causing genes in patients undiagnosed after GS, although successful implementation will likely depend on tissue specificity of protein expression, detectability in blood, proteomic platform coverage, and sensitivity.
BACKGROUND: Mutations in the human NOD2/CARD15 gene have been associated with Crohn's disease and Blau syndrome. The objective of the present study was to clone the murine form of NOD2 and characterize its tissue distribution, function and response to inflammatory stimuli. METHODS: Murine NOD2 was isolated using anchored polymerize chain reaction (PCR). Sequence analysis confirmed the identification of full-length cDNA representing the murine NOD2 gene. Using this sequence to search a Mus musculus supercontig database, NOD2 genomic DNA was identified. NOD2 was transfected into human embryonic kidney (HEK) cells and nuclear factor kappa B (NF-kappaB) activation was measured using a reporter assay. Tissue distribution and changes in transcription in mouse monocytes in response to inflammatory stimuli was determined by real time PCR. RESULTS: The NOD2 gene spans 39 KB and contains 12 coding exons on chromosome 8. Expression of mouse NOD2 into HEK cells resulted in NF-kappaB activation. NOD2 was found to be expressed in all mouse tissues analyzed except skin, with highest levels in lung, thymus and spleen. NOD2 mRNA levels increased greater than two-fold in a monocyte cell line in response to lipopolysaccharide, lipoteichoic acid, interferon-g and tumor necrosis factor-alpha. CONCLUSIONS: Common structural and functional features between human and mouse NOD2 were identified. This should allow for development of relevant animal models to evaluate the role of NOD2 in chronic inflammatory disorders.
Erythritol is a noncariogenic, low calorie sweetener. It is safe for people with diabetes and obese people. Candida magnoliae is an industrially important organism because of its ability to produce erythritol as a major product. The genome of C. magnoliae has not been sequenced yet, limiting the available proteome database. Therefore, systematic approaches were employed to construct the proteome map of C. magnoliae. Proteomic analysis with systematic approaches is based on two-dimensional electrophoresis, matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS), tandem mass spectrometry (MS/MS) and database interrogation. First, 24 spots were analyzed using peptide mass fingerprinting along with MALDI-TOF MS with high mass accuracy. Only four spots were reliably identified as carbonyl reductase and its isoforms. The reason for low sequence coverage seemed to be that these identification strategies were based on the presence of the protein database obtained from the publicly accessible genome database and the availability of cross-species protein identification. MS/MS (MS/MS ion search and de novo sequencing) in combination with similarity searches allowed successful identification of 39 spots. Several proteins including transaldolase identified by MS/MS ion searches were further confirmed by partial sequences from the expressed sequence tag database. In this study, 51 protein spots were analyzed and then potentially identified. The identified proteins were involved in glycolysis, stress response, other essential metabolisms and cell structures.
Systematic analysis of degradomes, the complete protease repertoires of organisms, has demonstrated the large and growing complexity of proteolytic systems operating in all cells and tissues. We report here the identification of two new human metalloproteases that have been called archaemetzincin-1 (AMZ1) and archaemetzincin-2 (AMZ2) to emphasize their close relationship to putative proteases predicted by bioinformatic analysis of archaeal genomes. Both human proteins contain a catalytic domain with a core motif (HEXXHXXGX3CX4CXMX17CXXC) that includes an archetypal zinc-binding site, the methionine residue characteristic of metzincins, and four conserved cysteine residues that are not present at the equivalent positions of other human metalloproteases. Analysis of genome sequence databases revealed that AMZs are widely distributed in Archaea and vertebrates and contribute to the defining of a new metalloprotease family that has been called archaemetzincin. However, AMZ-like sequences are absent in a number of model organisms from bacteria to nematodes. Phylogenetic analysis showed that these enzymes have undergone a complex evolutionary process involving a series of lateral gene transfer, gene loss, and genetic duplication events that have shaped this novel family of metalloproteases. Northern blot analysis showed that AMZ1 and AMZ2 exhibit distinct expression patterns in human tissues. AMZ1 is mainly detected in liver and heart whereas AMZ2 is predominantly expressed in testis and heart, although both are also detectable at lower levels in other tissues. Both human enzymes were produced in Escherichia coli, and the purified recombinant proteins hydrolyzed synthetic substrates and bioactive peptides, demonstrating that they are functional proteases. Finally, these activities were abolished by inhibitors of metalloproteases, providing further evidence that AMZs belong to this catalytic class of proteolytic enzymes.
The Schizosaccharomyces pombe mei4(+) gene encoding a forkhead transcription factor is necessary for the progression of meiosis and sporulation. We searched for novel meiotic genes, the expression of which is dependent on Mei4p, since only the spo6(+) gene has been assigned to its targets. Six known genes responsible for meiotic recombination were examined by Northern blotting, but none were Mei4 dependent for transcription. We determined the important cis-acting element, designated FLEX, to which Mei4p can bind. The S. pombe genome sequence database (The Sanger Centre, UK) was scanned for the central core heptamer and its flanking 3' sequence of FLEX composed of 17 nucleotides, and 10 candidate targets of Mei4 were selected. These contained a FLEX-like sequence in the 5' upstream nontranslatable region within 1 kb of the initiation codon. Northern blotting confirmed that 9 of them, named mde1(+) to mde9(+), were transcriptionally induced during meiosis and were dependent on mei4(+). Most mde genes have not been genetically defined yet, except for mde9(+), which is identical to spn5(+), which encodes one of the septin family of proteins. mde3(+) and a related gene pit1(+) encode proteins related to Saccharomyces cerevisiae Ime2. The double disruptant frequently produced asci having an abnormal number and size of spores, although it completed meiosis. We also found that the forkhead DNA-binding domain of Mei4p binds to the FLEX-like element in the putative promoter region of mei4 and that the maximum induction level of mei4 mRNA required functional mei4 activity. Furthermore, expression of a reporter gene driven by the authentic mei4 promoter was induced in vegetative cells by ectopic overproduction of Mei4p. These results suggest that mei4 transcription is positively autoregulated.
BACKGROUND: Specific transcription factors (TFs) modulate cardiac gene expression in murine models of heart failure, but their relevance in human subjects remains untested. We developed and applied a computational approach called transcriptional genomics to test the hypothesis that a discrete set of cardiac TFs is associated with human heart failure. METHODS AND RESULTS: RNA isolates from failing (n=196) and nonfailing (n=16) human hearts were hybridized with Affymetrix HU133A arrays, and differentially expressed heart failure genes were determined. TF binding sites overrepresented in the -5-kb promoter sequences of these heart failure genes were then determined with the use of public genome sequence databases. Binding sites for TFs identified in murine heart failure models (MEF2, NKX, NF-AT, and GATA) were significantly overrepresented in promoters of human heart failure genes (P<0.002; false discovery rate 2% to 4%). In addition, binding sites for FOX TFs showed substantial overrepresentation in both advanced human and early murine heart failure (P<0.002 and false discovery rate <4% for each). A role for FOX TFs was supported further by expression of FOXC1, C2, P1, P4, and O1A in failing human cardiac myocytes at levels similar to established hypertrophic TFs and by abundant FOXP1 protein in failing human cardiac myocyte nuclei. CONCLUSIONS: Our results provide the first evidence that specific TFs identified in murine models (MEF2, NKX, NFAT, and GATA) are associated with human heart failure. Moreover, these data implicate specific members of the FOX family of TFs (FOXC1, C2, P1, P4, and O1A) not previously suggested in heart failure pathogenesis. These findings provide a crucial link between animal models and human disease and suggest a specific role for FOX signaling in modulating the hypertrophic response of the heart to stress in humans.
We present TIPP3 and TIPP3-fast, new tools for abundance profiling in metagenomic datasets. Like its predecessor, TIPP2, the TIPP3 pipeline uses a maximum likelihood approach to place reads into labeled taxonomies using marker genes, but it achieves superior accuracy to TIPP2 by enabling the use of much larger taxonomies through improved algorithmic techniques. We show that TIPP3 is generally more accurate than leading methods for abundance profiling in two important contexts: when reads come from genomes not already in a public database (i.e., novel genomes) and when reads contain sequencing errors. We also show that TIPP3-fast has slightly lower accuracy than TIPP3, but is also generally more accurate than other leading methods and uses a small fraction of TIPP3's runtime. Additionally, we highlight the potential benefits of restricting abundance profiling methods to those reads that map to marker genes (i.e., using a filtered marker-gene based analysis), which we show typically improves accuracy. TIPP3 is freely available at https://github.com/c5shen/TIPP3.
IMPORTANCE: MBD4 monoallelic germline pathogenic and likely pathogenic variants have recently been identified as predisposing to uveal melanoma, a rare primary intraocular tumor, with an estimated 9.15-fold increased risk of developing the disease for pathogenic variant carriers. OBJECTIVE: To assess the risk of developing uveal melanoma for carriers of the MBD4 monoallelic germline pathogenic variant. DESIGN, SETTING, AND PARTICIPANTS: In a case series involving 896 individuals, including 319 who were previously evaluated, germline target-sequencing of MBD4 was offered to every new patient with uveal melanoma at Curie Institute from February 2021 to September 2025. Non-Finnish European participants from the Genome Aggregation Database were used as a reference population. EXPOSURE: Diagnosis of uveal melanoma genetic predisposition. MAIN OUTCOMES AND MEASURES: Prevalence of MBD4 variants. RESULTS: A total of 23 of 896 patients were identified as carrying an MBD4 germline pathogenic or likely pathogenic variant, corresponding to a relative risk of 31.44 (95% CI, 18.18-53.00) of developing uveal melanoma compared with the general population (2-sided Fisher exact test, P < .001). CONCLUSIONS AND RELEVANCE: These findings confirm that MBD4 is an important predisposing gene to uveal melanoma in the French population. This reinforces a strategy of broad patient screening given the therapeutic implications and the consequences of genetic counseling.
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| ≥ 1.0, adjusted p < 0.05) and 1178 differentially expressed mRNAs (408 upregulated and 770 downregulated, |log2FC| ≥ 2.0, adjusted p < 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.
We mined the zebrafish genomic sequence database and identified contigs containing segments of several dopamine receptor genes. By using a polymerase chain reaction amplification strategy, we generated full-length cDNAs encoding a single dopamine D3 receptor and three distinct D2 receptor subtypes. Zebrafish dopamine receptor genes were mapped by using the T51 radiation hybrid panel. The D3 receptor gene (drd3) mapped to linkage group (LG) 24. The three D2 receptor genes were localized to LG 15 (drd2a), LG 16, (drd2b), and LG 5 (drd2c). With the exception of the drd2b gene, each of these map positions was syntenic with regions of human chromosomes containing orthologs of the zebrafish dopamine receptor genes. Whole-mount in situ hybridization was used to investigate expression of the D2 and D3 receptor genes. Expression of the drd3 gene was first detected at mid-somitogenesis and was particularly prominent in somites. Thereafter, the drd3 gene was expressed diffusely throughout the brain and spinal cord. The three D2 receptor genes were expressed throughout the central nervous system (CNS) in distinct but overlapping patterns. In early embryos, the drd2a gene was expressed exclusively in the epiphysis, whereas the drd2c gene was localized to the notochord. After 24 hpf, the drd2a, drd2b, and drd2c genes were differentially expressed throughout the CNS. The identification of dopamine receptor genes in zebrafish should allow us to use the power of zebrafish genetics to analyze the functional properties of this important class of neurotransmitter receptors.