Genes In Different Species Research Articles

Refining orthologue groups at the transcript level

BackgroundOrthologues are genes in different species that are related through divergent evolution from a common ancestor and are expected to have similar functions. Many databases have been created to describe orthologous genes based on existing sequence data. However, alternative splicing (in eukaryotes) is usually disregarded in the determination of orthologue groups and the functional consequences of alternative splicing have not been considered. Most multi-exon genes can encode multiple protein isoforms which often have different functions and can be disease-related. Extending the definition of orthologue groups to take account of alternate splicing and the functional differences it causes requires further examination.ResultsA subset of the orthologous gene groups between human and mouse was selected from the InParanoid database for this study. Each orthologue group was divided into sub-clusters, at the transcript level, using a method based on the sequence similarity of the isoforms. Transcript based sub-clusters were verified by functional signatures of the cluster members in the InterPro database. Functional similarity was higher within than between transcript-based sub-clusters of a defined orthologous group. In certain cases, cancer-related isoforms of a gene could be distinguished from other isoforms of the gene. Predictions of intrinsic disorder in protein regions were also correlated with the isoform sub-clusters within an orthologue group.ConclusionsSub-clustering of orthologue groups at the transcript level is an important step to more accurately define functionally equivalent orthologue groups. This work appears to be the first effort to refine orthologous groupings of genes based on the consequences of alternative splicing on function. Further investigation and refinement of the methodology to classify and verify isoform sub-clusters is needed, particularly to extend the technique to more distantly related species.

Aproximación In Silico a la evolución de la familia de genes que conforman el receptor ionotrópico de glutamato en cuatro especies de primates

<p><strong><em></em></strong> Man as a species has a brain unique in analysis capabilities due to its structure and organizational patterns that are presumably the basis of intelligence and the ability to manipulate the environment. Additionally, the development and evolution of the brain respond underlying genetic processes. <strong>Objective</strong>. To present an approach to the evolutionary process of the iGluR with the maximum likelihood (ML) and Bayesian (By) phylogenetic analysis methods. <strong>Materials and methods</strong>. we used <em>in silico</em> methods to propose a model of molecular evolution and to do a qualitative recognition of synteny blocks for these genes in different species of primates (chimpanzee, orangutan, rhesus monkey and man). <strong>Results</strong>. Glutamate is the main neurotransmitter and plays an important role in neuronal plasticity and neurotoxicity. Neurotransmission via glutamate is mediated by ionotropic glutamate receptors (iGluR) NMDA type and non-NMDA type (AMPA and KA). For every phylogenetic inference, we confirmed that the iGluRs of mammals could have evolved from a primitive signaling mechanism, thus explaining similar clusters between some species of primates and rodents. <strong>Conclusion</strong>. The NR-2 sequences have been exposed to a purifying selection, and the neutral level of divergence is faster in primates than in rodents, however further studies are needed to confirm these theories of evolution.</p> <p><strong>Key words</strong>: evolution in gene families, phylogenetic inference of ML and By, iGluR, AMPA, KA, NMDA.</p><br />

A cluster of non-redundant Ngn1 binding sites is required for regulation of deltaA expression in zebrafish

Proneural genes encode bHLH transcription factors that are key regulator of neurogenesis in both vertebrates and invertebrates. How these transcription factors regulate targets required for neural determination and/or specification is beginning to be understood. In this study, we show that zebrafish deltaA is a transcriptional target of proneural factors. Using a combination of transient and stable transgenic reporters, we show that regulation of deltaA by one such proneural factor, Ngn1, requires three clustered E-box binding sites that act in a non-redundant manner. Furthermore, we show that as for other proneural targets, members of the different proneural families regulate deltaA expression via distinct cis-regulatory modules (CRMs). Interestingly, however, while the deltaA CRM regulated by a second proneural factor, Ascl1, has been conserved between delta genes of different species, we show that the Ngn1 CRM has not. These results suggest that evolutionary constraints on the mechanism by which Ngn1 regulates gene expression appear less strict than for Ascl1.

Selection upon Genome Architecture: Conservation of Functional Neighborhoods with Changing Genes

An increasing number of evidences show that genes are not distributed randomly across eukaryotic chromosomes, but rather in functional neighborhoods. Nevertheless, the driving force that originated and maintains such neighborhoods is still a matter of controversy. We present the first detailed multispecies cartography of genome regions enriched in genes with related functions and study the evolutionary implications of such clustering. Our results indicate that the chromosomes of higher eukaryotic genomes contain up to 12% of genes arranged in functional neighborhoods, with a high level of gene co-expression, which are consistently distributed in phylogenies. Unexpectedly, neighborhoods with homologous functions are formed by different (non-orthologous) genes in different species. Actually, instead of being conserved, functional neighborhoods present a higher degree of synteny breaks than the genome average. This scenario is compatible with the existence of selective pressures optimizing the coordinated transcription of blocks of functionally related genes. If these neighborhoods were broken by chromosomal rearrangements, selection would favor further rearrangements reconstructing other neighborhoods of similar function. The picture arising from this study is a dynamic genomic landscape with a high level of functional organization.

A statistical approach to high-throughput screening of predicted orthologs

Orthologs are genes in different species that have diverged from a common ancestral gene after speciation. In contrast, paralogs are genes that have diverged after a gene duplication event. For many comparative analyses, it is of interest to identify orthologs with similar functions. Such orthologs tend to support species divergence (ssd-orthologs) in the sense that they have diverged only due to speciation, to the same relative degree as their species. However, due to incomplete sequencing or gene loss in a species, predicted orthologs can sometimes be paralogs or other non-ssd-orthologs. To increase the specificity of ssd-ortholog prediction, Fulton et al. [Fulton, D., Li, Y., Laird, M., Horsman, B., Roche, F., Brinkman, F., 2006. Improving the specificity of high-throughput ortholog prediction. BMC Bioinformatics 7 (1), 270] developed Ortholuge, a bioinformatics tool that identifies predicted orthologs with atypical genetic divergence. However, when the initial list of putative orthologs contains a non-negligible number of non-ssd-orthologs, the cut-off values that Ortholuge generates for orthology classification are difficult to interpret and can be too high, leading to decreased specificity of ssd-ortholog prediction. Therefore, we propose a complementary statistical approach to determining cut-off values. A benefit of the proposed approach is that it gives the user an estimated conditional probability that a predicted ortholog pair is unusually diverged. This enables the interpretation and selection of cut-off values based on a direct measure of the relative composition of ssd-orthologs versus non-ssd-orthologs. In a simulation comparison of the two approaches, we find that the statistical approach provides more stable cut-off values and improves the specificity of ssd-ortholog prediction for low-quality data sets of predicted orthologs.

C-It: a knowledge database for tissue-enriched genes

Due to the development of high-throughput technologies such as microarrays, it has become possible to determine genome-wide expression changes in a single experiment. Although much attention has been paid to identify differentially expressed genes, the functions of tens of thousands of genes in different species still remain unknown. C-It is a knowledge database that has its focus on 'uncharacterized genes'. C-It contains expression profiles of various tissues from human, mouse, rat, chicken and zebrafish. By applying our previously introduced algorithm DGSA (Database-Dependent Gene Selection and Analysis), it is possible to screen for uncharacterized, tissue-enriched genes in the species mentioned above. C-It is designed to include further expression studies, which might provide more comprehensive coverage of gene expression patterns and tissue-enriched splicing isoforms. We propose that C-It will be an excellent starting point to study uncharacterized genes. C-It is freely available online without registration at http://C-It.mpi-bn.mpg.dehttp://C-It.mpi-bn.mpg.de.

EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes

Identification of functionally equivalent genes in different species is essential to understand the evolution of biological pathways and processes. At the same time, identification of strings of conserved orthologous genes helps identify complex genomic rearrangements across different organisms. Such an insight is particularly useful, for example, in the transfer of experimental results between different experimental systems such as Drosophila and mammals. Here, we describe the Encapsulated Gene-by-gene Matching (EGM) approach, a method that employs a graph matching strategy to identify gene orthologs and conserved gene segments. Given a pair of genomes, EGM constructs a global gene match for all genes taking into account gene context and family information. The Hungarian method for identifying the maximum weight matching in bipartite graphs is employed, where the resulting matching reveals one-to-one correspondences between nodes (genes) in a manner that maximizes the gene similarity and context. We tested our approach by performing several comparisons including a detailed Human versus Mouse genome mapping. We find that the algorithm is robust and sensitive in detecting orthologs and conserved gene segments. EGM can sensitively detect rearrangements within large and small chromosomal segments. The EGM tool is fully automated and easy to use compared to other more complex methods that also require extensive manual intervention and input. The EGM software, Supplementary information and other tools are available online from http://vbc.med.monash.edu.au/ approximately kmahmood/EGM.

Anther-specific carbohydrate supply and restoration of metabolically engineered male sterility.

Male-sterile plants are used in hybrid breeding as well as for gene confinement for genetically modified plants in field trials and agricultural production. Apart from naturally occurring mutations leading to male sterility, biotechnology has added new possibilities for obtaining male-sterile plants, although so far only one system is used in practical breeding due to limitations in propagating male-sterile plants without segregations in the next generation or insufficient restoration of fertility when fruits or seeds are to be harvested from the hybrid varieties. Here a novel mechanism of restoration for male sterility is presented that has been achieved by interference with extracellular invertase activity, which is normally specifically expressed in the anthers to supply the developing microspores with carbohydrates. Microspores are symplastically isolated in the locular space of the anthers, and thus an unloading pathway of assimilates via the apoplasmic space is mandatory for proper development of pollen. Antisense repression of the anther-specific cell wall invertase or interference with invertase activity by expressing a proteinacious inhibitor under the control of the anther-specific invertase promoter results in a block during early stages of pollen development, thus causing male sterility without having any pleiotropic effects. Restoration of fertility was successfully achieved by substituting the down-regulated endogenous plant invertase activity by a yeast invertase fused to the N-terminal portion of potato-derived vacuolar protein proteinase II (PiII–ScSuc2), under control of the orthologous anther-specific invertase promoter Nin88 from tobacco. The chimeric fusion PiII–ScSuc2 is known to be N-glycosylated and efficiently secreted from plant cells, leading to its apoplastic location. Furthermore, the Nin88::PiII-ScSuc2 fusion does not show effects on pollen development in the wild-type background. Thus, such plants can be used as paternal parents of a hybrid variety, thereby the introgression of Nin88::PiII-ScSuc2 to the hybrid is obtained and fertility is restored. In order to broaden the applicability of this male sterility/restoration system to other plant species, a phylogenic analysis of plant invertases(β-fructofuranosidases) and related genes of different species was carried out. This reveals a specific clustering of the cell wall invertases with anther-specific expression for dicotyl species and another cluster for monocotyl plants. Thus, in both groups of plants, there seems to be a kind of co-evolution, but no recent common ancestor of these members of the gene family. These findings provide a helpful orientation to classify corresponding candidate genes in further plant species, in addition to the species analysed so far (Arabidopsis, tobacco, tomato, potato, carrots, rice, and wheat).

A comparative genomic analysis of plant hormone related genes in different species

Plant hormones are small molecules that play important roles throughout the life span of a plant, known as auxin, gibberellin, cytokinin, abscisic acid, ethylene, jasmonic acid, salicylic acid, and brassinosteroid. Genetic and molecular studies in the model organism Arabidopsis thaliana have revealed the individual pathways of various plant hormone responses. In this study, we selected 479 genes that were convincingly associated with various hormone actions based on genetic evidence. By using these 479 genes as queries, a genome-wide search for their orthologues in several species (microorganisms, plants and animals) was performed. Meanwhile, a comparative analysis was conducted to evaluate their evolutionary relationship. Our analysis revealed that the metabolisms and functions of plant hormones are generally more sophisticated and diversified in higher plant species. In particular, we found that several phytohormone receptors and key signaling components were not present in lower plants or animals. Meanwhile, as the genome complexity increases, the orthologue genes tend to have more copies and probably gain more diverse functions. Our study attempts to introduce the classification and phylogenic analysis of phytohormone related genes, from metabolism enzymes to receptors and signaling components, in different species.

Modeling Co-Expression across Species for Complex Traits: Insights to the Difference of Human and Mouse Embryonic Stem Cells

Complex interactions between genes or proteins contribute substantially to phenotypic evolution. We present a probabilistic model and a maximum likelihood approach for cross-species clustering analysis and for identification of conserved as well as species-specific co-expression modules. This model enables a “soft” cross-species clustering (SCSC) approach by encouraging but not enforcing orthologous genes to be grouped into the same cluster. SCSC is therefore robust to obscure orthologous relationships and can reflect different functional roles of orthologous genes in different species. We generated a time-course gene expression dataset for differentiating mouse embryonic stem (ES) cells, and compiled a dataset of published gene expression data on differentiating human ES cells. Applying SCSC to analyze these datasets, we identified conserved and species-specific gene regulatory modules. Together with protein-DNA binding data, an SCSC cluster specifically induced in murine ES cells indicated that the KLF2/4/5 transcription factors, although critical to maintaining the pluripotent phenotype in mouse ES cells, were decoupled from the OCT4/SOX2/NANOG regulatory module in human ES cells. Two of the target genes of murine KLF2/4/5, LIN28 and NODAL, were rewired to be targets of OCT4/SOX2/NANOG in human ES cells. Moreover, by mapping SCSC clusters onto KEGG signaling pathways, we identified the signal transduction components that were induced in pluripotent ES cells in either a conserved or a species-specific manner. These results suggest that the pluripotent cell identity can be established and maintained through more than one gene regulatory network.

Chaperonin genes on the rise: new divergent classes and intense duplication in human and other vertebrate genomes

BackgroundChaperonin proteins are well known for the critical role they play in protein folding and in disease. However, the recent identification of three diverged chaperonin paralogs associated with the human Bardet-Biedl and McKusick-Kaufman Syndromes (BBS and MKKS, respectively) indicates that the eukaryotic chaperonin-gene family is larger and more differentiated than previously thought. The availability of complete genome sequences makes possible a definitive characterization of the complete set of chaperonin sequences in human and other species.ResultsWe identified fifty-four chaperonin-like sequences in the human genome and similar numbers in the genomes of the model organisms mouse and rat. In mammal genomes we identified, besides the well-known CCT chaperonin genes and the three genes associated with the MKKS and BBS pathological conditions, a newly-defined class of chaperonin genes named CCT8L, represented in human by the two sequences CCT8L1 and CCT8L2. Comparative analyses from several vertebrate genomes established the monophyletic origin of chaperonin-like MKKS and BBS genes from the CCT8 lineage. The CCT8L gene originated from a later duplication also in the CCT8 lineage at the onset of mammal evolution and duplicated in primate genomes. The functionality of CCT8L genes in different species was confirmed by evolutionary analyses and in human by expression data. Detailed sequence analysis and structural predictions of MKKS, BBS and CCT8L proteins strongly suggested that they conserve a typical chaperonin-like core structure but that they are unlikely to form a CCT-like oligomeric complex. The characterization of many newly-discovered chaperonin pseudogenes uncovered the intense duplication activity of eukaryotic chaperonin genes.ConclusionsIn vertebrates, chaperonin genes, driven by intense duplication processes, have diversified into multiple classes and functionalities that extend beyond their well-known protein-folding role as part of the typical oligomeric chaperonin complex, emphasizing previous observations on the involvement of individual CCT monomers in microtubule elongation. The functional characterization of newly identified chaperonin genes will be a challenge for future experimental analyses.

Cross Species Expression Analysis of Innate Immune Response

The innate immune response is the first line of host defense against infections. This system employs a number of different types of cells, which in turn activate different sets of genes. Microarray studies of human and mouse cells infected with various pathogens identified hundreds of differentially expressed genes. However, combining these datasets to identify common and unique response patterns remained a challenge. We developed methods based on probabilistic graphical models to combine expression experiments across species, cells, and pathogens. Our method analyzes homologous genes in different species concurrently overcoming problems related to noise and orthology assignments. Using our method, we identified both core immune response genes and genes that are activated in macrophages in both human and mouse but not in dendritic cells, and vice versa. Our results shed light on immune response mechanisms and on the differences between various types of cells that are used to fight infecting bacteria. For supporting website, see www.cs.cmu.edu/-lyongu/pub/immune/.

Beyond Drosophila: RNAi In Vivo and Functional Genomics in Insects

The increasing availability of insect genomes has revealed a large number of genes with unknown functions and the resulting problem of how to discover these functions. The RNA interference (RNAi) technique, which generates loss-of-function phenotypes by depletion of a chosen transcript, can help to overcome this challenge. RNAi can unveil the functions of new genes, lead to the discovery of new functions for old genes, and find the genes for old functions. Moreover, the possibility of studying the functions of homologous genes in different species can allow comparisons of the genetic networks regulating a given function in different insect groups, thereby facilitating an evolutionary insight into developmental processes. RNAi also has drawbacks and obscure points, however, such as those related to differences in species sensitivity. Disentangling these differences is one of the main challenges in the RNAi field.

Complexity and Entropy Analysis of DNA Methyltransferase

Background: The application of complexity information on DNA sequence and protein in biological processes are well established in this study. Available sequences for DNMT1 gene were thoroughly explored in the information complexities. DNMT1 gene is a maintenance methyltransferase responsible for copying DNA methylation patterns to the daughter strands during DNA replication in different species. Results: We found that the entropy of DNMT1 gene in different species is DNA base composition dependent, and its complexity in mammals is lower in introns than in coding regions. We also demonstrated the impacts of entropy on domains and non-domain(s) of the DNMT1 gene. The results from DNA and protein sequences indicated that DNA evolution has a tendency toward complexity. The most interest is that the methylation’s changes of the gene over aging in a unique chick model showed aging-driven entropy characteristics, which may give an explanation of aging processes. Conclusion: In summary, the information complexity of DNMT1 gene is related to its genomic composition, which thereby associates to evolutionary and aging processing, even though the intrinsic mechanism is not to be studied yet.

Large scale comparison of global gene expression patterns in human and mouse

BackgroundIt is widely accepted that orthologous genes between species are conserved at the sequence level and perform similar functions in different organisms. However, the level of conservation of gene expression patterns of the orthologous genes in different species has been unclear. To address the issue, we compared gene expression of orthologous genes based on 2,557 human and 1,267 mouse samples with high quality gene expression data, selected from experiments stored in the public microarray repository ArrayExpress.ResultsIn a principal component analysis (PCA) of combined data from human and mouse samples merged on orthologous probesets, samples largely form distinctive clusters based on their tissue sources when projected onto the top principal components. The most prominent groups are the nervous system, muscle/heart tissues, liver and cell lines. Despite the great differences in sample characteristics and experiment conditions, the overall patterns of these prominent clusters are strikingly similar for human and mouse. We further analyzed data for each tissue separately and found that the most variable genes in each tissue are highly enriched with human-mouse tissue-specific orthologs and the least variable genes in each tissue are enriched with human-mouse housekeeping orthologs.ConclusionsThe results indicate that the global patterns of tissue-specific expression of orthologous genes are conserved in human and mouse. The expression of groups of orthologous genes co-varies in the two species, both for the most variable genes and the most ubiquitously expressed genes.

Evolution of Duplicated -Globin Genes and the Structural Basis of Hemoglobin Isoform Differentiation in Mus

The functional diversification of multigene families may be strongly influenced by mechanisms of concerted evolution such as interparalog gene conversion. The beta-globin gene family of house mice (genus Mus) represents an especially promising system for evaluating the effects of gene conversion on the functional divergence of duplicated genes. Whereas the majority of mammalian species possess tandemly duplicated copies of the adult beta-globin gene that are identical in sequence, natural populations of house mice are often polymorphic for distinct two-locus haplotypes that differ in levels of functional divergence between duplicated beta-globin genes, HBB-T1 and HBB-T2. Here, we use a phylogenetic approach to unravel the complex evolutionary history of the HBB-T1 and HBB-T2 paralogs in a taxonomically diverse set of species in the genus Mus. The main objectives of this study were 1) to reconstruct the evolutionary history of the different HBB haplotypes of house mice, 2) to assess the role of recombinational exchange between HBB-T1 and HBB-T2 in promoting concerted evolution, 3) to assess the role of recombinational exchange between HBB-T1 and HBB-T2 in creating chimeric genes, and 4) to assess the structural basis of hemoglobin isoform differentiation in species that possess distinct HBB paralogs. Results of our phylogenetic survey revealed that the HBB-T1 and HBB-T2 genes in different species of Mus exhibit the full range of evolutionary outcomes with respect to levels of interparalog divergence. At one end of the spectrum, the two identical HBB paralogs on the Hbb(s) haplotype (shared by Mus domesticus, Mus musculus, and Mus spretus) represent a classic example of concerted evolution. At the other end of the spectrum, the two distinct HBB paralogs on the Hbb(d), Hbb(p), Hbb(w1), and Hbb(w2) haplotypes (shared by multiple species in the subgenus Mus) show no trace of gene conversion and are distinguished by a number of functionally important amino acid substitutions. Because the possession of distinct HBB paralogs expands the repertoire of functionally distinct hemoglobin isoforms that can be synthesized during fetal development and postnatal life, variation in the level of functional divergence between HBB-T1 and HBB-T2 may underlie important physiological variation within and among species.

Leucine‐rich repeat kinase 2 phosphorylates brain tubulin‐beta isoforms and modulates microtubule stability – a point of convergence in Parkinsonian neurodegeneration?

Autosomal dominant mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common genetic cause of late-onset Parkinson's disease. The most prevalent LRRK2(G2019S) mutation has repeatedly been shown to enhance kinase activity and neurotoxicity, however, the molecular mechanisms leading to neurodegeneration remain poorly defined. Here we show that recombinant human LRRK2 preferentially phosphorylates tubulin-beta purified from bovine brain and that phosphorylation is three-fold enhanced by the LRRK2(G2019S) mutation. By tandem mass spectrometry, Thr107 was identified as phosphorylation site which is highly conserved between tubulin-beta family members and also between tubulin-beta genes of different species. LRRK2 was co-immunoprecipitated with tubulin-beta both from wild-type mouse brain and from LRRK2 over-expressing, non-neuronal human embryonic kidney 293 cells. However, an effect of LRRK2 on tubulin phosphorylation and assembly was only detectable in mouse brain samples. In vitro co-incubation of bovine brain tubulins with LRRK2 increased microtubule stability in the presence of microtubule-associated proteins which may explain the reduction in neurite length in LRRK2-deficient neurons in culture. These findings suggest that LRRK2(G2019S)-induced neurodegeneration in Parkinsonian brains may be partly mediated by increased phosphorylation of tubulin-beta and constraining of microtubule dynamics.

The evolution of pheromonal communication

Small-brained rodents have been the principle focus for pheromonal research and have provided comprehensive insights into the chemosensory mechanisms that underpin pheromonal communication and the hugely important roles that pheromones play in behavioural regulation. However, pheromonal communication does not start or end with the mouse and the rat, and work in amphibians reveals much about the likely evolutionary origins of the chemosensory systems that mediate pheromonal effects. The dual olfactory organs (the main olfactory epithelium and the vomeronasal organ), their receptors and their separate projection pathways appear to have ancient evolutionary origins, appearing in the aquatic ancestors of all tetrapods during the Devonian period and so pre-dating the transition to land. While the vomeronasal organ has long been considered an exclusively pheromonal organ, accumulating evidence indicates that it is not the sole channel for the transduction of pheromonal information and that both olfactory systems have been co-opted for the detection of different pheromone signals over the course of evolution. This has also led to great diversity in the vomeronasal and olfactory receptor families, with enormous levels of gene diversity and inactivation of genes in different species. Finally, the evolution of trichromacy as well as huge increases in social complexity have minimised the role of pheromones in the lives of primates, leading to the total inactivation of the vomeronasal system in catarrhine primates while the brain increased in size and behaviour became emancipated from hormonal regulation.

SIGLEC16 encodes a DAP12‐associated receptor expressed in macrophages that evolved from its inhibitory counterpart SIGLEC11 and has functional and non‐functional alleles in humans

Sialic acid binding immunoglobulin-like lectins (Siglec) are important components of immune recognition. The organization of Siglec genes in different species is consistent with rapid selection imposed by pathogens. We studied SIGLEC11 genes in human, rodent, dog, cow and non-human primates. The lineages of SIGLEC11 genes in these species have undergone dynamic gene duplication and conversion, forming a potential inhibitory (SIGLEC11)/activating (SIGLEC16) receptor pair in chimpanzee and humans. A cDNA encoding human Siglec-16, currently classed as a pseudogene in the databases (SIGLECP16), is expressed in various cell lines and tissues. A polymorphism screen for the two alleles (wild type and four-base pair deletion, 4bpDelta) of SIGLEC16 found their frequencies to be 50% amongst the UK population. A search for donor sequences for SIGLEC16 revealed a subfamily of activating Siglec with charged transmembrane domains predicted to associate with ITAM-encoding adaptor proteins. In support of this, Siglec-16 was expressed at the cell surface in the presence of DAP12, but not the FcRgamma chain. Using antisera specific to the cytoplasmic tail of Siglec-16, we identified Siglec-16 expression in CD14(+) tissue macrophages and in normal human brain, cancerous oesophagus and lung. This is the first activating human Siglec receptor found to have functional and non-functional alleles within the population.

On wavelet-based adaptive approach for gene comparison

Recent past has seen an exponential growth in DNA sequence data, which is being made publicly accessible. This has contributed towards enormous effort in understanding the concealed information within DNA sequences. Various heuristic techniques of sequence analysis have given significant results, but as the sequence length increases, these techniques are found to be inefficient, leaving scope for intelligent techniques that can adapt to the variable length of the coding and non-coding sequences. In this paper, we introduce an intrinsic and an intelligent technique of wavelet analysis that has the ability to adapt itself according to the variable length of the coding and non-coding sequences while giving a comprehensive picture of the patterns present within the DNA sequences. These patterns can be compared between the similar genes in different species and can be used for understanding and mapping the process of evolution. We perform the wavelet analysis of nucleotide sequences from different species and report some significant facts about the phylogenetic relationships between the species that are considered to be unrelated. Application of the developed approach provides evidence towards the theory of conservation of genes during the process of evolution.