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At least 1,747 records · Page 97Linked to original sources
PubMed2005

Effects of long-chain hydrocarbon-polluted sediment on freshwater macroinvertebrates.

High-molecular weight (> C16) hydrocarbons (HMWHs) are common pollutants in sediments of freshwater systems, particularly urban water bodies. No sediment quality guidelines exist for total hydrocarbons; more emphasis is placed on polyaromatic hydrocarbons, the most toxic component of hydrocarbons. A field-based microcosm experiment was conducted to determine whether unpolluted sediments spiked with synthetic motor oil impair freshwater macroinvertebrate assemblages. Total petroleum hydrocarbon (TPH) concentrations of 860 mg/kg dry weight significantly increased the abundance of Polypedilum vespertinus and Cricotopus albitarsis and decreased the abundance of Paratanytarsus grimmii adults (all Chironomidae), whereas TPH concentrations ranging from 1,858 to 14,266 mg/kg produced a significant reduction in the total numbers of taxa and abundance, with significant declines in the abundance of nine chironomid taxa. About 28% of water bodies surveyed in urban Melbourne, Australia, had TPH concentrations in sediments likely to cause ecological impairment, and about 14% of the water bodies surveyed are likely to have reduced species richness and abundance. Therefore, HMWHs can be a significant pollutant in urban water bodies. Freshwater sediment quality guidelines should be developed for this ubiquitous urban pollutant.

Animals↗
PubMed1986

Occurrence of different types of infectious hematopoietic necrosis virus in fish.

The virion protein patterns of 71 isolates of infectious hematopoietic necrosis virus (IHNV) from the Pacific Northwest were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis of [35S]-methionine-labeled virus. This analysis led to the classification of these virus isolates into four or more types. Type 1 virus was characterized by a nucleocapsid protein with an approximate molecular weight of 40,500. Type 2 and type 3 viruses have nucleocapsid proteins with molecular weights of 42,800 and 43,250, respectively. Type 2 virus was responsible for the recent epizootics of IHNV among fish in the lower Columbia River. The California IHNV isolates were type 3 with the exception of some of those isolated from fish at the Coleman Hatchery on the Sacramento River. These Coleman Hatchery isolates belonged to a type 4 virus group characterized by a larger glycoprotein of approximately 70,000 molecular weight. All other viruses examined had glycoproteins of 67,000 molecular weight. The "type 5" virus isolates were grouped together because they were not sufficiently distinct to warrant classification into a separate type. These findings have been useful in determining that a particular virus type is characteristic for a geographic area and will infect many different salmonid species in that area and the same type isolated from parental fish is responsible for the subsequent outbreak of the diseases in progeny.

Animals↗
PubMed2005

Synergistic effects of combining morphological and molecular data in resolving the phylogeny of butterflies and skippers.

Phylogenetic relationships among major clades of butterflies and skippers have long been controversial, with no general consensus even today. Such lack of resolution is a substantial impediment to using the otherwise well studied butterflies as a model group in biology. Here we report the results of a combined analysis of DNA sequences from three genes and a morphological data matrix for 57 taxa (3258 characters, 1290 parsimony informative) representing all major lineages from the three putative butterfly super-families (Hedyloidea, Hesperioidea and Papilionoidea), plus out-groups representing other ditrysian Lepidoptera families. Recently, the utility of morphological data as a source of phylogenetic evidence has been debated. We present the first well supported phylogenetic hypothesis for the butterflies and skippers based on a total-evidence analysis of both traditional morphological characters and new molecular characters from three gene regions (COI, EF-1alpha and wingless). All four data partitions show substantial hidden support for the deeper nodes, which emerges only in a combined analysis in which the addition of morphological data plays a crucial role. With the exception of Nymphalidae, the traditionally recognized families are found to be strongly supported monophyletic clades with the following relationships: (Hesperiidae+(Papilionidae+(Pieridae+(Nymphalidae+(Lycaenidae+Riodinidae))))). Nymphalidae is recovered as a monophyletic clade but this clade does not have strong support. Lycaenidae and Riodinidae are sister groups with strong support and we suggest that the latter be given family rank. The position of Pieridae as the sister taxon to nymphalids, lycaenids and riodinids is supported by morphology and the EF-1alpha data but conflicted by the COI and wingless data. Hedylidae are more likely to be related to butterflies and skippers than geometrid moths and appear to be the sister group to Papilionoidea+Hesperioidea.

Animals↗
PubMed2004

"Lipotyphlan" phylogeny based on the growth hormone receptor gene: a reanalysis.

From an evolutionary perspective, "insectivores" have been one of the most important mammalian groups for over a century. Morphologists have successively pruned flying lemurs, elephant shrews, and tree shrews from Insectivora, but have retained chrysochlorids, tenrecs, erinaceids, soricids, talpids, and solenodontids in crown-group Lipotyphla. With the appearance of large molecular data sets, the monophyly of Lipotyphla has proved untenable. Rather, an emerging consensus is that Lipotyphla is a diphyletic taxon comprised of two monophyletic groups, Afrosoricida and Eulipotyphla. A recent paper by Malia et al. [Mol. Phylogenet. Evol. 24 (2002) 91-101] challenged this view and argued that "While the data [Growth Hormone Receptor] were unable to support the orders Lipotyphla, Eulipotyphla, and Tenrecoidea [= Afrosoricida] this was most likely due to the polyphyly of these groups and not to problems associated with the gene itself such as saturation or highly divergent sequences em leader " (p. 100). We analyzed Malia et al.'s original GHR data set (at both nuclear and protein level), an expanded GHR data set that included 49 additional sequences, and a concatenated data set that included GHR, BRCA1, vWF, and A2AB for a diverse selection of lipotyphlan taxa. Although protein analyses proved inconclusive, all analyses at the DNA level clearly show that the statement of Malia et al. is erroneous. Indeed, likelihood analyses with GHR and with the concatenated data set provide more support for Eulipotyphla and Afrosoricida than for competing hypotheses. These results also highlight the potential pitfalls of single-gene and parsimony-only analyses.

Animals↗
PubMed2000

Blue copper proteins: a comparative analysis of their molecular interaction properties.

Blue copper proteins are type-I copper-containing redox proteins whose role is to shuttle electrons from an electron donor to an electron acceptor in bacteria and plants. A large amount of experimental data is available on blue copper proteins; however, their functional characterization is hindered by the complexity of redox processes in biological systems. We describe here the application of a semiquantitative method based on a comparative analysis of molecular interaction fields to gain insights into the recognition properties of blue copper proteins. Molecular electrostatic and hydrophobic potentials were computed and compared for a set of 33 experimentally-determined structures of proteins from seven blue copper subfamilies, and the results were quantified by means of similarity indices. The analysis provides a classification of the blue copper proteins and shows that (I) comparison of the molecular electrostatic potentials provides useful information complementary to that highlighted by sequence analysis; (2) similarities in recognition properties can be detected for proteins belonging to different subfamilies, such as amicyanins and pseudoazurins, that may be isofunctional proteins; (3) dissimilarities in interaction properties, consistent with experimentally different binding specificities, may be observed between proteins belonging to the same subfamily, such as cyanobacterial and eukaryotic plastocyanins; (4) proteins with low sequence identity, such as azurins and pseudoazurins, can have sufficient similarity to bind to similar electron donors and acceptors while having different binding specificity profiles.

Amino Acid Sequence↗
PubMed2004

Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray.

Malignant pleural mesothelioma (MPM) is an aggressive serosal tumor, strongly associated with former exposure to asbestos fibers and for which there is currently no effective treatment available. In human, MPM is characterized by a high local invasiveness, poor prognosis and therapeutic outcomes. In order to assess molecular changes that specify this phenotype, we performed a global gene expression profiling of human MPM. Using a 10,000-element microarray, we analyzed mRNA relative gene expression levels by comparing a mesothelioma cell line to either a pleural cell line or tumor specimens. To analyze these gene expression data, we used various bioinformatics softwares. Hierarchical clustering methods were used to group genes and samples with similar expression in an unsupervised mode. Genes of known function were further sorted by enzyme, function and pathway clusters using a supervised software (IncyteGenomics). Taken together, these data defined a molecular fingerprint of human MPM with more than 700 up- or down-regulated genes related to several traits of the malignant phenotype, specially associated with MPM invasiveness, protection and resistance to anticancer defenses. This portrait is meaningful in disease classification and management, and relevant in finding new specific markers of MPM. These molecular markers should improve the accuracy of mesothelioma diagnosis, prognosis and therapy.

Biomarkers, Tumor↗
PubMed2001

Analysis of the systematic relationships among ticks of the genera Rhipicephalus and Boophilus (Acari: Ixodidae) based on mitochondrial 12S ribosomal DNA gene sequences and morphological characters.

A portion of mitochondrial 12S rDNA sequences (337-355 base pairs) and 63 morphological characters of 36 hard-tick species belonging to 7 genera were analyzed to determine the phylogenetic relationships among groups and species of Rhipicephalus and between the genera Rhipicephalus and Boophilus. Molecular and morphological data sets were first examined separately. The molecular data were analyzed by maximum parsimony (MP), maximum likelihood, and neighbor-joining distance methods; the morphological data were analyzed by MP After their level of congruence was evaluated by a partition homogeneity test, all characters were combined and analyzed by MP. The branches of the tree obtained by combining the data sets were better resolved than those of the trees inferred from the separate analyses. Boophilus is monophyletic and arose within Rhipicephalus. Boophilus species clustered with species of the Rhipicephalus evertsi group. Most of the clustering within Rhipicephalus was, however, consistent with previous classifications based on morphological data. Morphological characters were traced on the molecular reconstruction in order to identify characters diagnostic for monophyletic clades. Within the Rhipicephalus sanguineus complex, the sequences of specimens morphologically identified as Rhipicephalus turanicus were characterized by a high level of variability, indicating that R. turanicus-like morphology may cover a spectrum of distinct species.

Animals↗
PubMed2001

Molecular biology of Hendra and Nipah viruses.

The structure and genetic organization of Hendra and Nipah viruses places them in the subfamily Paramyxovirinae. However, low homology with other subfamily members and several novel biological and molecular features such as genome length and F(0 )cleavage site suggest classification in a new genus within the Paramyxovirinae.

Amino Acid Sequence↗
PubMed2005

Vibrational dynamics of the floppy LiNC/LiCN molecular system.

Modern spectroscopical techniques allow the efficient experimental investigation of highly excited vibrational states in molecular systems. On the theoretical side, powerful computational methods have also been developed for the calculation of the corresponding energy levels and wave functions, and their interpretation. In this paper we use a combination of two such methods, namely, the distribution of zeroes in the Husimi function and energy-level correlation diagrams, to discuss a classification scheme, for the lowest hundred vibrational levels of the LiNC/LiCN floppy molecular system, based on their dynamical characteristics.

Journal Article↗
PubMed1999

Current concepts of cerebral malformation syndromes.

In the past, children with many brain malformations were classified as having static encephalopathies (cerebral palsy), often attributed to perinatal or prenatal distress. Understanding of the frequency and clinical manifestations of brain malformations, however, has increased dramatically in the past 10 to 15 years. During this time, it has become apparent that many static encephalopathies in children have a brain malformation as their substrate. Most of the increase in our knowledge can be attributed to advances in neuroimaging and in molecular biology. In general, radiologic analysis of the brain allows similar malformations to be classified together. Subsequent genetic analysis of the affected children often reveals the affected gene, leading to identification of the gene product and, ideally, an ultimate understanding of the molecular mechanism of malformation. Currently, many genes involved in the complicated process of neuronal proliferation, migration, and organization are being identified. Knowledge of these genes and a better radiologic classification system enable the referring physician to give better care, more sophisticated genetic counseling, and a more precise prognosis for the child. To illustrate this mechanism of classification, three groups of malformations are discussed, in which a combination of neuroimaging analysis and molecular biologic analysis have led to a new understanding of the malformation syndromes.

Brain Diseases↗
PubMedDate not supplied

[Recent advances in molecular biology of central nervous system embryonal tumors and development of potential molecular targeted therapies].

Embryonal tumours constitute the largest group of malignant pediatric brain tumours. Their origin and histological classification is debated. Diagnosis is controversial and patients' response to therapy on the basis of morphologic appearance alone, is difficult to predict. Therefore accurate clinical staging remains a critical component of clinical management. In recent years real progress has been made in our understanding of the molecular genetic abnormalities that govern the initiation and/or progression of embryonal tumours. This review is focused on the principal molecular genetic abnormalities so far identified in embryonal brain tumours and discusses their possible biological and clinical applications in developing a molecular risk staging system which hopefully will lead to the molecular targeted therapies, curative non-toxic treatment for all children.

Brain Neoplasms↗
PubMed2001

Resting energy expenditure: systematic organization and critique of prediction methods.

There are many published methods for predicting resting energy expenditure (REE) from measured body composition. Although these published reports extend back almost a century, new related studies appear on a regular basis. It remains unclear what the similarities and differences are among these various methods and what, if any, advantages the newly introduced REE prediction models offer. These issues led us to develop an organizational system for REE prediction methods with the goal of clarifying prevailing ambiguities in the field. Our classification scheme is founded on body composition level (whole-body, tissue-organ, cellular, and molecular) and related components as the REE predictor variables. Each existing REE prediction method by body composition must belong to one body composition level. The suggested classification system, founded on a conceptual basis, highlights similarities and differences among the diverse REE-body composition prediction methods, provides a framework for teaching REE-body composition relationships, and identifies important future research opportunities.

Animals↗
PubMed2002

Assessment of otocephalan and protacanthopterygian concepts in the light of multiple molecular phylogenies.

The rise of cladistics in ichthyology has dramatically improved our knowledge of teleostean basal interrelationships. However, some questions have remained open, among them the reliability of the Otocephala, a clade grouping clupeomorphs and ostariophysans, and the relationships of the Esocoidei. These two questions have been investigated in the light of new DNA sequences (from 28S and rhodopsin genes) and sequences from data banks (cytochrome b, 12-16S, 18S, MLL and RAG1). The ability of each of these markers to resolve basal teleostean interrelationships is assessed, and the cytochrome b was not found appropriate. Practical (i.e. different taxonomic samplings) and epistemological grounds led us to perform multiple separated phylogenetic analyses, in order to estimate the reliability of the above clades from their repeatability among trees from independent sequence data. The Otocephala are found monophyletic from most of the datasets; otherwise, they are not significantly contradicted from the others, which exhibit unresolved relationships. We conclude that the evidence provided here favours the sister-group relationship of clupeomorphs and ostariophysans. Morphological evidence including fossils is discussed, concluding that morphological works have not yet provided sufficient data to support this group. Salmonids and esocoids are found sister-groups from every molecular dataset in which these groups were sampled. Based on these convincing results, the Protacanthopterygii of Johnson and Patterson [1] are redefined, including the Esocoidei.

Animals↗
PubMed1999

Molecular differentiation and phylogeny of entomopathogenic nematodes (rhabditida: heterorhabditidae) based on ND4 gene sequences of Mitochondrial DNA.

We determined partial ND4 gene sequences of mitochondrial DNA from 15 heterorhabditid nematode isolates, representing 5 species collected from different regions of the world, by using polymerase chain reaction (PCR) and direct-sequencing of PCR products. Aligned nucleotide as well as amino acid sequences were used to differentiate nematode species by comparing sequence divergence and to infer phylogeny of the nematodes by using maximum parsimony and likelihood methods. Robustness of our phylogenetic trees was checked by bootstrap tests. The 15 nematode isolates can be divided into 7 haplotypes based on DNA sequences. On a larger scale, the sequence divergence revealed 4 distinct groups corresponding to 4 described species. No sequence divergence was detected from 5 isolates of Heterorhabditis bacteriophora or between Heterorhabditis marelatus to Heterorhabditis hepialius. Our sequence data yielded phylogenetic trees with identical topologies when different tree-building methods were used. Most relationships were also confirmed by using amino acid sequences in maximum parsimony analysis. Our molecular phylogeny of Heterorhabditis species support an existing taxonomy that is based largely on morphology and the sequence divergence of the ND4 gene permits species identification.

Amino Acid Sequence↗
PubMed2026

Genetic diversity and molecular mechanisms in hypertrophic cardiomyopathy: toward personalized therapy.

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac muscle disorder, yet contemporary genomic and mechanistic research still lacks a cohesive model explaining how diverse genetic architectures give rise to heterogeneous phenotypes. This review synthesizes advances across sarcomeric and nonsarcomeric mutations, including intermediate-effect variants, polygenic modifiers, and ancestry-dependent sources of variant misclassification to elucidate how these factors govern disease penetrance and clinical expression. It critically evaluates how genetic diversity intersects with key molecular pathways, including sarcomeric hypercontractility, calcium dysregulation, mitochondrial energy deficiency, and transforming growth factor-β (TGF-β) and protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling, to drive hypertrophic and fibrotic remodeling. Emerging mechanism-based therapies, such as myosin inhibition, allele-specific silencing, clustered regularly interspaced short palindromic repeats (CRISPR)-based correction, and metabolic modulation, are examined with respect to their capacity to modify upstream molecular drivers rather than downstream hemodynamic consequences. Persistent challenges, including variants of uncertain significance classification, ancestry-biased databases, inequitable access to genetic testing, and unresolved safety concerns for gene-based therapies, are critically assessed as major barriers to precision-medicine integration. By linking genetic architecture, molecular pathogenesis, and targeted interventions, this review advances a contemporary, mechanistically grounded framework that informs both individualized management and future research directions. Future research should prioritize pathway-specific therapeutics, functional and mechanistic validation of emerging variants, deeper physiologic phenotyping to refine disease modeling, and accelerate translation throughout the continuum of HCM pathophysiology.

Humans↗
PubMed2001

Gene expression profiling of cancer by use of DNA arrays: how far from the clinic?

DNA arrays allow the simultaneous analysis of expression levels for thousands of genes in normal and pathological tissues and hold great promise in molecular medicine, notably in cancer research. The great biological and clinical diversity present in human tumours is poorly characterised by the current classification systems. DNA arrays can provide a better understanding of oncogenesis, leading to improvements in cancer management. First, the identification of new target genes and pathways will allow the development of specific molecular-based anticancer drugs. Secondly, expression profiles will permit tumour classification in more homogeneous diagnostic and prognostic groups, as well as the identification of new clinically and biologically relevant tumour subclasses. Here, we review the technology and present some cancer studies with promising results. Finally, we discuss some of the issues that must be resolved in the near future, so that DNA arrays can fulfil the aims mentioned above.

Gene Expression Profiling↗
PubMed1992

Structure and expression of mouse alpha 1-acid glycoprotein gene-3 (AGP-3).

The genome of Mus domesticus has multiple genes of the alpha 1-acid glycoprotein (AGP). Two cDNA clones were identified corresponding to AGP-1 and AGP-2. Moreover, two alleles of AGP-1 exist in inbred mice. The genomic DNA of the AGP-2 gene has been cloned and studied. Here we report the genomic organization of three M. domesticus AGP genes, the sequence analysis of the AGP-3 genomic DNA, and the expression of the AGP-3 gene. The major structural differences between AGP-2 and AGP-3 genes are located in introns 1 and 5. The low level of AGP-3 mRNA can be detected by the polymerase chain reaction (PCR). The molecular basis of the low level expression of AGP-3 and the possible classification of AGP-3 as a pseudogene are discussed.

Amino Acid Sequence↗