Works Published in 2013
Displaying works 141 - 160 of 660 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2013 journal article
Transgenerational effects of prenatal bisphenol A on social recognition
Hormones and Behavior, 64(5), 833–839.
author keywords: Endocrine disrupting chemicals; Social recognition; Transgenerational inheritance; Attention deficit hyperactivity disorder; Autism; Epigenetics
MeSH headings : Animals; Benzhydryl Compounds / pharmacology; Endocrine Disruptors / pharmacology; Female; Male; Maternal Exposure; Mice; Mice, Inbred C57BL; Motor Activity / drug effects; Phenols / pharmacology; Pregnancy; Prenatal Exposure Delayed Effects / psychology; Recognition, Psychology / drug effects; Social Behavior
TL;DR:
The results demonstrate that BPA exposure during gestation has long lasting, transgenerational effects on social recognition and activity in mice and show that B PA exposure has transGenerational actions on behavior and have implications for human neurodevelopmental behavioral disorders.
(via Semantic Scholar)
europepmc.org (repository)
Source: Crossref
Added: August 28, 2020
2013 journal article
Aromatase Deletion Accelerates Female Experimental Abdominal Aortic Aneurysm Formation
Journal of Vascular Surgery, 58(4), 1146–1147.
Source: Crossref
Added: August 28, 2020
2013 journal article
Integrative Chemical–Biological Read-Across Approach for Chemical Hazard Classification
Chemical Research in Toxicology, 26(8), 1199–1208.
MeSH headings : Animals; Anti-Bacterial Agents / chemistry; Anti-Bacterial Agents / toxicity; Anticonvulsants / chemistry; Anticonvulsants / toxicity; Bacteria / metabolism; Benzbromarone / chemistry; Benzbromarone / toxicity; Carbamazepine / chemistry; Carbamazepine / toxicity; Chloramphenicol / chemistry; Chloramphenicol / toxicity; Databases, Chemical; Gout Suppressants / chemistry; Gout Suppressants / toxicity; Hazardous Substances / classification; Hazardous Substances / toxicity; Liver / drug effects; Quantitative Structure-Activity Relationship; Rats; Transcriptome / drug effects
TL;DR:
A hazard classification and visualization method that draws upon both chemical structural similarity and comparisons of biological responses to chemicals measured in multiple short-term assays ("biological" similarity) to predict chemical toxicity.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Predicting Binding Affinity of CSAR Ligands Using Both Structure-Based and Ligand-Based Approaches
Journal of Chemical Information and Modeling, 53(8), 1915–1922.
MeSH headings : Databases, Pharmaceutical; Drug Discovery / methods; Ligands; Molecular Docking Simulation; Protein Binding; Quantitative Structure-Activity Relationship; Support Vector Machine
TL;DR:
This study shows that externally validated 2D QSAR models were capable of ranking CSAR ligands at least as accurately as more computationally intensive structure-based approaches used both by us and by other groups and ligand-based QSar models can complement structure- based approaches by boosting the prediction performances when used in consensus.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Discovery of Novel Antimalarial Compounds Enabled by QSAR-Based Virtual Screening
Journal of Chemical Information and Modeling, 53(2), 475–492.
MeSH headings : Antimalarials / chemistry; Antimalarials / pharmacology; Drug Discovery / methods; Humans; Malaria, Falciparum / drug therapy; Models, Biological; Plasmodium falciparum / drug effects; Quantitative Structure-Activity Relationship
TL;DR:
Quantitative structure-activity relationship models developed for a data set of 3133 compounds defined as either active or inactive against P. falciparum revealed novel chemical scaffolds which could be employed as starting points to discover novel antimalarial agents.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Using Graph Indices for the Analysis and Comparison of Chemical Datasets
Molecular Informatics, 32(9-10), 827–842.
author keywords: Chemical dataset graph; Graph indices; QSAR; ADDAGRA
TL;DR:
It is demonstrated that chemical datasets can be effectively characterized and compared by computing simple graph indices such as the average vertex degree or Randic connectivity index.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Unified Analysis of Secondary Traits in Case–Control Association Studies
Journal of the American Statistical Association, 108(502), 566–576.
author keywords: GWAS; Profile likelihood; Pseudo-likelihood; Retrospective study; Secondary phenotype; Semiparametric method
TL;DR:
A general retrospective likelihood framework is presented to perform association testing for both binary and continuous secondary traits, which respects marginal models and incorporates the interaction term and an alternative pseudo-likelihood method for handling covariates is presented.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
The Genotype-Tissue Expression (GTEx) project
Nature Genetics, 45(6), 580–585.
MeSH headings : Consensus Development Conferences, NIH as Topic; Gene Expression; Gene Expression Profiling; Genome-Wide Association Study; Government Programs / ethics; Government Programs / legislation & jurisprudence; Humans; Molecular Sequence Annotation; Organ Specificity; Quantitative Trait Loci; Tissue Banks; United States
TL;DR:
The Genotype-Tissue Expression (GTEx) project is described, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Assessment of beating parameters in human induced pluripotent stem cells enables quantitative in vitro screening for cardiotoxicity
Toxicology and Applied Pharmacology, 273(3), 500–507.
author keywords: iPSC; Calcium flux; Cardiotoxicity; hERG; Phenotypic screening; Predictive toxicology
MeSH headings : Area Under Curve; Cardiotoxins / pharmacology; Cell Survival / drug effects; Cells, Cultured; Drug Evaluation, Preclinical / methods; Drug-Related Side Effects and Adverse Reactions / diagnosis; Heart Diseases / chemically induced; Heart Diseases / diagnosis; Heart Diseases / pathology; High-Throughput Screening Assays; Humans; Induced Pluripotent Stem Cells / drug effects; Induced Pluripotent Stem Cells / metabolism; Myocytes, Cardiac / drug effects; Myocytes, Cardiac / metabolism; Myocytes, Cardiac / physiology; Phenotype; Risk Assessment
TL;DR:
Multi-parameter screening of beating profiles allows for cardiotoxicity risk assessment and identification of specific patterns defining mechanism-specific effects, and may be used widely for compound screening and early safety evaluation in drug development.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: Crossref
Added: August 28, 2020
2013 journal article
The Value of Statistical or Bioinformatics Annotation for Rare Variant Association With Quantitative Trait
Genetic Epidemiology, 37(7), 666–674.
author keywords: rare variants; association; weighting; variable selection; variant annotation
MeSH headings : Computational Biology; Genetic Variation / genetics; Genome-Wide Association Study; Genomics; Genotype; Humans; Models, Genetic; Molecular Sequence Annotation; Phenotype; Polymorphism, Single Nucleotide / genetics; Quantitative Trait Loci
TL;DR:
A systematic evaluation of multiple weighting schemes through a series of simulations intended to mimic large sequencing studies of a quantitative trait finds that the difference in power between phenotype‐dependent schemes is negligible when high‐quality functional annotations are available.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2013 journal article
Prospective teachers’ goal orientation: an examination of different teachers’ typologies with respect to motivations and beliefs about teaching
Teacher Development, 17(4), 409–430.
author keywords: prospective teachers; teacher education; goals; motivation; beliefs
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Crossref
Added: August 28, 2020
2013 journal article
Elementary Teachers' Classroom Practices and Beliefs in Relation to US Science Education Reform: Reflections from within
International Journal of Science Education, 35(11), 1800–1823.
author keywords: Science education reform; Teaching beliefs; Classroom practices; Case studies
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Crossref
Added: August 28, 2020
2013 journal article
Elementary Science Indoors and Out: Teachers, Time, and Testing
Research in Science Education, 43(5), 2059–2083.
author keywords: Elementary science; Outdoors; Environmental education
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Source: Crossref
Added: August 28, 2020
2013 journal article
Using the emerging Collaborative Cross to probe the immune system
Genes & Immunity, 15(1), 38–46.
author keywords: Collaborative Cross; Fc epsilon R; QTL
MeSH headings : Animals; B-Lymphocytes / physiology; CD11c Antigen / metabolism; CD8-Positive T-Lymphocytes / physiology; Genetic Variation; Genome-Wide Association Study; Haplotypes; Immunogenetics / methods; Lymphocyte Subsets / physiology; Mice; Mice, Inbred Strains / genetics; Mice, Inbred Strains / immunology; Quantitative Trait Loci; Receptors, IgE / metabolism; T-Lymphocytes / physiology
TL;DR:
Comparison of overall strain effects in the CC founders with strain effects at QTL in the pre-CC revealed sharp contrasts in the genetic architecture of two traits with significant loci: variation in CD23 can be explained largely by additive genetics at one locus, whereas variation in B-to-T ratio has a more complex etiology.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Crossref
Added: August 28, 2020
2013 journal article
Genetically Determined Severity of Anti-Myeloperoxidase Glomerulonephritis
The American Journal of Pathology, 182(4), 1219–1226.
MeSH headings : Animals; Antibodies, Antineutrophil Cytoplasmic / immunology; Bone Marrow Cells / pathology; Chimera; Crosses, Genetic; Female; Genetic Linkage; Genome / genetics; Genotype; Glomerulonephritis / genetics; Glomerulonephritis / immunology; Glomerulonephritis / pathology; Immunoglobulin G / immunology; Male; Mice; Mice, Inbred Strains; Neutrophil Activation / genetics; Peroxidase / genetics; Peroxidase / immunology; Polymorphism, Single Nucleotide / genetics
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: Crossref
Added: August 28, 2020
2013 journal article
Circulating levels of plasma IGF-I during recovery from size-selective harvesting in Menidia menidia
Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, 166(2), 222–227.
author keywords: IGF-1; Growth hormone; Menidia; Selection; Fisheries-induced evolution
MeSH headings : Animals; Breeding; Evolution, Molecular; Female; Fish Proteins / blood; Fisheries; Fishes / blood; Fishes / growth & development; Insulin-Like Growth Factor I / metabolism; Male; Phenotype; Weight Gain
TL;DR:
IGF-1 provides an interesting basis for understanding endocrine control of growth in response to artificial selection and recovery and is argued that somatic growth is likely to be under control of mechanism(s) downstream to IGF-1.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
14. Life Below Water
(OpenAlex)
Source: Crossref
Added: August 28, 2020
2013 journal article
The Pseudomonas syringae pv. tomato type III effector HopM1 suppresses Arabidopsis defenses independent of suppressing salicylic acid signaling and of targeting AtMIN7.
PloS One, 8(12).
Contributors: A. Gangadharan*, M. Sreerekha*, J. Whitehill* , J. Ham * & D. Mackey *
MeSH headings : Arabidopsis / genetics; Arabidopsis / immunology; Arabidopsis / microbiology; Arabidopsis Proteins / genetics; Arabidopsis Proteins / metabolism; Bacterial Proteins / metabolism; Bacterial Secretion Systems; Basic-Leucine Zipper Transcription Factors / metabolism; Gene Expression Regulation, Plant; Guanine Nucleotide Exchange Factors; Plant Diseases / immunology; Plant Diseases / microbiology; Pseudomonas syringae / pathogenicity; Pseudomonas syringae / physiology; RNA, Messenger / genetics; RNA, Messenger / metabolism; Salicylic Acid / metabolism; Signal Transduction / genetics; Transcription Factors / genetics; Transcription Factors / metabolism; Virulence / genetics
TL;DR:
HopM1 promotes bacterial virulence independent of suppressing SA-signaling and links TGA3, AtMIN7, and other HopM1 targets to pathways distinct from the canonical SA- Signaling pathway contributing to PR-1 expression and callose deposition.
(via Semantic Scholar)
Source: ORCID
Added: August 24, 2020
2013 journal article
Effects of water availability on emerald ash borer larval performance and phloem phenolics of Manchurian and black ash.
Plant, Cell & Environment, 4.
author keywords: pinoresinol; drought stress; Agrilus planipennis; secondary metabolites; quantitation; induced resistance; Fraxinus spp.; phenolics
MeSH headings : Analysis of Variance; Animals; Chromatography, High Pressure Liquid; Chromatography, Liquid; Coleoptera / physiology; Fraxinus / parasitology; Fraxinus / physiology; Furans / metabolism; Larva / physiology; Lignans / metabolism; Linear Models; Mass Spectrometry; Multivariate Analysis; Phenols / metabolism; Phloem / metabolism; Plant Leaves / physiology; Principal Component Analysis; Statistics, Nonparametric; Water / physiology
TL;DR:
The higher accumulation of pinoresinol A in Manchurian ash after attack may help explain the resistance of this species to EAB, but none of the responses measured here could explain increased larval performance in trees subjected to low water availability.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(OpenAlex)
Source: ORCID
Added: August 24, 2020
2013 journal article
Reserves accumulated in non-photosynthetic organs during the previous growing season drive plant defenses and growth in aspen in the subsequent growing season.
Journal of Chemical Ecology, 1.
author keywords: Aspen; Constitutive and induced defenses; Non-structural carbohydrates; Nitrogen; Phenolic glycosides
MeSH headings : Carbohydrate Metabolism; Herbivory / drug effects; Nitrogen / metabolism; Phenol / metabolism; Photosynthesis; Plant Leaves / metabolism; Plant Leaves / physiology; Populus / growth & development; Populus / metabolism; Populus / physiology; Seasons
TL;DR:
It is concluded that the NSC/N ratio of reserves in the previous growing season represents a better measure of resources available for use in defense and growth than the foliar N SC/N ratios.
(via Semantic Scholar)
Source: ORCID
Added: August 24, 2020
2013 journal article
Image analysis and empirical modeling of gene and protein expression
Methods, 62(1), 68–78.
author keywords: Quantitative measurements; Gene expression; Protein gradient; Drosophila melanogaster; Dorsal-ventral patterning; Empirical modeling
MeSH headings : Animals; Body Patterning / genetics; Drosophila Proteins / genetics; Drosophila Proteins / metabolism; Drosophila melanogaster / embryology; Drosophila melanogaster / genetics; Drosophila melanogaster / metabolism; Embryo, Nonmammalian / cytology; Embryo, Nonmammalian / metabolism; Embryo, Nonmammalian / ultrastructure; Gene Expression Regulation, Developmental; Homeodomain Proteins / genetics; Homeodomain Proteins / metabolism; Image Processing, Computer-Assisted / statistics & numerical data; In Situ Hybridization; Microscopy, Confocal; Models, Genetic; Nuclear Proteins / genetics; Nuclear Proteins / metabolism; Phosphoproteins / genetics; Phosphoproteins / metabolism; Transcription Factors / genetics; Transcription Factors / metabolism
TL;DR:
Computational methods to quantitatively measure the positions of gene expression domains and the gradients of protein expression along the dorsal-ventral axis in the Drosophila embryo are discussed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Crossref
Added: June 6, 2020
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