1,157 research outputs found
Genetic relationships among Rosa species based on random amplified polymorphic DNA (RAPD) markers
To investigate the genetic diversity of Rosa accessions, random amplified polymorphism DNA (RAPD) approach was employed. Nine of ten primers amplified 138 scorable RAPD loci with 111 polymorphic bands (80%). Percentages of polymorphic bands ranged from 75 to 100%. Sizes of amplified DNA fragments ranged from 250 to 6000 bp and were used for statistical analyses. Cluster analysis based on presence-absence of bands used Jaccard similarity coefficient and the unweighted pair group method with arithmetic averages (UPGMA). Genetic similarities between Rosa cultivars ranged from 0.42 to 0.84. The dendrogram revealed two main clusters, revealing considerable genetic diversity among these cultivars. Cluster I was divided into two subgroups. RAPD proves a useful tool for evaluating genetic diversity and relationships among different rose cultivars.Key words: Genetic diversity, (random amplified polymorphism DNA) RAPD markers, polymorphism, Rosaceae
The role of phosphorus sources on root diameter, root length and root dry matter of barley (Hordeum vulgare L.)
Generalized Grassmannian Coherent States For Pseudo-Hermitian Level Systems
The purpose of this paper is to generalize fermionic coherent states for
two-level systems described by pseudo-Hermitian Hamiltonian \cite{Trifonov}, to
n-level systems. Central to this task is the expression of the coherent states
in terms of generalized Grassmann variables. These kind of Grassmann coherent
states satisfy bi-overcompleteness condition instead of over-completeness one,
as it is reasonably expected because of the biorthonormality of the system.
Choosing an appropriate Grassmann weight function resolution of identity is
examined. Moreover Grassmannian coherent and squeezed states of deformed group
for three level pseudo-Hermitian system are presented.Comment: 17 page
PPARγ-coactivator-1α gene transfer reduces neuronal loss and amyloid-β generation by reducing β-secretase in an Alzheimer’s disease model
Current therapies for Alzheimer’s disease (AD) are symptomatic and do not target the underlying Aβ pathology and other important hallmarks including neuronal loss. PPARγ-coactivator-1α (PGC-1α) is a cofactor for transcription factors including the peroxisome proliferator-activated receptor-γ (PPARγ), and it is involved in the regulation of metabolic genes, oxidative phosphorylation, and mitochondrial biogenesis. We previously reported that PGC-1α also regulates the transcription of β-APP cleaving enzyme (BACE1), the main enzyme involved in Aβ generation, and its expression is decreased in AD patients. We aimed to explore the potential therapeutic effect of PGC-1α by generating a lentiviral vector to express human PGC-1α and target it by stereotaxic delivery to hippocampus and cortex of APP23 transgenic mice at the preclinical stage of the disease. Four months after injection, APP23 mice treated with hPGC-1α showed improved spatial and recognition memory concomitant with a significant reduction in Aβ deposition, associated with a decrease in BACE1 expression. hPGC-1α overexpression attenuated the levels of proinflammatory cytokines and microglial activation. This effect was accompanied by a marked preservation of pyramidal neurons in the CA3 area and increased expression of neurotrophic factors. The neuroprotective effects were secondary to a reduction in Aβ pathology and neuroinflammation, because wild-type mice receiving the same treatment were unaffected. These results suggest that the selective induction of PGC-1α gene in specific areas of the brain is effective in targeting AD-related neurodegeneration and holds potential as therapeutic intervention for this disease
PPAR gamma-coactivator-1 alpha gene transfer reduces neuronal loss and amyloid-beta generation by reducing beta-secretase in an Alzheimer's disease model
Current therapies for Alzheimer’s disease (AD) are symptomatic and do not target the underlying Aβ pathology and other important hallmarks including neuronal loss. PPARγ-coactivator-1α (PGC-1α) is a cofactor for transcription factors including the peroxisome proliferator-activated receptor-γ (PPARγ), and it is involved in the regulation of metabolic genes, oxidative phosphorylation, and mitochondrial biogenesis. We previously reported that PGC-1α also regulates the transcription of β-APP cleaving enzyme (BACE1), the main enzyme involved in Aβ generation, and its expression is decreased in AD patients. We aimed to explore the potential therapeutic effect of PGC-1α by generating a lentiviral vector to express human PGC-1α and target it by stereotaxic delivery to hippocampus and cortex of APP23 transgenic mice at the preclinical stage of the disease. Four months after injection, APP23 mice treated with hPGC-1α showed improved spatial and recognition memory concomitant with a significant reduction in Aβ deposition, associated with a decrease in BACE1 expression. hPGC-1α overexpression attenuated the levels of proinflammatory cytokines and microglial activation. This effect was accompanied by a marked preservation of pyramidal neurons in the CA3 area and increased expression of neurotrophic factors. The neuroprotective effects were secondary to a reduction in Aβ pathology and neuroinflammation, because wild-type mice receiving the same treatment were unaffected. These results suggest that the selective induction of PGC-1α gene in specific areas of the brain is effective in targeting AD-related neurodegeneration and holds potential as therapeutic intervention for this disease
Evolution of structure and mechanical properties of hard yet fracture resistant WBC coatings with varying C/W ratio
Transmembrane TNF-\uce\ub1 density, but not soluble TNF-\uce\ub1 level, is associated with primary response to infliximab in inflammatory bowel disease
Clinical and molecular characterization of three patients with Hepatocerebral form of mitochondrial DNA depletion syndrome: A case series
Compact Metasurface Terahertz Spectrometer
The electromagnetic spectrum in the terahertz frequency region is of
significant importance for understanding the formation and evolution of
galaxies and stars throughout the history of the universe and the process of
planet formation. Within the star forming clouds the constituent atoms and
molecules are excited to produce characteristic emission and absorption lines,
many of which happen at the terahertz frequencies. Thus, detecting the spectral
signatures as unique fingerprints of molecules and atoms require terahertz
spectrometers, which need to be operated in a space observatory because of the
water vapor absorption in the earth atmosphere. However, current terahertz
spectrometers face several challenges that limit their performances and
applications, including a low resolution, limited bandwidth, large volume, and
complexity. In this paper, we address the last two issues by demonstrating a
concept of a compact terahertz spectrometer using metasurface. We start by
modelling, designing, and fabricating a metasurface, aiming to optimize its
performance within a band from 1.7 to 2.5 THz. Next, we make use of an array of
quantum cascade lasers that operate at slightly different frequencies around
2.1 THz to validate the performance of the spectrometer. Finally, we apply the
spectrum inversion method to analyse the measured data to confirm a resolution
R of at least 273. Our results demonstrated a miniaturized terahertz
spectrometer concept successfully
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