7,635 research outputs found
Accelerated amyloid deposition, neurofibrillary degeneration and neuronal loss in double mutant APP/tau transgenic mice
Even though the idea that amyloid beta peptide accumulation is the primary event in the pathogenesis of Alzheimer's disease has become the leading hypothesis, the causal link between aberrant amyloid precursor protein processing and tau alterations in this type of dementia remains controversial. We further investigated the role of beta-amyloid production/deposition in tau pathology and neuronal cell death in the mouse brain by crossing Tg2576 and VLW lines expressing human mutant amyloid precursor protein and human mutant tau, respectively. The resulting double transgenic mice showed enhanced amyloid deposition accompanied by neurofibrillary degeneration and overt neuronal loss in selectively vulnerable brain limbic areas. These findings challenge the idea that tau pathology in Alzheimer's disease is merely a downstream effect of amyloid production/deposition and suggest that reciprocal interactions between beta-amyloid and tau alterations may take place in vivo
Chromosome and DNA methylation dynamics during meiosis in autotetraploid Arabidopsis arenosa
Variation in chromosome number due to
polyploidy can seriously compromise meiotic stability. In
autopolyploids, the presence of more than two homologous
chromosomes may result in complex pairing patterns
and subsequent anomalous chromosome
segregation. In this context, chromocenter, centromeric,
telomeric and ribosomal DNA locus topology and DNA
methylation patterns were investigated in the natural
autotetraploid, Arabidopsis arenosa. The data show that
homologous chromosome recognition and association
initiates at telomeric domains in premeiotic interphase,
followed by quadrivalent pairing of ribosomal 45S RNA
gene loci (known as NORs) at leptotene. On the other hand, centromeric regions at early leptotene show pairwise
associations rather than associations in fours. These
pairwise associations are maintained throughout prophase
I, and therefore likely to be related to the diploid-like
behavior of A. arenosa chromosomes at metaphase I,
where only bivalents are observed. In anthers, both cells
at somatic interphase as well as at premeiotic interphase
show 5-methylcytosine (5-mC) dispersed throughout the
nucleus, contrasting with a preferential co-localization
with chromocenters observed in vegetative nuclei. These
results show for the first time that nuclear distribution
patterns of 5-mC are simultaneously reshuffled in meiocytes
and anther somatic cells. During prophase I, 5-mC
is detected in extended chromatin fibers and chromocenters
but interestingly is excluded from the NORs what
correlates with the pairing patter
Study of B0(s)→K0Sh+h′− decays with first observation of B0s→K0SK±π∓ and B0s→K0Sπ+π−
A search for charmless three-body decays of B 0 and B0s mesons with a K0S meson in the final state is performed using the pp collision data, corresponding to an integrated luminosity of 1.0 fb−1, collected at a centre-of-mass energy of 7 TeV recorded by the LHCb experiment. Branching fractions of the B0(s)→K0Sh+h′− decay modes (h (′) = π, K), relative to the well measured B0→K0Sπ+π− decay, are obtained. First observation of the decay modes B0s→K0SK±π∓ and B0s→K0Sπ+π− and confirmation of the decay B0→K0SK±π∓ are reported. The following relative branching fraction measurements or limits are obtained B(B0→K0SK±π∓)B(B0→K0Sπ+π−)=0.128±0.017(stat.)±0.009(syst.), B(B0→K0SK+K−)B(B0→K0Sπ+π−)=0.385±0.031(stat.)±0.023(syst.), B(B0s→K0Sπ+π−)B(B0→K0Sπ+π−)=0.29±0.06(stat.)±0.03(syst.)±0.02(fs/fd), B(B0s→K0SK±π∓)B(B0→K0Sπ+π−)=1.48±0.12(stat.)±0.08(syst.)±0.12(fs/fd)B(B0s→K0SK+K−)B(B0→K0Sπ+π−)∈[0.004;0.068]at90%CL
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types
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