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Epigenetic memory in induced pluripotent stem cells.
Somatic cell nuclear transfer and transcription-factor-based reprogramming revert adult cells to an embryonic state, and yield pluripotent stem cells that can generate all tissues. Through different mechanisms and kinetics, these two reprogramming methods reset genomic methylation, an epigenetic modification of DNA that influences gene expression, leading us to hypothesize that the resulting pluripotent stem cells might have different properties. Here we observe that low-passage induced pluripotent stem cells (iPSCs) derived by factor-based reprogramming of adult murine tissues harbour residual DNA methylation signatures characteristic of their somatic tissue of origin, which favours their differentiation along lineages related to the donor cell, while restricting alternative cell fates. Such an 'epigenetic memory' of the donor tissue could be reset by differentiation and serial reprogramming, or by treatment of iPSCs with chromatin-modifying drugs. In contrast, the differentiation and methylation of nuclear-transfer-derived pluripotent stem cells were more similar to classical embryonic stem cells than were iPSCs. Our data indicate that nuclear transfer is more effective at establishing the ground state of pluripotency than factor-based reprogramming, which can leave an epigenetic memory of the tissue of origin that may influence efforts at directed differentiation for applications in disease modelling or treatment
Effect of entropy on the dynamics of supercooled liquids: New results from high pressure data
We show that for arbitrary thermodynamic conditions, master curves of the
entropy are obtained by expressing S(T,V) as a function of TV^g_G, where T is
temperature, V specific volume, and g_G the thermodynamic Gruneisen parameter.
A similar scaling is known for structural relaxation times,tau = f(TV^g);
however, we find g_G < g. We show herein that this inequality reflects
contributions to S(T,V) from processes, such as vibrations and secondary
relaxations, that do not directly influence the supercooled dynamics. An
approximate method is proposed to remove these contributions, S_0, yielding the
relationship tau = f(S-S_0).Comment: 10 pages 7 figure
The Eyes Have It: Sex and Sexual Orientation Differences in Pupil Dilation Patterns
Recent research suggests profound sex and sexual orientation differences in sexual response. These results, however, are based on measures of genital arousal, which have potential limitations such as volunteer bias and differential measures for the sexes. The present study introduces a measure less affected by these limitations. We assessed the pupil dilation of 325 men and women of various sexual orientations to male and female erotic stimuli. Results supported hypotheses. In general, self-reported sexual orientation corresponded with pupil dilation to men and women. Among men, substantial dilation to both sexes was most common in bisexual-identified men. In contrast, among women, substantial dilation to both sexes was most common in heterosexual-identified women. Possible reasons for these differences are discussed. Because the measure of pupil dilation is less invasive than previous measures of sexual response, it allows for studying diverse age and cultural populations, usually not included in sexuality research
Probing host pathogen cross-talk by transcriptional profiling of both Mycobacterium tuberculosis and infected human dendritic cells and macrophages
This study provides the proof of principle that probing the host and the microbe transcriptomes simultaneously is a valuable means to accessing unique information on host pathogen interactions. Our results also underline the extraordinary plasticity of host cell and pathogen responses to infection, and provide a solid framework to further understand the complex mechanisms involved in immunity to M. tuberculosis and in mycobacterial adaptation to different intracellular environments
Foundations of Black Hole Accretion Disk Theory
This review covers the main aspects of black hole accretion disk theory. We
begin with the view that one of the main goals of the theory is to better
understand the nature of black holes themselves. In this light we discuss how
accretion disks might reveal some of the unique signatures of strong gravity:
the event horizon, the innermost stable circular orbit, and the ergosphere. We
then review, from a first-principles perspective, the physical processes at
play in accretion disks. This leads us to the four primary accretion disk
models that we review: Polish doughnuts (thick disks), Shakura-Sunyaev (thin)
disks, slim disks, and advection-dominated accretion flows (ADAFs). After
presenting the models we discuss issues of stability, oscillations, and jets.
Following our review of the analytic work, we take a parallel approach in
reviewing numerical studies of black hole accretion disks. We finish with a few
select applications that highlight particular astrophysical applications:
measurements of black hole mass and spin, black hole vs. neutron star accretion
disks, black hole accretion disk spectral states, and quasi-periodic
oscillations (QPOs).Comment: 91 pages, 23 figures, final published version available at
http://www.livingreviews.org/lrr-2013-
Increased Breadth and Depth of Cytotoxic T Lymphocytes Responses against HIV-1-B Nef by Inclusion of Epitope Variant Sequences
Different vaccine approaches cope with HIV-1
diversity, ranging from
centralized1–4 to
variability-encompassing5–7
antigens. For all these strategies, a concern
remains: how does HIV-1 diversity impact epitope
recognition by the immune system? We studied the
relationship between HIV-1 diversity and
CD8+ T Lymphocytes (CTL) targeting
of HIV-1 subtype B Nef using 944 peptides (10-mers
overlapping by nine amino acids (AA)) that
corresponded to consensus peptides and their most
common variants in the HIV-1-B virus population.
IFN-γ ELISpot assays were performed using
freshly isolated PBMC from 26 HIV-1-infected
persons. Three hundred and fifty peptides elicited
a response in at least one individual. Individuals
targeted a median of 7 discrete regions. Overall,
33% of responses were directed against
viral variants but not elicited against
consensus-based test peptides. However, there was
no significant relationship between the frequency
of a 10-mer in the viral population and either its
frequency of recognition (Spearman's
correlation coefficient
ρ = 0.24) or the
magnitude of the responses
(ρ = 0.16). We found that
peptides with a single mutation compared to the
consensus were likely to be recognized (especially
if the change was conservative) and to elicit
responses of similar magnitude as the consensus
peptide. Our results indicate that
cross-reactivity between rare and frequent
variants is likely to play a role in the expansion
of CTL responses, and that maximizing antigenic
diversity in a vaccine may increase the breadth
and depth of CTL responses. However, since there
are few obvious preferred pathways to virologic
escape, the diversity that may be required to
block all potential escape pathways may be too
large for a realistic vaccine to accommodate.
Furthermore, since peptides were not recognized
based on their frequency in the population, it
remains unclear by which mechanisms
variability-inclusive antigens (i.e., constructs
enriched with frequent variants) expand CTL
recognition
Comb-Based Radio-Frequency Photonic Filters with Rapid Tunability and High Selectivity
Photonic technologies have received considerable attention for enhancement of
radio-frequency (RF) electrical systems, including high-frequency analog signal
transmission, control of phased arrays, analog-to-digital conversion, and
signal processing. Although the potential of radio-frequency photonics for
implementation of tunable electrical filters over broad RF bandwidths has been
much discussed, realization of programmable filters with highly selective
filter lineshapes and rapid reconfigurability has faced significant challenges.
A new approach for RF photonic filters based on frequency combs offers a
potential route to simultaneous high stopband attenuation, fast tunability, and
bandwidth reconfiguration. In one configuration tuning of the RF passband
frequency is demonstrated with unprecedented (~40 ns) speed by controlling the
optical delay between combs. In a second, fixed filter configuration, cascaded
four-wave mixing simultaneously broadens and smoothes comb spectra, resulting
in Gaussian RF filter lineshapes exhibiting extremely high (>60 dB) main lobe
to sidelobe suppression ratio and (>70 dB) stopband attenuation.Comment: Updated the submission with the most recent version of the pape
Garden and landscape-scale correlates of moths of differing conservation status: significant effects of urbanization and habitat diversity
Moths are abundant and ubiquitous in vegetated terrestrial environments and are pollinators, important herbivores of wild plants, and food for birds, bats and rodents. In recent years, many once abundant and widespread species have shown sharp declines that have been cited by some as indicative of a widespread insect biodiversity crisis. Likely causes of these declines include agricultural intensification, light pollution, climate change, and urbanization; however, the real underlying cause(s) is still open to conjecture. We used data collected from the citizen science Garden Moth Scheme (GMS) to explore the spatial association between the abundance of 195 widespread British species of moth, and garden habitat and landscape features, to see if spatial habitat and landscape associations varied for species of differing conservation status. We found that associations with habitat and landscape composition were species-specific, but that there were consistent trends in species richness and total moth abundance. Gardens with more diverse and extensive microhabitats were associated with higher species richness and moth abundance; gardens near to the coast were associated with higher richness and moth abundance; and gardens in more urbanized locations were associated with lower species richness and moth abundance. The same trends were also found for species classified as increasing, declining and vulnerable under IUCN (World Conservation Union) criteria
Childhood solid tumours in relation to population mixing around the time of birth
In a retrospective cohort study of 673 787 live births in the Northern Region of England, 1975 - 1994, we investigated whether a higher level of population mixing around birth was a risk factor for solid tumours, by diagnostic group (Hodgkin's disease, brain and spinal tumours, neuroblastoma, other solid tumours), diagnosed during 1975-2001 under age 15 years. Logistic regression was used to relate risk to population mixing, based on (i) all movers and (ii) incomers from outside the region. Both ward and county district level analyses were performed. There was a decreased risk of brain and spinal tumours with increasing population mixing based on incomers from outside the region (OR for trend across three categories = 0.79, 95% CI: 0.66-0.95, P = 0.01 in the ward level analysis). Although this may be because of chance, it is consistent with a role of exposure to infection and immunological response in the aetiology of these tumours. For other tumour groups, there was no consistent evidence of an association between risk and population mixing
Image informatics strategies for deciphering neuronal network connectivity
Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies
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