159 research outputs found
Voltage-gating and assembly of split Kv10.1 channels
Voltage-gated ion channels allow ions to pass cell membrane upon changes of transmembrane electrical potential. Conformational changes in the voltage-sensing domain of the channel (VSD) are assumed to be transmitted to the pore domain (PD) through an alpha-helical linker between them (S4-S5 linker). We have previously shown that expression of VSD and PD as separate fragments results in functional Kv10.1 channels that retain voltage-dependence. Here we used such ‘split’ channels to investigate functional interactions between VSD and PD. We found that their electrophysiological properties greatly depend on where the S4-S5 linker is interrupted. Remarkably, wild-type-like channel behavior could be fully or largely restored by mutations of crucial linker amino acids, indicating that precise functional interactions between VSD and PD remain when they are not covalently bound. Voltage-Clamp Fluorometry measurements revealed that VSD motion is alerted in specific split channels, but these changes were subtler. Finally, the increased separation between VSD activation and channel opening in the split channel carrying a large deletion in the S4-S5 linker, as well as the failure of the PD expressed alone to give currents, suggest that the role of the VSD in the is to open the channel pore and prevent it from closing
De Novo Drug Design with Joint Transformers
De novo drug design requires simultaneously generating novel molecules
outside of training data and predicting their target properties, making it a
hard task for generative models. To address this, we propose Joint Transformer
that combines a Transformer decoder, Transformer encoder, and a predictor in a
joint generative model with shared weights. We formulate a probabilistic
black-box optimization algorithm that employs Joint Transformer to generate
novel molecules with improved target properties and outperforms other
SMILES-based optimization methods in de novo drug design.Comment: Accepted to NeurIPS 2023 Generative AI and Biology Worksho
A Census of Mid-Infrared Selected Active Galactic Nuclei in Massive Galaxy Clusters at 0 < z < 1.3
We conduct a deep mid-infrared census of nine massive galaxy clusters at (0 = 3 sigma level, we identify 12 that host mid-infrared selected active galactic nuclei (IR-AGN). To compare the IR-AGN across our redshift range, we define two complete samples of cluster galaxies: (1) optically-selected members with rest-frame VAB magnitude 0.5 Mpc) and are hosted by highly morphologically disturbed members. Although our sample is limited, our results suggest that f_IR-AGN in massive galaxy clusters is not strongly correlated with star formation at z < 1, and that IR-AGN have a more prominent role at z > 1
Tracking Galaxy Growth During the Past 11 Billion Years with Deep Near Infrared Surveys
Using observations from the FourStar Galaxy Evolution Survey (ZFOURGE), we obtain the deepest measurements to date of the galaxy stellar mass function (SMF) at z < 3. With these data, we find evidence for a steepening of the slope at the low-mass end of the SMF at z ≤ 2, a feature that had only been identified at z ≤ 1. These measurements also allow us for the first time to observe a rapid buildup of low-mass quiescent galaxies and help to constrain the growth rates of galaxies.
We next explore star-formation histories (SFHs) of galaxies based on the evolution of the correlation between the star-formation rate and stellar mass of galaxies (SFR−M∗) and compare to the buildup of stellar mass predicted from the evolution of the SMF. By integrating along the SFR−M∗ sequence we generate differential SFHs and estimate stellar mass-growth histories. We find that these integrated SFHs are in broad qualitative agreement with the SMF, but that they do disagree in detail. At early times the SFHs suggest mass-growth rates that are as much as 0.5 dex higher than inferred from the stellar mass function.
Lastly, we look into the prevalence of a possible source of feedback preventing star-formation using mid-IR data from the Spitzer Space Telescope with established color selection criteria to identify galaxies hosting active galactic nuclei (AGN). Of the 949 cluster galaxies in our IR-detected sample we identify 12 that are consistent with hosting AGN. We thus measure the fraction of cluster galaxies that host an IR-AGN for a magnitude-limited subsample (fIR−AGN) to be ≈ 0.6% with a strong upper limit of 3.4% at the 99% confidence level at z 1
Z-FIRE: ISM properties of the z = 2.095 COSMOS Cluster
We investigate the ISM properties of 13 star-forming galaxies within the z~2
COSMOS cluster. We show that the cluster members have [NII]/Ha and [OIII]/Hb
emission-line ratios similar to z~2 field galaxies, yet systematically
different emission-line ratios (by ~0.17 dex) from the majority of local
star-forming galaxies. We find no statistically significant difference in the
[NII]/Ha and [OIII]/Hb line ratios or ISM pressures among the z~2 cluster
galaxies and field galaxies at the same redshift. We show that our cluster
galaxies have significantly larger ionization parameters (by up to an order of
magnitude) than local star-forming galaxies. We hypothesize that these high
ionization parameters may be associated with large specific star formation
rates (i.e. a large star formation rate per unit stellar mass). If this
hypothesis is correct, then this relationship would have important implications
for the geometry and/or the mass of stars contained within individual star
clusters as a function of redshift.Comment: 11 pages, 5 figures, accepted for publication in Ap
ZFIRE: Using H equivalent widths to investigate the in situ initial mass function at z~2
We use the ZFIRE survey (http://zfire.swinburne.edu.au) to investigate the
high mass slope of the initial mass function (IMF) for a mass-complete
(log10(M/M)~9.3) sample of 102 star-forming galaxies at z~2 using
their H equivalent widths (H-EW) and rest-frame optical
colours. We compare dust-corrected H-EW distributions with predictions
of star-formation histories (SFH) from PEGASE.2 and Starburst99 synthetic
stellar population models. We find an excess of high H-EW galaxies that
are up to 0.3--0.5 dex above the model-predicted Salpeter IMF locus and the
H-EW distribution is much broader (10--500 \AA) than can easily be
explained by a simple monotonic SFH with a standard Salpeter-slope IMF. Though
this discrepancy is somewhat alleviated when it is assumed that there is no
relative attenuation difference between stars and nebular lines, the result is
robust against observational biases, and no single IMF (i.e. non-Salpeter
slope) can reproduce the data. We show using both spectral stacking and Monte
Carlo simulations that starbursts cannot explain the EW distribution. We
investigate other physical mechanisms including models with variations in
stellar rotation, binary star evolution, metallicity, and the IMF upper-mass
cutoff. IMF variations and/or highly rotating extreme metal poor stars
(Z~0.1Z) with binary interactions are the most plausible explanations
for our data. If the IMF varies, then the highest H-EWs would require
very shallow slopes (>-1.0) with no one slope able to reproduce the
data. Thus, the IMF would have to vary stochastically. We conclude that the
stellar populations at z~2 show distinct differences from local populations and
there is no simple physical model to explain the large variation in
H-EWs at z~2.Comment: Accepted to MNRAS. 43 pages, 27 Figures. Survey website:
http://zfire.swinburne.edu.au
The Properties of Radio Galaxies and the Effect of Environment in Large Scale Structures at
In this study we investigate 89 radio galaxies that are
spectroscopically-confirmed to be members of five large scale structures in the
redshift range of . Based on a two-stage classification
scheme, the radio galaxies are classified into three sub-classes: active
galactic nucleus (AGN), hybrid, and star-forming galaxy (SFG). We study the
properties of the three radio sub-classes and their global and local
environmental preferences. We find AGN hosts are the most massive population
and exhibit quiescence in their star-formation activity. The SFG population has
a comparable stellar mass to those hosting a radio AGN but are unequivocally
powered by star formation. Hybrids, though selected as an intermediate
population in our classification scheme, were found in almost all analyses to
be a unique type of radio galaxies rather than a mixture of AGN and SFGs. They
are dominated by a high-excitation radio galaxy (HERG) population. We discuss
environmental effects and scenarios for each sub-class. AGN tend to be
preferentially located in locally dense environments and in the cores of
clusters/groups, with these preferences persisting when comparing to galaxies
of similar colour and stellar mass, suggesting that their activity may be
ignited in the cluster/group virialized core regions. Conversely, SFGs exhibit
a strong preference for intermediate-density global environments, suggesting
that dusty starbursting activity in LSSs is largely driven by galaxy-galaxy
interactions and merging.Comment: 28 pages, 10 figures, accepted to MNRA
ZFIRE: A KECK/MOSFIRE Spectroscopic Survey of Galaxies in Rich Environments at z~2
We present an overview and the first data release of ZFIRE, a spectroscopic
redshift survey of star-forming galaxies that utilizes the MOSFIRE instrument
on Keck-I to study galaxy properties in rich environments at . ZFIRE
measures accurate spectroscopic redshifts and basic galaxy properties derived
from multiple emission lines. The galaxies are selected from a stellar mass
limited sample based on deep near infra-red imaging () and
precise photometric redshifts from the ZFOURGE and UKIDSS surveys as well as
grism redshifts from 3DHST. Between 2013--2015 ZFIRE has observed the COSMOS
and UDS legacy fields over 13 nights and has obtained 211 galaxy redshifts over
from a combination of nebular emission lines (such as \Halpha,
\NII, \Hbeta, \OII, \OIII, \SII) observed at 1--2\micron. Based on our
medium-band NIR photometry, we are able to spectrophotometrically flux
calibrate our spectra to \around10\% accuracy. ZFIRE reaches emission
line flux limits of \around with a
resolving power of and reaches masses down to \around10\msol. We
confirm that the primary input survey, ZFOURGE, has produced photometric
redshifts for star-forming galaxies (including highly attenuated ones) accurate
to with outliers. We measure a
slight redshift bias of , and we note that the redshift bias tends to
be larger at higher masses. We also examine the role of redshift on the
derivation of rest-frame colours and stellar population parameters from SED
fitting techniques. The ZFIRE survey extends spectroscopically-confirmed samples across a richer range of environments, here we make available the
first public release of the data for use by the
community.\footnote{\url{http://zfire.swinburne.edu.au}}Comment: Published in ApJ. Data available at http://zfire.swinburne.edu.au,
Code for figures at https://github.com/themiyan/zfire_survey, 31 pages, 24
figure
Treatment of severe mitral regurgitation with MitraClip system — a single-centre study
Introduction. MitraClip (MC) is a catheter-based device to treat mitral regurgitation (MR). This method uses a transseptal approach and is based on the creation of a double orifice mitral valve by suturing of the middle scallops of the mitral valve’s leaflets.
Aim. The aim of the study was to assess the effectiveness of MC method in treating patients with severe MR. We analysed MR severity, patient’s clinical condition evaluated by New York Heart Association (NYHA) functional class, and the function of the left ventricle evaluated by Left Ventricle Ejection Fraction (LVEF).
Methods. A retrospective single-centre study with patients hospitalised at the Department of Cardiology and Internal Medicine in Bydgoszcz. All diagnosed with severe MR and treated by performing MC procedure in the time period from August 2010 to December 2014. The following data from medical history (NYHA class) and echocardiography examinations (MR severity and LVEF) were analysed in three time points: before, right after the procedure, and after the follow-up period (four weeks since discharge).
Results. The studied group consisted of 11 patients — 8 male, 3 female, aged 64.4 ( ± 10.2) years, treated with MC. All of the three analysed parameters improved relevantly as a result of the evaluated procedure. The percentage of patients classified as NYHA class III/IV presents as follows: 90% before the procedure, 55% after MC implantation (ns), and 44% after the follow-up period (p = 0.01). All patients suffered from severe-to-moderate (3+) and severe (4+) MR before the procedure. After implantation only 9% (ns) were still classified with 3+/4+ MR, and after the follow-up this percentage reached 18% (p = 0.0005). We observed relevant changes of LVEF. The average LVEF at baseline was 27.9 ± 2%, which increased to 29.6 ± 2% (ns) after the MC implantation and 34 ± 7% (p = 0.02) after the follow-up.
Conclusion. MC therapy is effective in patients with severe symptomatic MR with congestive heart failure and decreased LVEF. It reduces MR severity both acutely and after the follow-up period and improves NYHA class and LVEF.
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