Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowd.

Recent technological developments allow us to measure the status of dozens of proteins in individual cells. This opens the way to understand the heterogeneity of complex multi-signaling networks across cells and cell types, with important implications to understand and treat diseases such as cancer. These technologies are, however, limited to proteins for which antibodies are available and are fairly costly, making predictions of new markers and of existing markers under new conditions a valuable alternative. To assess our capacity to make such predictions and boost further methodological development, we organized the Single Cell Signaling in Breast Cancer DREAM challenge. We used a mass cytometry dataset, covering 36 markers in over 4,000 conditions totaling 80 million single cells across 67 breast cancer cell lines. Through four increasingly difficult subchallenges, the participants predicted missing markers, new conditions, and the time-course response of single cells to stimuli in the presence and absence of kinase inhibitors. The challenge results show that despite the stochastic nature of signal transduction in single cells, the signaling events are tightly controlled and machine learning methods can accurately predict new experimental data

Structural and mechanistic insights into the biosynthesis of CDP-archaeol in membranes

The divergence of archaea, bacteria and eukaryotes was a fundamental step in evolution. One marker of this event is a major difference in membrane lipid chemistry between these kingdoms. Whereas the membranes of bacteria and eukaryotes primarily consist of straight fatty acids ester-bonded to glycerol-3-phosphate, archaeal phospholipids consist of isoprenoid chains ether-bonded to glycerol-1-phosphate. Notably, the mechanisms underlying the biosynthesis of these lipids remain elusive. Here, we report the structure of the CDP-archaeol synthase (CarS) of Aeropyrum pernix (ApCarS) in the CTP- and Mg(2+)-bound state at a resolution of 2.4 Å. The enzyme comprises a transmembrane domain with five helices and cytoplasmic loops that together form a large charged cavity providing a binding site for CTP. Identification of the binding location of CTP and Mg(2+) enabled modeling of the specific lipophilic substrate-binding site, which was supported by site-directed mutagenesis, substrate-binding affinity analyses, and enzyme assays. We propose that archaeol binds within two hydrophobic membrane-embedded grooves formed by the flexible transmembrane helix 5 (TM5), together with TM1 and TM4. Collectively, structural comparisons and analyses, combined with functional studies, not only elucidated the mechanism governing the biosynthesis of phospholipids with ether-bonded isoprenoid chains by CTP transferase, but also provided insights into the evolution of this enzyme superfamily from archaea to bacteria and eukaryotes.Cell Research advance online publication 29 September 2017; doi:10.1038/cr.2017.122

Structural and Functional Insights into an Archaeal Lipid Synthase

The UbiA superfamily of intramembrane prenyltransferases catalyzes an isoprenyl transfer reaction in the biosynthesis of lipophilic compounds involved in cellular physiological processes. Digeranylgeranylglyceryl phosphate (DGGGP) synthase (DGGGPase) generates unique membrane core lipids for the formation of the ether bond between the glycerol moiety and the alkyl chains in archaea and has been confirmed to be a member of the UbiA superfamily. Here, the crystal structure is reported to exhibit nine transmembrane helices along with a large lateral opening covered by a cytosolic cap domain and a unique substrate-binding central cavity. Notably, the lipid-bound states of this enzyme demonstrate that the putative substrate-binding pocket is occupied by the lipidic molecules used for crystallization, indicating the binding mode of hydrophobic substrates. Collectively, these structural and functional studies provide not only an understanding of lipid biosynthesis by substrate-specific lipid-modifying enzymes but also insights into the mechanisms of lipid membrane remodeling and adaptation

Correction:Structural and Functional Insights into an Archaeal Lipid Synthase

(Cell Reports 33, 108294-1–9.e1–e4; October 20, 2020) In the originally published version of this article, the supplemental information file containing Figures S1–S7 and Table S1 was inadvertently removed. The complete supplemental information file is now included with the paper online. The production team regrets this error

Treatment seeking for alcohol and drug use disorders by immigrants to the Netherlands: Retrospective, population-based, cohort study

Background We compared risks of first contact with services for an alcohol use disorder (AUD) or drug use disorder (DUD) between the largest immigrant groups to the Netherlands and Dutch nationals. We tested the hypothesis that the ethnic pattern for DUD is similar to the previously demonstrated pattern for schizophrenia. Methods Retrospective, population-based cohort study of First Admissions to Dutch psychiatric hospitals during the period 1990-1996 (national data) and First Contacts with inpatient or outpatient centres in Rotterdam for treatment of AUD or DUD during the period 1992-2001 (Rotterdam data). Results In both datasets the risk of service contact for AUD was significantly lower in immigrants from Surinam, Turkey and Morocco than in Dutch nationals. The risk was lower or moderately higher in immigrants from western countries. Analysis of the national data showed that, compared with Dutch males, the risk of first hospital admission for DUD was higher for male immigrants from the Dutch Antilles (RR = 4.6; 95% CI: 4.0-5.3), Surinam (RR = 4.3; 3.94.7) and Morocco (RR = 23; 2.0-2.6), but not for male immigrants from Turkey (RR = 0.9; 0.7-1.1). A similar pattern was found with the Rotterdam data. Female immigrants from Surinam and the Dutch Antilles had a higher risk for DUD according to the national data, but a lower risk according to the Rotterdam data. Female immigrants from Turkey and Morocco had a lower risk (both datasets). Immigrants from western countries had a higher risk for DUD, but many had developed the disorder before emigrating. Conclusion Those immigrant groups in the Netherlands that are at increased risk of schizophrenia appear also at increased risk of developing DUD, but not AUD

Modelling credit spreads with time volatility, skewness, and kurtosis

This paper seeks to identify the macroeconomic and financial factors that drive credit spreads on bond indices in the US credit market. To overcome the idiosyncratic nature of credit spread data reflected in time varying volatility, skewness and thick tails, it proposes asymmetric GARCH models with alternative probability density functions. The results show that credit spread changes are mainly explained by the interest rate and interest rate volatility, the slope of the yield curve, stock market returns and volatility, the state of liquidity in the corporate bond market and, a heretofore overlooked variable, the foreign exchange rate. They also confirm that the asymmetric GARCH models and Student-t distributions are systematically superior to the conventional GARCH model and the normal distribution in in-sample and out-of-sample testing