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We recently reported that p28, one of the two turnip crinkle virus (TCV) replication proteins, trans-complemented a defective TCV lacking p28, yet repressed the replication of another TCV replicon encoding wildtype p28 (Zhang et al., 2017). Here we show that p88, the TCV-encoded RNA-dependent RNA polymerase, likewise trans-complemented a p88-defective TCV replicon, but repressed one encoding wild-type p88. Surprisingly, lowering p88 protein levels enhanced trans-complementation, but weakened repression. Repression by p88 was not simply due to protein over-expression, as deletion mutants missing 127 or 224 N-terminal amino acids accumulated to higher levels but were poor repressors. Finally, both trans-complementation and repression by p88 were accompanied by preferential accumulation of subgenomic RNA2, and a novel class of small TCV RNAs. Our results suggest that repression of TCV replication by p88 may manifest a viral mechanism that regulates the ratio of genomic and subgenomic RNAs based on p88 abundance. 

We recently reported that p28, one of the two turnip crinkle virus (TCV) replication proteins, trans-complemented a defective TCV lacking p28, yet repressed the replication of another TCV replicon encoding wildtype p28 (Zhang et al., 2017). Here we show that p88, the TCV-encoded RNA-dependent RNA polymerase, likewise trans-complemented a p88-defective TCV replicon, but repressed one encoding wild-type p88. Surprisingly, lowering p88 protein levels enhanced trans-complementation, but weakened repression. Repression by p88 was not simply due to protein over-expression, as deletion mutants missing 127 or 224 N-terminal amino acids accumulated to higher levels but were poor repressors. Finally, both trans-complementation and repression by p88 were accompanied by preferential accumulation of subgenomic RNA2, and a novel class of small TCV RNAs. Our results suggest that repression of TCV replication by p88 may manifest a viral mechanism that regulates the ratio of genomic and subgenomic RNAs based on p88 abundance. 

How bio-membranes are self-organized to perform their functions remains a pivotal issue in biological and chemical science. Understanding the self-assembly principles of lipid-like molecules hence becomes crucial. Here we report the meso-structural evolution of amphiphilic sphere-rod conjugates (giant lipids), and study the roles of geometric parameters (head-tail ratio and cross-section area) during this course. As a prototype system, giant lipids resemble natural lipidic molecules by capturing their essential features including head-tail configuration, monodispersed molecular weight distribution and minor interpenetration of hydrophobic tails. We demonstrate the self-assembly behavior of two categories of giant lipids (I-shape and T-shape, a total of 8 molecules). A rich variety of meso-structures are constructed in solution state and their molecular packing models are rationally understood. We streamline the driving forces of morphological evolution from both geometric and thermodynamic perspective. Giant lipids recast the phase behavior of both linear and branched lipidic molecules to certain degree, while the abundant self-assembled morphologies reveal distinct physiochemical behaviors when geometric parameters deviate from natural analogues. 

A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.