Identification and expression analysis of lncRNAs in rice roots (Oryza sativa L.) under elevated CO concentration and/or cadmium stress.

The gradual rise of CO is one of the global climate changes, Cd stress is also a major abiotic stress factor that affects rice (Oryza sativa L.). The rice seedlings were treated under two CO concentrations and two CdCl concentrations for 7 days (treatments names: 400 ± 20 μmol mol CO and 0 μmol L CdCl concentrations, AC; 400 ± 20 μmol mol CO and 150 μmol L CdCl concentrations, Cd; 800 ± 20 μmol mol CO and 0 μmol L CdCl concentrations, EC; 800 ± 20 μmol mol CO and 150 μmol L CdCl concentrations, EC + Cd).

Cell-penetrating peptides noncovalently modified red phosphorescent nanoparticles for high-efficiency imaging.

The application of long-lived phosphorescence probes in time-resolved luminescence imaging is limited by their low quantum yield in aqueous solutions. However, sensitization of thermally activated delayed fluorescence (TADF) materials can compensate for this limitation while addressing the issue of insufficient proportion of their own long lifetime. In this study, we utilized the characteristics of phosphorescence and TADF materials simultaneously by doping the receptor iridium complex PMD-Ir into the donor TADF polymer PCzDP-20 through donor-receptor doping method, and successfully prepared highly efficient red phosphorescent nanoparticles.

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.

Influenza viruses pose great threats to public health and cause enormous economic losses every year. Previous work has revealed the viral factors associated with the virulence of influenza viruses in mammals. However, taking prior viral knowledge represented by heterogeneous categorical and discrete information into account to explore virus virulence is scarce in the existing work.

Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences.

Background: A newly emerging novel coronavirus appeared and rapidly spread worldwide and World Health Organization declared a pandemic on March 11, 2020. The roles and characteristics of coronavirus have captured much attention due to its power of causing a wide variety of infectious diseases, from mild to severe, on humans. The detection of the lethality of human coronavirus is key to estimate the viral toxicity and provide perspectives for treatment.

The cis configuration of amino-modified tetraphenylethene for selective detection of single-stranded guanine-rich DNA.

The selectivity and sensitivity of amino-functionalized tetraphenylethene probes (namely Z-N2TPE and E-N2TPE) for ssDNA detection in aqueous solution were investigated. Both Z-N2TPE and E-N2TPE showed high selectivity to guanine-rich ssDNA. The sensitivity was found to be positively related to the DNA length, indicating the longer DNA could binding more probes to cause aggregation induced fluorescence.

PEGylated Poly-HDACi: A Designer Polyprodrug from Optimized Drug Units.

We designed, synthesized, and characterized a tri-block copolymer. Its hydrophobic part, a chain of histone deacetylase inhibitor (HDACi) prodrug, was symmetrically flanked by two identical PEG blocks, whereas the built-in HDACi was a linear molecule, terminated with a thiol at one end, and a hydroxyl group at the other. Such a feature facilitated end-to-end linkage of prodrugs through alternatively aligned disulfides and carbonates.

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.

Motivation: Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics. The evolution of influenza viruses remains to be the main obstacle in the effectiveness of antiviral treatments due to rapid mutations. Previous work has been investigated to reveal the determinants of virulence of the influenza A virus.