The aim of this study was to investigate the prevalence of co-infection of hepatitis A and hepatitis E virus (HAV/HEV) in patients with acute hepatitis as well as in different animal species. A total of 46 serum samples from patients diagnosed as hepatitis A or hepatitis E and 675 fecal samples of 11 animal species were collected. The IgM class antibodies to HEV and HAV, respectively, were detected by enzyme-linked immunosorbent assay. HEV and HAV RNAs were extracted from serum and fecal samples for the nested reverse transcription polymerase chain reaction. At least 10.9% (5/46) of the patients were co-infected with both HAV and HEV. Fifteen percent (18/120) of rabbit fecal samples and 17.5% (7/40) of swine fecal samples were positive for HEV RNA, but only 1% (2/200) of ferret fecal samples were positive for HAV RNA. Our study showed that co-infection with both HAV and HEV in patients and animals is infrequent. At least in our study, we showed that ferrets may represent the potential HAV hosts.  https://www.selleckchem.com/products/ptc-209.html  Keywords hepatitis A virus; hepatitis E virus; co-infection; zoonosis; prevalence.Andrias davidianus ranavirus 1R (ADRV-1R), a core gene of the family Iridoviridae, is predicted to encode a viral transcription factor (vTF) since the protein contains a virus late transcription factor-3 like (VLTF3 like) domain. However, its characteristics and function are still unclear. In this study, the transcription and expression of ADRV-1R were investigated in Chinese giant salamander thymus cells (GSTCs). ADRV-1R transcription starts 6 hours post-infection (hpi), while the protein expression starts 8 hpi. Drug inhibition assay showed that the transcripts are inhibited by cycloheximide (CHX), a de novo protein synthesis inhibitor, indicating that ADRV-1R is a viral delayed-early (DE) gene. Subcellular localization showed that ADRV-1R is distributed in the cell nucleus and cytoplasm. The effect of ADRV-1R overexpression on cell proliferation and virus titer was analyzed. ADRV-1R overexpression significantly promoted the cell proliferation starting at day 2. Flow cytometry analysis further indicated that the protein promotes the GSTC cell cycle progression from G1 phase into S phase (G1/S transition). Moreover, ADRV-1R overexperession significantly increased ADRV titer in GSTCs. The virus titer was 6.3-6.9-fold higher at 36 hpi and further after than the control GSTC lines. These data showed that ADRV-1R is a delayed-early protein promoting cell proliferation and virus titers. Keywords ranavirus; Andrias davidianus ranavirus; core gene; cell cycle; cell proliferations.The human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) pandemic constitutes one of the greatest public health issues, since 36.9 million people worldwide were living with HIV in 2017 and 940,000 died from AIDS- related illnesses in the same year. One of the main obstacles in the effort to achieve viral eradication or long-term virologic remission is the existence of the HIV-reservoir. Except for resting memory CD4+ T cells there is a plethora of innate immunity cells including macrophages, dendritic cells, follicular T helper cells and NK cells which are now considered to play a role in viral latency and persistence. Hematopoietic precursor cells and progenitor mast cells, astrocytes, fibrocytes, renal and liver epithelial cells could also contribute to the reservoir, but their role remains controversial. Tissue reservoirs, such as the central nervous system (CNS), lymphoid tissue, adipose tissue and the gut-associated-lymphoid-tissue (GALT) are usually referred to as anatomic sanctuaries, where it is difficult to achieve high concentration and efficacy of antiretroviral agents. Accurate quantification of this reservoir is of the utmost importance and multiple assays have been developed for this purpose. The role of several cell populations in viral latency needs to be clarified by further studies. Furthermore, there is an urgent need for new assays, which will accurately measure the size of the reservoir, which plays a key role in predicting the timing of viral rebound upon cessation of antiretroviral treatment, since the currently available ones either overestimate or underestimate the size and have significant limitations. Keywords HIV-1; cellular reservoirs; tissue reservoirs; quantification.Homogeneous ice nucleation involving a water flow is subject to shear, which may greatly affect the ice nucleation rate. In this work, we investigate the homogeneous ice nucleation rate under shear through molecular dynamics simulations. It is found that the ice nucleation rate changes nonlinearly with varying shear rates and reaches a maximum at an intermediate shear rate. Such a behavior is determined by two distinct effects of shear rates. On the one hand, shear increases the free energy barrier for the nucleation, which hinders the ice nucleation. On the other hand, shear enhances the diffusion of water molecules, assists the adsorption of water molecules on the ice nucleus, and consequently promotes the growth of ice nucleus. The latter effect dominates at low shear rates, while the former effect becomes significant at high shear rates. The competition between these two effects leads to a non-monotonic dependence of the ice nucleation rate on the shear rate.A copper-catalyzed cross-dehydrogenative C-H/N-H coupling has been devised to access a series of N-arylated sulfoximines in high yield from 8-aminoquinoline-derived benzamides and sulfoximines. The reaction is scalable, and mechanistic studies favor the involvement of an organometallic pathway, where C-H bond cleavage is presumed to be the kinetically relevant step. The utility of sulfoximine-coupled benzamides was displayed through the nickel-catalyzed acceptorless dehydrogenative olefination of benzyl alcohols.Electronically active organic molecules have demonstrated great promise as novel soft materials for energy harvesting and transport. Self-assembled nanoaggregates formed from π-conjugated oligopeptides composed of an aromatic core flanked by oligopeptide wings offer emergent optoelectronic properties within a water-soluble and biocompatible substrate. Nanoaggregate properties can be controlled by tuning core chemistry and peptide composition, but the sequence-structure-function relations remain poorly characterized. In this work, we employ coarse-grained molecular dynamics simulations within an active learning protocol employing deep representational learning and Bayesian optimization to efficiently identify molecules capable of assembling pseudo-1D nanoaggregates with good stacking of the electronically active π-cores. We consider the DXXX-OPV3-XXXD oligopeptide family, where D is an Asp residue and OPV3 is an oligophenylenevinylene oligomer (1,4-distyrylbenzene), to identify the top performing XXX tripeptides within all 203 = 8000 possible sequences.