Analyse des pedigrees et calcul des coefficients d'identité par les arbres géniques

Two genes in a pedigree are identical by descent if they are two copies of a common ancestor gene. To obtain an unambiguous definition of the set of genes, at some autosomal locus, any gene is defined as an ordered pair of zygotes: the zygote who carries the gene, and the parent who transmitted it. The natural ordered structure on the set of zygotes yields an ordered structure upon the set of genes. Any event of the mendelian segregation splits down the set of genes into non-overlaping classes of identical genes: when considered as an ordered sub-set of genes, each class is shown to have the algebraic properties of a tree. Given a sub-set ?? of genes, a family of exclusive events ensuring identity between all genes of ?? is identified as a family of genic trees with some property. This relationship between segregational events and genic trees is extended to the case where two sub-sets ?? and ??′ of genes are considered together. As a consequence, a general method is obtained to compute either identity coefficients involving any number of genes splitted into one or two identity classes, or the fifteen coefficients defined among four genes, whichever the relationships between zygotes and genes might be. Using this approach to deal with the allelic structure in a set of genes carried by related zygotes is suggested.     

A triple-drug nanotherapy to target breast cancer cells,cancer stem cells,and tumor vasculature

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, accounting for the majority of breast cancer-related death. Due to the lack of specific therapeutic targets, chemotherapeutic agents (e.g., paclitaxel) remain the mainstay of systemic treatment, but enrich a subpopulation of cells with tumor-initiating capacity and stem-like characteristics called cancer stem cells (CSCs); thus development of a new and effective strategy for TNBC treatment is an unmet medical need. Cancer nanomedicine has transformed the landscape of cancer drug development, allowing for a high therapeutic index. In this study, we developed a new therapy by co-encapsulating clinically approved drugs, such as paclitaxel, verteporfin, and combretastatin (CA4) in polymer-lipid hybrid nanoparticles (NPs) made of FDA-approved biomaterials. Verteporfin is a drug used in the treatment of macular degeneration and has recently been found to inhibit the Hippo/YAP (Yes-associated protein) pathway, which is known to promote the progression of breast cancer and the development of CSCs. CA4 is a vascular disrupting agent and has been tested in phase II/III of clinical trials. We found that our new three drug-NP not only effectively inhibited TNBC cell viability and cell migration, but also significantly diminished paclitaxel-induced and/or CA4-induced CSC enrichment in TNBC cells, partially through inhibiting the upregulated Hippo/YAP signaling. Combination of verteporfin and CA4 was also more effective in suppressing angiogenesis in an in vivo zebrafish model than single drug alone. The efficacy and application potential of our triple drug-NPs were further assessed by using clinically relevant patient-derived xenograft (PDX) models. Triple drug-NP effectively inhibited the viability of PDX organotypic slide cultures ex vivo and stopped the growth of PDX tumors in vivo. This study developed an approach capable of simultaneously inhibiting bulk cancer cells, CSCs, and angiogenesis.Subject terms: Breast cancer, Cancer stem cells     

Characterizing RNA–protein interaction using cross-linking and metabolite supplemented nuclear RNA-immunoprecipitation

RNA-immunoprecipitation (RNA-IP) is a method used to isolate and identify RNA molecules specifically associated with an RNA-binding protein. Non-coding RNAs are emerging as key regulators of many biological and developmental pathways and RNA-IP has become an important tool in studying their function(s). While RNA-IP is successfully used to determine protein-RNA interaction, specific details regarding the level of this association and the metabolic requirement of this interaction which can influence the success of RNA-IP remain unclear. Here, we investigate the conditions required for efficient nuclear RNA-IP using Arabidopsis AGO4 (Argonaute 4) and siRNA binding as the study model. We showed that formaldehyde cross-linking, but not UV cross-linking, allowed for efficient pull-down of 24-nt siRNAs, suggesting that AGO4–siRNA interaction involves other protein(s). We also showed that, while formaldehyde cross-linking could also be performed on purified nuclei, ATP supplementation to the nuclei isolation buffer was needed to efficiently pull down 24-nt siRNAs. This result indicates that ATP is required for efficient siRNA loading onto AGO4. As most of the known RNA-mediated regulatory processes occur in the nucleus, our findings on cross-linking conditions and metabolite requirement for successful AGO4 nuclear RNA-IP provide a valuable insight and future consideration when studying the function of protein–RNA interactions in plants.     

How often do physicians review medication charts on ward rounds?

Background  

Prescribing errors are common in hospital settings. Regular review of medication charts is recommended as a way to reduce errors but it is not clear how often this happens. The aim of this study was to determine the frequency with which specialist physicians reviewed medication charts during ward rounds.     

Height and death in the Antebellum United States: A view through the lens of geographically weighted regression

Factors related to geography such as climate, natural resources or waterways often affect human activities. However, traditional approaches such as ordinary least squares (OLS) have limitations in investigating such patterns. Unlike OLS regression, geographically weighted regression (GWR) allows the coefficients of explanatory variables to differ by locality by giving relatively more weight to geographically close observations. GWR depicts spatial patterns. This paper examines the pattern of height and crude death rate in the United States prior to the Civil War by this method. The GWR results show that access to water transportation increased mortality and decreased stature in the food exporting areas of the Midwest, and the opposite pattern appeared in the food importing areas of the Northeast.     

Synthesis and SAR study of novel sarsasapogenin derivatives as potent neuroprotective agents and NO production inhibitors

Sarsasapogenin, isolated from rhizomes of Anemarrhena asphodeloides, was found to be able to enhance memory. On the basis of the structure of Sarsasapogenin, a series of derivatives were synthesized and evaluated for their neuroprotective activity in PC12 cells and NO production inhibitory activity in RAW264.7 cell lines. The preliminary structure-activity relationship of them indicated that introduction of carbamate groups at the 3-hydroxyl position of sarsasapogenin might improve neuroprotective activity. Some synthesized derivatives such as AA3, AA4, AA9 and AA13 exhibited both notably neuroprotective activity and NO production inhibitory activity.     

A simple and cost-effective spectrophotometric assay for cephalosporin C usingAlcaligenes faecalis

Summary A spectrophotometric assay for cephalosporin C was established usingAlcaligenes faecalis as a test organism. The optimal pH range for the sensitivity of the assay was pH 6.7–7.4. The dose-response curve became linear after 4 h incubation with 15% (v/v) dosage. Deviations between spectrophotometric and chemical assays were within 6%. The cost of the spectrophotometric assay is about one-hundredth that of the chemical assay.     

Effect of protein fouling on filtrate flux and virus breakthrough behaviors during virus filtration process

Virus filtration process is used to ensure viral safety in the biopharmaceutical downstream processes with high virus removal capacity (i.e., >4 log₁₀). However, it is still constrained by protein fouling, which results in reduced filtration capacity and possible virus breakthrough. This study investigated the effects of protein fouling on filtrate flux and virus breakthrough using commercial membranes that had different symmetricity, nominal pore size, and pore size gradients. Flux decay tendency due to protein fouling was influenced by hydrodynamic drag force and protein concentration. As the results of prediction with the classical fouling model, standard blocking was suitable for most virus filters. Undesired virus breakthrough was observed in the membranes having relatively a large pore diameter of the retentive region. The study found that elevated levels of protein solution reduced virus removal performance. However, the impact of prefouled membranes was minimal. These findings shed light on the factors that influence protein fouling during the virus filtration process of biopharmaceutical production.