Gadegaardmayo1982

Bioinformatics analysis indicated that one of the potential target genes of miR-134-3p was flap structure-specific endonuclease 1 (FEN1), which was confirmed by dual-luciferase reporter assay. Moreover, overexpression of miR-134-3p decreased the expression levels of FEN1 in SKOV-3 and OVCAR-3 cells. Additionally, overexpression of FEN1 reversed the effects of the miR-134-3p mimic on the proliferation, migration and invasion of SKOV-3 and OVCAR-3 cells. Overall, the findings of the present study demonstrated that miR-134-3p may inhibit OC cell proliferation, migration and invasion by directly targeting FEN1.Following the publication of the above article, an interested reader drew to the authors' attention that an error was made in the assembly of the data panels shown in Fig. 4A. The 'NC' and 'FoxO3a‑KD' panels (specifically, the upper left margins of the three 'NC' data panels and the lower right margins of the three 'FoxO3a‑KD' panels) contained overlapping data. The authors were able to consult their original data, and realized that errors had occurred inadvertently during the figure compilation process. The revised version of Fig. 4A, featuring the corrected data panels for the 'NC' experiments, is shown opposite. The authors have confirmed that the errors associated with this figure did not have any significant impact on either the results or the conclusions reported in this study, and are grateful to the Editor of Oncology Reports for allowing them the opportunity to publish this Corrigendum. Furthermore, they apologize to the readership of the Journal for any inconvenience caused. [the original article was published in Oncology Reports 37 2391‑2397, 2017; DOI 10.3892/or.2017.5459].Following the publication of this paper, it was drawn to the authors' attention by an interested reader that Fig. 6D contained images featuring overlapping data, which reportedly had been derived under different experimental conditions. Subsequently, further issues of data duplication were brought to light by another interested reader concerning the above article; first, certain of the images showing colony‑forming assays in Fig. 4D were strikingly similar to images that had appeared in a previous publication by the same research group, and secondly, a couple of instances of data duplication were identified among the histopathological images presented within Fig. 7D. After having considered the various issues that have been brought to light with this paper, together with an appeal from the authors that a Corrigendum be published, the Editor of Oncology Reports has ruled that the article should be retracted from the publication on account of a lack of overall confidence in the presented data. Note that the authors were not in agreement that the number of errors reported and identified were sufficient to merit the retraction of the article. Additionally, the authors carefully checked the raw data and drew a conclusion that the final scientific conclusions were not affected. The Editor and the authors apologize to the readership for any inconvenience caused. [the original article was published in Oncology Reports 39 2114‑2126, 2018; DOI 10.3892/or.2018.6297].The genomic revolution offers renewed hope of resolving rapid radiations in the Tree of Life. The development of the multispecies coalescent (MSC) model and improved gene tree estimation methods can better accommodate gene tree heterogeneity caused by incomplete lineage sorting (ILS) and gene tree estimation error stemming from the short internal branches. However, the relative influence of these factors in species tree inference is not well understood. Using anchored hybrid enrichment, we generated a data set including 423 single-copy loci from 64 taxa representing 39 families to infer the species tree of the flowering plant order Malpighiales. This order includes nine of the top ten most unstable nodes in angiosperms, which have been hypothesized to arise from the rapid radiation during the Cretaceous. Here, we show that coalescent-based methods do not resolve the backbone of Malpighiales and concatenation methods yield inconsistent estimations, providing evidence that gene tree heterogeneity is high in thirks. Thus, reducing such groups solely to existing models that adhere strictly to bifurcating trees greatly oversimplifies reality, and obscures our ability to more clearly discern the process of evolution.

The objective of this paper is to investigate the role of test anxiety and memory self-efficacy on memory performances in older adults.

One hundred cognitively normal, community-dwelling older adults aged 65+ participated used in this experimental study. Participants completed baseline evaluations (including pre-test anxiety) prior to being assigned to one of two experimental conditions in which they experienced either success or failure on a verbal test. They subsequently completed post-test anxiety ratings, a measure of memory self-efficacy (Memory Self-Efficacy Questionnaire), and standardized tasks of working memory and verbal episodic memory.

Following experimental manipulation, participants in the pre-test failure condition demonstrated higher anxiety and lower memory performances. Hierarchical regression revealed that change in anxiety from pre-test to post-test predicted memory performances and mediation analyses demonstrated that these effects were explained by lower memory self-efficacy.

For older adults, experiencing test failure prior to memory testing may result in increased test anxiety and lower memory self-efficacy leading to poorer memory performance. This has implications for diagnostic cognitive assessment for older people.

For older adults, experiencing test failure prior to memory testing may result in increased test anxiety and lower memory self-efficacy leading to poorer memory performance. This has implications for diagnostic cognitive assessment for older people.Incomplete lineage sorting (ILS), the interaction between coalescence and speciation, can generate incongruence between gene trees and species trees, as can gene duplication (D), transfer (T) and loss (L). These processes are usually modelled independently, but in reality, ILS can affect gene copy number polymorphism, i.e., interfere with DTL. This has been previously recognised, but not treated in a satisfactory way, mainly because DTL events are naturally modelled forward-in-time, while ILS is naturally modelled backwards-in-time with the coalescent. UNC 3230 Here we consider the joint action of ILS and DTL on the gene tree/species tree problem in all its complexity. In particular, we show that the interaction between ILS and duplications/transfers (without losses) can result in patterns usually interpreted as resulting from gene loss, and that the realised rate of D, T and L becomes non-homogeneous in time when ILS is taken into account. We introduce algorithmic solutions to these problems. Our new model, the multilocus multispecies coalescent (MLMSC), which also accounts for any level of linkage between loci, generalises the multispecies coalescent model and offers a versatile, powerful framework for proper simulation and inference of gene family evolution.