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Considerable inter-individual variability associated with tibial geometrical rates provides bone-implant mismatch inevitable making use of off-the-shelf complete knee joint arthroplasty: a planned out assessment along with meta-analysis.
Background Tick-borne encephalitis (TBE) is the most common viral CNS infection with incidences much higher than all other virus infections together in many risk areas of central and eastern Europe. The Odenwald Hill region (OWH) in southwestern Germany is classified as a TBE risk region and frequent case numbers but also more severe infections have been reported within the past decade. The objective of the present study was to survey the prevalence of tick-borne encephalitis virus (TBEV) in Ixodes ricinus and to associate TBEV genetic findings with TBE infections in the OWH. Methods Ticks were collected by the flagging methods supported by a crowdsourcing project implementing the interested public as collectors to cover completely and collect randomly a 3532 km2 area of the OWH TBE risk region. Prevalence of TBEV in I. ricinus was analysed by reversed transcription quantitative real-time PCR. Phylogeographic analysis was performed to classify OWH TBEV isolates within a European network of known TBEV strains.us phylogeny indicating among others an association with bird migration. Mutations within the pE gene are associated with more frequent, severe and fatal TBE infections in the OWH risk region.Background Basal-like breast cancer (BLBC) is a poorly characterised, heterogeneous disease. Patients are diagnosed with aggressive, high-grade tumours and often relapse with chemotherapy resistance. see more Detailed understanding of the molecular underpinnings of this disease is essential to the development of personalised therapeutic strategies. Inhibitor of differentiation 4 (ID4) is a helix-loop-helix transcriptional regulator required for mammary gland development. ID4 is overexpressed in a subset of BLBC patients, associating with a stem-like poor prognosis phenotype, and is necessary for the growth of cell line models of BLBC through unknown mechanisms. Methods Here, we have defined unique molecular insights into the function of ID4 in BLBC and the related disease high-grade serous ovarian cancer (HGSOC), by combining RIME proteomic analysis, ChIP-seq mapping of genomic binding sites and RNA-seq. Results These studies reveal novel interactions with DNA damage response proteins, in particular, mediator of DNA damage checkpoint protein 1 (MDC1). Through MDC1, ID4 interacts with other DNA repair proteins (γH2AX and BRCA1) at fragile chromatin sites. ID4 does not affect transcription at these sites, instead binding to chromatin following DNA damage. Analysis of clinical samples demonstrates that ID4 is amplified and overexpressed at a higher frequency in BRCA1-mutant BLBC compared with sporadic BLBC, providing genetic evidence for an interaction between ID4 and DNA damage repair deficiency. Conclusions These data link the interactions of ID4 with MDC1 to DNA damage repair in the aetiology of BLBC and HGSOC.Background Single-cell RNA sequencing (scRNA-seq) provides an effective tool to investigate the transcriptomic characteristics at the single-cell resolution. Due to the low amounts of transcripts in single cells and the technical biases in experiments, the raw scRNA-seq data usually includes large noise and makes the downstream analyses complicated. Although many methods have been proposed to impute the noisy scRNA-seq data in recent years, few of them take into account the prior associations across genes in imputation and integrate multiple types of imputation data to identify cell types. Results We present a new framework, NetImpute, towards the identification of cell types from scRNA-seq data by integrating multiple types of biological networks. We employ a statistic method to detect the noise data items in scRNA-seq data and develop a new imputation model to estimate the real values of data noise by integrating the PPI network and gene pathways. Meanwhile, based on the data imputed by multiple types of biological networks, we propose an integrated approach to identify cell types from scRNA-seq data. Comprehensive experiments demonstrate that the proposed network-based imputation model can estimate the real values of noise data items accurately and integrating the imputation data based on multiple types of biological networks can improve the identification of cell types from scRNA-seq data. Conclusions Incorporating the prior gene associations in biological networks can potentially help to improve the imputation of noisy scRNA-seq data and integrating multiple types of network-based imputation data can enhance the identification of cell types. The proposed NetImpute provides an open framework for incorporating multiple types of biological network data to identify cell types from scRNA-seq data.Transposition of the great arteries (TGA) and interruption of the aortic arch (IAA) are uncommon congenital heart diseases. The association between TGA and IAA is rare. The aim of this study is to present a case with combined TGA and IAA, who underwent the primary repair and review the literature with similar cases. The one-month-old patient was admitted with tachypnea and cyanosis. Delayed diagnosis was caused due to the absence of prenatal examination. Echocardiography and computed tomography angiography confirmed TGA with anterior-posterior-oriented great arteries, wide patent ductus arteriosus, type B IAA, ventricular septal defect (VSD) and pulmonary arterial hypertension. The patient underwent a single-stage primary surgical repair process leading to VSD closure, reconstruction of the aortic arch and arterial switch operation in October 2019. The patient is doing well at a 3-month follow-up post-surgery. The echocardiogram suggests a normal systolic function of the ventricles and trivial regurgitation for both aortic and pulmonary valves. CONCLUSIONS The single-stage repair with VSD closure, reconstruction of aortic arch and arterial switch operation might be an applicable approach for most of the patients with combined TGA and IAA. Long term follow-up is required as a high re-intervention rate for recurrent coarctation, supravalvular aortic stenosis, neoaortic valve regurgitation, obstruction of the right heart system and coronary stenosis has been reported.
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