Ezrin Polarization as a Diagnostic Marker for Circulating Tumor Cells in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the sixth most common cancer and the third leading cause of cancer-related death worldwide, with no precise method for early detection. Circulating tumor cells (CTCs) expressing the dynamic polarity of the cytoskeletal membrane protein, ezrin, have been proposed to play a crucial role in tumor progression and metastasis. This study investigated the diagnostic and prognostic potential of polarized circulating tumor cells (p-CTCs) in HCC patients.

Progress of Angiographic Cardiac Allograft Vasculopathy in Patients With Long-Term Transplantation: Longitudinal Evaluation of Its Association With Dyslipidemia Patterns.

Cardiac allograft vasculopathy (CAV) is a progressive disease with limited options for secondary prevention. Ways to manage lipid parameters and dyslipidemia patterns in care after transplantation remain unclear. In this longitudinal study, we included 32 patients with long-term heart transplantations (median interval after transplant 13.

Species-wide inventory of organellar variation reveals ample phenotypic variation for photosynthetic performance.

Efforts to improve photosynthetic performance are increasingly employing natural genetic variation. However, genetic variation in the organellar genomes (plasmotypes) is often disregarded due to the difficulty of studying the plasmotypes and the lack of evidence that this is a worthwhile investment. Here, we systematically phenotyped plasmotype diversity using as a model species.

Tiberius: end-to-end deep learning with an HMM for gene prediction.

Motivation: For more than 25 years, learning-based eukaryotic gene predictors were driven by hidden Markov models (HMMs), which were directly inputted a DNA sequence. Recently, Holst et al. demonstrated with their program Helixer that the accuracy of ab initio eukaryotic gene prediction can be improved by combining deep learning layers with a separate HMM postprocessor.