Nanoscale dynamics and localization of single endogenous mRNAs in stress granules.

Stress granules (SGs) are cytoplasmic messenger ribonucleoprotein granules transiently formed in stressed mammalian cells. Although SG components have been well characterized, detailed insights into the molecular behavior inside SGs remain unresolved. We investigated nanoscale dynamics and localization of endogenous mRNAs in SGs combining single mRNA tracking and super-resolution localization microscopy.

Direct observation of cytoskeleton-dependent trafficking of miRNA visualized by the introduction of pre-miRNA.

MicroRNA (miRNA) plays physiologically and pathologically important roles in post-transcriptional regulation. Although miRNA has been suggested to dynamically interact with cellular organelles, the dynamicity of intracellular miRNA behavior has remained unclear. Here, by introducing fluorescently labeled pre-miRNA into living cells, we improved the miRNA visualization method using exogenous miRNA precursors.

The Cell Tracking Challenge: 10 years of objective benchmarking.

The Cell Tracking Challenge is an ongoing benchmarking initiative that has become a reference in cell segmentation and tracking algorithm development. Here, we present a significant number of improvements introduced in the challenge since our 2017 report. These include the creation of a new segmentation-only benchmark, the enrichment of the dataset repository with new datasets that increase its diversity and complexity, and the creation of a silver standard reference corpus based on the most competitive results, which will be of particular interest for data-hungry deep learning-based strategies.

Tracking cell lineages in 3D by incremental deep learning.

Deep learning is emerging as a powerful approach for bioimage analysis. Its use in cell tracking is limited by the scarcity of annotated data for the training of deep-learning models. Moreover, annotation, training, prediction, and proofreading currently lack a unified user interface.

Morphological and Morphometrical Analyses of Fracture-Healing Sites of an Atypical Femoral Fracture in Patients with and without Long-Term Bisphosphonate Treatment for Osteoporosis: A Report of Two Cases.

Bisphosphonates have been the first drug of choice for osteoporosis in the recent years because of their known ability to suppress osteoclast activity. The adverse effect of long-term bisphosphonate administration in the fracture-healing process is controversial. The aim of our study was to observe not only morphology but also morphometry of the fracture site of atypical femoral fracture with and without long-term bisphosphonate administration, in a case study of two difficult-to-obtain human samples.

IMACEL: A cloud-based bioimage analysis platform for morphological analysis and image classification.

Automated quantitative image analysis is essential for all fields of life science research. Although several software programs and algorithms have been developed for bioimage processing, an advanced knowledge of image processing techniques and high-performance computing resources are required to use them. Hence, we developed a cloud-based image analysis platform called IMACEL, which comprises morphological analysis and machine learning-based image classification.

[A Case of Granulocyte-Colony Stimulating Factor-Producing Esophageal Squamous Cell Carcinoma Treated with Chemoradiation Therapy].

The patient was a 64-year-old man who presented with a hoarse voice, pharyngalgia, and high fever.Despite receiving therapy, he presented with dysphagia, and endoscopy revealed a tumor in the thoracic esophagus.A biopsy indicated squamous cell carcinoma.

A spontaneously blinking fluorophore based on intramolecular spirocyclization for live-cell super-resolution imaging.

Single-molecule localization microscopy is used to construct super-resolution images, but generally requires prior intense laser irradiation and in some cases additives, such as thiols, to induce on-off switching of fluorophores. These requirements limit the potential applications of this methodology. Here, we report a first-in-class spontaneously blinking fluorophore based on an intramolecular spirocyclization reaction.

Heterogeneous expression of DNA-dependent protein kinase in esophageal cancer and normal epithelium.

Esophageal cancer tissues and adjacent normal mucosae in 13 patients with primary esophageal cancer were examined for quantitative differences in DNA-dependent protein kinase (DNA-PK) activity and for expressions of Ku70, Ku80 and DNA-PKcs proteins by Western blotting and immunohistochemistry. The tumor tissues showed higher DNA-PK activity than the normal mucosae. Protein levels of Ku70, Ku80 and DNA-PKcs correlated with DNA-PK activities in the tumor tissues.