U-Net Convolutional Neural Network for Real-Time Prediction of the Number of Cultured Corneal Endothelial Cells for Cellular Therapy.

Corneal endothelial decompensation is treated by the corneal transplantation of donor corneas, but donor shortages and other problems associated with corneal transplantation have prompted investigations into tissue engineering therapies. For clinical use, cells used in tissue engineering must undergo strict quality control to ensure their safety and efficacy. In addition, efficient cell manufacturing processes are needed to make cell therapy a sustainable standard procedure with an acceptable economic burden. In this study, we obtained 3098 phase contrast images of cultured human corneal endothelial cells (HCECs). We labeled the images using semi-supervised learning and then trained a model that predicted the cell centers with a precision of 95.1%, a recall of 92.3%, and an F-value of 93.4%. The cell density calculated by the model showed a very strong correlation with the ground truth (Pearson's correlation coefficient = 0.97, p value = 8.10 × 10-52). The total cell numbers calculated by our model based on phase contrast images were close to the numbers calculated using a hemocytometer through passages 1 to 4. Our findings confirm the feasibility of using artificial intelligence-assisted quality control assessments in the field of regenerative medicine.

A rapid and efficient single-cell manipulation method for screening antigen-specific antibody-secreting cells from human peripheral blood.

Antigen-specific human monoclonal antibodies (mAbs) are key candidates for therapeutic agents. However, the availability of a suitable screening system for antigen-specific antibody-secreting cells (ASCs) is limited in humans. Here we present a unique method for detecting individual ASCs using microwell array chips, which enables the analysis of live cells on a single-cell basis and offers a rapid, efficient and high-throughput (up to 234,000 individual cells) system for identifying and recovering objective ASCs. We applied the system to detect and retrieve ASCs for hepatitis B virus and influenza viruses from human peripheral blood lymphocytes and produced human mAbs with virus-neutralizing activities within a week. Furthermore, we show that the system is useful for detecting ASCs for multiple antigens as well as for selection of ASCs secreting high-affinity antibodies on a chip. Our method can open the way for the generation of therapeutic antibodies for individual patients.

Identification of antigen-specific B cells by concurrent monitoring of intracellular Ca2+ mobilization and antigen binding with microwell array chip system equipped with a CCD imager.

B cells are very heterogeneous, consisting of more than 10(9) B-cell clones with distinct specificities for antigens in each individual. To identify single B cells with antigen specificity, we have been developing cell microarray technology using microwell array chips whose microwells each capture a single B cell. Using microwell array chips, we detected antigen-specific B cells by monitoring antigen-induced intracellular Ca2+ mobilization with a CCD scanner (MAC-CCD system) or the binding of fluorescence-labeled antigen to cells with a confocal laser scanner. We retrieved target cells from the chip, cloned immunoglobulin genes, and produced antigen-specific antibodies. However, these methods present some difficulties: the former technique could not detect cells whose frequency was less than 0.05% and the latter one took a long time to identify the objective cells although it could detect cells at a frequency of 0.01%. Here, we have combined the advantages of these two methods. Monitoring antigen-induced intracellular Ca2+ mobilizations and the binding of fluorescence-labeled antigens simultaneously with a MAC-CCD system enabled us to detect rapidly, antigen-specific B cells whose frequency was less than 0.01% with high efficiency. Our system provides a superior screening system for antigen-specific B cells and extends the horizons of multiparameter single-cell analysis in heterogeneous cell populations.

Single lymphocyte analysis with a microwell array chip.

Following genomics and proteomics, cytomics, a novel method of looking at life, has emerged for analyzing large populations of cells on a single-cell basis with multiple parameters in a quantitative manner. We have developed a highly integrated live-cell microarray system for analyzing the cellular responses of individual cells using a microwell array chip that has 234,000 microwells each of which is just large enough to fit a single cell. Compared with flow cytometry and microscope-based methods, our system can analyze the history of the cellular responses of a large number of cells. We have successfully applied the system to analyze human antigen-specific B-cells and produced human monoclonal antibodies (MoAb) against hepatitis B virus surface antigen. We have also constructed a mouse system to assess hepatitis B virus-neutralization activity and have demonstrated the neutralization activity of our antibodies. Our technology should expand the horizons of cell analysis as well as enable generation of human MoAb for antibody-based therapeutics and diagnosis for infectious diseases such as hepatitis viruses.

Cell-microarray analysis of antigen-specific B-cells: single cell analysis of antigen receptor expression and specificity.

The authors previously developed a cell-microarray system that effectively detects antigen-specific B-cells by monitoring intracellular Ca2+ at single cell levels. Here they present a novel method to detect antigen-specific B-cells using cell-microarray system. To detect antigen-specific B-cells, they arrayed live lymphocytes on a chip, stained cells with fluorescence-labeled nonspecific proteins, and analyzed them with a fluorescence scanner to detect nonspecific protein binding to B-cells. They then stained cells with fluorescence-labeled antigen and analyzed them with the scanner. Cells stained with specific antigen, but not with nonspecific proteins, were determined as antigen-specific B-cells and harvested. Antibody cDNA was amplified from retrieved B-cells by single-cell RT-PCR, inserted into expression vectors, and was examined for its specificity by ELISA. They could detect antigen-specific B-cells at a frequency of 0.01% in a model system using transgenic mice that express antibody to hen-egg lysozyme on the surface of B-cells. They applied this system to directly detect hepatitis B virus surface-antigen (HBs-Ag)-specific B-cells from peripheral blood in HBs-Ag-vaccinated volunteers and succeeded in producing HBs-Ag-specific monoclonal antibody. This novel system allows us to identify human antigen-specific B-cells of very low frequency and is a powerful tool to explore the candidates of antibody therapeutics.

Anti-clastogenic ingredients in Cassia nomame extract.

The suppressing effect of the hot-water extract of Cassia nomame (Sieb.) HONDA was studied on the frequency of chromosomal aberrations in Chinese hamster ovary K1 (CHO-K1) cells. CHO-K1 cells were pretreated with 2.5 microM Mitomycin C (MMC) for 1 h and incubated with or without the extract in medium for 10-24 h. The frequency of chromosome aberrations in observed 100 metaphase cells was significantly lower with the extract than that without the extract. Moreover, the suppressing effect of the four fractions collected by high performance liquid chromatography (HPLC) was also examined on the same procedure. The frequency of cells with chromosome aberrations in cells cultured with each collected fraction was lower than in those without the extract. The suppressing effect of the collected fractions on chromosomal aberrations, however, was less than that of the total extract. This result suggests that the ingredients which have the suppressing effect of chromosomal aberrations are also contained in the other fraction of the extract.