LettuceDB: an integrated multi-omics database for cultivated lettuce.

Crop genomics has advanced rapidly during the past decade, which generated a great abundance of omics data from multi-omics studies. How to utilize the accumulating data becomes a critical and urgent demand in crop science. As an attempt to integrate multi-omics data, we developed a database, LettuceDB (https://db.cngb.org/lettuce/), aiming to assemble multidimensional data for cultivated and wild lettuce germplasm. The database includes genome, variome, phenome, microbiome and spatial transcriptome. By integrating user-friendly bioinformatics tools, LettuceDB will serve as a one-stop platform for lettuce research and breeding in the future. Database URL: https://db.cngb.org/lettuce/.

STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization.

Recent technological developments in spatial transcriptomics allow researchers to measure gene expression of cells and their spatial locations at the single-cell level, generating detailed biological insight into biological processes. A comprehensive database could facilitate the sharing of spatial transcriptomic data and streamline the data acquisition process for researchers. Here, we present the Spatial TranscriptOmics DataBase (STOmicsDB), a database that serves as a one-stop hub for spatial transcriptomics. STOmicsDB integrates 218 manually curated datasets representing 17 species. We annotated cell types, identified spatial regions and genes, and performed cell-cell interaction analysis for these datasets. STOmicsDB features a user-friendly interface for the rapid visualization of millions of cells. To further facilitate the reusability and interoperability of spatial transcriptomic data, we developed standards for spatial transcriptomic data archiving and constructed a spatial transcriptomic data archiving system. Additionally, we offer a distinctive capability of customizing dedicated sub-databases in STOmicsDB for researchers, assisting them in visualizing their spatial transcriptomic analyses. We believe that STOmicsDB could contribute to research insights in the spatial transcriptomics field, including data archiving, sharing, visualization and analysis. STOmicsDB is freely accessible at https://db.cngb.org/stomics/.

CNSA: a data repository for archiving omics data.

With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry. Database URL: https://db.cngb.org/cnsa/.

[Direct secretory expression of active microbial transglutaminase in Pichia pastoris].

Direct secretory expression of active microbial transglutaminase (MTG) using heterologous hosts is a promising strategy, although its production level still needs to be improved for industrial production. Pichia pastoris is one of the most efficient expression systems developed in recent years. In this study, secretory expression of active MTG was successfully achieved by co-expressing the pro sequence and mature MTG genes in P. pastoris. Furthermore, we optimized the copy number of pro/MTG expression cassettes and the fermentation conditions. MTG production level reached 7.3 U/mL in 1-liter fermentor through high density fermentation, providing the feasiblity for industrial scale preparation of MTG.

Combinatorial strategy of sorbitol feeding and low-temperature induction leads to high-level production of alkaline ß-mannanase in Pichia pastoris.

A process for efficient production of an alkaline ß-mannanases from Bacillus sp. N16-5 was established by heterologous expression using Pichia pastoris. A high producing strain was generated by removing the native ß-mannanases signal peptide and increasing the copy number of the mature ß-mannanases gene. High cell density fermentation of this strain in 1-L bioreactor led to a production level of 4164 U/mL after 96 h of induction. Sorbitol co-feeding and temperature-lowering strategies both increased the ß-mannanase production levels. Combined usage of these two strategies achieved the most effective result-the enzyme level reached 6336 U/mL within 84 h, which to our best knowledge is the highest production level reported for the expression of extreme ß-mannanase thus far. The strategy described in this work can also be adapted to express other important industrial enzymes with extreme properties.