Objective To explore the effects of tumor necrosis factor-α induced protein 6 (TSG-6) on acute kidney injury (AKI) following paraquat poisoning in rats.Methods Twenty-four male Sprague-Dawley (SD) rats were randomly divided into sham group (n=8),model group (n=8) and TSG-6-treated group (n=8) using a randomized number table.Rats were given an injection of 50 mg/kg of paraquat intraperitoneally (total volume was equalled to sterile normal saline) in model and TSG-6-treated groups.Rats in sham group were given 2 mg/kg of sterile saline.Mter 1 hour of paraquat administration,rats were treated with 30 μg of recombinant human TSG-6 intraperitoneally in TSG-6-treated group.After 6 hours of paraquat administration,serum was collected to assess renal function,then rats were sacrificed and renal tissues were immediately harvested.AKI score was evaluated by renal histopathology and gene expression of pro-inflammatory cytokines including interleukins (IL-1β and IL-6) and tumor necrosis factor-α (TNF-α) in kidney was assayed with real-time reverse transcription-polymerase chain reaction (RT-PCR).Results Compared with sham group,blood urea nitrogen (BUN),creatinine (Cr) and AKI score were significandy increased in model group [BUN (mmoUL):22.64 ±2.36 vs.7.09 ±0.65,t=6.986,P=0.000; Cr (μmol/L):177.28 ± 18.67 vs.60.32 ± 3.11,t=7.134,P=0.000; AKI score:9.14 ± 0.28 vs.0.30 ± 0.23,t=9.013,P=0.000].Moreover,the mRNA expressions of IL-1β,IL-6 and TNF-α were significantly elevated in model group (IL-1β mRNA:3.23 ± 0.28 vs.1.00 ±0.07,t=5.874,P=0.000; IL-6 mRNA:4.16 ±0.37 vs.1.00 ±0.08,t=7.125,P=0.000; TNF-α mRNA:3.85 ±0.31 vs.1.00 ±0.10,t=6.342,P=0.000).However,serum BUN,Cr,AKI score and the mRNA expressions of IL-1β,IL-6 and TNF-α in TSG-6-treated group were significantly lower than those in model group [BUN (mmol/L):14.07 ± 5.23 vs.22.64 ± 2.36,t=2.533,P=0.026; Cr (μmol/L):112.76 ± 14.81 vs.177.28 ± 18.67,t=2.778,P=0.016; AKI score:5.35 ±0.19 vs.9.14 ±0.28,t=2.885,P=0.013; IL-1β mRNA:2.26 ± 0.19 vs.3.23 ±0.28,t=2.457,P=0.023; IL-6 mRNA:2.92 ±0.29 vs.4.16 ±0.37,t=2.975,P=0.011; TNF-α mRNA:2.58 ± 0.23 vs.3.85 ± 0.31,t=2.564,P=0.019].Conclusion TSG-6 attenuates AKI following paraquat poisoning by suppressing inflammatory response.

The Genome Sequence Archive (GSA) is a data repository for archiving raw sequence data, which provides data storage and sharing services for worldwide scientific communities. Considering explosive data growth with diverse data types, here we present the GSA family by expanding into a set of resources for raw data archive with different purposes, namely, GSA (https://ngdc.cncb.ac.cn/gsa/), GSA for Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human/), and Open Archive for Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/omix/). Compared with the 2017 version, GSA has been significantly updated in data model, online functionalities, and web interfaces. GSA-Human, as a new partner of GSA, is a data repository specialized in human genetics-related data with controlled access and security. OMIX, as a critical complement to the two resources mentioned above, is an open archive for miscellaneous data. Together, all these resources form a family of resources dedicated to archiving explosive data with diverse types, accepting data submissions from all over the world, and providing free open access to all publicly available data in support of worldwide research activities.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.