AIM: To construct pVAX1-GrB. METHODS: Lymphocytes from human laryngeal carcinoma tissue were separated from tumor tissue. The fragment of granzyme B (GrB) was amplified by RT-PCR and was recombined to the downstream of T7 promoter in the vector pVAX1. The construction was transfected into Hep2 cells with lipofectamine 2000. The expression of protein was identified by indirect immunofluorescent antibody assay. RESULTS: It has been proved that the sequence of the RT-PCR product was totally consistent with the data of GenBank by DNA sequencing analysis. The GrB cDNA fragment was cloned into the vector of pVAX1 in the right direction and the open reading fragment of GrB was maintained. The target protein was detected in the transfected Hep2 cells. CONCLUSION: The pVAX1-GrB plasmid was successfully constructed and expressed. [

Significantly increasing crop yield is a major and worldwide challenge for food supply and security. It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide. Yet, the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery. Here, we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group. We identified the top 24 candi-date high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method, i.e., dynamic cross-tissue (DCT) network analysis. We used one of the candidate genes, OsSPL4, whose function was previously unknown, for gene editing experimental validation of the high yield, and confirmed that OsSPL4 significantly affects panicle branching and increases the rice yield. This study, which included extensive field phenotyping, cross-tissue systems biology analyses, and functional validation, uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice. The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample. DCT can be downloaded from https://github.com/zt-pub/DCT.