Objective To investigate the antigen presentation characteristics of dendritic cells (DC) and B cells in cardiac grafts. Methods The heart of BALB/c mice was transplanted into the abdominal cavity of C57BL/6J mice. CD45⁺ cells in the heart graft were extracted and sorted by flow cytometry at postoperative 5 d, and single cell RNA sequencing was performed. Taking DC and B cell subsets in cardiac grafts as the main study cells, the changing trend, antigen presenting ability and intercellular communication with T cells after heart transplantation were analyzed by bioinformatics analysis and flow cytometry. Gene ontology (GO) function enrichment difference analysis was adopted to prove the specific function and the reliability annotation of cell subsets. Results Germinal center-like B cell (GC-L B) was the B cell subset with the largest increase in quantity during the acute rejection phase, accounting for 87%. Classical DC (cDC) 2 was the only DC subset with a significant increase in quantity during acute rejection of heart transplantation, accounting for 44% of DC subset, and it occupied the highest communication intensity with T cells after heart transplantation. Mononucleated DC (moDC) and memory B cell (MBC) were the main transmitters of T cell input signals in non-transplanted hearts, whereas transformed into cDC2 and GC-L B during the acute rejection phase. Among them, MBC and GC-L B were the main sources of T cell input signals in non-transplanted hearts and heart grafts. Conclusions Compared with DC, B cells occupy a higher number and weight in the intercellular communication with T cells in non-transplanted hearts and heart grafts, prompting that the antigen presenting activity of B cells is more active and stronger than DC in the early stage of acute rejection of heart transplantation.

BACKGROUND:Mechanical factors can affect the angiogenic ability of vascular endothelial cells.How the vessel number affects the hydrodynamic properties of microvessels remains to be clarified. OBJECTIVE:To investigate the influence of vessel number on the hydrodynamics of vascular networks based on computational fluid dynamics. METHODS:Three three-dimensional models of vascular network with different vessel numbers were constructed using the Geometry module of ANSYS 19.0 software,and then the vascular network was meshed to tetrahedral elements in Mesh module.The vascular network was assumed to rigid wall without slip,and the blood was assumed to laminar,viscous,and incompressible Newtonian fluid.Blood density,velocity,and a series of blood viscosity coefficients were also established.The Navier-Stokes equation was used for calculation.Hydrodynamic properties of different parts of vascular network with different vessel numbers were analyzed and compared. RESULTS AND CONCLUSION:The streamline,velocity,and mass flow all had the same trend in the vascular network,that is,the outlet and inlet were higher and the middle junction of vascular network was lower.The more the number of vessels,the thinner the blood flow lines in each part of the vascular network.Also,the velocity,mass flow,and wall shear decreased with the increase of the number of blood vessels.Therefore,the changes in vessel number could influence the hydrodynamic environment in the vascular network.Computational fluid dynamics indicates that the changes in vessel numbers can influence the hydrodynamic properties of blood,and provides a new idea for treating bone hypoperfusion-induced diseases(fracture nonunion,bone defect,osteoporosis,etc.)through tonifying kidney and activating blood circulation based on the coupling between angiogenesis and osteogenesis.

Excavating the quantitative trait locus (QTL) associated with rice cooking quality, analyzing candidate genes, and improving cooking quality-associated traits of rice varieties by genetic breeding can effectively improve the taste of rice. In this study, we used the indica rice HZ, the japonica rice Nekken2 and 120 recombinant inbred lines (RILs) populations constructed from them as experimental materials to measure the gelatinization temperature (GT), gel consistency (GC) and amylose content (AC) of rice at the maturity stage. We combined the high-density genetic map for QTL mapping. A total of 26 QTLs associated with rice cooking quality (1 QTL associated with GT, 13 QTLs associated with GC, and 12 QTLs associated with AC) were detected, among which the highest likelihood of odd (LOD) value reached 30.24. The expression levels of candidate genes in the localization interval were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR), and it was found that the expression levels of six genes were significantly different from that in parents. It was speculated that the high expression of LOC_Os04g20270 and LOC_Os11g40100 may greatly increase the GC of rice, while the high expression of LOC_Os01g04920 and LOC_Os02g17500 and the low expression of LOC_Os03g02650 and LOC_Os05g25840 may reduce the AC. The results lay a molecular foundation for the cultivation of new high-quality rice varieties, and provide important genetic resources for revealing the molecular regulation mechanism of rice cooking quality.
Quantitative Trait Loci ; Oryza/genetics* ; Plant Breeding ; Cooking ; Genetic Association Studies