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Cao, G.

Publications and source records attributed to Cao, G..

3 recordsLinked to original sources

TCR-pMHC bond length controls TCR ligand discrimination

T-cell receptors (TCRs) detect specifically and sensitively a small number of agonist peptide-major histocompatibility complexes (pMHCs) from an ocean of structurally similar self-pMHCs to trigger antigen-specific adaptive immune responses1-4. Despite intense efforts, the mechanism underlying TCR ligand discrimination remains a major unanswered question in immunology. Here we show that a TCR discriminates between closely related peptides by forming TCR-pMHC bonds with different lengths, which precisely control the accessibility of CD3{zeta} immunoreceptor tyrosine-based activation motifs (ITAMs) for phosphorylation. Using in situ fluorescence resonance energy transfer (FRET)3,5, we measured the intermolecular length of single TCR-pMHC bonds and the intramolecular distance of individual TCR-CD3{zeta} complexes at the membrane of live primary T cells. We found that an agonist forms a short TCR-pMHC bond to pull the otherwise sequestered CD3{zeta} off the inner leaflet of the plasma membrane, leading to full exposure of its ITAMs for strong phosphorylation. By contrast, a structurally similar weaker peptide forms a longer bond with the TCR, resulting in partial dissociation of CD3{zeta} from the membrane and weak phosphorylation. Furthermore, we found that TCR-pMHC bond length determines 2D TCR binding kinetics and affinity, T-cell calcium signaling and T-cell proliferation, governing the entire process of signal reception, transduction and regulation. Thus, our data reveal the fundamental mechanism by which a TCR deciphers the structural differences between foreign antigens and self-peptides via TCR-pMHC bond length to initiate different TCR signaling for ligand discrimination.

immunology

Comparison of antioxidant activity between cyanidin-3-O-glucoside (C3G) liposome and cyanidin-3-O-glucoside (C3G) in 2D and 3D cell cultures

The 2D cell culture is the predominant in vitro model for numerous studies. However, 2D cell cultures may not accurately reflect the functions of three-dimensional (3D) tissues, which have extensive cell-cell and cell-matrix interactions; thus, using 2D cell cultures may lead to inaccurate experimental results. Therefore, to obtain adequate and detailed information about the antioxidant activity of cyanidin-3-O-glucoside (C3G) and C3G liposomes in the 2D and 3D cell culture models, we used in this study H2O2 to construct the cell damage model and assess the antioxidant activity of C3G and C3G liposomes on Caco-2 cells cultured in the 3D model. We also measured the cell viability, cell morphology, and activity of glutathione (GSH), superoxide dismutase (SOD), total antioxidant capacity (T-AOC), and malondialdehyde (MDA) content of Caco-2 cells treated with H2O2, C3G, and C3G liposomes. Results showed that cells cultured in the 3D culture model formed a 3D structure and tight spheroids and showed increased cell activity and IC50. The C3G and C3G liposomes can enhance the activity of GSH, SOD, and T-AOC but decrease the MDA content. At the same time, the effect was more obvious in the 3D cell culture model than in the cells cultured in the 2D model. This study revealed that the results obtained from the 2D cell model may be inaccurate compared with the results obtained from the 3D cell model. A realistic mechanism study of antioxidant activity of C3G and C3G liposomes in the 3D cell model, which acts as an intermediate stage bridging the in vitro 2D and in vivo models, was observed.

cell biology

Whole genome sequence analysis of 91 Salmonella Enteritidis isolates from mice caught on poultry farms in the mid 1990s

Salmonella enterica serovar Enteritidis (SE), the most commonly reported serovar of human salmonellosis, has been frequently associated with poultry farms, eggs and egg products. Mice are known vectors of SE contamination in these facilities. The objective of this study was to use whole-genome sequencing (WGS) to analyze SE from mice obtained at poultry farms in Pennsylvania. Documenting pathogen diversity can identify reliable biomarkers for rapid detection and speed up outbreak investigations. We sequenced 91 SE isolates from 83 mice (62 spleen isolates, 29 intestinal isolates) caught at 15 poultry farms between 1995-1998 using an Illumina NextSeq 500. We identified 742 single nucleotide polymorphisms (SNPs) capable of distinguishing each isolate from one another. Isolates were divided into two major clades: there were more SNPs differences within Clade B than counterparts in Clade A. All isolates containing antimicrobial resistance genes belong to Subgroup B2. Clade-defining SNPs provided biomarkers distinguishing isolates from 12 individual subgroups, which were separated by farm location or year of collection. Nonsynonymous changes from the clade-defining SNPs proffered a better understanding of possible genetic variations among these isolates. For a broader view of SE diversity, we included data from NCBI Pathogen Detection Isolates Browser, in which subgroups in Clade B formed new SNP Clusters.\n\nImportanceWGS and SNPs analyses are excellent and powerful tools for investigating SE phylogenies. Identifying the evolutionary relationships among SE isolates from mouse, poultry, environmental, and clinical isolates, along with patterns of genetic diversity, advances understanding of SE and the role mice may play in SE contamination and spread among poultry population. Our data was able to identify SE isolates from different farms or years of collection. Moreover, the annotations of clade-defining SNPs provided information about possible protein functions among these SE isolates from each subgroup. Clade-defining or farm-unique biomarkers were useful for rapid detection and outbreak investigations.

genomics