3results about How to "Low specificity" patented technology

The present invention relates to agents, compositions, and methods for treating or ameliorating symptoms of cancer. Exemplary synergistic therapies include the use of antisense oligonucleotide agents to suppress expression of TGF-β2, alone and in combination with interferon-gamma. One or more biomarkers can be used to select subjects for treatment.

This invention discloses a method for delivering a VIGS vector targeting the flower buds inside the bulb of Lycoris radiata, a method for verifying gene function, and their applications, belonging to the field of biotechnology. The method includes: making 4-6 holes around the root plate of a dormant Lycoris radiata bulb, and 2-4 holes in the central area of ​​the bulb base, reaching the meristematic region of the flower bud; immersing the treated bulb in VIGS infection solution up to the wounds on the root plate; and performing vacuum treatment to ensure effective penetration of the infection solution into the internal flower bud tissue. This invention successfully delivered a silencing vector targeting the LrP5CS1 gene to the flower bud, specifically reducing its expression and obtaining a stable early-flowering phenotype in Lycoris radiata, thus verifying the gene function. Therefore, this invention establishes an efficient delivery platform that can be used for rapid screening and verification of other key genes regulating the flowering period and ornamental traits of Lycoris radiata, providing a novel technical means for the functional study of genes related to the flowering phenotype of Lycoris radiata.

The invention discloses a PJI diagnosis model based on serum and synovial fluid indexes and a construction method of the PJI diagnosis model, and aims to solve the problems that in existing PJI diagnosis, specificity of a single index is insufficient, and misjudgment is easily caused due to culture negative. According to the method, serum and joint fluid samples and clinical information of all-joint replacement postoperative revision patients are collected, multiple types of clinical indexes are extracted after data processing and queue division, and eight core indexes are screened out by adopting LASSO logistic regression in combination with single-factor and multi-factor logistic regression; and constructing a visual column graph model containing a scoring system and a probability transformation formula through an R language. The model fully considers index weight and interaction, has the characteristics of low cost, easy acquisition and accurate diagnosis, is reliable in performance through training and verification queue verification, can assist clinicians in making scientific judgment before invasive treatment and reduce unnecessary detection and medical burden, and is suitable for popularization and application of medical institutions at all levels.