5 results about "Immunolabeling" patented technology

The invention belongs to the technical field of molecular biomedicine, and particularly relates to a urinary tract epithelial cell marker and application thereof in diagnosis of urinary tract epithelial cell carcinoma. The molecular marker is cytoplasm thyroid hormone binding protein CRYM, and an immunochemical staining experiment proves that the cytoplasm thyroid hormone binding protein CRYM has the potential to serve as a single immunomarker to be used for distinguishing normal urinary tract epithelial cells / reactive hyperplastic urinary tract epithelial cells and urinary tract epithelial cancer cells. Therefore, the kit plays a key identification role in histopathologic diagnosis or urine noninvasive screening of urothelial carcinoma, and provides important technical support for clinical noninvasive diagnosis.

The embodiment of the invention provides a blood leukocyte precise separation method combining immune density and a centrifugation technology. The blood leukocyte precise separation method comprises the following steps: performing multicolor immunofluorescence labeling on leukocyte subgroups in a blood sample; performing flow cytometry analysis on the marked sample, and establishing an initial multicolor fluorescence compensation matrix for the current sample individual; dynamically adjusting and generating a corrected compensation matrix of the individual specificity based on the deviation degree of the initial compensation matrix in a sample group reference range; carrying out association mapping on a specific physical sorting interval which is determined after the signal recalculation and the enclosure and is rich in the target leukocyte subgroup and a density gradient centrifugal separation condition; and directly carrying out density gradient centrifugation operation on the blood sample subjected to immunolabeling by utilizing the association mapping. According to the scheme of the embodiment of the invention, the high-purity specific leukocyte subgroup can be efficiently separated from a complex blood sample on the premise of keeping high cell activity and flux.

The application discloses an intestinal cancer immune response graph neural network prediction system, medium and equipment, through collecting pathological image information, immune detection information and basic clinical information, using a deep convolution network to extract a tissue spatial distribution feature map, combining an immune marker expression characteristic matrix to construct a graph neural network model, adopting a graph attention mechanism to model spatial interaction characteristics of a tumor microenvironment, finally predicting a treatment response probability, an optimal treatment time and an adverse reaction risk through a multi-task learning framework, and outputting a clinical decision report containing a predicted response curve, a risk early warning threshold and a treatment time window suggestion. Through multi-modal data fusion and spatial interaction modeling, the application realizes accurate prediction of the intestinal cancer immunotherapy response, and provides a more comprehensive reference basis for clinical decision-making.

This invention discloses a method for the separation and detection of exosomes in whole blood using a microfluidic chip. The method includes preparing a microfluidic chip with a specific structure for whole blood exosome separation and a PEGylated microfluidic chip with fishbone-like protrusions for capturing whole blood exosomes. Simultaneously, a viscoelastic solution is prepared and the whole blood sample is pretreated. The pretreated whole blood sample is injected into the microfluidic chip for whole blood exosome separation, and size-dependent separation of exosomes is achieved using a viscoelastic flow field. After concentration, a whole blood exosome concentrate is obtained. Exosomes are immobilized with paraformaldehyde, perforated, and biotinylated. After capture, a BODIPY polymer dot-coupled secondary antibody is prepared, combined with a primary antibody to complete exosome immunolabeling. After localization, multi-channel imaging using a total internal reflection fluorescence microscope is performed. This method achieves efficient separation and highly specific labeling detection of whole blood exosomes, improving the separation recovery rate and purity.