53 results about "Cell marker" patented technology

The invention discloses a gastric cancer multi-omics marker detection method, system and device, and the method comprises the following steps: S1, collecting a public database open-source space transcriptome, a single cell sequencing sample and bulk-RNAseq data for pre-processing, and collecting a primary tissue sample of a gastric cancer patient in the center for data processing; s2, integrating different modal data samples to obtain a patient label of an input end, and constructing a marker detection model and training the marker detection model; and S3, extracting a target feature value from the input external pathological section by using the trained model, and generating a diagnosis prediction result. Through multi-modal data chimerism, algorithm optimization and AI system development, subpopulation cell marker proportion prediction and prognosis diagnosis and marker evaluation with population prognosis information are realized, and an integrated diagnosis scheme for breaking through molecule-space-prognosis information is constructed.

The invention relates to the technical field of biological information, in particular to a brain glioma microenvironment formation key molecular mechanism analysis method, which comprises the following steps: calling expression data to analyze a cell marker sequence to construct a segmentation interval, calculating a candidate factor expression direction to judge trend consistency, identifying expression aggregation difference to construct a split node section, and constructing a subsection; according to the method, partitions are constructed on the basis of marker expression syn-position, judgment is carried out in combination with candidate factor expression directions and marker trends, factor collaboration features are constructed according to the number of trends consistent times, and the semantic sorting information is generated by analyzing the channel change trends to generate drift scores, evaluating multi-label output stability screening key factors and analyzing literature word order positions. Identifying and expressing an aggregation and split structure, guiding a functional pathway to perform trend analysis in a scoring interval and construct a dynamic trajectory, judging label stability and empowerment according to pathway scoring difference, and determining a factor semantic position in combination with a literature word order structure to realize integrated support of regulation and control information and literature evidence.

In one embodiment, a method is disclosed to determine one or more biological cells of interest to identify and count in a mixed biological sample fluid with differing biological cells. The method can include selecting cell markers associated for biological cells to which conjugated antibodies can attach with differing fluorescent dyes; displaying a panel builder graphical user interface window to display a co-expression matrix by biological cell type to assist in selecting cell markers to assign co-expression; and selecting cell markers to assign co-expression with an input device.

The present invention relates to a method for predicting a solid tumor immune cell therapy treatment response. The method comprises acquiring a tumor tissue section from a patient, and detecting the presence, number, proportion or density of one or more cell types in the tumor tissue section. A solid tumor immune cell therapy response is predicted by determining cell markers, such as α-SMA, CD3, CD4 or CD8, associated with the cell types. In addition, the present invention also relates to a kit used for predicting a solid tumor treatment response, including a reagent which detects expression levels of one or more cell types and cell markers in tumor tissue sections, and software and / or a user manual used for analyzing detection results. The method and kit provide an effective tool for clinical treatment, so as to optimize dosages and clinical regimens of immune cell therapy, thereby improving treatment response rates.

The present disclosure is concerned with substituted cyclopropyl carbamate and cyclopropyl sulfonamide compounds, pharmaceutical compositions comprising the compounds, and methods of using the compounds in the treatment of various cancers such as, for example, cancers comprising cells that express at least one Sox 2 stem cell marker. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

1. The name of the design product: graphical user interface for computer cell marker gene statistics. 2. The use of the design product: the design product is used in electronic equipment to count cell marker genes. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The product involved in the design patent application is a graphical user interface, and the rear view, left view, right view, top view and bottom view are omitted. 6. Other circumstances that need to be explained: the interface of the product is a graphical user interface for cell marker gene statistics, which is a structured design of species, system, tissue, cell type and visualization design of species structure. The first column is species, the second column is system and tissue, the third column is cell type, and the fourth column is typical marker statistics of cells. Users can filter species, system, tissue and cell type through this interface, and finally view the typical marker statistics chart of cells.

The invention relates to the technical field of biomedicine detection, and discloses a tumor cell marker detection system for predicting the activation state of intracellular protein kinase. Comprising a marker detection module used for qualitatively detecting epithelial cell markers, mesenchymal cell markers, cell polarity markers and extracellular matrix related markers in tumor cells; the data processing module is used for performing cross validation on an epithelial cell marker, a mesenchymal cell marker, a cell polarity marker and an extracellular matrix related marker; the dynamic weighting module is used for performing dynamic weighting on different markers based on a complex system theory, and endowing epithelial cadherin with a higher weight; and the judgment module is used for determining whether epithelial intercellular substance transformation occurs or not according to the dynamically weighted marker data, and predicting the activation state of intracellular phosphoinositide 3-kinase alpha and the invasiveness of tumor cells based on the determination result of the epithelial intercellular substance transformation.

The invention discloses a method and a system for analyzing immune cell change of an HER2 variant lung cancer patient. The method comprises the following steps: collecting a peripheral blood sample and carrying out single-cell RNA (Ribonucleic Acid) sequencing; performing quality control, standardization processing, dimensionality reduction and clustering analysis on the sequencing data; carrying out immune cell subset annotation on the clustering result based on a preset immune cell marker; analyzing cell communication modes among different immune cell subpopulations by using a ligand-receptor database; performing quantitative statistics on the proportion of various immune cells based on sample grouping; and further performing subpopulation fine analysis, quasi-time sequence trajectory reconstruction and metabolic pathway activity evaluation on the CD8 + T cells to construct a comprehensive immune cell map. According to the method, the multi-dimensional characteristics of the peripheral blood immune cells can be presented at high resolution, and the comprehensive analysis of the functional state, the communication network and the metabolic activity of the immune cells is realized. According to the system and the device, automatic operation and visual display of the method can be realized. According to the invention, the immune monitoring efficiency can be improved, and an effective tool is provided for immune treatment effect evaluation and disease mechanism research.

The invention belongs to the technical field of biological medicine, and particularly relates to a new Spp1 + Carmil1 + and Spp1 + Cav1 + macrophage subgroup, a screening method and application in diagnosis and treatment of rheumatoid arthritis (RA). Aiming at the function limitation of a traditional M1 / M2 classification model, the invention proves the following new subgroup pathological interaction mechanism: osteoclast (ACP5 +) specifically releases TNFSF11 (RANKL), and is co-localized with Spp1 + Carmil1 + and Spp1 + Cav1 + subgroup space; the Spp1 + Carmil1 + subgroup secretes IL-18, and space interaction exists between the Spp1 + Carmil1 + subgroup and Treg (Foxp3 +) and Th17 (Il17a +) cells. The invention provides a novel cell marker and a targeted treatment strategy for accurate diagnosis and treatment of RA.

A modified cell is provided that expresses (a) a chimeric antigen receptor targeting GPC3 and / or CD19, and (b) a multispecific antigen binding protein, variant or binding fragment thereof that binds to one or more targets, comprising a first antigen binding protein, variant or binding fragment thereof that binds to EpCAM (epithelial cell adhesion molecule), and a second antigen binding protein, variant or binding fragment thereof, which binds to an immune cell marker, wherein the first antigen binding protein, variant or binding fragment thereof, which binds to EpCAM comprises a heavy chain variable region and / or a light chain variable region comprising a sequence as disclosed herein. Also disclosed are methods of generating / generating cells as disclosed herein and methods of treating with cells as disclosed herein.

The invention discloses a cerebrospinal fluid cell marking method and device, computer equipment and a storage medium, and relates to the technical field of cerebrospinal fluid cell marking, the cerebrospinal fluid cell marking method comprises the following steps: acquiring a cerebrospinal fluid cell image, and performing full-sheet display on the cerebrospinal fluid cell image, the cerebrospinal fluid cell image being an image obtained by performing full-sheet scanning on a cerebrospinal fluid cell smear; in response to a cell frame selection operation for the cerebrospinal fluid cell image, performing cell detection on a selected area, and performing frame selection positioning on cells detected in the selected area by using a square marking frame, the vertical distance between each edge of the square marking frame and the center of the cells being a preset distance; classifying the cells detected in the selected area by using a preset classification model to obtain classification information of the cells; obtaining color information corresponding to the classification information based on a preset mapping relation; and sequentially displaying the color blocks corresponding to the color information and the type names corresponding to the cells above the square marking frame.

The invention discloses a vascular endothelial cell as well as a preparation method and application thereof. The preparation method comprises the following steps: inoculating induced pluripotent stem cells into a culture medium containing an ROCK signal channel inhibitor for culturing, and inducing the cultured induced pluripotent stem cells by using a culture medium containing a Wnt signal channel activator and a BMP signal channel activator, so that the induced pluripotent stem cells are differentiated into mesoderm cells; inducing the mesoderm cells by using a culture medium containing a vascular endothelial growth factor and a cAMP signaling pathway agonist, so that the mesoderm cells are differentiated into endothelial coarse cells; and performing positive sorting of the endothelial cell marker CD144 on the endothelial coarse cells to obtain purified vascular endothelial cells. The induction path of the method is clear and efficient, the period is short, the vascular endothelial cell population with high purity, complete vascular barrier function and mature phenotype can be obtained, and the cell population can be applied to construction of a vascular network in a gel matrix.

The invention provides application of OPC-like cell detection in prediction of glioblastoma with epilepsy. Specifically, the invention provides an application of a detection reagent of OPC-like cell markers PDGFRA and EGFRvIII in prediction of epilepsy of people with glioblastoma. The invention has an application prospect in the field of diagnosis and treatment of diseases of glioblastoma with epilepsy.

Provided is a method for measuring a highly accurate and quantitative index that can be used for cancer diagnosis and therapeutic effect evaluation. The measurement method includes: a detection step for detecting, from blood collected from a subject, aggregates in which a central region exhibiting characteristics of enucleated cancer cells is surrounded by a plurality of cells that are white blood cells; and a counting step for counting the number of the aggregates detected in the detection step. The central region may exhibit at least one among: a first feature in which a detection reaction by a cancer epithelial marker is positive and a nucleus is not recognized; a second feature in which a detection reaction by a cancer epithelial marker is negative, a nucleus is not recognized, and a detection reaction by a leukocyte-lineage cell marker is positive; and a third feature in which a detection reaction by a cancer epithelial marker is negative, a nucleus is not recognized, and a detection reaction by a leukocyte-lineage cell marker is negative.

The invention provides a nipple discharge cytological examination method, and belongs to the technical field of nipple discharge cytological examination. Calculating an optimal detection parameter combination including a dyeing time parameter, an antibody concentration parameter, a cell counting threshold parameter, a fluorescence intensity threshold parameter and a cell morphology evaluation weight parameter, performing pasteurization and HE dyeing treatment on the nipple discharge smear according to the optimal parameter combination, and observing cell morphology characteristics. A multi-parameter flow cytometry is used for analyzing cell marker expression and cell cycle distribution, a fluorescence in situ hybridization technology is used for detecting chromosome abnormalities such as HER2 gene amplification, TOP2A gene change and chromosome No.17 centromere number change, and a diagnosis result risk grading system is established. The technical problem that in the prior art, nipple discharge cytology examination is not high in accuracy is solved.

A quality control slide of a cell counting device, includes: a base layer which is capable of transmitting light therethrough; a thin film layer which is formed on top of the base layer; a fluorescent layer which is formed on the thin film layer and expresses fluorescence by means of light transmitted through the base layer; and at least one cell marking part which is formed by piercing the thin film layer and through which the expressed fluorescence passes so as to be recognized as a cell.

To provide an improved verification method for verifying the performance of a fluorescence-based analysis system.SOLUTION: (a) negatively staining cells in a first portion of a standard sample comprising target cells expressing a target cell marker; (b) positively staining target cells in a second portion of the standard sample; (c) passing the first and second portions of the standard sample through an instrument to obtain a fluorescence measurement indicative of target cell concentration; (d) based on the fluorescence measurement obtained in (c), each diluted sample having a nominal concentration of target cells, each nominal cell concentration being greater than the concentration of target cells indicated by the fluorescence measurement of the negatively stained first portion in (a); Preparing a dilution series comprising a plurality of diluted samples, wherein the nominal concentration in each diluted sample is different from the nominal concentration in each of the remaining diluted samples; (e) passing the dilution series of (d) through the instrument and obtaining a fluorescence measurement; and (f) comparing the nominal cell concentration of (d) and the fluorescence measurement of (e) for each diluted sample to quantify the performance of the staining method in the instrument.SELECTED DRAWING: Figure 1

This application relates to methods for classifying cell markers. Methods and systems for classifying cell markers, such as identifying signaling cell markers, are disclosed herein. In some embodiments, the method includes: obtaining sequencing data of a barcoded target created using a barcoded target within a cell, wherein the barcode contains both cellular and molecular markers. After classifying these cellular markers, a minimum value of the second derivative graph of the cumulative sum can be determined. Using these methods, based on the number of molecular markers with different sequences associated with the cellular marker and a cellular marker threshold, the cellular marker can be classified as a signaling cell marker or a noise cell marker.

The invention relates to a method for characterizing images of cell cultures in order to quantify cell parameters. The steps of the method comprise detecting at least one cell parameter or cell marker parameter in an image of cells in culture; constructing a mosaic of the image (squares or rectangles, also referred to as tiles); defining an image with smaller dimensions (also referred to as a density map) by integrating values of the cell parameters or cell marker parameters in each fraction of the mosaic; applying deep learning algorithms, which are implemented for example by a convolutional neural network, to the images generated in step c in order to determine a proximity score for the images of treated cells with respect to images of healthy cells or untreated diseased cells.

Various cells, stem cells, and stem cell components, including associated methods of generating and using such cells are provided. In one aspect, for example, an isolated cell that is capable of self-renewal and culture expansion and is obtained from a subepithelial layer of a mammalian umbilical cord tissue. Such an isolated cell expresses at least three cell markers selected from CD29, CD73, CD90, CD166, SSEA4, CD9, CD44, CD146, or CD105, and does not express at least three cell markers selected from CD45, CD34, CD14, CD79, CD106, CD86, CD80, CD19, CD117, Stro-1, or HLA-DR.

The invention relates to the technical field of biology, in particular to a human characteristic cell-based mark making and long-term storage method which is used for individual identity recognition, biological information preservation and potential medical application. The existing identity recognition technology, such as fingerprint, DNA sequence or iris scanning, has the risk of single information, easy environmental destruction or privacy disclosure. The invention aims to provide a novel biomarker technology based on individual characteristic cells, and a traceable cell marker mark is formed by extracting specific human cells with division and proliferation capabilities and performing in-vitro amplification and permanent storage. According to the method, complete biological activity information of individuals can be reserved, high stability and uniqueness are achieved, and meanwhile cell resource reserve is provided for regenerative medicine.

The invention discloses application of combination of sophocarpidine and gallic acid in preparation of an additive for relieving intestinal injury of piglets, and relates to the technical field of molecular biology. The invention provides an application of combination of sophocarpidine and gallic acid in preparation of an additive for relieving intestinal injury of piglets, the concentration of sophocarpidine in the additive for relieving intestinal injury of piglets is 1-3 [mu] g / mL, and the concentration of gallic acid in the additive for relieving intestinal injury of piglets is 0.3-0.5 [mu] g / mL. The injury is the injury caused by enterotoxigenic escherichia coli. The matrine and gallic acid are combined for use, so that the epithelial barrier function can be improved, the budding efficiency of group-like organs is improved, the gene abundance of the closed protein Occludin, the gene abundance of the goblet cell marker MUC2 and the gene abundance of the absorption cell marker Villin are recovered to the level of a control group, and the effect is better than that of single use; the problems that enterotoxigenic escherichia coli damages intestinal tracts of piglets and the effect of an existing single additive is poor are effectively solved.

The invention discloses an application of a novel peptide UPCP in preparation of a medicine for treating and / or preventing psoriasis. Belongs to the technical field of biological medicine. The application discloses the treatment effect of the novel peptide UPCP on psoriasis for the first time, and researches find that the novel peptide UPCP can effectively relieve symptoms of a psoriasis model induced by LSP, TNF alpha and M2 in an in-vitro cell experiment, significantly down-regulate the expression level of psoriasis cell markers, significantly reduce the transcriptional level of psoriasis-related inflammatory factors, and improve the psoriasis treatment effect. The condition of excessive proliferation of HaCaT cells is effectively reduced. In in-vivo experiments, psoriasis symptoms such as skin desquamation, hyperplasia, erythema, thickening and splenomegaly of an imiquimod-induced psoriasis mouse model can be effectively relieved, the effect of treating psoriasis is achieved, and a new theoretical basis and intervention means are provided for clinical treatment of psoriasis.

The present invention provides a method for cell analysis, comprising: preparing a blood sample comprising nucleated cells having surface, cytoplasmic or nuclear antigens (markers); antibody staining the cell markers; fixing and permeabilising the cells; FISH probe hybridising to chromosomes in the cells; performing imaging flow cytometry on the cells; analysing data obtained from performing imaging flow cytometry; and diagnosing, prognosing or monitoring a medical condition based on the data analysis.

An analysis system for analyzing an image of fluorescently labeled circulating epithelial cells includes at least a processor. The processor executes a processing procedure, wherein the processing procedure includes steps of: detecting boundaries of multiple cell areas from the image; measuring fluorescence signal intensity of each cell area to calculate expression levels of various cell markers of each cell area; and determining marker statuses of various cell markers of each cell area according to the expression levels of various cell markers of each cell area.

The invention provides a targeting exosome for hair regeneration and a preparation method thereof. The method comprises the following steps: separating dermal mastoid cells with a cell marker CD133 from a hair follicle strain of a healthy donor, and culturing the dermal mastoid cells in a laboratory conforming to a Taiwan GTP cell preparation factory domain in China in a heterologous and serum-free environment. Then, a culture solution containing exosomes is collected from the cell culture solution, and the multiple exosomes have surface markers such as CD9, CD63 and CD81; and finally, separating, purifying and concentrating the exosome from the culture solution by utilizing a tangential flow filtration system method or a size exclusion chromatography method and other technologies to obtain the final targeting exosome freeze-dried powder product. The invention also provides a liquid hair growth preparation prepared from the exosome product.

Various cells, stem cells, and stem cell components, including associated methods of generating and using such cells are provided. In one aspect, for example, an isolated cell that is capable of self-renewal and culture expansion and is obtained from a subepithelial layer of a mammalian umbilical cord tissue. Such an isolated cell expresses at least three cell markers selected from CD29, CD73, CD90, CD166, SSEA4, CD9, CD44, CD146, or CD105, and does not express at least three cell markers selected from CD45, CD34, CD14, CD79, CD106, CD86, CD80, CD19, CD117, Stro-1, or HLA-DR.

The invention discloses a single-cell multi-dimensional mass spectrum data processing method, and relates to the technical field of data processing. The method comprises the steps that at least two original secondary spectrograms are acquired, the secondary spectrograms comprise ion mobility mass spectrum data frames of at least two continuous secondary spectrogram acquisition windows, the ion mobility mass spectrum data frames comprise mass-to-charge ratios and ion mobility values of target objects, and the target objects comprise metabolite ions and single cell marker ions; carrying out single cell ionization event identification processing on each original secondary spectrogram, and screening candidate secondary spectrograms from at least two original secondary spectrograms; determining a marker ion mobility mass spectrum data frame of the single cell marker ion corresponding to each secondary spectrogram acquisition window where the metabolite ion is located according to the acquisition mode of the original secondary spectrogram and the candidate secondary spectrogram; and summing the secondary spectrograms corresponding to the marker ion mobility mass spectrum data frames of the metabolite ions to obtain a target secondary spectrogram of the metabolite ions, so that the identification accuracy of the single cell metabolite can be improved.

The invention discloses an application of phi29DNAP (deoxyribonucleic acid) in rolling circle amplification of dNaM-dTPT3 (deoxyribonucleic acid / deoxyribonucleic acid). According to the invention, the amplification capability of phi29DNAP on a representative non-natural base pair dNaM-dTPT3 and an analogue thereof is found, and two rolling circle amplification methods of ExRCA and ExMRCA are constructed. The ExRCA and ExMRCA methods provided by the invention can be used for preparing DNA nano-molecules with functional markers, preparing products for detecting human alpha-thrombin, carrying out enzyme immobilization, preparing cell marking and imaging products, preparing glucose detection products and preparing hydrogel with transcriptional activity. Wide application prospects are shown in the fields of expanding genetic alphabets, constructing function-enhanced oligonucleotides, DNA catalysts, drugs, sensors, materials and the like.