77 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 invention discloses an imitated intercorial nano preparation for treating acute respiratory distress syndrome, and belongs to the technical field of biological medicine. The internalized nano preparation comprises an active component, a liposome phospholipid bilayer and a target head, wherein the active component consists of an ROS (reactive oxygen species) removing drug and an anti-inflammatory drug. According to the invention, efficient and accurate targeting of the nano-preparation is realized by innovatively applying an imitated interment effect, an apoptotic cell marker is modified on the surface of the liposome, and an'eat me 'signal is released to simulate a natural biological process that macrophages clear apoptotic cells to be recognized and swallowed by alveolar macrophages, so that efficient and specific targeting is realized, and the targeting effect of the nano-preparation is improved. Meanwhile, up-regulation of PS receptor expression of macrophages at the inflammation part further enhances the targeting effect, and a new way is provided for efficient delivery of acute respiratory distress syndrome medicine preparations and remodeling of pathological microenvironment.

A system and method for analyzing mechanical properties of biological tissues combines light-sheet fluorescence microscopy with mechanical perturbation capabilities. The system integrates a MEMS-based compression device, high-speed light-sheet scanner, and digital image correlation analysis to characterize viscoelastic properties of three-dimensional cellular structures. The system enables quantification of spatially-resolved mechanical characteristics and cellular responses through volumetric strain analysis, correlating mechanical properties with fluorescence-based cellular markers. Implementation with maternal-fetal interface models demonstrates capabilities in analyzing tissue mechanics during cellular invasion processes. The system provides applications in studying mechanical interactions in biological processes including embryonic development, cancer metastasis, and wound healing. The disclosed methodology enables unprecedented analysis of mechanical property dynamics at cellular interfaces in three-dimensional tissue environments.

The invention discloses a specific disease iconography feature extraction method and system based on deep learning, and relates to the technical field of image analysis, and the method comprises the steps: collecting X-ray image data, stem cell markers, magnetic resonance imaging image data and dynamic ultrasonic image data of an osteoarthritis patient; performing standardization processing on the X-ray image data, the stem cell marker, the magnetic resonance imaging image data and the dynamic ultrasonic image data to obtain a standardized X-ray image data set, a standardized stem cell marker, a standardized magnetic resonance imaging image data set and a standardized dynamic ultrasonic image data set; a standardized X-ray image data set, a standardized magnetic resonance imaging image data set and a standardized dynamic ultrasound image data set are acquired. According to the invention, through multi-modal image data fusion and biomechanics-stem cell characteristic dynamic coupling, early accurate diagnosis and repair potential evaluation of osteoarthritis are realized.

The present disclosure provides modified cells comprising a nucleic acid encoding an agent (e.g., a detection agent, a selection agent, or a detection agent and a selection agent) inserted at an endogenous proliferation gene or off-target cell marker gene, as well as compositions, methods, uses, and kits related thereto.

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.

The present invention relates to tumor-specific immune cell markers and their uses. Specifically, an immune cell marker combination is provided, comprising: (1) an immune cell activation marker, and (2) an immune cell inhibition marker, optionally further comprising (3) an intracellular marker, and / or (4) a tissue-resident memory marker. The marker combination of the present invention can more accurately identify and enrich tumor-specific immune cells, and the enriched cell population has better tumor reactivity and tumor killing function.

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.

Immune context scores are calculated for stage III colorectal tumor tissue samples using continuous scoring functions. Feature metrics for at least one immune cell marker are calculated for a region or regions of interest, the feature metrics including at least a density of human CD3+ cells in a region of interest including an invasive margin. A continuous scoring function is then applied to a feature vector, the output of which is an immune context score. The immune context score may then be plotted as a function of a diagnostic or treatment metric, such as a prognostic metric (e.g. overall survival, disease-specific survival, progression-free survival) or a predictive metric (e.g. likelihood of response to a particular treatment course). The immune context score may then be incorporated into diagnostic and / or treatment decisions.

The invention relates to the technical field of cell differentiation degree evaluation, and particularly discloses a stem cell differentiation degree evaluation method based on electron microscope image recognition, which comprises the following steps: adjusting electron microscope imaging parameters of each stem cell differentiation sample; based on the preprocessed stem cell differentiation sample images, stem cell differentiation degree characteristic data is extracted and analyzed, stem cell differentiation influence factors are matched, the stem cell differentiation degree in the stem cell differentiation sample images is determined based on a convolutional neural network model, and a stem cell differentiation thermodynamic diagram is generated; and determining a culture parameter adjustment instruction at the time of each stem cell differentiation sample image. The problems that a traditional cell marker detection method is time-consuming, labor-intensive and high in cost, functional identification is limited to detection of a single cell, high-throughput analysis is difficult to achieve, efficiency is low, the requirement of large-scale research is difficult to meet, dynamic adaptive capacity is insufficient, and evaluation precision is insufficient are solved.

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.