49 results about "Cell labeling" patented technology

The invention belongs to the field of single cell level nucleic acid detection, and particularly relates to a construction method and application of a high-throughput single cell transcriptome library based on probe targeted enrichment. According to the method, single cell fixed punching and hybridization enrichment of a specific targeting double probe designed by a target nucleic acid sequence are combined, the nucleic acid sequence comprises mRNA and non-coding RNA, the probe is connected with beads with barcodes through a connecting sequence on the probe, cell labeling is carried out, and library building steps such as extension and amplification are completed; therefore, the problems of insufficient transcriptome integrity, single detection target and low number of detected genes are solved.

The present application provides a method for screening cells, the method comprising: a step of preparing a plurality of cells, the plurality of cells labeled with a first barcode nucleic acid and treated with a test target, the first barcode nucleic acid associated with the test target; a step of selecting the plurality of cells based on a cell phenotype using an imaging cytometer; and, a step of identifying the test target used to treat each cell using the first barcode nucleic acid as an indicator.

The invention relates to the field of bioinformatics, and provides a single cell pedigree tracing method. According to the technical scheme, single cell transcriptome sequencing is combined with Bulk DNA targeted sequencing, so that the cost of pure single cell transcriptome sequencing is reduced, and the accuracy of single cell labeling is ensured through a subsequent filtering method of reserving a unique bar code.

The present disclosure includes systems, methods, compositions, and kits for assigning sequencing data of single cells to chambers. In some embodiments, a method for associating sequencing data of single cells with phenotypic data is provided. The present disclosure includes a solid support comprising a plurality of oligonucleotide barcodes, each of which comprises a cell labeling sequence. Each cell labeling sequence may comprise a predetermined chamber-indexing subsequence. Oligonucleotide barcodes located in the same chamber may comprise the same chamber-indexing subsequence, and oligonucleotide barcodes located in different chambers may comprise different chamber-indexing subsequences.

The invention relates to the technical field of photovoltaic cell labeling, and particularly discloses a bar code pasting mechanism of a photovoltaic cell. The bar code pasting mechanism of the photovoltaic cell comprises a rack, and a transfer assembly and a restoration assembly are installed on the rack. A transverse rod moving along the Y axis is installed on the machine frame in a sliding mode, an X-axis linear moving module is installed on the transverse rod, a first code pasting assembly for pasting a bar code on the bottom face of a photovoltaic cell panel and a second code pasting assembly for pasting a bar code on the bottom face of a photovoltaic cell string are installed at the two moving ends of the X-axis linear moving module respectively, and a bar code printing assembly is installed in the machine frame. The transverse rod drives the first code pasting assembly and the second code pasting assembly to reciprocate between the bar code printing assembly and the transferring assembly. A lifting and abutting assembly is installed beside the second code pasting assembly and used for lifting the end of the battery string to be separated from the battery panel. The efficiency of pasting bar codes on the bottom surfaces of photovoltaic cell panels and the efficiency of pasting bar codes on the bottom surfaces of cell strings can be improved.

The present application relates to the technical field of gastric cancer, and discloses a tumor cell quantification analysis method and system based on gastric cancer CLDN18, which comprises the following steps: presetting candidate points on a pathological section image; generating foreground and background auxiliary points for cell labeling points, and constructing a structured supervised target; extracting multi-scale semantic features through a pre-trained pathological large model, and generating an aggregated feature map through downsampling alignment and fusion operations; adaptively reconstructing candidate point features using implicit feature interpolation technology; predicting position offset and class confidence based on candidate point features, and determining cell position and class through threshold screening and offset optimization; optimizing the model in combination with an auxiliary point supervision mechanism, and outputting objective quantification results. The present application can significantly improve the positioning accuracy and classification consistency of CLDN18 positive tumor cells, and reduce the workload of doctors.

To provide a method for culturing a T-cell on a culture medium to which labeling amino acid is added, and detecting T-cell derived secretome labelled by the labeling amino acid, where a sufficient amount of T-cell derived secretome can be detected.SOLUTION: A method for detecting secretome includes: a labeling process of culturing a T-cell by T-cell labeling culture medium which contains labeling amino acid in which at least one kind of essential amino acid for T-cell proliferation is labelled instead of the amino acid, and contains a common γ-chain family cytokine; and a detection process of detecting T-cell derived secretome labelled by the labeling amino acid.SELECTED DRAWING: None

The invention discloses a stem cell density map regression counting method based on microscopic images, and relates to the technical field of image processing. The method comprises the following steps: acquiring microscopic images containing stem cells, and constructing a training image set and a to-be-detected image set; performing cell labeling on the training image set, generating truth value density maps in one-to-one correspondence with the training images according to labeling results, and obtaining training sample pairs; constructing and training a stem cell density map regression counting network, and inputting the to-be-detected image set into the trained stem cell density map regression counting network to obtain a prediction density map corresponding to each to-be-detected image; and carrying out integral summation on the predicted density map to obtain a counting result of the stem cells in the to-be-detected image. The method has the beneficial effects that the accuracy and the stability of a counting result can be remarkably improved under the complex background conditions of obvious cell morphology change, non-uniform density and the like, and the manual counting workload and subjective errors are effectively reduced.

Disclosed herein include systems, methods, compositions, and kits for the generation and use of oligonucleotide-conjugated beads wherein an individual bead has a different cell label for each capture sequence. The disclosed compositions and methods enable libraries generated from each capture sequence of an oligonucleotide-conjugated bead to be identified separately bioinformatically in some embodiments.

The application provides a kind of semi-automatic intelligent calibration method of cell in digital image.The method comprises: preparing the image dataset to be labeled containing target category cell;Manual ellipse marking is carried out on the target cell in the to-be-labeled dataset;Ellipse marking is taken as a reference, and a suitable mask generation function is designed according to the shape prior knowledge of the target cell;Ellipse marking is taken as a reference, and a suitable clustering method is selected to cluster the to-be-labeled image;Take the intersection of the generated mask and the clustering result as the primary pseudo-label of cell labeling;Relying on the ellipse marking, a loss function is constructed, and the pseudo-label is used to train the deep learning segmentation network, the false positive connected domain outside the ellipse marking is removed, and the remaining result is used as the new pseudo-label of cell labeling;Experts correct the pseudo-label generated by deep learning, remove the obvious false positive and supplement the labeling of the obvious missed connected domain to obtain more accurate pseudo-label;Repeat the first two steps for several times until the expert is satisfied with the label generation effect, save the intelligent labeling model and the labeling result.The scheme of the application combines the shape prior of the target cell, only needs manual ellipse marking of the cell, greatly reduces the cost of manual labeling under the premise of ensuring the accuracy of label generation, can be applied to the labeling task of various morphologies of cells under various modalities, and has the advantages of convenient and efficient, high precision, wide application range, good generalization, etc. in the field of cell labeling.

The invention relates to the technical field of single-cell sequencing, and discloses a high-quality single-cell Hi-C library building method, which comprises the following steps: by utilizing a cumulative effect, carrying out cross-linking immobilization, enzyme digestion, biotinylated nucleotide filling-in and connection on population cells, sorting single cells, immediately marking different bar code combinations on each cell, mixing extracts of each cell, and carrying out high-quality single-cell Hi-C library building. After mixing, the cell population is equivalent to a small amount of cell population, enriching biotinylated DNA by using streptavidin magnetic beads, and finally establishing a library. According to the method, the library quality can be remarkably improved while the single cell resolution is maintained.

Provided herein are monosaccharides, e.g., compounds of Formula (I), and pharmaceutical compositions thereof. Also provided herein are methods of their use for cell labeling for diagnostic and / or therapeutic applications. [Formula 1] TIFF2025541836000133.tif18170

The invention discloses a method for manufacturing and storing human cell mark marks, and belongs to the technical field of biology. According to the method, living cells (such as fibroblasts or mesenchymal stem cells) derived from individual skin, oral mucosa or hair follicles and the like are collected in a non-invasive manner, after in-vitro amplification, a unique identification sequence is inserted into a genome safety site by utilizing a CRISPR-dCas9 system, and optical codes are generated in combination with a quantum dot fluorescence labeling technology, so that double encryption is realized. The cells are stored in a liquid nitrogen gas phase (-196 DEG C) after programmed cooling, and the long-term survival rate is greater than 95%. The method solves the problems that a traditional biomarker technology is single in information and easy to tamper, has high stability, uniqueness and traceability, and is suitable for the fields of identity recognition, medical resource reserve, biological information archiving and the like.

The application belongs to the field of single cell sequencing, and discloses a construction method of a single cell multi-modal sequencing library, comprising the following steps: S1: preparing a cell nucleus suspension; S2: mixing each sample cell nucleus with a Tn5 transposome complex, and obtaining a cell nucleus containing sample barcode and ATAC-seq library fragment in situ labeling after transposition reaction; S3: mixing all sample cell nuclei, and then incubating them with different first antibodies and second antibodies in turn; adding a protein A-Tn5 transposome complex mixture, and obtaining a cell nucleus containing target barcode and CUT&Tag library fragment in situ labeling after transposition reaction; S4: mixing all cell nuclei, and performing reverse transcription reaction, and collecting RNA-seq library in situ reverse transcription cell nuclei; S5: after three rounds of single cell index labeling, the cell nuclei are divided into several sub-libraries; S6: sub-library cell lysis separates DNA and RNA, and constructs a DNA sequencing library and an RNA sequencing library containing ATAC-seq and CUT&Tag-seq information respectively. The single cell multi-modal sequencing library can obtain complete multi-omics data through high-throughput sequencing.

The invention discloses a chromoprotein mutant and application thereof, and relates to the technical field of biology. According to the invention, a plurality of chromoprotein mutants with different colors and color depths are generated through point mutation on the basis of purple chromoprotein of Gfast Purple derived from coral, and the chromoprotein mutants are obvious in color generation, have no obvious toxicity to escherichia coli, are suitable for expression in prokaryotic and eukaryotic organisms, are high in stability, and can be used for preparing the chromoprotein mutants with different colors and color depths. The method has good potential application value in the fields of biological color regulation and control, cell marking, natural pigment additives and the like.

Provided herein are monosaccharides that can be activated by ALDH, e.g., compounds of formula (A) and pharmaceutical compositions thereof. Also provided herein are methods of their use in cell labeling for diagnostic and / or therapeutic applications.

Provided herein are methods and materials for labeling and annotating living cells in minute organoid spheres (MOSs), as well as methods for assessing MOS containing labeled living cells.

Provided herein are monosaccharides, e.g., a compound of Formula (I), and pharmaceutical compositions thereof. Also provided herein are methods of their use for cell labeling for diagnostic and / or therapeutic applications.

The embodiment of the invention provides a method and system for automatically assisting lymphoma pathological cell labeling and training, and belongs to the technical field of medical image labeling. The method for automatically assisting lymphoma pathological cell labeling and training comprises the following steps: acquiring a lymphoma pathological cell image uploaded by a user, and separating a cell part in the lymphoma pathological cell image through an SAM model; and identifying the features of the cell part through a ViT model, completing classification, and generating a cell labeling classification result. According to the method for automatically assisting in lymphoma pathological cell labeling and training, organic combination of an automatic labeling technology and a collaborative labeling mechanism is achieved, efficient automatic labeling is supported, manual participation in adjustment and confirmation is allowed, and the efficiency and quality of pathological image labeling are remarkably improved through multiple rounds of collaboration and intelligent aggregation. According to the method, the cell segmentation model can be automatically optimized, and the revised result of manual annotation is used as new training data to optimize model parameters. The system not only can be used as a marking tool, but also can be used as a training and skill growth tool for green doctors.

The invention discloses a monoclonal antibody 2F10-36A5 for resisting HpFT protein, a product based on the monoclonal antibody 2F10-36A5 and application of the monoclonal antibody 2F10-36A5, and belongs to the technical field of monoclonal antibodies. The invention discloses amino acid sequences of variable regions of a light chain and a heavy chain of an anti-HpFT protein monoclonal antibody, and experiments prove that the anti-HpFT protein monoclonal antibody 2F10-36A5 has high affinity, can specifically recognize target antigen HpFT protein, can be used for preparing a product for detecting the HpFT protein level or preparing a cell marking system, and can be used for detecting the HpFT protein level. The product comprises a detection reagent, a kit or detection test paper.

The application discloses an anti-HpFucT protein monoclonal antibody and products and applications thereof, and belongs to the biomedical technical field.The HCDR1, HCDR2 and HCDR3 of the antibody heavy chain variable region are respectively shown as SEQ ID No.1-3 or a homologous sequence thereof, the LCDR1, LCDR2 and LCDR3 of the light chain variable region are respectively shown as SEQ ID No.6-8 or a homologous sequence thereof, or are respectively shown as SEQ ID No.9, 7, 10 or a homologous sequence thereof, or are respectively shown as SEQ ID No.6, 7, 11 or a homologous sequence thereof.The antibody can specifically recognize a target antigen HpFucT protein, has high affinity, and can effectively inhibit the enzyme activity of the HpFucT protein.The antibody can be used for preparing a composition for detecting or diagnosing a disease related to the HpFucT protein, a product for purifying the HpFucT protein, a product for detecting the HpFucT protein level, a cell labeling product, a product for inhibiting the HpFucT enzyme activity, and a product for treating a disease related to the HpFucT protein.

This invention discloses a spatial single-cell transcriptome sequencing method based on light-controlled cell labeling. The method uses ONPF-biotin as a probe and includes labeling the cells to be sequenced with ONPF-biotin; sorting the ONPF-biotin-labeled cells; and performing single-cell sequencing. This invention achieves efficient light-controlled cell labeling and spatial single-cell transcriptome sequencing, solving the problems of low labeling efficiency, limited number of labeling sites, high background signal, and dependence on genetic manipulation in existing methods. It provides a new generation solution for studying the spatial distribution and regulation of cells in different biological systems.

The invention belongs to the technical field of biomedical detection, and discloses a recombinant streptococcus protein-streptavidin fusion protein which is formed by connecting recombinant streptococcus protein and core streptavidin SA through a linker. The recombinant streptococcus protein comprises four repeated C3 segment concatemers, C3 is a functional region capable of being combined with an Fc segment of IgG in the streptococcus protein G, and the amino acid sequence of the core streptavidin SA is as shown in SEQ ID No.1. The fusion protein r-Protein G-SA provided by the invention has a strong signal enhancement effect, and does not need other signal amplification means for signal amplification, so that the preparation process is greatly simplified. The obtained fusion protein r-Protein G-SA is good in soluble expression effect and high in purity after separation, and can be applied to preparation of immunoassay products and cell markers.

Disclosed herein include systems, methods, compositions, and kits for conjugating customizable sequences to beads. In some embodiments the methods provided herein do not require the use of a long fixed domain sequence to ligate on new sequences of interest. In some embodiments the disclosed methods can be employed to add cell label-specific sequences of interest to create sub-populations of beads with different added sequences.

The invention provides a method of preparing a 89Zr-oxine complex of the formulaThe invention also provides a method of labeling a cell with the 89Zr-oxine complex and a method for detecting a biological cell in a subject comprising administering the 89Zr-oxine complex to the subject.

The present disclosure provides methods, device, assemblies, and systems for dispensing and visualizing single cells. For example, provided herein are systems and methods for dispensing a dispense volume into a plurality of wells of a multi-well device, where, on average, a pre-determined number of cells (e.g., 1-20) are present in the dispense volume, and determining, via a cellular label, the number of cells present in each of the plurality of wells. Such dispensing and cell detection may be repeated a number of times with respect to wells identified as having less than the pre-determined number of cells in order increase the number wells in the multi-well device containing the desired number (e.g., a single cell).

The invention provides a method of preparing a 89Zr-oxine complex of the formulaThe invention also provides a method of labeling a cell with the 89Zr-oxine complex and a method for detecting a biological cell in a subject comprising administering the 89Zr-oxine complex to the subject.

Methods that include tagging at least one cell with a MXene, the cell optionally being an immune cell; and detecting at least one component of the MXene using one or more of single-cell mass cytometry by time-of-flight (CyTOF), imaging mass cytometry (IMC), and ion beam imaging (MIBI-TOF). Systems that include a cell tagged with an amount of a MXene; and a detection train configured for at least one of time of flight (CyTOF), imaging mass cytometry (IMC), and ion beam imaging by time-of-flight (MIBI-TOF) that detects the MXene. Methods that include tagging a population of cells with at least one MXene: and processing the population of cells with at least one of time-of-flight (CyTOF), imaging mass cytometry (IMC), and ion beam imaging by time-of-flight (MIBI-TOF) that detects the at least MXene; and relating the detection of the at least one MXene to a characteristic of the population of cells.

Disclosed herein are apparatuses and methods relating to single-cell organelle extraction with cellular indexing. In an implementation, an example multilayer microfluidic device includes a plurality of first microwells and a plurality of second microwells. The first microwells include a gel layer and a gel floor layer. Each of the first microwells is aligned with one of the second microwells in the implementation shown. One or more single cells may be lysed within the first microwells in operation to release cytoplasmic biomolecules and organelles and an electric field may be applied to the first microwell in the gel layer, thereby separating cytoplasmic biomolecules within the gel layer and the gel floor layer is dissolved to enable organelles to be collected in the individual second microwells. The gel floor layer may be dissolved by contacting the gel floor with a reducing agent as an example.