30 results about "Cellular phenotype" patented technology

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

The present disclosure provides a method of evaluating a mechanism of bipolar disorder, in particular mood switch, in human-derived neurons which may include providing a mechanism of an attenuated protein interaction of CaV1.2 and BK that can cause the calcium signaling deficit, the main cellular phenotype. The present disclosure further provides a method of evaluating a composition for efficacy in treating bipolar disorder, including providing a genetically modified mouse exhibiting BK channel haploinsufficiency; administering the composition to the genetically modified non-human animal; exposing the genetically modified mouse animal to a mild stressor; and determining whether the genetically modified mouse animal experiences a behavioral switch. The present disclosure also provides a method of treating bipolar disorder in a subject in need thereof, including administering to the subject a therapeutically effective amount of a BK channel agonist.

The invention belongs to the technical field of biological medicine, and particularly relates to a construction method of a gastric mucosa intestinal epithelial metaplasm type organ model with goblet cell phenotype. The model is characterized by MUC2 + MUC6 + goblet cells, and histological characteristics of gastric mucosa intestinal metaplasia are more deeply simulated from the aspect of cell phenotype. The construction method comprises the following steps: (1) obtaining a human stomach gland to prepare an organoid; (2) subculturing the organoid; (3) construction of a pCDH-CMV-MCS-EF1-CDX2-Puro overexpression lentiviral vector, and construction of a pCDH- (4) virus packaging; (5) constructing CDX2 overexpression stably transfected cells and organoid; and (6) carrying out gradient differentiation on the CDX2 overexpression organoid to prepare the intestinal metaplasia organoid. According to the invention, the pathological transformation of the cytology level in the gastrointestinal mucosa intestinal epithelial metaplasia process is realized in the in-vitro model for the first time, and a new research model and theoretical guidance are provided for the diagnosis, prevention and individualized precise treatment of precancerous lesions of gastric cancer.

The present invention relates generally to compositions, systems and methods for modulating hepatitis B virus (HBV) by targeting gene repression. In particular, the present invention provides an epigenetically modified DNA targeting system, such as a CRISPR-Cas / guide RNA (gRNA) system, for transcriptional repression of hepatitis B virus genes to promote cell phenotypes that lead to reduced HBV infection. In some embodiments, the epigenetically modified DNA targeting systems of the present invention bind to or target a target site of at least one gene in the hepatitis B virus DNA sequence or a regulatory element thereof in a cell. In some aspects, the systems provided herein relate to transcriptional repression of one or more hepatitis B virus genes and / or regulatory elements thereof. In some aspects, the invention also provides methods and uses associated with the provided compositions, such as in repression of hepatitis B virus replication and expression associated with hepatitis B infection.

Methods and processes disclosed herein generally involve training a machine learning model to identify a condition active in changing a cellular phenotype. In particular, cells having the cellular phenotype can be cultured in wells having a reference condition that changes the cellular phenotype, along with a background compound to provide a reference plurality, and cells having the cellular phenotype can be cultured in wells having a background compound to provide a non-reference plurality. A staining and imaging assay can be performed on the reference and non-reference pluralities after incubation, and the images are applied to a machine learning model to classify the results into activity data, to identify a "hit" activity plurality as corresponding to the reference plurality, and a "non-hit" activity plurality as corresponding to the non-reference plurality. The machine learning model can be used in a process to identify a test condition predicted to be active in changing a cell line phenotype.

A composition is provided comprising a cell population and pharmaceuticals derived from human gingival fibroblasts, present in proportions not found in natural gingival tissue, but having a cellular phenotype preferentially selected to express proteins favorable for angiogenesis and anti-inflammatory effects, while reducing the formation of cell populations that promote tumorigenesis and / or metalloproteinases that inhibit tissue regeneration. A method for producing such a composition that increases proliferation several times over compared to previously known methods is provided, and a method for using such a composition in a wide range of human cell therapies is also provided.

Techniques for identifying a cellular phenotype indicative of a condition of a subject are described. The techniques can include identifying sequence read data indicating sequences of DNA fragments from a sample from a subject; determining, based on the sequence read data, endpoint positions of the DNA fragments; determining input features based on the endpoint positions of the DNA fragments; and predicting, using a classifier and based on the input features, a cellular phenotype indicative of a condition, such as a cancer, within the subject.

Certain embodiments of the invention are directed to evaluating and identifying cells by recording and interpreting a time-dependent signal produced by unique cell respiration and permeability attributes of isolated viable cells. Some methods comprise dividing the sample into two or more sub-samples or sample portions, mixing each sub-sample or sample portion with one or more reagents and / or one or more reactants forming distinct sub-sample or sample portion mixtures, compartmentalizing each of the sub-sample or sample portion mixtures into a plurality of small volume compartments, monitoring characteristics of the small volume compartments over time and collecting compartment data, and transmitting the collected data to at least one neural network.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

Provided herein are methods of using a machine learning model to analyze a combination of imaging data and sequencing data to characterize cellular phenotypes and evaluate perturbation effects of drugs and genetic perturbation effects.

A method for predicting drug pathways that modulate cellular phenotypes is provided. The method includes obtaining a logic-based differential equation model of a signaling network relating to a cellular phenotype, comprising nodes representing proteins or mRNAs and edges representing interactions. The method further includes identifying candidate compounds affecting the cellular phenotype, determining protein targets using a drug-target database, and mapping pathways from protein targets to network nodes by searching a protein interaction database and computing ranked pathways by minimizing a cost function based on edge weights. The method includes expanding the model by incorporating mapped pathways, simulating expanded model variants to predict compound effects on the cellular phenotype, and outputting predictions of how candidate compounds modulate the cellular phenotype through identified pathways.

The present disclosure provides a method for screening cells, the method including a step of preparing a plurality of cells which are tagged with a first barcode nucleic acid associated with a test target and treated with the test target, a step of sorting the plurality of cells based on cellular phenotype using an imaging cell sorter, and a step of identifying the test target used to treat each cell using the first barcode nucleic acid as an indicator.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

The present disclosure provides a method that may include extracting a plurality of features for each cell depicted in an image. A biomarker recognition model may be applied to determine whether each cell is associated with a variety of biomarkers based on a feature associated with the cell. A set of probabilities for each cell in the population of cells may be determined based on an output of the biomarker recognition model. For each biomarker, the set of probabilities may include a probability that a corresponding cell is associated with the biomarker. One or more subsets of cells may be identified based on the set of probabilities associated with each cell, each of the one or more subsets of cells corresponding to a different cell phenotype. A set of features associated with each subset of cells may be identified as indicative of a probability that a cell is associated with a corresponding phenotype. Related systems and computer program products are also provided.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

The present invention generally relates to the field of genome engineering (gene editing), and more specifically to ex vivo gene therapy for the treatment of Activated PI3kinase Delta Syndrome type 1 (APDS1) related to PIK3CD gene. Particularly, the present invention pertains to the treatment of PIK3CD deficiency in hematopoietic stem cells (HSCs) and / or T-cells. The present invention provides means and methods for genetically modifying HSCs and / or T-cells involving gene editing reagents, such as TALE-nucleases, that specifically target an endogenous PIK3CD locus, at least in the PIK3CD allele comprising at least one APDS1-associated mutation, thereby allowing the restoration of the normal cellular phenotype. The present invention also provides engineered PIK3CD-edited HSCs and engineered PIK3CD-edited T-cells comprising at least one exogenous sequence comprising a nucleic acid sequence encoding a functional PI3Kδ protein which is integrated in said HSCs' or T-cells' genome into a PIK3CD locus, in a non-functional PIK3CD allele, resulting in the expression of a functional PI3Kδ polypeptide. The present invention further provides populations of cells comprising said engineered HSCs or T-cells, pharmaceutical compositions comprising said engineered cells or populations of cells, as well as their use in gene therapy for the treatment of APDS1.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

Described herein is a method for identifying combinations of perturbations that result in a cellular phenotype. In some embodiments, the method may comprise making a library of cells that have received combinations of perturbations, analyzing a subset of the cells at a single cell level, by measuring a phenotype in the cells and identifying which combinations of perturbations have been applied to the cells and, based on the results obtained from the analysis, calculating scores for the identified combinations of perturbations and scores for theoretical combinations of the perturbations, wherein each score indicates the likelihood that a combination of perturbation generates the phenotype.

The present disclosure is related to systems and methods to be used as aids in the diagnosis of risk for oral cancer by identifying cellular phenotype characteristics of a noninvasive brush biopsy sample.

The present disclosure is related to systems and methods to be used as aids in the diagnosis of risk for oral cancer, potentially malignant oral lesion (PMOL), and / or oral epithelial dysplasia (OED) by identifying cellular phenotype characteristics of cell samples, including percentage of mature squamous cells, presence or absence of nuclear actin in mature squamous cells, percentage of non-mature squamous cells, percentage of small round cells, percentage of white blood cells, and percentage of lone nuclei.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

The invention relates to the technical field of biological detection, in particular to a biomarker, a kit and diagnostic equipment for predicting multiple myeloma. The invention provides an application of a substance for detecting the genomic characteristics of an scRNA-C12 cell cluster in preparation of a product for predicting multiple myeloma. The substance for detecting the genome characteristics of the scRNA-C12 cell cluster is a reagent for determining the level of a characteristic gene in the circulating plasma cell scRNA-C12 cell cluster in peripheral blood. The biomarker for predicting multiple myeloma is obtained by deeply researching circulating plasma cells in peripheral blood, defining cell phenotypes of the circulating plasma cells and screening, and a brand new method is provided for prognosis diagnosis of high-risk patients.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

The present disclosure is related to systems and methods to be used as aids in the diagnosis of risk for oral cancer by identifying cellular phenotype characteristics of a noninvasive brush biopsy sample.

Provided herein are epigenetic-modifying DNA-targeting systems, such as CRISPR-Cas / guide RNA (gRNA) systems, for the transcriptional repression of Hepatitis B viral (HBV) genes to promote a cellular phenotype that leads to the reduction of HBV infection. In some embodiments, the epigenetic-modifying DNA-targeting systems bind to or target a target site of at least one gene or regulatory element thereof in a Hepatitis B viral DNA sequence in cell. In some aspects, the provided systems relate to the transcriptional repression of one or more Hepatitis B viral gene and / or regulatory element thereof. In some aspects, also provided herein are methods and uses related to the provided compositions, for example in repressing Hepatitis B viral replication and expression in connection with Hepatitis B infections.

A system and method for predictive modeling of cellular systems assesses compound effectiveness on cellular metabolic and inflammatory states. Cellular samples are exposed to metabolic MRX sensors detecting oxidative stress, reporting cytoskeletal organization, or monitoring mitochondrial morphology, dynamics, or compartment-specific redox activity. Images of MRX sensor-labeled samples are captured using an imaging device and analyzed by trained predictive models to determine compound impact on immunological activation, inflammatory status, oxidative stress, mitochondrial function, and bio-energetic state. The system supports multisensor integration and spectral unmixing to generate multidimensional metabolic or ROS related MRX fingerprints that characterize cellular phenotypes, drug responses, and enable comparison to reference states. Preprocessing modules perform image normalization, augmentation, segmentation, and feature extraction to enhance model performance. Predictive models classify treatment conditions, identify perturbation-specific signatures, and enable compound ranking or mechanism-of-action inference. The system provides an objective, scalable, and high-content platform for drug screening, toxicity assessment, and inflammation research.

A method may include extracting a plurality of features for each cell depicted in an image. A biomarker identification model may be applied to determine, based on the features associated with each cell, whether the cell is associated with various biomarkers. A set of probabilities for each cell in the population of cells may be determined based on an output of the biomarker identification model. The set of probabilities may include, for each biomarker, a probability of a corresponding cell being associated with the biomarker. One or more subsets of cells, each of which corresponding to a different cellular phenotype, may be identified based on the set of probabilities associated with each cell. A feature set associated with each subset of cells may be identified as being indicative of a probability of a cell being associated with a corresponding phenotype. Related systems and computer program products are also provided.

The present invention provides a BRD4 exon deletion model for studying the functions of different BRD4 subtypes and tumor development, and relates to the technical field of biological model construction. The model is used to study the occurrence and development of tumors, and the deleted exon is exon 14 of human BRD4 or exon 15 of mouse BRD4. By establishing a stable cell line model in which different exons of human BRD4 and different exons corresponding to mouse BRD4 are deleted for studying the occurrence and development of tumors, the effects of different exon regions on cell phenotypes such as tumor proliferation, migration, adhesion, and differentiation stemness are studied for a long time. At the same time, we can also conveniently use it for long-term drug screening of some cell lines. The animal model is also suitable for long-term metastasis research of tumors in vivo.