15 results about "Cell metabolite" patented technology

The invention discloses a single-cell metabolite spectrum quantitative analysis platform and method based on droplet microfluidics, and relates to the technical field of mass spectrometry. The platform comprises a fluid pumping module, a cell oscillation module, a microfluidic mixed liquid drop generation module, a microfluidic mixed liquid drop reinjection and separation module and a mass spectrometry module. The fluid pumping module comprises a high-pressure nitrogen cylinder and a gas pressure driver; the cell oscillation module comprises a cell oscillator; the micro-fluidic mixed droplet generation module comprises a micro-fluidic droplet generation chip, a cell lysis solution, an internal standard, an oil phase, a cell suspension and a droplet collection and incubation centrifugal tube; the micro-fluidic mixed liquid drop reinjection and separation module comprises a micro-fluidic liquid drop reinjection and separation chip; and the mass spectrometry module comprises an electrospray needle and a mass spectrometer. According to the method, the single cell is captured and the internal standard substance is introduced at the same time by using droplet microfluidics, and mass spectrometry is carried out, so that high-flux single cell encapsulation and accurate quantification of metabolites are realized.

The invention discloses a fresh food after-ripening characteristic and demand prediction transportation aging collaborative optimization method, and relates to the technical field of fresh food transportation, the method comprises the following steps: using a sensor to collect temperature and humidity, gas concentration and cell metabolite data in a fresh food after-ripening process; according to the invention, temperature, humidity, gas concentration and cell metabolite data of the fresh food are collected in real time by using a sensor in a transportation link, and deep fusion and analysis are carried out in combination with multi-source external information such as historical sales data, social media public opinions, weather disaster early warning and the like, so that precise control of the after-ripening state of the fresh food is realized; according to the method, deep learning and association rule mining technologies are applied, a dynamic decision model is constructed, and the transportation time efficiency and the distribution strategy are optimized in real time according to after-ripening characteristics and demand prediction, so that the fresh food loss can be effectively reduced, the product quality is ensured, the transportation resource utilization rate is improved, the logistics cost is reduced, the market demand is accurately matched, and stockout and overstock phenomena are reduced.

The present invention discloses a method for cell cycle labeling and identification based on organic mass spectrometry detection technology, belonging to the technical field of cell biology. Two types of small molecule tags, namely DNA-targeting molecules and microtubule-targeting molecules, are used to label cells, and the optimized labeling conditions can label living cells. Such tags have good compatibility with organic mass spectrometry detection technology, are applicable to various ionization modes of organic mass spectrometry analysis, have high dissociation efficiency during the ionization process, and good mass spectrometry response. The tag signals and intracellular endogenous lipid signals can simultaneously serve as the basis for cell cycle differentiation and identification, and have good differentiation and identification effects on the G0 / G1, S, G2, and M cell cycle stages. While identifying the single-cell cycle, this method can collect single-cell metabolite information, and further study cell metabolism-related activities at specific cell cycle stages, and has broad application prospects in the fields of stem cell analysis, tumor diagnosis, and systems biology research.

The application belongs to the technical field of single-cell metabolite detection, and specifically provides a single-cell metabolite qualitative method and system, the qualitative method comprising the following steps: A1. obtaining raw data of metabolites by using a detection module; A2. calculating similarity scores of the raw data and candidate data in a database by using a data analysis module; A3. arranging the candidate data in descending order from high to low according to the similarity scores, and cutting off the top 20% of candidate data with high confidence to form sequence 1, denoted as [candidate metabolites] i ; A4. re-arranging the candidate data in sequence 1 according to the biological rationality of metabolites by using a data arrangement module to form sequence 2, denoted as [candidate metabolites] j ; A5. qualitatively determining the metabolites as the candidate metabolites equal to min(i+j) . The application has the advantages of high metabolite qualitative accuracy, high efficiency, strong applicability and the like.

The application discloses a kind of single-cell metabolite in vivo in situ detection method, which comprises the following steps: establishing single-cell cytoplasm sampling volume / single-cell volume relative quantification method, obtaining the relative maximum cytoplasm extraction volume when maintaining single-cell survival;Build composite ion source, obtain the minimum sampling volume of 150 metabolites detected from single cytoplasm, obtain the sampling volume of single-cell cytoplasm in the in vivo in situ detection of metabolome;Through picoliter pump probe microscope fixed-point positioning puncture cell membrane, extract the cell cytoplasm of the above sampling volume;Metabolites in the extracted single-cell cytoplasm are ionized using composite ion source;Metabolites after ionization are detected by mass spectrometry.The application can realize multiple single-cell cytoplasm extraction of in vivo embryo during development, mass spectrometry metabolite detection, while ensuring cell survival, multiple sampling, while realizing accurate detection of trace metabolites in single cell.

The invention discloses a co-culture bottle for different types of cells, which comprises a bottle body, a separation membrane is arranged in the bottle body, the interior of the bottle body is divided into a first culture area and a second culture area by the separation membrane, the bottle body is provided with a first bottle opening and a second bottle opening, the first bottle opening is communicated with the first culture area, and the second bottle opening is communicated with the second culture area. And the second bottle opening is communicated with the second culture area. The bottle body is divided into the first culture area and the second culture area which are independent from each other through the separation membrane, so that physical isolation of different types of cells can be realized, target cell purity reduction caused by mutual confusion of the cells is avoided, free exchange of small molecular substances such as a culture medium, cell metabolites and growth factors can be allowed by utilizing a microporous structure, and the cell culture efficiency is improved. The requirement of interaction between cells through substance signals in co-culture is met, and the in-vivo cell microenvironment is simulated to the maximum extent.

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 a method for evaluating, regulating and controlling ultraviolet B-band (ultraviolet B, UV-B) irradiation enrichment of grape secondary metabolites on the basis of a microtubulin array. The material is used for evaluating a microtubulin array and preparing a sample solution for determining secondary metabolites by applying a high performance liquid chromatography, and by detecting the enrichment degrees of the cell metabolites of rutin, kaempferol, myricetin and resveratrol before and after irradiation, the microtubulin array can be used for evaluating the microtubulin array and preparing the sample solution for determining the secondary metabolites. The raw materials for preparing food and cosmetics with anti-inflammatory and anti-oxidation effects are obtained. The invention creates a complete method from treatment time and treatment steps of UV-B irradiation of the American sandy grape cell suspension, monitoring of dynamic changes of tubulin and cell morphology indexes, and detection of changes of cell metabolites such as rutin, kaempferol, myricetin and resveratrol before and after irradiation. And a new way is provided for applying the enriched grape natural secondary metabolites to production of food and cosmetics with anti-inflammatory and anti-oxidation effects.

A method for producing cellular metabolites by cultivating lactobacillus cells in cell culture, comprising feeding the cell culture in an aerobic reactor system during a production phase with a feed medium comprising a carbon source for bioconversion into cellular metabolites, and isolating the cellular metabolites from the cell culture, and the lactobacillus strains deposited as DSM 33056, DSM 33057, DSM 33058, DSM 33059 and DSM 33060, or progeny or derivatives of any of the foregoing strains.

The invention provides a cell metabolite detection method based on an infrared spectrum multi-scale feature fusion network, which comprises the following steps: collecting time sequence infrared spectrum data and corresponding content labels of cell metabolite, and constructing a data set after preprocessing; designing a deep learning architecture composed of feature coding, double-flow feature extraction, a fusion network and an output network; after the feature coding network extracts spectral local features, the double-flow network obtains global spectral features through remote dependence modeling of spectral branches and analyzes and extracts long-term time-varying features through time dependence analysis of time sequence branches; introducing a spectrum channel importance evaluation matrix into the feature fusion network, performing channel enhancement and redundancy suppression on time-varying features, and extracting deep relation features in combination with a product adjacency matrix; and finally, mapping into a metabolite type and concentration prediction value through a multi-stage linkage output network. The traditional manual analysis bottleneck is broken through, and high-precision quantitative detection is realized through spectrum-time sequence cross-scale feature collaborative optimization.

A method of producing a cell metabolite by culturing Lactobacillus cells in a cell culture, comprising feeding the cell culture in an aerobic reactor system during a production phase using a fed medium comprising a carbon source for bioconversion to a cell metabolite, and isolating the cell metabolite from the cell culture, and a strain of Lactobacillus sp. Preserved as DSM 33056, DSM 33057, DSM 33058, DSM 33059, and DSM 33060, or a progeny or derivative of any of the aforementioned strains.

The invention relates to the technical field of cell and 3D living body tissue culture, in particular to an organ chip which comprises a primary cell and 3D living body tissue culture unit, a connecting unit and a secondary cell and 3D living body tissue culture unit which are connected in sequence, cell metabolites in the primary cell and 3D living tissue culture unit flow into the secondary cell and 3D living tissue culture unit through the connecting unit; the secondary cell and 3D living body tissue culture unit comprises at least one secondary cell and 3D living body tissue culture chamber; and a confocal observation slide is arranged at the bottom of the secondary cell and 3D living tissue culture room. According to the invention, the structural form that the primary cell and 3D living body tissue culture unit is connected with the secondary cell and 3D living body tissue culture unit through the connecting unit is designed, and the secondary cell and 3D living body tissue culture unit is used as a real-time dynamic monitoring unit to dynamically monitor cells and 3D living body tissue secretions in real time.

The invention relates to a real-time monitoring method for cell metabolites, and belongs to the technical field of biosensing and cell analysis. The method comprises the following steps: culturing cells on a substrate integrated with a first (electrochemical) type (optical) sensing unit and a second (optical) type (electrochemical) sensing unit which are arranged in a coplanar and staggered manner; in the monitoring process, electric signals of all the first-class sensing units and optical images of all the second-class sensing units are synchronously collected through hardware time sequence control, and timestamps and position information are recorded; performing fusion processing on the signals in the same period, namely generating a first spatial distribution data frame according to the position information combination electric signal, converting the optical image to generate a second spatial distribution data frame, and aligning the first spatial distribution data frame and the second spatial distribution data frame according to a pre-calibrated spatial mapping relation; and finally, based on the aligned data frame pairs on the time sequence, generating dynamic association information reflecting the time-space collaborative change of the concentrations of the at least two metabolites. According to the method, multi-parameter and high-temporal-spatial-resolution in-situ real-time monitoring and visual analysis of the metabolic activity of the living cells are realized.

The invention relates to the technical field of single cell mass spectrometry, in particular to a high-throughput single cell mass spectrometry method and device. According to the specific technical scheme, the method comprises the following steps: (1) arranging cells in a quartz capillary tube through a single cell sorting module, and forming liquid drops containing the cells at the outlet end of the quartz capillary tube; (2) observing the number of cells in the liquid drops at an observation window away from the outlet end of the quartz capillary tube through a microscope, and removing the liquid drops by using side-spraying pulse gas if no cells exist or a plurality of cells exist; if only one cell exists, the liquid drops are transferred to the position above the side face opening of the spraying capillary tube and enter the spraying capillary tube; and (3) splitting and extracting the cells in the liquid drops by a spray solvent in the spray capillary tube, and analyzing by a mass spectrometer through an ionization module. The flow cytometry, the single cell recognition and sorting and the micro sample ionization technology are combined, so that high-flux single cell mass spectrometry is realized, and the accuracy of single cell metabolite identification is improved.

This invention discloses a supercritical fluid-based cell lysis ionization and flow cytometry-mass spectrometry detection device. The device includes a supercritical fluid generator, a cell introduction device, a fluid focusing device, and a mass spectrometer detector. The supercritical fluid generator is connected to the fluid focusing device to introduce supercritical fluid. The outlet of the cell introduction device is connected to the fluid focusing device to introduce a cell dispersion of the target cells into the fluid focusing device. The fluid focusing device, driven by the supercritical fluid, focuses and generates droplets containing single-cell samples. The droplets vaporize after passing through the outlet of the fluid focusing device and are then ionized. The mass spectrometer detector is located at the outlet of the fluid focusing device. This invention solves the problem that intact cells cannot be completely ruptured during traditional electrospray ionization, and that metabolite molecules within the cells cannot be completely released to form gaseous ions. The ion clusters generated by single cells enable highly sensitive detection of the transient signals of single-cell metabolites using a mass spectrometer.