61 results about "Sequenceome" patented technology

Provided are a method for constructing a soluble expression plasmid mutant library, and the use thereof. The method for constructing the soluble expression plasmid mutant library comprises: introducing mutations into a ribosome binding site on a soluble expression plasmid, a sequence composition and length of a region between the ribosome binding site and an initiation codon of a fusion protein to be expressed, and a translation initiation region, so as to obtain a mutant library. By means of the method, plasmid mutants with increased expression levels are obtained, thereby increasing the expression level of a target fusion protein and the final yield of a target polypeptide. The present invention solves the problem of low soluble expression levels of certain polypeptides in Escherichia coli.

Disclosed herein are engineered LSR sequences, compositions, and uses including in genome-editing systems and therapeutic compositions. The LSRs can facilitate nucleic acid recombination at particular attachment sites, using suitable donor sequences. The disclosed LSRs may be used to site-specifically recombine or integrate nucleic acid sequences for a variety of purposes, including treatment of human diseases.

The application provides a nucleic acid sequence and a method for detecting biomolecules based on a self-driven hybrid chain reaction (SHCR), which comprises a priming chain AI, a blocking chain B, a hairpin probe H1, a hairpin probe H2, a hairpin probe H3 and a hairpin probe H4, the priming chain AI comprises an aptamer sequence of a to-be-detected biomolecule and a starting sequence I, the sequence of the starting sequence I is a*‑b*, wherein a* and b* are gene fragments; the 5' end of the hairpin probe H1 is connected with b*, and the 3' end of the hairpin probe H3 is connected with a*. The application further provides a kit for detecting biomolecules based on the SHCR and a method for detecting biomolecules, in particular, a method for detecting a kanamycin residual amount in food. Through ingenious design, when the to-be-detected biomolecule exists, the sequence combination of the above biomolecule can initiate the self-driven hybrid chain reaction, the priming chain can be autonomously supplemented, the self-driven reaction process is reversely activated, thereby a more significant FRET signal is generated, and the detection sensitivity is improved.

The application discloses a sequence construction method and system. The method constructs a switching matrix based on the number of various types of elements in the sequence, establishes a unified constraint system, and obtains a numerical solution of the switching matrix through optimization. Based on the numerical solution, a graph structure is constructed and connectivity is determined to determine whether a complete sequence can be formed; when the connectivity is satisfied, a target sequence that meets the switching relationship and quantity requirements is generated based on the graph structure. The method supports segment-level structure expression, modeling of the head-tail relationship of the augmented matrix, and sub-sequence combination expression, and is suitable for multiple sequence construction tasks. Accordingly, the application also provides a sequence construction system, which includes a matrix modeling module, a constraint construction module, a solving module, a connectivity determination module, and a sequence generation module.

The invention relates to the technical field of nucleic acid detection, and particularly provides a CRISPR-Cas12a cascade signal amplification system and application thereof. The system comprises a first-stage sensing unit, a second-stage sensing unit and a third-stage sensing unit, wherein the first-stage sensing unit is configured to recognize a target to be detected and activate the trans-cleavage activity of first-stage Cas12a protein; an engineered scaffold RNA composed of an RNA sequence and a DNA sequence is cut, the obtained RNA sequence serves as an activator of a second-stage Cas12a protein, and the second-stage Cas12a protein obtains trans-cleavage activity, so that a fluorescence report probe is cut, and a signal is output. According to the system, an activation event of a first Cas12a is converted into an exponential signal output unit of a second Cas12a, and a cascade amplification network is formed. According to the design, background signal leakage is eradicated from a physical mechanism, and the detection sensitivity is remarkably improved. The detection method provided by the invention is low in cost, high in sensitivity and high in reaction speed.

The application provides a data expansion method and device, the method comprises the following steps: obtaining N groups of real source data, each group of real source data contains a data sequence; dividing the data sequences in the N groups of real source data into a plurality of sequence combinations, each sequence combination is a calculation group; performing weighted calculation on each calculation group according to the sequence number requirement of weighted average calculation, to obtain the weight value allocated to each calculation group; performing weighted average on the data sequences in each calculation group according to the weight value allocated to each calculation group, to obtain the data expansion sequence of each calculation group. In the data expansion method, the calculation results of all calculation groups are not all considered all data sequences, therefore, in the case that some part of data sequences are abnormal, more calculation results are not affected because they do not involve abnormal data sequences, which greatly avoids the influence of abnormal sequences in small data on the final data expansion sequence.

Split-pegRNA recorder reagents and methods are provided that provide specific molecular interactions within cells induce precise genome editing that inserts an event-specific barcode sequence into the predetermined genomic locus of DNA Tape. The split pegRNAs include (a) a crRNA component, including in 5′ to 3′ order (i) a spacer sequence for a genomic locus of interest; (ii) a crRNA repeat sequence necessary for binding to a CRISPR-Cas protein; and (iii) a first RNA extension; and (b) a petracrRNA component, including in 5′ to 3′ order (i) a second RNA extension; (ii) a petracrRNA antirepeat sequence necessary for binding to a CRISPR-Cas protein; (iii) a gRNA scaffold; wherein the crRNA component and the petracrRNA component are not covalently bound to each other.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a probabilistic shaping configuration including a configuration for peeling-based arithmetic coding. The UE may transmit an uplink communication in accordance with the probabilistic shaping configuration, wherein the configuration for peeling-based arithmetic coding includes a configuration for determining a sequence composition during a composition element selection stage and a configuration for generating a sequence during a sequence generation stage, wherein the configuration for generating the sequence during the sequence generation stage includes a configuration for generating the sequence in accordance with the sequence composition determined during the composition element selection stage. Numerous other aspects are described.

The present invention refers to a sgRNA molecule comprising a targeting domain for specifically targeting a SNP in the BEST1 coding region of a pathologic allele, wherein said targeting domain consists of a sequence selected from the group consisting of SEQ ID NO: 3-8, 41-44, 14-20, 50-52 and 54-55, or a sgRNA molecule combination of specifically defined first and second sgRNA molecules, wherein the first and the second sgRNA molecule each comprise a targeting domain for specifically targeting a SNP in the BEST1 gene coding or non-coding region of a pathologic allele. The present invention also refers to a nucleic acid comprising a sequence that encodes the sgRNA molecule or sgRNA molecule combination and to nucleic acid combinations. The present invention further relates to a recombinant adenovirus-associated virus (AAV) comprising the nucleic acids according to the present invention or recombinant AAV combinations. The sgRNA molecule, the nucleic acid, the recombinant AAV and combinations are useful tools for editing of the target domain in the bestrophin-1 (BEST1) gene to restore BEST1 channel function by e.g. CRISPR / Cas9)-based gene editing. The present invention further relates to the sgRNA molecule, the sgRNA molecule combination, the nucleic acid, the nucleic acid combination, the recombinant AAV and the recombinant AAV combination for use in a method for treatment of the human or animal body by surgery or therapy and for use in method of treating or preventing BEST1-related retinopathies, in particular autosomal dominant BEST1-related retinopathies.

Methods, kits, and oligonucleotides used in the detection of coronavirus, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are disclosed. In some aspects, the oligonucleotides are primers or probes used in the described methods or kits. The nucleotide sequence of the oligonucleotide consists of 300 or less, 150 or less, or 40 or less continuous nucleotides from a nucleotide sequence selected from the group consisting of: SEQ ID NO:1, SEQ ID NO:2, SEQ ID NO:3, SEQ ID NO:4, and SEQ ID NO: 5, or is a variant thereof. In some embodiments, the oligonucleotide is modified with an internal spacer or a detectable label. For example, the 5′ terminus is labeled with a fluorophore and the 3′ terminus is complexed to a quencher of fluorescence of said fluorophore. In some embodiments, the nucleotide sequence of the oligonucleotide further comprises a universal tail sequence.

This invention relates to the field of biotechnology, specifically disclosing a Decacovirus nucleic acid detection composition based on RT-RPA and CRISPR / Cas13a technologies and its applications. This invention successfully obtains a novel method for Decacovirus nucleic acid detection based on RT-RPA and CRISPR / Cas13a technologies. The nucleic acid detection composition includes: an RT-RPA primer pair and crRNA; the RT-RPA primer pair consists of two RT-RPA primers, with sequences shown in SEQ ID NO.1 and SEQ ID NO.2; the crRNA sequence consists of an anchoring sequence for binding to the Cas13a protein and a guide sequence targeting the Decacovirus gene target sequence, with the guide sequence shown in positions 23-50 of SEQ ID NO.3. Using this composition for Decacovirus detection offers advantages such as high specificity, high sensitivity, rapid and convenient operation, solving the problem of inconvenience in current field monitoring of the virus's prevalence.

The invention relates to the technical field of agriculture, in particular to an efficient ABE base editing tool based on Cas12i3 and application of the efficient ABE base editing tool. The Cas12i3-based efficient ABE base editing tool provided by the invention comprises a protein expression cassette and an RNA (Ribonucleic Acid) expression cassette, the protein expression cassette comprises a promoter, a 2 * BP NLS nuclear localization signal fragment, a 2 * adenine deaminase TadA8e, a connecting peptide, a Cas12i3 notch enzyme fragment and a terminator, the RNA expression cassette comprises a promoter, a crRNA sequence and a terminator; wherein the crRNA sequence is composed of a DR sequence and a target specific spacer sequence. The tool realizes efficient and specific single base substitution of A-to-G in a rice genome by utilizing the targeted binding characteristic of Cas12i3 and the efficient deamination activity of 2 * TadA8e, has the advantages of high editing efficiency, low off-target rate, wide application range and the like, provides an efficient and accurate technical means for plant functional genome research and molecular breeding, and has a wide application prospect. The creation of excellent rice varieties can be accelerated.

The application provides a blood stream infection related septic shock multi-modal fusion prediction method and system, belonging to the field of intelligent medical treatment, and solving the problems of long time consumption, insufficient sensitivity and insufficient multi-modal information analysis capability in blood stream infection related septic shock. The method comprises: acquiring multi-modal clinical data of a target patient suspected of blood stream infection within a preset observation time window to obtain a multi-modal multi-scale feature sequence formed by combining each modality spatiotemporal feature vector sequence; inputting the multi-modal multi-scale feature sequence into a time sequence encoding network based on a multi-head attention mechanism to obtain an aligned multi-modal time sequence representation sequence; setting a learnable modality weight parameter for each modality, and updating the learnable modality weight parameter, the encoder and the time sequence encoding network through a task loss function according to the label of whether blood stream infection related septic shock occurs or not in the training process to obtain a multi-modal fusion model for prediction.

A siRNA characterised by having a sequence selected from the group comprised of: - SEQ ID NO. 1 : 5 ' CUCUUUCCCUUGAAUAAGC 3 '; - SEQ ID NO. 2 : 5 ' UGAUUCCCAAAGCUCACAG 3 '; and - a sequence including at least 16 contiguous nucleotides differing by no more than 3 nucleotides from SEQ ID No. 1 or SEQ ID No. 2, to silence TRAPl-low SEQ ID N°3. The use of the 5 'UTR SEQ ID N°4 region of the TRAPl-low transcript SEQ ID N°3 or a portion of that 5 'UTR region selected from the group comprised of: - the SEQ ID No. 6 portion of said 5 ' UTR region comprising nucleotide positions 1 through 644; - a portion of said region 5 ' UTR comprising the portion of SEQ ID No. 6 extended by a predetermined number of nucleotide positions beyond nucleotide position 644 along said region 5 'UTR.

The present application relates to the technical field of microorganism detection, and in particular to a sequence combination for detecting total amount of bacteria based on a CRISPR / Cas12a system and application, the sequence combination comprising at least one of crRNAs shown in SEQ ID NO: 1-3.The present application also provides a corresponding detection method, which realizes the detection of total amount of bacteria based on the CRISPR / Cas12a system for the first time, and provides a good technical means for the quantitative detection of total amount of bacteria.The detection method based on the CRISPR / Cas12a system provided by the present application is completed under isothermal conditions, does not require professional instruments and equipment, can be quickly and simply detected, and has good sensitivity.

The invention relates to an HER2 protein detection sequence group based on a tetrahedral nucleic acid framework and catalytic hairpin assembly, which comprises tetrahedral skeleton sequences S1, S2, S3 and S4, a cholesterol modified sequence Chol, an aptamer chain sequence L and hairpin probes H1, H2 and H3, and the 5'end of the tetrahedral skeleton sequence S1 extends to form an HER2 aptamer sequence HApt; the aptamer chain sequence L and the HER2 aptamer sequence HApt part are complementarily paired; the 3'ends of the tetrahedral skeleton sequences S2, S3 and S4 extend to form connecting sequences used for being combined with a cholesterol modification sequence Chol. By adopting the technical scheme, the invention provides the HER2 protein detection sequence group based on the tetrahedral nucleic acid framework and catalytic hairpin assembly, the kit and application thereof, and an HER2 in-situ detection technology with high stability, excellent membrane anchoring capability and signal amplification function.

Embodiments of the present application disclose a person care method and device, computer equipment and a storage medium. The method comprises: obtaining log data of each door magnetic sensor arranged at a residence of a monitored person to obtain original sequence group data; performing adaptive fuzzy clustering on the original sequence group data to obtain a plurality of sequence group sets; determining a clustering center of each sequence group set and a maximum distance of the clustering center, and setting the maximum distance of the clustering center as a time deviation threshold; obtaining a monitoring signal collected by each door magnetic sensor in real time; determining whether a distance between current monitoring data and any sequence group set is within the corresponding time deviation threshold; if yes, determining that the current monitoring data are matched with the plurality of sequence group sets successfully; determining a behavior category of the monitored person according to the matched sequence group set; and if not, generating a remote reminding information. The method of the embodiments of the present application can improve the safety care efficiency of the monitored person.

The invention discloses a sequence combination, a kit and a method for co-detecting a new bunyavirus and an anaplasma phagocytophilum based on RPA-CRISPR, and application of the sequence combination, the kit and the method. Comprising a first RPA primer pair and a first crRNA which are designed according to an SFTSV L segment conserved region, a second RPA primer pair and a second crRNA which are designed according to an AP 16S rRNA gene conserved region, an optimized universal T7 auxiliary primer, a kit prepared by using the sequence combination, and a detection method for detecting the new bunyavirus and the anaplasma phagocytophilum by using the kit. According to the detection method disclosed by the invention, an RPA amplification method and a CRISPR detection method are combined to detect the new bunyavirus and the anaplasma phagocytophilum at the same time, and the bottlenecks in co-amplification efficiency and orthogonal detection sensitivity in the prior art can be effectively overcome.

The embodiment of the application belongs to the technical field of digital medical treatment, is applied to the scene of lncRNA and protein interaction prediction, and relates to a lncRNA-protein interaction prediction method and related equipment thereof, which comprises the following steps: constructing a first association graph according to lncRNA sequences; constructing a second association graph according to protein sequences; obtaining target matrices corresponding to the first association graph and the second association graph respectively; obtaining group feature vectors based on the target matrices corresponding to the first association graph and the second association graph respectively; and predicting whether there is interaction between lncRNA sequences and protein sequences in each sequence group according to the group feature vectors. The lncRNA sequences and the protein sequences are respectively trained by using a graph autoencoder training mode, and then a predictor is trained in combination with the group feature vectors, so that the structural information of the lncRNA sequences and the protein sequences and the interaction information between the lncRNA sequences and the protein sequences are fully utilized, the effectiveness and synergy of known information utilization are improved, and the prediction accuracy is improved.

This invention relates to a HER2 protein detection sequence set based on a tetrahedral nucleic acid framework and catalytic hairpin assembly, comprising tetrahedral backbone sequences S1, S2, S3, and S4, a cholesterol-modified sequence Chol, an aptamer chain sequence L, and hairpin probes H1, H2, and H3. The 5' end of the tetrahedral backbone sequence S1 extends to the HER2 aptamer sequence HApt; the aptamer chain sequence L is partially complementary to the HER2 aptamer sequence HApt; and the 3' ends of the tetrahedral backbone sequences S2, S3, and S4 extend to linker sequences for binding the cholesterol-modified sequence Chol. Using the above technical solution, this invention provides a HER2 protein detection sequence set, kit, and its application based on a tetrahedral nucleic acid framework and catalytic hairpin assembly, exhibiting high stability, excellent membrane anchoring ability, and signal amplification capabilities, thus providing an in-situ HER2 detection technology.

A method, system, and computer program product for empirically identifying a dynamical decoupling sequence for error suppression on a quantum computer. A training quantum circuit, with an equivalent circuit structure to the target quantum circuit, is selected to identify the optimal dynamical decoupling sequence. A population of dynamical decoupling sequences represented as sequences in a genetic algorithm is generated. Offsprings of a selected set of sequences (“parents”) from the population are then generated via reproduction and mutation forming candidate dynamical decoupling sequences, which refer to those dynamical decoupling sequences that may be selected to be used as a “parent” in a subsequent iteration for generating offsprings or selected as the dynamical decoupling sequence to run on the target quantum circuit. One or more dynamical decoupling sequences are selected from the candidate dynamical decoupling sequences based on their fitness with the objective function.

The present invention relates to an anti-coronavirus antibody and its use thereof, particularly for the prevention or treatment of an infection caused by a coronavirus, especially by porcine epidemic diarrhea virus (PEDV). The anti-coronavirus antibody of the present invention comprises or consists of a first heavy chain variable domain comprising a CDR1 sequence comprising or consisting of FVAMA (SEQ ID NO: 1), a CDR2 sequence comprising or consisting of RISSTGTVTNYADSVKG (SEQ ID NO: 2) or a sequence having at least 90% identity with SEQ ID NO: 2, a CDR3 sequence comprising or consisting of VPGNLLP (SEQ ID NO: 3) or a sequence having at least 90% identity with SEQ ID NO: 3.

This invention belongs to the field of biomedicine, specifically relating to siRNA that inhibits MITF gene expression and its applications. The siRNA comprises a sense strand and an antisense strand, which are at least partially anticomplementary to form a double-stranded region. The sense strand or antisense strand consists of a 19-nucleotide blunt-ended complementary nucleotide sequence, or a 19-nucleotide sense strand and a 21-nucleotide antisense strand with overhanging ends. The siRNA of this invention, bound to C16, provides advantages for transdermal delivery, including high penetration, targeting, rapid uptake, and low immunogenicity. By interfering with MITF mRNA expression, melanin production can be reduced at its source.

This invention belongs to the field of biotechnology and provides an SSR primer set for identifying positively induced mutants in feed oats, having the sequence composition shown in SEQ ID NO:1 and SEQ ID NO:2 in the sequence listing. This invention also provides a method for identifying positively induced mutants in feed oats, and a method for cultivating positively induced mutants in feed oats. Using the SSR primer set provided by this invention, a large number of non-mutated plants can be effectively eliminated in the early M2 generation, greatly saving the ineffective labor of traditional methods involving multiple generations of planting and identification of large numbers of non-mutated plants, thus saving manpower, material resources, and financial resources.

The invention discloses an angiotensin converting enzyme inhibitory peptide screening method and system based on machine learning, and belongs to the technical field of bioinformatics. The angiotensin converting enzyme inhibitory peptide screening method based on machine learning comprises the following steps: step 1, constructing a peptide sequence data set, wherein the data set comprises known ACE inhibitory peptides and non-inhibitory peptides; 2, extracting multi-dimensional features from the peptide sequence, wherein the multi-dimensional features comprise physicochemical property features and sequence composition features; 3, training and optimizing a machine learning model by using the multi-dimensional features to obtain an ACE inhibitory peptide prediction model; and 4, performing activity prediction and virtual screening on a to-be-screened peptide sequence by using the ACE inhibitory peptide prediction model to obtain candidate ACE inhibitory peptides. According to the method, the multi-dimensional physicochemical and sequence characteristics of the peptide sequence are extracted, and the XGBoost machine learning prediction model is constructed and optimized, so that high-throughput virtual screening of 2-5 peptides can be realized, and the high-activity ultra-short ACE inhibitory peptide is efficiently explored.

The application relates to a KPIs sequence classification method and a monitoring method thereof, which comprises the following steps: measuring the similarity of each KPIs sequence in a KPIs sequence set, and clustering and grouping each KPIs sequence in the KPIs sequence set according to the similarity measurement result; selecting a plurality of KPIs sequences in each group to construct a key KPIs sequence subset; intercepting a subsequence of a certain length from each KPIs sequence in the key KPIs sequence subset to form a candidate subsequence set; extracting X representative subsequences from different KPIs sequences in the candidate subsequence set and marking the X representative subsequences as X categories; X is the number of the representative subsequences; measuring the similarity of each KPIs sequence in the KPIs sequence set and the representative subsequences, and classifying each KPIs sequence in the KPIs sequence set into one of the X categories according to the similarity measurement result, so as to newly cluster and group each KPIs sequence in the KPIs sequence set. A clustering and grouping framework combining roughness and fineness is given, the problem of KPIs sequence number explosion and high dimension is solved, and the problem of insufficient computing power and too long time is avoided.

The application belongs to the field of immunology and relates to a single-domain antibody against FOLR1, a derivative protein thereof and application. The single-domain antibody is composed of a heavy chain, the heavy chain comprising a heavy chain CDR1, a heavy chain CDR2 and a heavy chain CDR3; the amino acid sequences of the heavy chain CDR1, the heavy chain CDR2 and the heavy chain CDR3 are sequence combinations of (1)-(7) or sequences with high homology. The application uses biological genetic engineering technology to screen specific single-domain antibodies against FOLR1, the antibodies have obvious preliminary affinity, can block the release of cytokines by specific cells, have good binding activity through prokaryotic expression and have certain drugability.

The invention provides a sequence combination for identifying cattle-derived components, buffalo-derived components and yak-derived components based on RPA-CRISPR / Cas12a and application of the sequence combination, and belongs to the technical field of biological detection.The sequence combination for rapidly detecting the cattle-derived components, the yak-derived components and the buffalo-derived components based on RPA-CRISPR / Cas12a comprises an RPA primer pair for detecting the cattle-derived components, the yak-derived components and the buffalo-derived components and a specific crRNA sequence, the invention also discloses a kit prepared by using the sequence combination and a detection method for detecting cattle, yak and buffalo-derived components in food by using the kit. According to the detection method disclosed by the invention, an RPA amplification method is combined with a CRISPR / Cas12a detection method, and real-time detection is carried out by detecting a fluorescence signal; the detection method disclosed by the invention is simple and rapid, has good specificity and sensitivity, can be used for detection only by simple constant-temperature heating, and has the advantage of rapidly detecting cattle, yak and buffalo derived components on site.

The invention discloses gene modification carrying an immunological enhancement element and application of the gene modification, and relates to the technical field of biological medicine and gene engineering. B, at least one coding nucleic acid sequence IE of an immunological enhancement element, wherein the immunological enhancement element is used for enhancing antigen presentation, immunological co-stimulation signal transmission or positive regulation of a local immune microenvironment; c, at least one of a signal peptide segment SP and a membrane anchoring localization domain TM; the d expression regulation unit comprises a promoter Pr for driving the expression of Ag and IE and a transcription termination signal pA; the e-site strategy related sequence organization comprises a homologous segment left side HS-L and a homologous segment right side HS-R; wherein the Ag and the IE are assembled in the same expression framework, the IE is located at one of the upstream and the downstream of the Ag, antigen presentation and costimulatory signals are synchronous and stable, the immune response intensity and durability are improved, and inter-individual and inter-batch fluctuation is reduced.