Abstract: The present invention provides a reagent and method for detecting a replication-competent lentivirus (RCL) by fluorescence quantitative real-time polymerase chain reaction (PCR). In particular, the present invention provides a primer and probe combination for detecting RCL, and a method for performing detection using said primer and probe; the present invention also provides a reagent kit comprising said primer and probe. The primer and probe combination of the present invention detects RCL with high amplification efficiency and good specificity, and can be used for RCL detection and RCL monitoring of clinical patient peripheral blood samples which may occur during a production process.

Abstract: The present invention provides a BCMA-targeted chimeric antigen receptor (CAR) as well as a preparation method therefor and an application thereof. Specifically, the present invention provides the BCMA-targeted CAR, which comprises a BCMA-targeted scFv, a hinge region, a transmembrane region, and an intracellular signal structure domain. The present invention provides a nucleic acid molecule for coding the CAR and a corresponding expression vector as well as CAR-T cells and application thereof. The CAR of the present invention targets BCMA-positive cells, and can be used for treating BCMA-positive B-cell lymphoma, multiple myeloma and plasma cell leukemia.

Abstract: Provided are a chimeric antigen receptor targeting CD20 antigen and a preparation method thereof. The extracellular antigen binding domain of the chimeric antigen receptor includes an antibody heavy chain variable region shown in SEQ ID NO: 7 or 9 or 33 and an antibody light chain variable region shown in SEQ ID NO: 11 or 13 or 35, and is capable of killing tumor cells.

Abstract: A book placement posture identification method based on an RSSI signal value of RFID, including: step 1, horizontally moving to read the signal of an RFID tag placed in a book by using an RFID device; step 2, classifying triples with the same EPC number as a category to serve as the RSSI signal values of the internal RFID tag of the book obtained at different moments; step 3, preprocessing the data obtained in step 2; step 4, establishing a model to obtain a time-varying rule of the RSSI value of the RFID tag of the book; step 5, sampling data, training a classification model, and judging the placement posture of the book according to a model established according to test data and a classification model; and step 6, vertically moving to read the signal of the RFID tag placed in the book by using the RFID device.

Abstract: An automatic and intelligent book checking and shelving robot based on the RFID technology, including an RFID system used for identifying book information, a controllable lifting device used for checking books, a navigation sensor for providing a locating navigation function and a four-wheel omni-directional mobile platform for driving the equipment to move. The present invention mainly uses the automatic identification technology and the radio frequency phase technology in the RFID technology, and the machine automation technology to realize an automatic and intelligent book checking and shelving function, including an automatic whole-library book checking function and an automatic whole-library book shelving function.

Abstract: A book sorting method based on RSSI signal values of RFID tags, including the following steps: reading book RFID tags placed in books by using an RFID device, wherein each tag signal includes: an EPC number EPC of the book RFID tag, the RSSI value r of the book RFID tag, and the time t of reading the book RFID tag, and three attribute values corresponding to one book corresponding to one time are marked as a record; classifying books with the same EPC number of the tags as a category, obtaining a curve chart of the RSSI values of the category of book RFID tags according to a time sequence, and preprocessing the curve chart; and establishing a model; and obtaining the position sequence of each book RFID tag according to the model so as to sort the books.

Abstract: A book placement posture identification method based on an RSSI signal value of RFID, including: step 1, horizontally moving to read the signal of an RFID tag placed in a book by using an RFID device; step 2, classifying triples with the same EPC number as a category to serve as the RSSI signal values of the internal RFID tag of the book obtained at different moments; step 3, preprocessing the data obtained in step 2; step 4, establishing a model to obtain a time-varying rule of the RSSI value of the RFID tag of the book; step 5, sampling data, training a classification model, and judging the placement posture of the book according to a model established according to test data and a classification model; and step 6, vertically moving to read the signal of the RFID tag placed in the book by using the RFID device.

Abstract: An automatic and intelligent book checking and shelving robot based on the RFID technology, including an RFID system used for identifying book information, a controllable lifting device used for checking books, a navigation sensor for providing a locating navigation function and a four-wheel omni-directional mobile platform for driving the equipment to move. The present invention mainly uses the automatic identification technology and the radio frequency phase technology in the RFID technology, and the machine automation technology to realize an automatic and intelligent book checking and shelving function, including an automatic whole-library book checking function and an automatic whole-library book shelving function.

Abstract: A book sorting method based on RSSI signal values of RFID tags, including the following steps: reading book RFID tags placed in books by using an RFID device, wherein each tag signal includes: an EPC number EPC of the book RFID tag, the RSSI value r of the book RFID tag, and the time t of reading the book RFID tag, and three attribute values corresponding to one book corresponding to one time are marked as a record; classifying books with the same EPC number of the tags as a category, obtaining a curve chart of the RSSI values of the category of book RFID tags according to a time sequence, and preprocessing the curve chart; and establishing a model; and obtaining the position sequence of each book RFID tag according to the model so as to sort the books.

Abstract: A method for treating lung cancer (e.g., non-small cell lung cancer) with an anti-PD-L1 antibody (MEDI4736), alone or in combination with an anti-CTLA4 antibody (Tremelimumab), in a patient identified using a polynucleotide marker of IFNgamma.

Abstract: The disclosure provides methods for treating lung cancer (e.g., non-small cell lung cancer) with an anti-PD-L1 antibody in a patient identified using a polynucleotide or polypeptide marker of the disclosure: CXCL9, KRT8, TRIM29, and/or IFNgamma.

Abstract: Without limitation, this disclosure relates to compositions and methods for detecting and quantifying the expression of insulin receptor isoform A (IR-A) and/or insulin receptor isoform B (IR-B) in a tissue sample. The disclosure also relates to methods of diagnosis and classification based at least in part upon detecting and quantifying the expression of insulin receptor isoform A (IR-A) and/or insulin B (IR-B) in a tissue sample. Methods of treating a subject based upon such a classification are among additional aspects of the disclosure presented herein.

Abstract: Provided are improved methods and compositions for detecting, monitoring and/or treating a CEA-expressing cancer.

Abstract: Without limitation, this disclosure relates to compositions and methods for detecting and quantifying the expression of insulin receptor isoform A (IR-A) and/or insulin receptor isoform B (IR-B) in a tissue sample. The disclosure also relates to methods of diagnosis and classification based at least in part upon detecting and quantifying the expression of insulin receptor isoform A (IR-A) and/or insulin B (IR-B) in a tissue sample. Methods of treating a subject based upon such a classification are among additional aspects of the disclosure presented herein.

Abstract: The invention relates to a rapid, sensitive method to obtain a gene expression profile from a target cell population in a blood sample. The target cells can be circulating tumor cells. Disclosed are methods and kits for obtaining such profiles.