General Electric Company

Purdue Research Foundation

University of Notre Dame Du Lac

Shanghai Unicar-therapy Bio-medicine Technology Co., Ltd

University of Michigan

Cisco Technology, Inc.

Zhou Yu

Jean-Baptiste Thibault

Bruno Kristiaan Bernard De Man

Charles Addison Bouman

Ken David Sauer

Lei Yu

Debashish Pal

Liqing Kang

Jiang Hsieh

Lin Fu

Jeffrey Allen Fessler

Brian Edward Nett

Kai Zeng

Wei Qi

Sathish Ramani

Guangzhi Cao

Somesh Srivastava

Jean-Baptiste Daniel Marie Thibault

Gaowu Lin

Yi Bin Wang

Samit Kumar Basu

Jed Douglas Pack

Bruno De Man

Jang Hwan Cho

Evgeny Drapkin

Donghwan Kim

Basel Taha

Yongfeng Liu

Nan Xu

Madison Gray McGaffin

Ruikai Zhang

Jiao Wang

Hung Nien

Basel Hasan Taha

Provided are a human PD-1 knockdown siRNA, a recombinant expression CAR-T vector, a preparation method thereof, and an application of the same. A PD-1 knockdown siRNA expression cassette and an siRNA expression product thereof can be applied to a CAR-T therapy of multiple myeloma (MM) for eliminating or alleviating a tumor immune escape mechanism, and in the suppression of an immune escape mechanism in a CAR-T therapy of a tumor, such as pancreatic cancer, brain glioma, and myeloma.

siRNA knocking down human PD-1 and recombinant expression CAR-T vector and their construction methods and applications

An OCTS-based CAR-T vector for treating pancreatic cancer and malignant mesothelioma includes lentiviral skeleton plasmid, human EF1&#x3b1; promoter (SEQ ID NO: 14), OCTS chimeric receptor structural domain, and PDL1 single-chain antibody; the OCTS chimeric receptor structural domain consists of CD8 leader chimeric receptor signal peptide (SEQ ID NO: 15), PDL1 single-chain antibody light chain VL (SEQ ID NO: 16), PDL1 single-chain antibody heavy chain VH (SEQ ID NO: 17), mesothelin single-chain antibody light chain VL (SEQ ID NO: 18), mesothelin single-chain antibody heavy chain VH (SEQ ID NO: 19), antibody Inner-Linker (SEQ ID NO: 20), single-chain antibody Inter-Linker (SEQ ID NO: 21), CD8 Hinge chimeric receptor linker (SEQ ID NO: 22), CD8 Transmembrane chimeric receptor transmembrane domain (SEQ ID NO: 23), TCR chimeric receptor T cell activation domain (SEQ ID NO: 26) and chimeric receptor co-stimulator domain.

OCTS technology-based pancreatic cancer and malignant mesothelioma CAR-T therapeutic vector, construction method therefor, and use thereof

An IL6R block CAR-T transgenic vector for alleviating CRS includes: AmpR sequence containing ampicillin resistance gene (SEQ ID NO: 1); prokaryotic replicon pUC Ori sequence (SEQ ID NO: 2); virus replicon SV40 Ori sequence (SEQ ID NO: 3); eWPRE enhanced posttranscriptional regulatory element of hepatitis B virus (SEQ ID NO: 11); human EF1a promoter (SEQ ID NO: 12); lentiviral packaging cis-elements for lentiviral packaging; humanized single-chain antibody fragment IL6RscFv1 (SEQ ID NO: 21), IL6RscFv2 (SEQ ID NO: 22), or IL6RscFv3 (SEQ ID NO: 23) of human IL6R; IRES ribosome binding sequence (SEQ ID NO: 25); IL6 signal peptide (SEQ ID NO: 26); human antibody Fc segment (SEQ ID NO: 27); and chimeric antigen receptors of the second or third generation CAR for integrating recognition, transmission and initiation. A preparation method of the IL6R block CAR-T transgenic vector and an application thereof in a preparation of drugs for alleviating CRS.

IL6R block CAR-T transgenic vector for alleviating CRS, preparation method thereof

An OCTS-based CAR-T vector for treating malignant glioma includes lentiviral skeleton plasmid, human EF1&#x3b1; promoter (SEQ ID NO.14), OCTS chimeric receptor structural domain, and PDL1 single-chain antibody; the OCTS chimeric receptor structural domain consists of CD8 leader chimeric receptor signal peptide (SEQ ID NO.15), PDL1 single-chain antibody light chain VL (SEQ ID NO.16), PDL1 single-chain antibody heavy chain VH (SEQ ID NO.17), EGFRvIII single-chain antibody light chain VL (SEQ ID NO.18), EGFRvIII single-chain antibody heavy chain VH (SEQ ID NO.19), antibody Inner-Linker (SEQ ID NO.20), single-chain antibody Inter-Linker (SEQ ID NO.21), CD8 Hinge chimeric receptor linker (SEQ ID NO.22), CD8 Transmembrane chimeric receptor transmembrane domain (SEQ ID NO.23), TCR chimeric receptor T cell activation domain (SEQ ID NO.26) and chimeric receptor co-stimulator domain.

Malignant glioma CAR-T therapeutic vector based on OCTS technology, and construction method and application thereof

A PDL1 block CAR-T transgenic vector for suppressing immune escape includes: AmpR sequence containing ampicillin resistance gene (SEQ ID NO: 1); prokaryotic replicon pUC Ori sequence (SEQ ID NO: 2); virus replicon SV40 Ori sequence (SEQ ID NO: 3); eWPRE enhanced posttranscriptional regulatory element of hepatitis B virus (SEQ ID NO: 11); human EF1a promoter (SEQ ID NO: 12); lentiviral packaging cis-elements for lentiviral packaging; humanized single-chain antibody fragment PDL1scFv1 (SEQ ID NO: 21), PDL1scFv2 (SEQ ID NO: 22), or PDL1scFv3 (SEQ ID NO: 23) of human PDL1; IRES ribosome binding sequence (SEQ ID NO: 25); IL6 signal peptide (SEQ ID NO: 26); human antibody Fc segment (SEQ ID NO: 27); and chimeric antigen receptors of the second or third generation CAR for integrating recognition, transmission and initiation. A preparation method of the PDL1 block CAR-T transgenic vector and an application thereof in a preparation of anti-immune escape drugs.

PDL1 block CAR-T transgenic vector for suppressing immune escape, preparation method thereof, and application of the same

Provided are a siRNA of the human interleukin 6, a recombinant expression CAR-T vector, and a construction method and a use thereof. The siRNA can be used in the treatment of acute B-cell lymphocytic leukemia with CAR19-T for eliminating or alleviating the symptoms of cytokine release syndrome (CRS), and can also be used for alleviating the CRS symptoms caused by treating tumours with CAR-T and even can also be used for alleviating CRS caused by other types of treatment.

SiRNA of human IL-6 and recombinant expression CAR-T vector and their construction methods and applications

The embodiments disclosed herein provide a computing device that includes an upstream buffer and downstream data processing circuit that establish a data processing path where the data stored by upstream buffer is received and processed by the downstream data processing circuit. Using a buffer utilization characteristic of the upstream buffer such as its current availability (e.g., the buffer is 50% full) or an input data rate, the computing device adjusts the clock signal used to drive the downstream data processing circuit. For example, if the utilization of the upstream buffer is low, the number of clock edges in the clock signal may be reduced thereby reducing power consumption of the computing device. However, as the utilization of the buffer begins to increase, the computing device may increase the number of clock edges to prevent a buffer overflow.

Dynamically adjusting data processing speed based on buffer utilization

A framework for an iterative reconstruction algorithm is described which combines two or more of an ordered subset method, a preconditioner method, and a nested loop method. In one type of implementation a nested loop (NL) structure is employed where the inner loop sub-problems are solved using ordered subset (OS) methods. The inner loop may be solved using OS and a preconditioner method. In other implementations, the inner loop problems are created by augmented Lagrangian methods and then solved using OS method.

Accelerated iterative reconstruction

The use of the channelized preconditioners in iterative reconstruction is disclosed. In certain embodiments, different channels correspond to different frequency sub-bands and the output of the different channels can be combined to update an image estimate used in the iterative reconstruction process. While individual channels may be relatively simple, the combined channels can represent complex spatial variant operations. The use of channelized preconditioners allows empirical adjustment of individual channels.

Iterative reconstruction in image formation

A method for reconstructing an image of an object that includes a plurality of image elements. The method includes accessing image data associated with a plurality of image elements, and reconstructing an image of the object by optimizing an objective function, where the objective function is optimized by iteratively solving a nested sequence of approximate optimization problems. The algorithm is composed of nested iterative loops, in which an inner loop iteratively optimizes an objective function approximating the outer loop objective function, and an outer loop that utilizes the solution of the inner loop to optimize the original objective function.

Method and apparatus for iterative reconstruction

A method for reconstructing an image of an object includes acquiring a set of measured projection data, reconstructing the measured projection data using a first algorithm to generate a first reconstructed image dataset, reconstructing the measured projection data using a second algorithm to generate a second reconstructed image dataset, the second algorithm being utilized to improve the temporal resolution of the second reconstructed image dataset, and generating a final image dataset using both the first and second image datasets.

Method and apparatus for reducing noise-related imaging artifacts

A method is provided for iteratively reconstructing an image of an object. The method includes accessing measurement data associated with the image, and using a simultaneous algorithm to reconstruct the image. Using the simultaneous algorithm to reconstruct the image includes determining a scaling factor that is voxel-dependent, and applying the voxel-dependent scaling factor to a gradient of an objective function to reconstruct the image.

A method is provided for reconstructing an image of an object that includes image elements. The method includes accessing measurement data associated with the image elements, introducing an auxiliary variable to transform an original problem of reconstructing the image to a constrained optimization problem, and solving the constrained optimization problem using a method of multipliers to create a sequence of sub-problems and solve the sequence of sub-problems. Solving the sequence of sub-problems includes reconstructing the image by optimizing a first objective function. The first objective function is optimized by iteratively solving a nested sequence of approximate optimization problems. An inner loop iteratively optimizes a second objective function approximating the first objective function. An outer loop utilizes the solution of the second objective function to optimize the first objective function.

A system and method include acquisition of a set of image data corresponding to a time period of data acquisition, the set of image data corresponding to a plurality of voxels, wherein each of the plurality of voxels corresponds to a distinct acquisition time within the time period of data acquisition. The system and method further include the modeling of the plurality of voxels as a function of time based on a plurality of kinetic parameters associated therewith and reconstruction of an image from the set of image data based on the modeled plurality of voxels.

System and method of iterative image reconstruction for computed tomography

A tomographic system includes a gantry having an opening for receiving an object to be scanned, a radiation source, a detector positioned to receive radiation from the source that passes through the object, and a computer. The computer is programmed to acquire a plurality of projection datasets of the object, define a temporal subset of projection datasets from the plurality of projection datasets, reconstruct a working image of the object using the plurality of projection datasets, identify a region of motion in the working image, and minimize motion artifacts in the region of motion in the working image using the temporal subset of projection datasets.

Growing community of inventors

Waukesha, WI, United States of America

Zhou Yu