A photon-mediated technique for introducing biological materials into cells and/or cellular components. The technique may be used to introduce nucleic acids, such as DNA and RNA, proteins or other biological materials into mammalian cells (as well as into other animal and plant cells), which materials may then flow into the nuclei of the cells. The technique uses picosecond or femtosecond light pulses propagating in the UV, visible and near infrared wavelength regions with powers on the order of 1Ã10 W/cm. In practice, the desired biological materials are coated on the end of the inner core of a single mode fiber or the ring core of a fiber in a fiber array. Each fiber is sized to correspond to one cell, with the core size ranging from 2 to 10, and the cladding ranging from 10 to 30. The laser pulse travels through a fiber core which is coated with the materials and ablates a portion of a targeted cell or cellular component membrane. In addition, as the laser pulse exits the fiber, it imparts energy and momentum to the materials applied to the end of the fiber.
Method For Determining If A Tissue Is A Malignant Tumor Tissue, A Benign Tumor Tissue, Or A Normal Or Benign Tissue Using Raman Spectroscopy
Robert R. Alfano - Bronx NY Cheng H. Liu - Flushing NY Wenling S. Glassman - Bronx NY
International Classification:
A61B 600
US Classification:
128664
Abstract:
A method for determining if a tissue is a malignant tumor tissue, a benign tumor tissue, or a normal or benign tissue. The present method is based on the discovery that, when irradiated with a beam of infrared, monochromatic light, malignant tumor tissue, benign tumor tissue, and normal or benign tissue produce distinguishable Raman spectra. For human breast tissue, some salient differences in the respective Raman spectra are the presence of four Raman bands at a Raman shift of about 1078, 1300, 1445, and 1651 cm. sup. -1 for normal or benign tissue, the presence of three Raman bands at a Raman shift of about 1240, 1445, and 1659 cm. sup. -1 for benign tumor tissue, and the presence of two Raman bands at a Raman shift of about 1445 and 1651 cm. sup. -1 for malignant tumor tissue. In addition, it was discovered that for human breast tissue the ratio of intensities of the Raman bands at a Raman shift of about 1445 and 1659 cm. sup.
Method For Distinguishing Between Calcified Atherosclerotic Tissue And Fibrous Atherosclerotic Tissue Or Normal Cardiovascular Tissue Using Raman Spectroscopy
Robert R. Alfano - Bronx NY Cheng H. Liu - Flushing NY
International Classification:
A61B 600
US Classification:
128664
Abstract:
A method for distinguishing between calcified atherosclerotic tissue and either fibrous atherosclerotic tissue or normal cardiovascular tissue. The present method is based on the discovery that, when irradiated with a beam of monochromatic infrared light, calcified atherosclerotic human aortic tissue produces a Fourier Transform Raman spectrum which is distinguishable from analagous spectra obtained from fibrous atherosclerotic human aortic tissue and normal human aortic tissue. Some salient differences in the respective Raman spectra are the presence of five Raman bands at Raman shifts of 957, 1071, 1262-1300, 1445, and 1659 cm. sup. -1 (. +-. 4 cm. sup. -1 for all shifts) for the calcified tissue as compared to three Raman bands at Raman shifts of 1247-1270, 1453 and 1659 cm. sup. -1 (. +-. 4 cm. sup. -1 for all shifts) for the fibrous tissue and three Raman bands at Raman shifts of 1247-1270, 1449 and 1651 cm. sup. -1 (. +-. 4 cm. sup. -1 for all shifts) for the normal tissue.
Method And Apparatus For Evaluating The Composition Of An Oil Sample
Robert R. Alfano - Bronx NY Cheng H. Liu - Flushing NY
Assignee:
The Research Foundation of City College of New York
International Classification:
G01N 2164
US Classification:
250301
Abstract:
A method and apparatus for evaluating the composition of an oil sample. The method and apparatus are premised on the discovery that spectral differences can be observed in the luminescence, excitation, light scattering and absorption spectra in the near UV, visible and near IR regions for various crude oil components, such as asphaltenes, deasphalted crude oil and organic solid residues. Accordingly, in one preferred embodiment the method comprises illuminating an oil sample with light of a suitable excitation wavelength, measuring the resultant fluorescence therefrom and comparing the resultant fluorescence to appropriate standards derived from known components of crude oil.
Technique For Determining Whether A Cell Is Malignant As Opposed To Non-Malignant Using Extrinsic Fluorescence Spectroscopy
Robert R. Alfano - Bronx NY Cheng H. Liu - Flushing NY Wei L. Sha - New York NY Yury Budansky - Oakland NJ
International Classification:
G01N 2164 G01N 3352
US Classification:
436 63
Abstract:
A technique for determining whether a cell is malignant as opposed to non-malignant using extrinsic fluorescence spectroscopy. The technique is premised on the principle that certain fluorescent dyes preferentially stain malignant cells as opposed to non-malignant cells. Accordingly, by exposing a cell to the fluorescent dye, irradiating the cell with light of such a wavelength as to cause the dye to fluoresce, measuring the intensity of fluorescence at a wavelength indicative of fluorescence of the dye, and comparing the fluorescence intensity to standards obtained from malignant cells and non-malignant cells, it is possible for one to accurately classify the cell as being either malignant or non-malignant. The present invention also relates to an automated system which applies the principles of the aforementioned technique to depict the spatial distribution of cells within an area of a Pap smear-type sample and to characterize each of the cells as being malignant or non-malignant.
T Cell Receptor-Like Antibody Agents Specific For Ebv Latent Membrane Protein 2A Peptide Presented By Human Hla
- New York NY, US - Emeryville CA, US Andres Lopez-Albaitero - New York NY, US Cheng Liu - Emeryville CA, US Su Yan - State College PA, US Jingyi Xiang - Walnut Creek CA, US Hong Liu - El Sobrante CA, US
International Classification:
C07K 16/46 G01N 33/68 C07K 16/28 C07K 16/08
Abstract:
Described herein are antibodies, fragments thereof and multi-specific binding agents that bind an Epstein-Barr virus (EBV) latent membrane protein 2 (LMP2) peptide presented by HLA class I molecules, in particular, HLA-A02. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by expression of an EBV-LMP2 peptide presented by HLA-A02, in particular, Burkit's lymphoma, Hodgkin's lymphoma and nasopharyngeal carcinoma.
T Cell Receptor-Like Antibody Agents Specific For Ebv Latent Membrane Protein 2A Peptide Presented By Human Hla
- New York NY, US - Emeryville CA, US Andres Lopez-Albaitero - New York NY, US Cheng Liu - Emeryville CA, US Su Yan - State College PA, US Jingyi Xiang - Walnut Creek CA, US Hong Liu - El Sobrante CA, US
International Classification:
C07K 16/46 C07K 16/08 C07K 16/28 G01N 33/68
Abstract:
Described herein are antibodies, fragments thereof and multi-specific binding agents that bind an Epstein-Barr virus (EBV) latent membrane protein 2 (LMP2) peptide presented by HLA class I molecules, in particular, HLA-A02. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by expression of an EBV-LMP2 peptide presented by HLA-A02, in particular, Burkit's lymphoma, Hodgkin's lymphoma and nasopharyngeal carcinoma.
- New York NY, US - Emeryville CA, US Tao Dao - New York NY, US Su Yan - State College PA, US Cheng Liu - Oakland CA, US
International Classification:
C07K 16/32 C07K 16/28
Abstract:
Disclosed herein is a bi-specific form of a T cell receptor mimic (TCRm) mAb with reactivity to human immune effector cell antigen and a WT1 peptide/HLA-A epitope. This antibody selectively bound to leukemias and solid tumor cells expressing WT1 and HLA-A as well as activated resting human T cells to release interferon-(IFN-γ) and to kill the target cancer cells in vitro. Importantly, the antibody mediated autologous T cell proliferation and directed potent cytotoxicity against fresh ovarian cancer cells. Therapeutic activity in vivo of the antibody was demonstrated in NOD SCID SCID Yc* (NSG) mice with three different human cancers expressing WT1/HLA-A2 including disseminated Ph+ acute lymphocytic leukemia (ALL), disseminated acute myeloid leukemia, and peritoneal mesothelioma. In both of the leukemia xenograft models, mice that received the antibody and T cells also showed longer survival and delayed limb paralysis. Also provided are methods for stimulating a primary T cell response comprising stimulating cytotoxic T cells against a first tumor antigen and a secondary T cell response comprising stimulating effector T cells and/or memory T cells against a first tumor antigen and/or against a second tumor antigen using the bi-specific antibodies described herein.
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May 2011 to 2000 Business AnalystONGUARD FENCE SYSTEMS Branchburg, NJ Jan 2012 to Oct 2012 Account ManagerBLUE SKY TECHNOLOGIES Edison, NJ Aug 2010 to Aug 2011 Energy Specialist
Education:
NEW JERSEY INSTITUTE OF TECHNOLOGY Newark, NJ 2009 to 2011 MBASHAN DONG UNIVERSITY Jinan, CN 2005 to 2009 B.S. in Economics
Skills:
Data Analysis, Inventory Management, Logistics Coordination, Supply Chain Analysis, Budget Analysis, Financial Reporting, Marketing Research
Jun 2011 to 2000 Business AnalystAtlantic Clean Energy Supply Branchburg, NJ Jan 2012 to Oct 2012 Account ManagerBlue Sky Technologies Edison, NJ Aug 2010 to Jun 2011 Solar Energy Specialist
Education:
Bergen County College Paramus, NJ 2013 to 2000 Certificate in Computer ScienceNew Jersey Institute of Technology Newark, NJ 2009 to 2011 MBAShan Dong University Jinan, CN 2005 to 2009 BS in Economics
Skills:
Data Analysis, Business Analysis, Market Research, Financial Analysis, Accounting & Budgeting, Supply Chain Management (Inventory Management, Logistic Coordination), IT Business Analysis, Programming, Database Management & Implementation (SQL, MS Access), Data & Financial Modeling (MS Excel), Statistic Analysis (R), Project Management, Business Planning, Forecasting, Information Analysis, System Analysis, Key Account Management, Operations Management, Production Planning & Scheduling, Knowledge Management
Jun 2011 to 2000 Business AnalystAtlantic Clean Energy Supply Somerville, NJ Jan 2012 to Oct 2012 Account ManagerBlue Sky Technologies Edison, NJ Aug 2010 to Jun 2011 Financial & Marketing Specialist
Education:
Rutgers University Piscataway, NJ 2014 to 2015 MS in Statistics (Data Mining)New Jersey Institute of Technology Newark, NJ 2009 to 2011 MBA in Information SystemShan Dong University Jinan, China 2005 to 2009 BS in Economics
Skills:
C++, SQL, SAS, R, JavaScript, HTML, Excel, VBA, Business Analysis, Data Mining
Mar 2012 to 2000 Private Equity AssociateMF Global
Sep 2010 to 2000 Associate Sales & TradingBofAML
Jun 2009 to Sep 2009 Summer Associate Equity Capital MarketsLehman Brothers
Jul 2004 to May 2009 Assistant Vice PresidentBNY Mellon
Jun 2004 to May 2005 Assistant TreasurerMaxwell Metals Group
May 2002 to May 2004 Assistant Buyer
Education:
Cornell University - S.C. Johnson Graduate School of Management Jan 2009 to Jan 2011 MBA in FinanceCity University of New York-Baruch College - Zicklin School of Business Jan 2004 to Jan 2006 MS in AccountancyState University of New York at Binghamton Jan 1998 to Jan 2002 BS in Economics
Cyberflow Analytics San Diego, CA May 2013 to Aug 2013 Software Developer
Education:
Beijing University of Posts & Telecommunications and Queen Mary, University of London BachelorBeijing University of Posts and Telecommunications Jun 2012 Bachelor of Engineering in E-Commerce EngineeringStevens Institute of Technology Hoboken, NJ Master of Science in Computer Science
Jun 2012 to Aug 2012 InternColumbia University New York, NY Mar 2012 to May 2012 StudentSimulation of a Communication Network
Mar 2012 to May 2012 StudentHyperspectral Image Compressive Sensing and Recovery
Sep 2011 to Nov 2011 StudentNote Onset Detection
Sep 2011 to Nov 2011 Student
Education:
Harbin Institute of Technology, School of Electronics and Information Engineering Harbin, CN Jul 2011 BS in Electrical EngineeringColumbia University, The Fu Foundation School of Engineering and Applied Science New York, NY MS in Electrical Engineering