Patents by Inventor Vidya VENKATRAMAN

Vidya VENKATRAMAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200292558
    Abstract: Described herein are methods for identification/discovery of protein biomarkers for chronic kidney disease (CKD) and diagnosing and/or prognosing and/or predicting progression of and/or treating chronic kidney disease (CKD).
    Type: Application
    Filed: October 12, 2018
    Publication date: September 17, 2020
    Applicants: Cedars-Sinai Medical Center, THE JOHNS HOPKINS UNIVERSITY
    Inventors: Jennifer VAN EYK, Qin FU, Vidya VENKATRAMAN, Zongming FU, Josef CORESH
  • Publication number: 20190383832
    Abstract: The present disclosure relates to methods for diagnosing and evaluating a subject that has sustained or may have sustained an injury to the head, such as a traumatic brain injury (TBI). In particular, the present disclosure identifies various biomarkers, the detection and/or differential expression of which can be used to assess the presence or absence of a TBI in a subject, and can be used as a basis for diagnosing a subject as having a specific type of TBI (e.g., severe TBI or subclasses of mild TBI). The various TBI biomarkers can be detected individually or in combination and can be used as an important diagnostic, prognostic, and/or TBI risk stratification tool as part of assessing a subject's TBI status.
    Type: Application
    Filed: December 27, 2018
    Publication date: December 19, 2019
    Inventors: Jennifer Van Eyk, Beth McQuiston, Saul Datwyler, Raj Chandran, Vidya Venkatraman, Shenyan Zhang
  • Publication number: 20190369114
    Abstract: Sample preparation for proteomic analysis of complex biological samples by mass spectrometry is a tedious and time-consuming process with many steps where technical variations can be introduced and propagated. We describe an automated trypsin digestion workflow that yields uniformly-processed samples in less than 5 hours. Reproducible quantitation of hundreds of peptides from numerous proteins was seen across replicates, days, instruments, and laboratory sites, demonstrating the broad applicability of this approach.
    Type: Application
    Filed: July 18, 2019
    Publication date: December 5, 2019
    Applicant: Cedars-Sinai Medical Center
    Inventors: Jennifer VAN EYK, Qin FU, Vidya VENKATRAMAN, Irina TCHERNYSHYOV
  • Patent number: 10352942
    Abstract: Described herein are methods for identifying signature peptides for quantifying a polypeptide of interest in a sample. The methods include cleaving the polypeptide into peptides; detecting a multiplicity of the peptides with a quantitative analytical instrument; comparing the linearity of signals attributable to pairs of the peptides in a multiplicity of samples; and selecting signature peptides from a group of peptides with more highly correlated signals.
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: July 16, 2019
    Assignees: Cedars-Sinai Medical Center, The Johns Hopkins University
    Inventors: Eric Grote, Qin Fu, Jennifer Van Eyk, Vidya Venkatraman
  • Publication number: 20180217162
    Abstract: The present invention relates to the field of myocardial injury. More specifically, the present invention provides methods and compositions useful in the diagnosis, prognosis and/or assessment of myocardial injury. In a specific embodiment, a method comprises the steps of (a) diagnosing a subject as having myocardial injury based on the statistically significant over expression of one or more markers described herein compared to a baseline value, wherein the markers are measured in a biological sample obtained from the subject; and (b) treating the subject with one or more of an anti-thrombolysis agent, coronary bypass surgery or angioplasty.
    Type: Application
    Filed: February 22, 2016
    Publication date: August 2, 2018
    Inventors: Qin Fu, Jennifer Eileen Van Eyk, Vidya Venkatraman
  • Publication number: 20180136220
    Abstract: Described herein are methods for identifying signature peptides for quantifying a polypeptide of interest in a sample. The methods include cleaving the polypeptide into peptides; detecting a multiplicity of the peptides with a quantitative analytical instrument; comparing the linearity of signals attributable to pairs of the peptides in a multiplicity of samples; and selecting signature peptides from a group of peptides with more highly correlated signals.
    Type: Application
    Filed: May 31, 2016
    Publication date: May 17, 2018
    Applicants: Cedars-Sinai Medical Center, The John Hopkins University
    Inventors: Eric GROTE, Qin FU, Jennifer Van Eyk, Vidya VENKATRAMAN