Systems and methods for characterizing a biological condition or agent using precision gene expression profiles

• US 20050060101A1
• Filed: 12/19/2003
• Published: 03/17/2005
• Est. Priority Date: 06/28/1999
• Status: Abandoned Application

• Current Assignee: Life Technologies Corporation (Thermo Fisher Scientific Incorporated)
• Original Assignee: Life Technologies Corporation (Thermo Fisher Scientific Incorporated)
• Inventors: Bankaitis-Davis, Danute M., Cheronis, John C., Tryon, Victor, Bevilacqua, Michael P.
• Application Number:
  US10/742,458
• Publication Number:
  US 20050060101A1
• Time in Patent Office: Days
• US Class Current: 702/20
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: C12Q 1/6851 Quantitative amplification
• CPC Class Codes: C12Q 1/689 for bacteria
• CPC Class Codes: C12Q 1/6893 for protozoa
• CPC Class Codes: C12Q 1/6895 for plants, fungi or algae
• CPC Class Codes: C12Q 1/701 Specific hybridization probes
• CPC Class Codes: C12Q 2600/158 Expression markers
• CPC Class Codes: G01N 2800/042 Disorders of carbohydrate metabolism, e.g. diabetes, glucose metabolism
• CPC Class Codes: G01N 33/5088 of vertebrates
• CPC Class Codes: G01N 33/57415 of breast
• CPC Class Codes: G01N 33/6803 General methods of protein analysis not limited to specific proteins or families of proteins
• CPC Class Codes: G01N 33/6863 Cytokines, i.e. immune system proteins modifying a biological response such as cell growth proliferation or differentiation, e.g. TNF, CNF, GM-CSF, lymphotoxin, MIF or their receptors
• CPC Class Codes: G01N 33/6869 Interleukin
• CPC Class Codes: G01N 33/6893 related to diseases not provided for elsewhere
• CPC Class Codes: G16B 20/00 ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• CPC Class Codes: G16B 20/20 Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
• CPC Class Codes: G16B 25/00 : ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16B 25/10 : Gene or protein expression profiling; Expression-ratio estimation or normalisation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A method is provided in various embodiments for determining a profile data set for a subject with infectious disease or inflammatory conditions related to infectious disease based on a sample from the subject, wherein the sample provides a source of RNAs. The method includes using amplification for measuring the amount of RNA corresponding to at least 2 constituents from Table 1. The profile data set comprises the measure of each constituent, and amplification is performed under measurement conditions that are substantially repeatable.

Claims