Technical Issues Involved in Obtaining Reliable Data from Microarray Experiments

نویسندگان

  • James C. Fuscoe
  • William S. Branham
  • Cathy D. Melvin
  • Varsha G. Desai
  • Carrie L. Moland
  • Tao Han
  • Leming Shi
  • Weida Tong
  • Adam T. Scully
  • Robert R. Delongchamp
چکیده

Microarrays show great promise in advancing the understanding of many biological phenomena, including toxicity and effectiveness of the many products regulated by the U.S. Food and Drug Administration. In addition, devices based on the microarray technology have the potential to individualize diagnosis and treatment of disease, as well as monitor efficacy of treatment regimens. To realize these expectations, reliable and reproducible measurements are essential. Currently, there are no generally accepted standards for performing and analyzing a microarray study. Without such quality assurance standards among the microarray community, it will be difficult to move this technology into the regulatory framework where it holds such promise. Here, we describe observations and approaches undertaken at the NCTR Center for Functional Genomics to examine and optimize steps in the complex microarray procedure with the aim of decreasing variability in order to generate reliable data. These observations illustrate some of the subtle technical issues that can easily be overlooked in microarray experiments. Among the factors that can influence microarray experiments are microarray printing procedures, oligonucleotide characteristics, RNA quality, and environmental factors. REGULATORY RESEARCH PERSPECTIVES Volume 6, Issue 1 March 2006 DHHS/FDA/Jefferson Labs National Center for Toxicological Research Impact on Public Health

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Diagnosis of Breast Cancer Subtypes using the Selection of Effective Genes from Microarray Data

Introduction: Early diagnosis of breast cancer and the identification of effective genes are important issues in the treatment and survival of the patients. Gene expression data obtained using DNA microarray in combination with machine learning algorithms can provide new and intelligent methods for diagnosis of breast cancer. Methods: Data on the expression of 9216 genes from 84 patients across...

متن کامل

Reduction of Odometry Error in a two Wheeled Differential Drive Robot (TECHNICAL NOTE)

Pose estimation is one of the vital issues in mobile robot navigation. Odometry data can be fused with absolute position measurements to provide better and more reliable pose estimation. This paper deals with the determination of better relative localization of a two wheeled differential drive robot by means of odometry by considering the influence of parameters namely weight, velocity, wheel p...

متن کامل

Gene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method

Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection method. Materials and Methods: In this descriptive study, the expressio...

متن کامل

DNA microarray experiments: biological and technological aspects.

DNA microarray technologies, such as cDNA and oligonucleotide microarrays, promise to revolutionize biological research and further our understanding of biological processes. Due to the complex nature and sheer amount of data produced from microarray experiments, biologists have sought the collaboration of experts in the analytical sciences, including statisticians, among others. However, the b...

متن کامل

Integration and Reduction of Microarray Gene Expressions Using an Information Theory Approach

The DNA microarray is an important technique that allows researchers to analyze many gene expression data in parallel. Although the data can be more significant if they come out of separate experiments, one of the most challenging phases in the microarray context is the integration of separate expression level datasets that have gathered through different techniques. In this paper, we prese...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006