Available in PDF
In this issue...
In the News
Genomes to Life
OASCR and GTL
DOE Microbial Cell Project
Human Genome Draft
Genome Perspective
Honor for DeLisi
New NIH Institute
Structural Genomics
Imaging Structures
Synchrotron Use
Proteome Organisation
Breast Cancer Research
Gene Expressions Used
Nuclear Medicine
Nuclear Medicine Labs
Toxicogenomics Center
Kettering Prize
Zeta Phi Beta Conference
Microbial Genomes
Sloan-DOE Fellowships
Ribosomes Illuminated
In Memoriam: Walter Goad
Comparative Genomics
Model
Organism Studies
Sushi Delicacy
Arabidopsis Sequence
AAAS Prize
Microbial Conference
Flyer; "Microbe Month"
VISTA Software
Mouse
ORNL Mouse Program
MicroCAT Scanner Used
Draft Sequence Achieved
NCBI Mouse Resources
Human-Mouse Comparisons
MGI Allele Searching
Web, Publications, Resources
Next-Generation Computing
HGMIS Resources
NSF QSB Report
Structural Biology Basics
Minorities and the HGP
HGP Educational Kit
Testing, Counseling Resources
Biotech, ELSI Websites
Biotech Encyclopedia
ASM Report
Nature Yearbook
Next Wave Publication
High-School Curriculum
Education CD-ROMs
Exploring DNA in the Classroom
Funding
US Genome Research Funding
UK Scholarships, PostDocs
Meeting Calendars & Acronyms
Genome and Biotechnology Meetings
Training Courses and Workshops
Acronyms
HGN archives
and subscriptions
Human Genome Project Information home
|
Breast Cancer Researchers Use Gene Expressions
Using gene-expression profiling, an international group of researchers led by Jeffrey Trent (NIH National Human Genome Research Institute) has made it possible to distinguish between hereditary and sporadic breast tumors for the first time. Simultaneous microarray assessments of some 6000 genes within breast cancer cells revealed clear and unique differences in activity patterns, leading to a new test that shows exactly which genes are active in a tumor cell. This capability may have important implications for both diagnosis and treatment. The findings were published in the New England Journal of Medicine 344(8), 539 48 (February 22, 2001).
The electronic form of the newsletter may be cited in the following style:
Human Genome Program, U.S. Department of Energy, Human Genome News (v11n3-4).
|