What can be learned using microarrays?

Kidney International

Volumn 72, Issue 7, 2007, Pages 783-784

  Stegall, M D ^a   Park, W ^a  

^a Mayo Clinic   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEUTROPHIL CYTOPLASMIC ANTIBODY;

DISEASE COURSE; GENE EXPRESSION; HUMAN; KIDNEY BIOPSY; KIDNEY GRAFT; MICROARRAY ANALYSIS; PATHOGENESIS; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SYSTEMIC LUPUS ERYTHEMATOSUS; T LYMPHOCYTE;

ARTHRITIS, RHEUMATOID; GENE EXPRESSION PROFILING; GENOME, HUMAN; HUMANS; LEUKOCYTES; LUPUS NEPHRITIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; VASCULITIS;

EID: 34648834836     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/sj.ki.5002492     Document Type: Note

References (6)

1. Alcorta DA, Barnes DA, Dooley MA et al. Leukocyte gene expression signatures in antineutrophil cytoplasmic autoantibody and lupus glomerulonephritis. Kidney Int 2007; 72: 853-864.
2. Naderi A, Teschendorff AE, Barbosa-Morais NL et al. A gene-expression signature to predict survival in breast cancer across independent data sets. Oncogene 2007; 26: 1507-1516.
3. Brenton JD, Carey LA, Ahmed AA, Caldas C. Molecular classification and molecular forecasting of breast cancer: ready for clinical application? J Clin Oncol 2005; 23: 7350-7360.
4. Park W, Griffin M, Grande JP et al. Molecular evidence of injury and inflammation in normal and fibrotic renal allografts one year posttransplant. Transplantation 2007; 83: 1466-1476.
5. Loring JF. Evolution of microarray analysis. Neurobiol Aging 2006; 27: 1084-1086.
6. Park WD, Stegall MD. A meta-analysis of kidney microarray datasets: investigation of cytokine gene detection and correlation with rt-PCR and detection thresholds. BMC Genomics 2007; 8: 88.