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| Status |
Public on Oct 25, 2012 |
| Title |
Revisiting Global Gene Expression Analysis (Microarray) |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
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| Overall design |
RNA was extracted from cells expressing low, moderate or high levels of c-Myc. A panel of synthetic RNA's was added to these populations, based on cell number. Total RNA was then extracted and processed on Affymetrix microarrays in biological duplicate.
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| Contributor(s) |
Loven J, Orlando DA, Sigova A, Young RA |
| Citation(s) |
23101621 |
| Submission date |
Sep 11, 2012 |
| Last update date |
May 18, 2016 |
| Contact name |
Richard A Young |
| E-mail(s) |
young_computation@wi.mit.edu
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| Phone |
617-258-5219
|
| Organization name |
Whitehead Institute for Biomedical Research
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| Lab |
Young Lab
|
| Street address |
9 Cambridge Center
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| City |
Cambridge |
| State/province |
MA |
| ZIP/Postal code |
02142 |
| Country |
USA |
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| Platforms (1) |
| GPL16043 |
GeneChip® PrimeView™ Human Gene Expression Array (with External spike-in RNAs) |
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| Samples (6)
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| This SubSeries is part of SuperSeries: |
| GSE40784 |
Revisiting Global Gene Expression Analysis |
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| Relations |
| BioProject |
PRJNA174953 |
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