- Experimental Design: Before starting your experiment, make an appointment to discuss your project with the core director, Charles Wang, M.D., Ph.D.. Experimental design, microarray platform and other technical issues will be discussed. Read Microarray Experimental Design for more details.
- You will need to submit a sample submission form. To comply with the MIAME standard, we ask users to fill out the MIAME form. The information in the form will be stored in the National Cancer Institute caArray database along with your data. Only you and your assigned colleagues will have the access to the information provided in the form. Once filled out, submit to the form to the ore staff for review.
- The core staff will email you a description detailing the service items and cost. An invoice will be sent to you by our core financial analyst, Jose Chu.
- Sample Submission: After you have extracted your RNA or DNA, submit the appropriate amount of RNA for your given platform plus a minimum of 4uL extra of each sample to the microarray core for quantity and quality checks.
- Sample concentrations will be checked using the NanoDrop. You will be given the sample concentrations as well as the 260/230 and 260/280 rations
- The sample integrity will be checked using the Agilent BioAnalyzer. You will be given a PDF file with the results.
If Samples pass QC: Technician will proceed with the processing of the sample.
If Sample fails QC:You will have two options: You will have two options: 1) generate a new sample 2) if you wish to proceed with the labeling it will be at your own risk, the core will process your samples but will not guarantee any of the results:
: You will be notified when your data is ready; generally within one to two weeks. You will be given a SFTP site to download your data. Any leftover RNA or DNA will be available for you to pick up. If after one month the samples are not picked up, they will be discarded without notice.
Please contact Charles Wang, M.D., Ph.D., and Yate-Ching Yuan, Ph.D. in
Bioinformatics Core (BIC) Facility for data analysis.