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| Status |
Public on May 16, 2020 |
| Title |
Next generation sequencing identifies differentially expressed genes between breast cancer with diabetes and breast cancer without diabetes |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
We report the application of RNA-sequencing for high-throughput profiling of transcriptomes in tumor tissues from patients with breast cancer and diabetes, and in tumor tissues from breast cancer patients without diabetes.
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| |
|
| Overall design |
Comparison of mRNA expression profiles between breast cancer with diabetes and breast cancer without diabetes
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| |
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| Contributor(s) |
Zhai R, He Q |
| Citation missing |
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| |
| Submission date |
May 14, 2020 |
| Last update date |
May 16, 2020 |
| Contact name |
Rihong Zhai |
| E-mail(s) |
rzhai@szu.edu.cn
|
| Phone |
+86 755 26919842
|
| Organization name |
Shenzhen University School of Medicine
|
| Street address |
1066 Xueyuan Ave.
|
| City |
Shenzhen |
| State/province |
Guangdong |
| ZIP/Postal code |
518060 |
| Country |
China |
| |
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| Platforms (1) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
|
| Samples (13)
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| Relations |
| BioProject |
PRJNA632870 |
| SRA |
SRP261627 |
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