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Home › Dataset Library › Expression data from AML cell lines

Dataset: Expression data from AML cell lines

Post-chemotherapy relapse presents a major unmet medical need in AML where treatment options are limited. We used gene expression profile...

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Post-chemotherapy relapse presents a major unmet medical need in AML where treatment options are limited. We used gene expression profile from 32 AML cell lines to characterize expression difference between responder and non-responders to PIM inhibitors. Our results highlight the importance of STAT5 and MYC in rendering cancer cells sensitive to PIM inhibitors. All AML cell lines were purchased from either ATCC or DSMZ and cultured accordingly to vendors’ protocols. Gene expression were measured from the cell lines using Affymetrix microarrays. Response to PIM inhibitors (IC50) was recorded for each cell line, and association between drug response and gene expression were analyzed.

Species:
human

Samples:
32

Source:
E-GEOD-59808

Updated:
Dec.12, 2014

Registered:
Sep.21, 2014


Factors: (via ArrayExpress)
Sample CELL LINE
GSM1446733 EOL-1
GSM1446734 F-36P
GSM1446735 GDM-1
GSM1446736 HL-60
GSM1446737 ML-2
GSM1446738 MOLM-13
GSM1446739 MOLM-16
GSM1446740 NB-4
GSM144674 SKM-1
GSM1446742 THP-1
GSM1446743 MO7E
GSM1446744 KG-1
GSM1446745 KASUMI-1
GSM1446746 MV4-11
GSM1446747 KG-1A
GSM1446748 KMOE-2
GSM1446749 OCI-AML2
GSM1446750 PLB-985
GSM144675 OCI-AML5
GSM1446752 OCI-M1
GSM1446753 PL-21
GSM1446754 ME-1
GSM1446755 NOMO-1
GSM1446756 OCI-AML3
GSM1446757 HNT-34
GSM1446758 FKH-1
GSM1446759 GF-D8
GSM1446760 OCI-M2
GSM144676 SH-2
GSM1446762 SHI-1
GSM1446763 HEL
GSM1446764 SET2

Tags

  • cancer
  • cell
  • line

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