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Series GSE190699 Query DataSets for GSE190699
Status Public on Dec 11, 2022
Title Fatty acid binding proteins contribute to multiple myeloma cell maintenance through regulation of Myc, the unfolded protein response, and metabolism
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Multiple myeloma (MM) is an incurable plasma cell malignancy that causes anemia, osteolysis, hypercalcemia, and organ failure, with only a 53% 5-years survival rate. Herein, we present data demonstrating a novel target in MM: the fatty acid binding protein (FABP) family. In clinical data, FABP5 represented a novel biomarker for more aggressive cancer. FABP inhibitors decreased tumor burden in vitro and in vivo and increased survival in immunocompetent and immunocompromised mouse models. FABP5 was the most highly expressed FABP member in myeloma cells, and the most essential for their survival. CRISPR-Cas9 generated FABP5-KO MM.1S cells showed inhibited growth potential. RNA-sequencing and metabolic analysis identified new pathways of action for the FABPs, including MYC, the unfolded protein response (UPR), and metabolic changes. Collectively, our results demonstrate that FABPs comprise a novel, targetable, and safe, therapeutic avenue for MM and other cancers, and suggest inhibiting FABPs may be worthy of further study.
Overall design MM.1S cells were cultured for 24 hours with 50 μM BMS309403, 50 μM SBFI-26 or the combination in a T25 at a density of 2.5x10^6 cells. mRNA was isolated with Qiazol and miRNeasy Mini Kit with on-column DNAse digestion according to the manufacturer’s protocol.
Contributor(s) Dragon J
Citation(s) 36880649
Submission date Dec 11, 2021
Last update date Jun 20, 2023
Contact name Julie Dragon
Department MMG
Street address 95 Carrigan Dr
City Burlington
State/province VT
ZIP/Postal code 05405
Country USA
Platforms (1)
GPL18460 Illumina HiSeq 1500 (Homo sapiens)
Samples (12)
GSM5729311 MM1_D701_S1
GSM5729312 MM2_D702_S2
GSM5729313 MM3_D703_S3
BioProject PRJNA788125

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Supplementary file Size Download File type/resource
GSE190699_mreagan_Counts_20200927_Quantify_to_annotation_model_E_M_Gene_counts.txt.gz 802.0 Kb (ftp)(http) TXT
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