Expression profiles in 3 different B-cell lymphoma cell lines treated by 92 FDA approved compounds
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE60408 | GEO | 2015/07/08
SECONDARY ACCESSION(S): PRJNA258206
REPOSITORIES: GEO
Similar Datasets
Project description:Identifying the Mechanism of Action (MoA) of drugs is critical for the development of new drugs, understanding their side effects, and drug repositioning. However, identifying drug MoA has been challenging and has been traditionally attempted only though large experimental setups with little success. While advances in computational power offers the opportunity to achieve this in-silico, methods to exploit existing computational resources are still in their infancy. To overcome this, we developed a novel method to identify Drug Mechanism of Action using Network Dysregulation (DeMAND). The method is based on the realization that drugs affect the protein activity of their targets, but not necessarily their mRNA expression levels. In contrast, the change in protein activity directly affects the mRNA expression levels of downstream genes. Based on this hypothesis, DeMAND identifies drug MoA by comparing gene expression profiles following drug perturbation with control samples, and computing the change in the individual interactions within a pre-determined integrated transcriptional and post-translational regulatory model (interactome). This dataset includes GEPs in 3 different B-cell lymphoma cell lines (OCI-LY3, OCI-LY7 and U2932) at 6, 12, and 24hrs. 92 FDA approved compounds were used at a concentration of IC20 at 24h. DMSO was used as control at each time-point. A total of 828 samples and 29 control samples were available for analysis. Total RNA was isolated with the RNAqueous-96 Automated Kit (Ambion) on the Janus automated liquid handling system (Perkin Elmer Inc.), quantified by NanoDrop 6000 spectrophotometer and quality checked by Agilent Bioanalyzer. 300ng of each of the samples with RIN value >7 were converted to biotinylated cRNA with the Illumina TotalPrep-96 RNA Amplification Kit (Ambion) using a standard T7-based amplification protocol and hybridized on the Human Genome U219 96-Array Plate (Affymetrix). Hybridization, washing, staining and scanning of the array plates were performed on the GeneTitan Instrument (Affymetrix) according to manufacturer’s protocols.
2015-07-08 | E-GEOD-60408 | biostudies-arrayexpress
Project description:Chemoproteomics is a key platform for characterizing the mode of action (MoA) for compounds, especially for targeted protein degraders such as proteolysis targeting chimerics (PROTACs) and molecular glues. With deep proteome coverage, multiplexed tandem mass tag-mass spectrometry (TMT-MS) can tackle up to 18 samples in a single experiment. Here, we present a pooling strategy to further enhance the throughput, and apply the strategy to an FDA-approved drug library (95 best-in-class compounds). The TMT-MS-based pooling strategy was evaluated in the following steps. First, we demonstrated the capability of TMT-MS by analyzing over 15,000 unique proteins (>12,000 gene products) in HEK293 cells treated with five PROTACs (two BRD/BET degraders and three degraders for FAK, ALK, and BTK kinases). We then introduced a rationalized pooling strategy to separate structurally similar compounds in different pools, and identified the proteomic response to 14 pools from the drug library. Finally, we validated the proteomic response from one pool by re-profiling the cells under individual drug treatment with sufficient replicates. Interestingly, numerous proteins were found to change upon drug treatment, including AMD1, ODC1, PRKX, PRKY, EXO1, AEN and LRRC58 by 7-Hydroxystaurosporine; C6orf64, HMGCR and RRM2 by Sorafenib; SYS1 and ALAS1 by Venetoclax; and ATF3, CLK1 and CLK4 by Palbocilib. Thus, the pooling chemoproteomics screening provides an efficient method for dissecting the molecular targets of compound libraries.
2023-03-11 | PXD033780 | Pride
Project description:Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive soft tissue sarcomas developed from Schwann cell lineage. They account for up to 10% of all soft tissue sarcomas. Although there is an unmet need for new therapeutic agents for MPNSTs, to date there have been few transcriptomic analyses of this tumor type. We studied FDA approved drugs for MPNST treatment and compared their transcriptomic changes in cell lines before and after treatment. We demonstrated that Fludarabine treated NF1 MPNST cells exhibited altered signaling pathways such as the upregulation of the Wnt/Ca+ pathway and downregulation of the hedgehog and hypoxia signaling pathways in the Ingenuity Pathway Analysis (IPA) and Gene Set Enrichment Analysis (GSEA) analysis. The combined Colchicine and Fludarabine treatment enhanced the cytotoxicity of sporadic MPNST cells through altered signaling pathways, including increased Wnt/β-catenin pathway and others. The transcriptomic analysis comparing NF1/sporadic MPNST cells and normal Schwann cells indicated that NF1 MPNST cells had more splicing events, fewer single nucleotide variants, and induced RNA expression than sporadic MPNST cells. In summary, we identified a transcriptomic differences between MPNSTs and Schwann cells, between sporadic MPNST cells and NF1 MPNST cells, and between drug treated MPNST cells and vehicle treated cells.
2023-10-21 | GSE159896 | GEO
Project description:The inability of the adult human heart to regenerate lost or damaged myocardial tissue has created one of the most pressing public health dilemmas due to the devastating impact of heart failure. Our group and others have outlined several regulators of cardiomyocyte mitosis that may impact the regenerative capacity of the adult myocardium in mammals. Recently, we reported that the transcription factors Meis1 and Hoxb13 regulate postnatal cardiomyocyte cell cycle arrest, where concomitant deletion of both genes induced cardiomyocyte proliferation and myocardial regeneration following ischemic injury. These studies suggest that pharmacological targeting Meis1 and Hoxb13 transcriptional activity could be a viable path towards heart regeneration. Therefore, we performed an in-silico screen to identify FDA-approved drugs that can inhibit Meis1 and Hoxb13 transcriptional activity based on the published crystal structure of Meis1 and Hoxb13 bound to DNA. Our screen yielded several candidates based on binding profiles to either Meis1 DNA binding domain, Hoxb13 DNA binding domain, or the interface between Meis1 and Hoxb13, as well as safety and side effect profiles. Out of the shortlist of top hits, paromomycin and neomycin induced proliferation of neonatal rat ventricular myocytes in vitro and displayed dose-dependent inhibition of Meis1 and Hoxb13 transcriptional activity by luciferase assay, and disruption of DNA binding by EMSA. X-ray crystal structure revealed that both paromomycin and neomycin bind to Meis1 near the Hoxb13 interaction site where they interact with 3 out of the 5 Meis1 amino acids that participate in DNA-binding. The crystal structure also demonstrates that both drugs bind at the interface of Meis1 homodimer, therefore placing one of the Meis1 monomers in a position incompatible with DNA-binding. Importantly, administration of paromomycin-neomycin combination by intraperitoneal injection in mice induced cardiomyocyte proliferation, improved left ventricular (LV) systolic function and decreased scar formation in two models of ischemic reperfusion injury in mice. Finally, dual intravenous administration of the paromomycin-neomycin combination in Yorkshire pigs following cardiac ischemia/reperfusion injury induced cardiomyocyte proliferation, improved LV systolic function, and decreased scar formation. Collectively, we identified paromomycin and neomycin as FDA-approved drugs with therapeutic potential for induction of heart regeneration in humans.
2024-01-18 | GSE240519 | GEO
Project description:The inability of the adult human heart to regenerate lost or damaged myocardial tissue has created one of the most pressing public health dilemmas due to the devastating impact of heart failure. Our group and others have outlined several regulators of cardiomyocyte mitosis that may impact the regenerative capacity of the adult myocardium in mammals. Recently, we reported that the transcription factors Meis1 and Hoxb13 regulate postnatal cardiomyocyte cell cycle arrest, where concomitant deletion of both genes induced cardiomyocyte proliferation and myocardial regeneration following ischemic injury. These studies suggest that pharmacological targeting Meis1 and Hoxb13 transcriptional activity could be a viable path towards heart regeneration. Therefore, we performed an in-silico screen to identify FDA-approved drugs that can inhibit Meis1 and Hoxb13 transcriptional activity based on the published crystal structure of Meis1 and Hoxb13 bound to DNA. Our screen yielded several candidates based on binding profiles to either Meis1 DNA binding domain, Hoxb13 DNA binding domain, or the interface between Meis1 and Hoxb13, as well as safety and side effect profiles. Out of the shortlist of top hits, paromomycin and neomycin induced proliferation of neonatal rat ventricular myocytes in vitro and displayed dose-dependent inhibition of Meis1 and Hoxb13 transcriptional activity by luciferase assay, and disruption of DNA binding by EMSA. X-ray crystal structure revealed that both paromomycin and neomycin bind to Meis1 near the Hoxb13 interaction site where they interact with 3 out of the 5 Meis1 amino acids that participate in DNA-binding. The crystal structure also demonstrates that both drugs bind at the interface of Meis1 homodimer, therefore placing one of the Meis1 monomers in a position incompatible with DNA-binding. Importantly, administration of paromomycin-neomycin combination by intraperitoneal injection in mice induced cardiomyocyte proliferation, improved left ventricular (LV) systolic function and decreased scar formation in two models of ischemic reperfusion injury in mice. Finally, dual intravenous administration of the paromomycin-neomycin combination in Yorkshire pigs following cardiac ischemia/reperfusion injury induced cardiomyocyte proliferation, improved LV systolic function, and decreased scar formation. Collectively, we identified paromomycin and neomycin as FDA-approved drugs with therapeutic potential for induction of heart regeneration in humans.
2024-01-18 | GSE240437 | GEO
Project description:Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to > 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
2020-08-17 | PXD018569 | Pride
Project description:Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to > 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
2020-08-17 | PXD018570 | Pride
Project description:Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to > 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
2020-08-17 | PXD018574 | Pride
Project description:Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to > 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
2020-08-17 | PXD018573 | Pride
Project description:Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to > 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
2020-08-17 | PXD018572 | Pride