Click-enabled analogues reveal pregnenolone interactomes in cancer and immune cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Mus Musculus (mouse)
TISSUE(S): T Cell, Blood
SUBMITTER: 
Marco L. Hennrich
LAB HEAD: Anne-Claude Gavin
PROVIDER: PXD025574 | Pride | 2021-04-26
REPOSITORIES: Pride
Similar Datasets
Project description:Drugs targeting DNA and RNA in mammalian cells or viruses can also affect bacteria present in the host and thereby induce the bacterial SOS system. This has the potential to increase mutagenesis and the development of antimicrobial resistance (AMR). Here we have examined nucleoside analogues (NAs) commonly used in anti-viral and anti-cancer therapies for potential effects on mutagenesis in Escherichia coli using the Rifampicin mutagenicity assay. To further explore the mode of action of the NAs, we appliedanalyzed metabolome and proteome of E.coli deletion mutants., and metabolome and proteome analyses. Five out of the thirteen NAs examined, including three nucleoside reverse transcriptase inhibitors (NRTIs) and two anti-cancer drugs, increased the mutation frequency in E. coli more than 25-fold at doses that were within reported plasma concentration range (Pl.CR), but that did not affect bacterial growth. We show that the SOS response is induced and that the increase in mutation frequency is mediated by the TLS polymerase Pol V. Quantitative mass spectrometry based metabolite profiling did not reveal large changes in nucleoside phosphate or other central carbon metabolite pools, which suggests that the SOS induction is an effect of increased replicative stress. Our results suggest that NAs/NRTIs can contribute to the development of AMR.
2021-07-15 | PXD025370 | Pride
Project description:Insulin analogues are designed to improve the pharmacokinetic parameters compared to regular human insulin. This provides a sustained control of blood glucose levels in diabetic patients. All novel insulin analogues are tested for their mitogenic side effects, however these assays do not take into account the molecular mode-of-action of different insulin analogues. Insulin analogues can bind the insulin receptor (INSR) and the insulin-like growth factor-1 receptor (IGF1R) with different affinities and consequently will activate different downstream signaling pathways. Here we used a panel of MCF7 human breast cancer cell lines that selectively express either one of the isoforms of the INSR (IRA or IRB) or the IGF1R. We sought to study the role of the different receptors (IRA, IRB and IGF1R) in the mitogenic signaling of insulin-like molecules (including insulin, glargine, X10 (or AspB10) and IGF1). MCF7 IRA, MCF7 IRB or MCF7 IGF1R cells (as described in Arch Toxicol. 2014 Apr;88(4):953-66. doi: 10.1007/s00204-014-1201-2. Epub 2014 Jan 25.) were cultured in RPMI supplemented with 5% (v/v) CDFBS (Hyclone) and used for experiments. Cells have been exposed for 1 or 6 hours to 10 nM of the indicated insulin-like molecule. As a control sample a vehicle stimulation was performed that contained everything except the active compound.
2015-01-29 | E-GEOD-65398 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8138728 | biostudies-literature
Project description:Strigolactones are a novel class of plant hormones produced in roots and regulate shoot and root development. We have previously shown that synthetic strigolactone analogues potently inhibit growth of breast cancer cells and breast cancer stem cells. Here we show that strigolactone analogues inhibit the growth and survival of an array of cancer-derived cell lines representing solid and non-solid cancer cells including: prostate, colon, lung, melanoma, osteosarcoma and leukemic cell lines, while normal cells were minimally affected. Furthermore, we tested the response of patient-matched conditionally reprogrammed normal and prostate cancer cells. The tumor cells exhibited significantly higher sensitivity to the two most potent SL analogues with increased apoptosis compared to their normal counterpart cells. Treatment of cancer cells with strigolactone analogues was hallmarked by increased expression and activity of genes involved in stress signaling, cell cycle arrest and apoptosis. All five strigolactone analogues induced G2/M cell cycle arrest, accompanied with a decrease in the expression level of cyclin B1. Apoptosis was marked by increased percentages of cells in the sub-G1 fraction and was confirmed by Annexin V staining. In conditionally reprogramed matched tumor and normal prostate cells, the cleavage of PARP1 confirmed the specific increase in apoptosis of tumor cells. In summary, Strigolactone analogues are promising candidates for anticancer therapy by their ability to specifically induce cell cycle arrest, cellular stress and apoptosis in tumor cells with minimal effects on growth and survival of normal cells. There are duplicate samples for each condition. U2OS cells were treated with 2 different strigolactone analogues: ST362 or MEB55 at the concentration of 5 ppm for either 6 hr or 24 hr.Control samples were those treated with vehicle only .
2014-02-10 | E-GEOD-54820 | biostudies-arrayexpress
Project description:Insulin analogues are designed to improve the pharmacokinetic parameters compared to regular human insulin. This provides a sustained control of blood glucose levels in diabetic patients. All novel insulin analogues are tested for their mitogenic side effects, however these assays do not take into account the molecular mode-of-action of different insulin analogues. Insulin analogues can bind the insulin receptor (INSR) and the insulin-like growth factor-1 receptor (IGF1R) with different affinities and consequently will activate different downstream signaling pathways. Here we used a panel of MCF7 human breast cancer cell lines that selectively express either one of the isoforms of the INSR (IRA or IRB) or the IGF1R. We sought to study the role of the different receptors (IRA, IRB and IGF1R) in the mitogenic signaling of insulin-like molecules (including insulin, glargine, X10 (or AspB10) and IGF1).
2015-01-29 | GSE65398 | GEO
Project description:Comparing the expression profiles of the genes in response to estrogen or 17b-estradiol (E2) and a mycotoxin, zearalenone (ZEA), and its analogues. Keywords: Gene expression profiling
2010-03-11 | GSE15249 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE28744: Chemosensitization of DLBCL cells in vitro and in vivo by demethylating nucleoside analogues [gene expression] GSE31101: Chemosensitization of DLBCL cells in vitro and in vivo by demethylating nucleoside analogues [methylation] Refer to individual Series. Supplementary file [gene expression]: To better approach the delta analysis and find differences between sensitive cell lines and resistant cell lines to doxorubicin, we filtered the gene expression matrix for probes with a greater standard deviation among all samples greater than 0.5. We therefore kept 11842 probesets that we used for the analysis.
2012-07-29 | E-GEOD-31104 | biostudies-arrayexpress
Project description: Not available
| S-EPMC6192542 | biostudies-literature
Project description:To gain an overview of the cellular impact of Guanabenz analogues, we analyzed the gene expression changes in PC12 cells expressing GFP-mHtt-74Q utilizing Affimatrix rat genome microarrays. Following exposure of PC12 cells expressing GFP-mHtt-74Q to Compound 6 for 48 hrs, we noted the enhanced expression of over 46 genes and the reduced expression of 8 genes compared to DMSO
2019-09-05 | GSE119557 | GEO
Project description:Haffez2017 - RAR interaction with synthetic
analogues
This model is described in the article:
The molecular basis of the
interactions between synthetic retinoic acid analogues and the
retinoic acid receptors
Hesham Haffez, David R. Chisholm,
Roy Valentine, Ehmke Pohl, Christopher Redfern and Andrew
Whiting
MedChemComm
Abstract:
All-trans-retinoic acid (ATRA) and its synthetic analogues
EC23 and EC19 direct cellular differentiation by interacting as
ligands for the retinoic acid receptor (RARα,
β and γ) family of nuclear receptor
proteins. To date, a number of crystal structures of natural
and synthetic ligands complexed to their target proteins have
been solved, providing molecular level snap-shots of ligand
binding. However, a deeper understanding of receptor and ligand
flexibility and conformational freedom is required to develop
stable and effective ATRA analogues for clinical use.
Therefore, we have used molecular modelling techniques to
define RAR interactions with ATRA and two synthetic analogues,
EC19 and EC23, and compared their predicted biochemical
activities to experimental measurements of relative ligand
affinity and recruitment of coactivator proteins. A
comprehensive molecular docking approach that explored the
conformational space of the ligands indicated that ATRA is able
to bind the three RAR proteins in a number of conformations
with one extended structure being favoured. In contrast the
biologically-distinct isomer, 9-cis-retinoic acid (9CRA),
showed significantly less conformational flexibility in the RAR
binding pockets. These findings were used to inform docking
studies of the synthetic retinoids EC23 and EC19, and their
respective methyl esters. EC23 was found to be an excellent
mimic for ATRA, and occupied similar binding modes to ATRA in
all three target RAR proteins. In comparison, EC19 exhibited an
alternative binding mode which reduces the strength of key
polar interactions in RARα/γ but is
well-suited to the larger RARβ binding pocket. In
contrast, docking of the corresponding esters revealed the loss
of key polar interactions which may explain the much reduced
biological activity. Our computational results were
complemented using an in vitro binding assay based on FRET
measurements, which showed that EC23 was a strongly binding,
pan-agonist of the RARs, while EC19 exhibited specificity for
RARβ, as predicted by the docking studies. These
findings can account for the distinct behaviour of EC23 and
EC19 in cellular differentiation assays, and additionally, the
methods described herein can be further applied to the
understanding of the molecular basis for the selectivity of
different retinoids to RARα, β and
γ.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000629.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2013-01-31 | BIOMD0000000629 | BioModels