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NP-18 vs. NP-18AR transcriptional profile upon treatment with TK/GCV

ABSTRACT: Pancreatic cancer-derived cells NP-18 underwent four rounds of treatment with increasing doses of an adenoviral vector encoding TK enzyme and GCV. Surviving cells were termed NP-18AR and displayed decreased sensitivity to treatment. This experiment analyses the transcriptomic effect of TK/GCV treatment on NP-18AR as compared to that of NP-18 cells. Two-condition experiment, where response to treatment in naïve cells (NP-18) was compared to response to treatment in previously treated resistant cells (NP-18AR). Biological replicates: samples from 3 independently generated and independently treated NP-18AR lines (NP-18AR1, NP-18AR2 and NP-18AR3) were hibridized with 3 independently treated samples of NP-18 cells. A total of 9 hybridizations were performed, 2 for NP-18AR1 (including 1 dye-swap), 4 for NP-18AR2 (including 2 dye swaps) and 3 for NP-18AR3 (including 1 dye-swap).

ORGANISM(S): Homo sapiens

SUBMITTER: Abate-Daga D

PROVIDER: S-ECPF-GEOD-17137 | biostudies-other | 2010 Oct

REPOSITORIES: biostudies-other

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NP-18 vs. NP-18AR transcriptional profile upon treatment with TK/GCV

2010-07-16 | GSE17137 | GEO

NP-18 vs. NP-18AR transcriptional profile upon treatment with TK/GCV

Project description:Pancreatic cancer-derived cells NP-18 underwent four rounds of treatment with increasing doses of an adenoviral vector encoding TK enzyme and GCV. Surviving cells were termed NP-18AR and displayed decreased sensitivity to treatment. This experiment analyses the transcriptomic effect of TK/GCV treatment on NP-18AR as compared to that of NP-18 cells. Two-condition experiment, where response to treatment in naïve cells (NP-18) was compared to response to treatment in previously treated resistant cells (NP-18AR). Biological replicates: samples from 3 independently generated and independently treated NP-18AR lines (NP-18AR1, NP-18AR2 and NP-18AR3) were hibridized with 3 independently treated samples of NP-18 cells. A total of 9 hybridizations were performed, 2 for NP-18AR1 (including 1 dye-swap), 4 for NP-18AR2 (including 2 dye swaps) and 3 for NP-18AR3 (including 1 dye-swap).

2010-07-16 | E-GEOD-17137 | biostudies-arrayexpress

Robust learning for optimal treatment decision with NP-dimensionality.

Project description:In order to identify important variables that are involved in making optimal treatment decision, Lu, Zhang and Zeng (2013) proposed a penalized least squared regression framework for a fixed number of predictors, which is robust against the misspecification of the conditional mean model. Two problems arise: (i) in a world of explosively big data, effective methods are needed to handle ultra-high dimensional data set, for example, with the dimension of predictors is of the non-polynomial (NP) order of the sample size; (ii) both the propensity score and conditional mean models need to be estimated from data under NP dimensionality. In this paper, we propose a robust procedure for estimating the optimal treatment regime under NP dimensionality. In both steps, penalized regressions are employed with the non-concave penalty function, where the conditional mean model of the response given predictors may be misspecified. The asymptotic properties, such as weak oracle properties, selection consistency and oracle distributions, of the proposed estimators are investigated. In addition, we study the limiting distribution of the estimated value function for the obtained optimal treatment regime. The empirical performance of the proposed estimation method is evaluated by simulations and an application to a depression dataset from the STAR*D study.

| S-EPMC5544015 | biostudies-literature

Methylome analysis of 18 wild-type and mutant mouse ES, NP and MEF cells

Project description:The analysis of the 18 methylomes comprise 3 biological replicates of TDG+/- ES cells, 3 biological replicates of TDG-/- ES cells, 3 biological replicates of TDG+/- NP cells, 3 biological replicates of TDG-/- NP cells, 3 biological replicates of TDG+/+ MEF cells and 3 biological replicates of TDG-/- MEF cells.

2011-02-24 | GSE27468 | GEO

T1E-18 vs T1E-18 Indole

Project description:Transcriptional profile of Pseudomonas putida DOT-T1E-18 strain grown in the presence of indole (300 uM) compared with the same cells grown in absence of indole.

2013-03-15 | E-MEXP-3822 | biostudies-arrayexpress

T1E-18 vs T1E-18 Ampicillin

Project description:Transcriptional profile of Pseudomonas putida DOT-T1E-18 grown in the presence of ampicillin (100 ug/ml) compared with the same cells grown in absence of ampicillin.

2013-03-15 | E-MEXP-3824 | biostudies-arrayexpress

Metabolomics analysis of liver reveals profile disruption in bovines upon steroid treatment

Project description:INTRODUCTION: The surveillance of illegal anabolic practices in bovine meat production is necessary to guarantee consumers’ health. Screening strategies based on the recognition of indirect biological effects are considered by the community as promising tools to overcome some limitations of classical analytical methods and might therefore concur to ensure safer food for the consumer.OBJECTIVES: The present work aims at characterizing the metabolic profile induced in liver by administration of anabolic steroids, and at identifying potential disturbances in the hepatic metabolism.METHODS: A total of 32 liver samples, 16 from untreated bulls and 16 from bulls treated with an ear implant (Revalor-XS®) containing trenbolone acetate (200 mg) and ß-estradiol (40 mg), were analyzed following a LC–MS-based metabolomic analysis combining RP and HILIC chromatographic separations. Different multivariate statistical tools were applied to the datasets to select common metabolites that may be considered as potential markers based on their significant changes in concentrations after administration of sexual steroids.RESULTS:Eight candidate markers were identified. Moreover, a subset of four markers was also validated by a different laboratory that performed the same analysis using an independent instrumental and elaboration platform, confirming the robustness of the results achieved.CONCLUSION: This study was performed mimicking experimental conditions that may be used during a potential misuse practice. It is promising in the objective of setting up an analytical strategy to highlight sexual steroids abuse in livestock animals.

2018-05-08 | MTBLS436 | MetaboLights

Two experts and a newbie: [18F]PARPi vs [18F]FTT vs [18F]FPyPARP-a comparison of PARP imaging agents.

Project description:PurposeImaging of PARP expression has emerged as valuable strategy for prediction of tumor malignancy. While [18F]PARPi and [18F]FTT are already in clinical translation, both suffer from mainly hepatobiliary clearance hampering their use for detection of abdominal lesions, e.g., liver metastases. Our novel radiotracer [18F]FPyPARP aims to bridge this gap with a higher renal clearance and an easily translatable synthesis route for potential clinical application.MethodsWe developed a less lipophilic variant of [18F]PARPi by exchange of the fluorobenzoyl residue with a fluoronicotinoyl group and automated the radiosyntheses of the three radiotracers. We then conducted a comparative side-by-side study of [18F]PARPi, [18F]FPyPARP, and [18F]FTT in NOD.CB17-Prkdcscid/J mice bearing HCC1937 xenografts to assess xenograft uptake and pharmacokinetics focusing on excretion pathways.ResultsTogether with decent uptake of all three radiotracers in the xenografts (tumor-to-blood ratios 3.41 ± 0.83, 3.99 ± 0.99, and 2.46 ± 0.35, respectively, for [18F]PARPi, [18F]FPyPARP, and [18F]FTT), a partial shift from hepatobiliary to renal clearance of [18F]FPyPARP was observed, whereas [18F]PARPi and [18F]FTT show almost exclusive hepatobiliary clearance.ConclusionThese findings imply that [18F]FPyPARP is an alternative to [18F]PARPi and [18F]FTT for PET imaging of PARP enzymes.

| S-EPMC8803746 | biostudies-literature

bre1 vs WT transcriptional profile

Project description:Relative mRNA abundance of all S. cerevisiae genes was measured in bre1 compared to wild-type.

2009-11-19 | GSE13701 | GEO

Transcriptional analysis of Mycobacterium fortuitum cultures upon hydrogen peroxide treatment using the novel standard rrnA-P1.

Project description:BACKGROUND: The ability of an intracellular pathogen to establish infection depends on the capacity of the organism to survive and replicate inside the host. Mycobacterium fortuitum is a bacteria that contains genes involved in the detoxification of the oxygen reactive species such as those produced by the host during the infection. In this work, we investigate the effects of hydrogen peroxide on the transcription and expression of these genes by developing a real time quantitative PCR technique (qRT-PCR) using the ribosomal promoter region (rrnA-P1) as reference product for quantification of the mRNA levels. RESULTS: M. fortuitum cultures were treated with different hydrogen peroxide concentrations (0.02 to 20 mM) during several periods of time (30 to 120 minutes). The activity of the enzymes KatGII and SodA, and the transcription of corresponding genes were evaluated. The transcriptional regulator furAII gene was also studied. The ribosomal promoter region rrnA-P1 was validated as referential product under the stress conditions checked by qRT-PCR. Minor changes were observed under the conditions tested except when bacteria were incubated in the presence of 20 mM hydrogen peroxide. Under those conditions, the levels of transcription of the three genes under study increased at 30 minutes of treatment. The viability of the bacteria was not influenced under the conditions tested. CONCLUSION: In this work, we have quantified transcriptional responses to stress suggesting that, the opportunistic pathogen M. fortuitum is more resistant and differs in behaviour in the presence of hydrogen peroxide, when compared to the major pathogen Mycobacterium tuberculosis and the saprophyte Mycobacterium smegmatis. Besides, we demonstrate the mycobacterial non-coding region rrnA-P1 to be a suitable reference product in the analysis of qRT-PCR transcriptional data of M. fortuitum.

| S-EPMC2443159 | biostudies-literature

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