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Retrieving relevant time-course experiments: a study on Arabidopsis microarrays.

ABSTRACT: Understanding time-course regulation of genes in response to a stimulus is a major concern in current systems biology. The problem is usually approached by computational methods to model the gene behaviour or its networked interactions with the others by a set of latent parameters. The model parameters can be estimated through a meta-analysis of available data obtained from other relevant experiments. The key question here is how to find the relevant experiments which are potentially useful in analysing current data. In this study, the authors address this problem in the context of time-course gene expression experiments from an information retrieval perspective. To this end, they introduce a computational framework that takes a time-course experiment as a query and reports a list of relevant experiments retrieved from a given repository. These retrieved experiments can then be used to associate the environmental factors of query experiment with the findings previously reported. The model is tested using a set of time-course Arabidopsis microarrays. The experimental results show that relevant experiments can be successfully retrieved based on content similarity.

SUBMITTER: Sener DD

PROVIDER: S-EPMC8687350 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Retrieving relevant time-course experiments: a study on Arabidopsis microarrays.

Şener Duygu Dede DD Oğul Hasan H

IET systems biology 20160601 3

Understanding time-course regulation of genes in response to a stimulus is a major concern in current systems biology. The problem is usually approached by computational methods to model the gene behaviour or its networked interactions with the others by a set of latent parameters. The model parameters can be estimated through a meta-analysis of available data obtained from other relevant experiments. The key question here is how to find the relevant experiments which are potentially useful in a ...[more]

PMID: 27187987

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Project description:BACKGROUND: Long-term space travel simulation experiments enabled to discover different aspects of human metabolism such as the complexity of NaCl salt balance. Detailed proteomics data were collected during the Mars105 isolation experiment enabling a deeper insight into the molecular processes involved. RESULTS: We studied the abundance of about two thousand proteins extracted from urine samples of six volunteers collected weekly during a 105-day isolation experiment under controlled dietary conditions including progressive reduction of salt consumption. Machine learning using Self Organizing maps (SOM) in combination with different analysis tools was applied to describe the time trajectories of protein abundance in urine. The method enables a personalized and intuitive view on the physiological state of the volunteers. The abundance of more than one half of the proteins measured clearly changes in the course of the experiment. The trajectory splits roughly into three time ranges, an early (week 1-6), an intermediate (week 7-11) and a late one (week 12-15). Regulatory modes associated with distinct biological processes were identified using previous knowledge by applying enrichment and pathway flow analysis. Early protein activation modes can be related to immune response and inflammatory processes, activation at intermediate times to developmental and proliferative processes and late activations to stress and responses to chemicals. CONCLUSIONS: The protein abundance profiles support previous results about alternative mechanisms of salt storage in an osmotically inactive form. We hypothesize that reduced NaCl consumption of about 6 g/day presumably will reduce or even prevent the activation of inflammatory processes observed in the early time range of isolation. SOM machine learning in combination with analysis methods of class discovery and functional annotation enable the straightforward analysis of complex proteomics data sets generated by means of mass spectrometry.

Project description:TNF time course series of HelA tet off cells cultured in presence or absence of Dox TNF is a pro-inflammatory cytokine that controls expression of inflammatory genetic networks. Although the Nuclear Factor-kB (NF-kB) pathway is crucial for mediating cellular TNF responses, the complete spectrum of NF-kB dependent genes is unknown. In this study, we used a tetracycline-regulated cell line expressing an NF-kB inhibitor to systematically identify NF-kB dependent genes. A microarray data set generated from a time course of TNF stimulation in the presence or absence of NF-kB signaling was analyzed. Methods: Cell culture, treatment and transfection-The human cervical epithelioid carcinoma cell line HeLa expressing tTA (HeLa Tet-Off) pBI-EGFP- IkBa Mut was constructed earlier (23). HeLa Tet-Off were grown in medium containing 90 % Dulbecco’s Modified Eagle’s Medium (DMEM), 10 % heat-inactivated fetal bovine serum (FBS), 4mM L-glutamine, 0.1 mM non-essential amino acids, 1 mM sodium pyruvate, 100 mg/ml G418, 100 units /ml penicillin G sodium, and 100 mg/ml streptomycin sulfate in a humidified atmosphere of 5 % CO2. For TNF stimulation, freshly isolated cells were split into two cultures, one group maintained in Dox, the other without for 7 d, a time at which IkBa Mut expression was maximal. Thereafter, recombinant human (rh) TNFa (25 ng/ml, final concentration) was added directly to the culture medium for indicated times prior to harvest. Oligonucleotide probe based microarray-Hu95Av2 GeneChip (Affymetrix Inc, Santa Clara, CA) containing 12,626 sequenced human genes were hybridized according to the manufacturer’s recommendations and washed using both non-stringent (1 M NaCl, 25 °C) and stringent (1 M NaCl, 50 °C) conditions prior to staining with phycoerythrin streptavidin (10 mg/ml final). Arrays were scanned using a Gene Array Scanner (Hewlett Packard) and analyzed using the Gene Chip Analysis Suite 5 software (Affymetrix Inc). For each gene, 16-20 probe pairs are immobilized as ~25-mer oligonucleotides that hybridize throughout the mRNA; each probe pair is represented as a perfect match (PM) oligonucleotide and a mismatch (MM) oligonucleotide as hybridization control. The the Absolute Call [e.g., the gene is detected (“present”) or not (“absent”)] and the Signal Intensity (measure of mRNA abundance) is determined. Four independent experiments were performed identically including control (0 h ), 1, 3 and 6 h TNF stimulation (25 ng/ml) in the presence or absence of Doxycyline (2 mg/ml) in growth medium. These are indicated as 180, 181, 220 and 266 series, and are considered replicates of each other. Keywords: time-course

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Retrieving relevant time-course experiments: a study on Arabidopsis microarrays.

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Retrieving relevant time-course experiments: a study on Arabidopsis microarrays.

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