Biomedical subjects

Patrick Armengaud

Publications and source records attributed to Patrick Armengaud.

5 recordsLinked to original sources

PubMed2005

Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds.

BACKGROUND: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on dynamic responses rather than a direct comparison of static expression levels, this type of study allows a finer dissection of primary and secondary regulatory effects in the various backgrounds. Usually, results of such experiments are presented in the form of Venn diagrams, which are intuitive and visually appealing, but lack a statistical foundation. RESULTS: Here we introduce Vector Analysis (VA) as a simple, yet principled, approach to comparing expression responses in different experimental backgrounds. VA enables the automatic assignment of genes to response prototypes and provides statistical significance estimates to eliminate spurious response patterns. The application of VA to a real dataset, comparing nutrient starvation responses in wild type and mutant Arabidopsis plants, reveals that consistent patterns of expression behavior are present in the data and are reliably detected by the algorithm. CONCLUSION: Vector analysis is a flexible, easy-to-use technique to compare gene expression patterns in different experimental backgrounds. It compares favorably with the classical Venn diagram approach and can be implemented manually using spreadsheets, such as Excel, or automatically by using the supplied software.

Algorithms↗

PubMed2004

The potassium-dependent transcriptome of Arabidopsis reveals a prominent role of jasmonic acid in nutrient signaling.

Full genome microarrays were used to assess transcriptional responses of Arabidopsis seedlings to changing external supply of the essential macronutrient potassium (K(+)). Rank product statistics and iterative group analysis were employed to identify differentially regulated genes and statistically significant coregulated sets of functionally related genes. The most prominent response was found for genes linked to the phytohormone jasmonic acid (JA). Transcript levels for the JA biosynthetic enzymes lipoxygenase, allene oxide synthase, and allene oxide cyclase were strongly increased during K(+) starvation and quickly decreased after K(+) resupply. A large number of well-known JA responsive genes showed the same expression profile, including genes involved in storage of amino acids (VSP), glucosinolate production (CYP79), polyamine biosynthesis (ADC2), and defense (PDF1.2). Our findings highlight a novel role of JA in nutrient signaling and stress management through a variety of physiological processes such as nutrient storage, recycling, and reallocation. Other highly significant K(+)-responsive genes discovered in our study encoded cell wall proteins (e.g. extensins and arabinogalactans) and ion transporters (e.g. the high-affinity K(+) transporter HAK5 and the nitrate transporter NRT2.1) as well as proteins with a putative role in Ca(2+) signaling (e.g. calmodulins). On the basis of our results, we propose candidate genes involved in K(+) perception and signaling as well as a network of molecular processes underlying plant adaptation to K(+) deficiency.

Arabidopsis↗

PubMed2004

Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments.

One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. This task is complicated by the noisiness of the data and the large number of genes that are examined simultaneously. Here, we present a novel technique for identifying differentially expressed genes that does not originate from a sophisticated statistical model but rather from an analysis of biological reasoning. The new technique, which is based on calculating rank products (RP) from replicate experiments, is fast and simple. At the same time, it provides a straightforward and statistically stringent way to determine the significance level for each gene and allows for the flexible control of the false-detection rate and familywise error rate in the multiple testing situation of a microarray experiment. We use the RP technique on three biological data sets and show that in each case it performs more reliably and consistently than the non-parametric t-test variant implemented in Tusher et al.'s significance analysis of microarrays (SAM). We also show that the RP results are reliable in highly noisy data. An analysis of the physiological function of the identified genes indicates that the RP approach is powerful for identifying biologically relevant expression changes. In addition, using RP can lead to a sharp reduction in the number of replicate experiments needed to obtain reproducible results.

Acute Disease↗

PubMed2004

Inappropriate annotation of a key defence marker in Arabidopsis: will the real PR-1 please stand up?

PR-1 has been extensively used as a marker for salicylic acid (SA)-mediated defence and systemic and local acquired resistance. The Arabidopsis Genome Project annotates At2g19990 as PR-1. This gene is also identified as PR-1 in two "full genome" Arabidopsis microarrays, and TAIR cites approximately 60 articles to describe its patterns of expression. However, most of these citations are incorrect; the probes used were not At2g19990, but a homologous gene At2g14610, which is annotated as "PR-1-like". Because of the potential for confusion, we analyzed the expression of both genes in Arabidopsis thaliana (L.) Heynh. At2g14610 (PR-1-like) showed the archetypal patterns of SA-responsive expression: mRNA levels increased following SA-treatment, inoculation with an avirulent (but not a virulent) strain of Pseudomonas syringae, and in wild-type (but not NahG) Arabidopsis infected with cauliflower mosaic virus (CaMV). In cpr5 mutants it was expressed constitutively. In contrast, expression of At2g19990 (annotated as PR-1) was detectable in neither SA-treated Col-0 nor in cpr5. Infection by virulent and avirulent isolates of P. syringae up-regulated expression, but to a similar level, and infection by CaMV induced a modest increase in expression in both the wild type and NahG. At2g19990, although pathogen responsive, does not show the SA-dependent patterns of expression expected from a member of the PR-1 regulon, and its annotation as " PR-1" is inappropriate. The annotations should identify At2g14610 as the authentic PR-1.

Arabidopsis↗

PubMed2004

Transcriptional regulation of proline biosynthesis in Medicago truncatula reveals developmental and environmental specific features.

The model legume plant Medicago truncatula accumulates free proline in response to hyperosmotic stress as do many other organisms. In order to analyse the transcriptional regulation of proline biosynthesis in M. truncatula, three cDNAs encoding Delta(1)-pyrroline-5-carboxylate synthetase (P5CS1, P5CS2; EC not assigned) and ornithine delta-aminotransferase (OAT; EC 2.6.1.13) were isolated. The cDNAs shared high homologies with the other plant sequences and genomic organization analysis indicated the presence of two P5CS and two putative OAT genes. The two P5CS genes showed differing transcript level regulation according to organs and in response to osmotic stress. MtP5CS1 steady-state transcript levels in the different plant organs were correlated with proline levels but transcript abundance was unaffected by osmotic stresses. MtP5CS2 transcripts were poorly detected in all organs but were strongly accumulated in shoots of salt-stressed plants. We suggest a specific of MtP5CS1 and MtP5CS2 as a housekeeping product and as a stress specific isoform, respectively. MtOAT transcripts were predominantly detected in roots and shoots of unstressed plants. Salt-stress treatment induced the accumulation of MtOAT transcripts in the whole plant whatever the developmental stage. In salt-stressed roots, a positive correlation was found between proline and MtOAT transcript accumulation. These results suggest that both ornithine and glutamate biosynthesis pathways contribute to the osmotic stress-induced proline accumulation in M. truncatula.

Journal Article↗