Biomedical subjects

Rasmus Larsen

Publications and source records attributed to Rasmus Larsen.

10 recordsLinked to original sources

PubMed2006

Time-resolved determination of the CcpA regulon of Lactococcus lactis subsp. cremoris MG1363.

Carbon catabolite control protein A (CcpA) is the main regulator involved in carbon catabolite repression in gram-positive bacteria. Time series gene expression analyses of Lactococcus lactis MG1363 and L. lactis MG1363DeltaccpA using DNA microarrays were used to define the CcpA regulon of L. lactis. Based on a comparison of the transcriptome data with putative CcpA binding motifs (cre sites) in promoter sequences in the genome of L. lactis, 82 direct targets of CcpA were predicted. The main differences in time-dependent expression of CcpA-regulated genes were differences between the exponential and transition growth phases. Large effects were observed for carbon and nitrogen metabolic genes in the exponential growth phase. Effects on nucleotide metabolism genes were observed primarily in the transition phase. Analysis of the positions of putative cre sites revealed that there is a link between either repression or activation and the location of the cre site within the promoter region. Activation was observed when putative cre sites were located upstream of the hexameric -35 sequence at an average position of -56.5 or further upstream with decrements of 10.5 bp. Repression was observed when the cre site was located in or downstream of putative -35 and -10 sequences. The highest level of repression was observed when the cre site was present at a defined side of the DNA helix relative to the canonical -10 sequence. Gel retardation experiments, Northern blotting, and enzyme assays showed that CcpA represses its own expression and activates the expression of the divergently oriented prolidase-encoding pepQ gene, which constitutes a link between regulation of carbon metabolism and regulation of nitrogen metabolism.

Bacterial Proteins↗

PubMed2006

High-level heterologous production and functional expression of the sec-dependent enterocin P from Enterococcus faecium P13 in Lactococcus lactis.

Enterocin P (EntP), a sec-dependent bacteriocin from Enterococcus faecium P13, was produced by Lactococcus lactis. The EntP structural gene (entP) with or without the EntP immunity gene (entiP) was cloned in (1), plasmid pMG36c under control of the lactococcal constitutive promoter P32, (2) in plasmid pNG8048e under control of the inducible PnisA promoter, and (3) in the integration vector pINT29. Introduction of the recombinant vectors in L. lactis resulted in production of biologically active EntP in the supernatants of L. lactis subsp. lactis IL1403 and L. lactis subsp. cremoris NZ9000, and the coproduction of nisin A and EntP in L. lactis subsp. lactis DPC5598. The level of production of EntP, detected and quantified by specific anti-EntP antibodies and a noncompetitive indirect enzyme-linked immunosorbent assay, by the recombinant L. lactis strains depended on the host strain, the expression vector, and the presence of the entiP gene in the constructs of the recombinant L. lactis strains. The highest amount of EntP was produced with derivatives containing entP and entiP, for both L. lactis IL1403 and L. lactis NZ9000. These derivatives produced up to five- to six-fold more EntP than E. faecium P13. Mass spectrometry analysis revealed that EntP purified from L. lactis IL1403 (pJP214) has a molecular mass identical to that purified from E. faecium P13, suggesting that the synthesis, processing, and secretion of EntP progresses efficiently in recombinant L. lactis hosts.

Bacterial Proteins↗

PubMed2006

GlnR-mediated regulation of nitrogen metabolism in Lactococcus lactis.

We show that the nitrogen regulatory protein GlnR of Lactococcus lactis represses transcription of the amtB-glnK, glnRA, and glnPQ operons. This likely occurs through a conserved DNA motif, 5'-TGTNA-7N-TNACAT-3', and takes place in response to extracellular glutamine and ammonium. GlnR-independent repression of amtB-glnK is mediated by the pleiotropic nitrogen regulator CodY.

Bacterial Proteins↗

PubMed2005

A generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray data.

BACKGROUND: In research laboratories using DNA-microarrays, usually a number of researchers perform experiments, each generating possible sources of error. There is a need for a quick and robust method to assess data quality and sources of errors in DNA-microarray experiments. To this end, a novel and cost-effective validation scheme was devised, implemented, and employed. RESULTS: A number of validation experiments were performed on Lactococcus lactis IL1403 amplicon-based DNA-microarrays. Using the validation scheme and ANOVA, the factors contributing to the variance in normalized DNA-microarray data were estimated. Day-to-day as well as experimenter-dependent variances were shown to contribute strongly to the variance, while dye and culturing had a relatively modest contribution to the variance. CONCLUSION: Even in cases where 90% of the data were kept for analysis and the experiments were performed under challenging conditions (e.g. on different days), the CV was at an acceptable 25%. Clustering experiments showed that trends can be reliably detected also from genes with very low expression levels. The validation scheme thus allows determining conditions that could be improved to yield even higher DNA-microarray data quality.

Analysis of Variance↗

PubMed2005

Interaction between ArgR and AhrC controls regulation of arginine metabolism in Lactococcus lactis.

The expression of arginine metabolism in Lactococcus lactis is controlled by the two homologous transcriptional regulators ArgR and AhrC. Genome sequence analyses have shown that the occurrence of multiple homologues of the ArgR family of transcriptional regulators is a common feature of many low-G + C Gram-positive bacteria. Detailed studies of ArgR type regulators have previously only been carried out in bacteria containing single regulators. Here, we present a first characterization of the two L. lactis arginine regulators by means of gel retardation and DNase I footprinting. ArgR of L. lactis was shown to bind to the promoter regions of both the arginine biosynthetic argCJDBF operon and the arginine catabolic arcABD1C1C2TD2yvaD operon, but in an arginine-independent manner. Surprisingly, AhrC alone was unable to bind to DNA. Arginine-dependent DNA binding was obtained by mixing the two regulators in gel retardation assays. With both regulators present, the addition of arginine led to increased binding of ArgR-AhrC to the biosynthetic argC promoter but also to diminished binding to the catabolic arcA promoter. Footprinting showed ArgR-AhrC protection of regions containing ARG box operator sequences preceding argC. In the absence of AhrC, ArgR protected sites in the arcA promoter region with similarity to ARG box half-sites, here called ARC boxes. We propose a model for repression of arginine biosynthesis and activation of catabolism by anti-repression, involving arginine-dependent interaction between the two L. lactis regulator proteins, ArgR and AhrC.

Arginine↗

PubMed2005

Probing direct interactions between CodY and the oppD promoter of Lactococcus lactis.

CodY of Lactococcus lactis MG1363 is a transcriptional regulator that represses the expression of several genes encoding proteins of the proteolytic system. These genes include pepN, pepC, opp-pepO1, and probably prtPM, pepX, and pepDA2, since the expression of the latter three genes relative to nitrogen availability is similar to that of the former. By means of in vitro DNA binding assays and DNase I footprinting techniques, we demonstrate that L. lactis CodY interacts directly with a region upstream of the promoter of its major target known so far, the opp system. Our results indicate that multiple molecules of CodY interact with this promoter and that the amount of bound CodY molecules is affected by the presence of branched-chain amino acids and not by GTP. Addition of these amino acids strongly affects the extent of the region protected by CodY in DNase I footprints. Random and site-directed mutagenesis of the upstream region of oppD yielded variants that were derepressed in a medium with an excess of nitrogen sources. Binding studies revealed the importance of specific bases in the promoter region required for recognition by CodY.

Amino Acids, Branched-Chain↗

PubMed2004

ArgR and AhrC are both required for regulation of arginine metabolism in Lactococcus lactis.

The DNA binding proteins ArgR and AhrC are essential for regulation of arginine metabolism in Escherichia coli and Bacillus subtilis, respectively. A unique property of these regulators is that they form hexameric protein complexes, mediating repression of arginine biosynthetic pathways as well as activation of arginine catabolic pathways. The gltS-argE operon of Lactococcus lactis encodes a putative glutamate or arginine transport protein and acetylornithine deacetylase, which catalyzes an important step in the arginine biosynthesis pathway. By random integration knockout screening we found that derepression mutants had ISS1 integrations in, among others, argR and ahrC. Single as well as double regulator deletion mutants were constructed from Lactococcus lactis subsp. cremoris MG1363. The three arginine biosynthetic operons argCJDBF, argGH, and gltS-argE were shown to be repressed by the products of argR and ahrC. Furthermore, the arginine catabolic arcABD1C1C2TD2 operon was activated by the product of ahrC but not by that of argR. Expression from the promoter of the argCJDBF operon reached similar levels in the single mutants and in the double mutant, suggesting that the regulators are interdependent and not able to complement each other. At the same time they also appear to have different functions, as only AhrC is involved in activation of arginine catabolism. This is the first study where two homologous arginine regulators are shown to be involved in arginine regulation in a prokaryote, representing an unusual mechanism of regulation.

Amino Acid Sequence↗

PubMed2003

Growth modeling of human mandibles using non-Euclidean metrics.

From a set of 31 three-dimensional computed tomography (CT) scans we model the temporal shape and size of the human mandible for analysis, simulation, and prediction purposes. Each anatomical structure is represented using 14851 semi-landmarks, and mapped into Procrustes tangent space. Exploratory subspace analyses are performed leading to linear models of mandible shape evolution in Procrustes space. The traditional variance analysis results in a one-dimensional growth model. However, working in a non-Euclidean metric results in a multimodal model with uncorrelated modes of biological variation related to independent component analysis. The applied non-Euclidean metric is governed by the correlation structure of the estimated noise in the data. The generative models are compared, and evaluated on the basis of a cross validation study. The new non-Euclidean analysis is completely data driven. It not only gives comparable results w.r.t. previous studies of the mean modeling error, but seems to better correlate to growth, and in addition provides the data analyst with alternative hypothesis of plausible shape evolution; hence aiding in the understanding of cranio-facial growth.

Child↗

PubMed2003

Statistical shape analysis using non-Euclidean metrics.

The contribution of this paper is the adaptation of data driven methods for non-Euclidean metric decomposition of tangent space shape coordinates. The basic idea is to extend principal component analysis (PCA) to take into account the noise variance at different landmarks and at different shapes. We show examples where these non-Euclidean metric methods allow for easier interpretation by decomposition into meaningful modes of variation. The extensions to PCA are based on adaptation of maximum autocorrelation factors and the minimum noise fraction transform to shape decomposition. A common basis of the methods applied is the assessment of the annotation noise variance at individual landmarks. These assessments are based on local models or repeated annotations by independent operators. We show that the Molgedey-Schuster independent component analysis is equivalent to the maximum autocorrelation factors. Finally, the different subspace methods are compared using a probabilistic formulation based on their ability to represent the data.

Algorithms↗

PubMed2003

FAME--a flexible appearance modeling environment.

Combined modeling of pixel intensities and shape has proven to be a very robust and widely applicable approach to interpret images. As such the active appearance model (AAM) framework has been applied to a wide variety of problems within medical image analysis. This paper summarizes AAM applications within medicine and describes a public domain implementation, namely the flexible appearance modeling environment (FAME). We give guidelines for the use of this research platform, and show that the optimization techniques used renders it applicable to interactive medical applications. To increase performance and make models generalize better, we apply parallel analysis to obtain automatic and objective model truncation. Further, two different AAM training methods are compared along with a reference case study carried out on cross-sectional short-axis cardiac magnetic resonance images and face images. Source code and annotated data sets needed to reproduce the results are put in the public domain for further investigation.

Algorithms↗