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See detailDetection of Human Papillomaviruses in Paraffin-Embedded Biopsies of Cervical Intraepithelial Lesions: Analysis by Immunohistochemistry, in Situ Hybridization, and the Polymerase Chain Reaction
Delvenne, Philippe ULg; Fontaine, Marie-Anne; Delvenne, Catherine ULg et al

in Modern Pathology : An Official Journal of the United States & Canadian Academy of Pathology, Inc (1994), 7(1), 113-119

One hundred and forty biopsies with an initial diagnosis of cervical intraepithelial lesion (CIL) were tested for the presence of human papillomavirus (HPV) by immunohistochemistry and in situ ... [more ▼]

One hundred and forty biopsies with an initial diagnosis of cervical intraepithelial lesion (CIL) were tested for the presence of human papillomavirus (HPV) by immunohistochemistry and in situ hybridization using commercial biotinylated probes (Vira-Type in situ assay; Digene Diagnostics, Silver Spring, MD) or probes labeled with digoxigenin by the random primer technique. Immunohistochemistry was more inferior to the in situ hybridization method, with a detection rate of 14% (20/140) compared to 61% (86/140) for the in situ assay with the digoxigenin-labeled probes. Biotinylated probes proved to be slightly less sensitive than digoxigenin-labeled probes, with a detection rate of 53% (74/140). Although less sensitive in our series taken as a whole, immunohistochemistry was positive in a few cases of CILs negative by in situ hybridization, so that the association of these techniques gave the highest detection rate (66%; 92/140). The CILs that remained negative with these methods (34%; 48/140) were investigated by the polymerase chain reaction (PCR) using consensus primers to determine definitively the presence of HPV in these lesions and were reviewed histologically to assess the diagnosis of CILs. The PCR method increased the detection rate of HPV in our series to 76% (107/140). The diagnosis of CILs was confirmed for all the biopsy specimens positive by PCR (15/15; 100%) and for all the HPV negative tissues with histological features of a high-grade lesions (7/7; 100%).(ABSTRACT TRUNCATED AT 250 WORDS) [less ▲]

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See detailDetection of hypoglycin A in the seeds of sycamore (Acer pseudoplatanus) and box elder (A. negundo) in New Zealand; the toxin associated with cases of equine atypical myopathy.
McKenzie, R. K.; Hill, F. I.; Habyarimana, Jean ULg et al

in New Zealand veterinary journal (2015)

CASE HISTORY AND CLINICAL FINDINGS: During April and May 2014 four horses aged between 5 months and 9 years, located in the Canterbury, Marlborough and Southland regions, presented with a variety of ... [more ▼]

CASE HISTORY AND CLINICAL FINDINGS: During April and May 2014 four horses aged between 5 months and 9 years, located in the Canterbury, Marlborough and Southland regions, presented with a variety of clinical signs including recumbency, stiffness, lethargy, dehydration, depression, and myoglobinuria suggestive of acute muscle damage. Two horses were subjected to euthanasia and two recovered. In all cases seeds of sycamore maple (Acer pseudoplatanus) or box elder (A. negundo) were present in the area where the horse had been grazing. LABORATORY INVESTIGATION: The samaras (seeds) of some Acer spp. may contain hypoglycin A, that has been associated with cases of atypical myopathy in Europe and North America. To determine if hypoglycin A is present in the samaras of Acer spp. in New Zealand, samples were collected from trees throughout the country that were associated with historical and/or current cases of atypical myopathy, and analysed for hypoglycin A. Serum samples from the four cases and four unaffected horses were analysed for the presence of hypoglycin A, profiles of acylcarnitines (the definitive diagnosis for atypical myopathy) and activities of creatine kinase and aspartate aminotransferase. Markedly elevated serum activities of creatine kinase and aspartate aminotransferase, and increased concentrations of selected acylcarnitines were found in the case horses. Hypoglycin A was detected in the serum of those horses but not in the healthy controls. Hypoglycin A was detected in 10/15 samples of samaras from sycamore maple and box elder from throughout New Zealand. DIAGNOSIS: Cases of atypical myopathy were diagnosed on properties where samaras containing hypoglycin A were also found. CLINICAL RELEVANCE: Sycamore and box elder trees in New Zealand are a source of hypoglycin A associated with the development of atypical myopathy. If pastured horses present with clinical and biochemical signs of severe muscle damage then the environment should be checked for the presence of these trees. Horses should be prevented from grazing samaras from Acer spp. in the autumn. [less ▲]

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See detailDetection of illegal growth promoters in biological samples using receptor binding assays
Scippo, Marie-Louise ULg; Van de Weerdt, Cécile ULg; Willemsen, Philippe et al

in Analytica Chimica Acta (2002), 473(1-2), 135-141

In the European Union (EU), the use of growth-promoting substances in meat production is banned. The control of growth promoters, especially steroid hormones, is presently based on expensive and time ... [more ▼]

In the European Union (EU), the use of growth-promoting substances in meat production is banned. The control of growth promoters, especially steroid hormones, is presently based on expensive and time-consuming chromatographic methods of analysis or, sometimes, for screening purposes, on radio- or enzyme-immunoassays, all of which are often too specific to allow effective multi-analyte control. In order to develop rapid and inexpensive multi-analyte detection tests, we proposed the use of hormonal receptors as detection tools. The system described here (radio-receptor assays) is based on a direct bindin g assay of steroid hormones to their respective receptors. Human receptors to estrogens (hERalpha), androgens (hAR), progestagens (hPR) and glucocorticoids (hGR) have been produced by genetic engineering in bacteria or in eucaryotic cells. Binding analyses revealed that the obtained receptor proteins retained a high affinity for their corresponding native ligand. In addition, competition studies continued that each of the four receptors displays a specificity profile for a series of analogs in agreement with the literature. Finally, the stability of these recombinant receptors is sufficient to allow their use in test kits. (C) 2002 Elsevier Science B.V. All rights reserved. [less ▲]

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See detailDetection of incoherent joint state due to inaccurate bone motion estimation
Schwartz, Cédric ULg; Leboeuf, Fabien; Rémy-Néris, Olivier et al

in Computer Methods in Biomechanics & Biomedical Engineering (2013), 16

In biomechanical modeling and motion analysis, the use of personalized data such as bone geometry would provide more accurate and reliable results. However, there is still a limited number of tools used ... [more ▼]

In biomechanical modeling and motion analysis, the use of personalized data such as bone geometry would provide more accurate and reliable results. However, there is still a limited number of tools used to measure the evolution of articular interactions. This paper proposes a coherence index to describe the articular status of contact surfaces during motion. The index relies on a robust estimation of the evolution of surfacic interactions between the joint surfaces. The index is first compared to distance maps on simulated motions. It is then used to compare two motion capture protocols (two different localizations of the markers for scapula tracking). The results show that the index detects progressive modifications in the joint and allows to distinguish the two protocols, in accordance with the literature. In the future, the index could, among other things, be used to compare / improve biomechanical models and motion analysis protocols. [less ▲]

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See detailDetection of influential observations on the error rate based on the generalized k-means clustering procedure
Ruwet, Christel ULg; Haesbroeck, Gentiane ULg

Conference (2009, October 14)

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will ... [more ▼]

Cluster analysis may be performed when one wishes to group similar objects into a given number of clusters. Several algorithms are available in order to construct these clusters. In this talk, focus will be on the generalized k-means algorithm, while the data of interest are assumed to come from an underlying population consisting of a mixture of two groups. Among the outputs of this clustering technique, a classi cation rule is provided in order to classify the objects into one of the clusters. When classi cation is the main objective of the statistical analysis, performance is often measured by means of an error rate ER(F; Fm) where F is the distribution of the training sample used to set up the classi cation rule and Fm (model distribution) is the distribution under which the quality of the rule is assessed (via a test sample). Under contamination, one has to replace the distribution F of the training sample by a contaminated one, F(eps) say (where eps corresponds to the fraction of contamination). In that case, the error rate will be corrupted since it relies on a contaminated rule, while the test sample may still be considered as being distributed according to the model distribution. To measure the robustness of classification based on this clustering proce- dure, influence functions of the error rate may be computed. The idea has already been exploited by Croux et al. (2008) and Croux et al. (2008) in the context of linear and logistic discrimination. In this setup, the contaminated distribution takes the form F(eps)= (1-eps)*Fm + eps*Dx, where Dx is the Dirac distribution putting all its mass at x: After studying the influence function of the error rate of the generalized k- means procedure, which depends on the influence functions of the generalized k-means centers derived by Garcia-Escudero and Gordaliza (1999), a diagnostic tool based on its value will be presented. The aim is to detect observations in the training sample which can be influential for the error rate. [less ▲]

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See detailDetection of interstellar CH and CH(+) towards SN 1987a
Magain, Pierre ULg; Gillet, D.

in Astronomy and Astrophysics (1987), 184

The authors report the detection of interstellar CH and CH[SUP]+[/SUP] towards supernova 1987A. For both of these molecules, one component is detected at a heliocentric velocity of about 280 km/s ... [more ▼]

The authors report the detection of interstellar CH and CH[SUP]+[/SUP] towards supernova 1987A. For both of these molecules, one component is detected at a heliocentric velocity of about 280 km/s, corresponding to material inside the LMC. Some implications of the authors' results with regards to the H[SUB]2[/SUB]-to-dust ratio are briefly discussed. [less ▲]

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See detailDetection of irregularities in the TEC using GPS measurements. Application to a mid-latitude station
Warnant, René ULg

in Acta Geodaetica et Geophysica Hungarica (1998), 33(1), 121-128

Detailed reference viewed: 20 (2 ULg)
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See detailDetection of laminin receptor mRNA in human cancer cell lines and colorectal tissues by in situ hybridization.
Campo, E.; Monteagudo, C.; Castronovo, Vincenzo ULg et al

in American Journal of Pathology (1992), 141(5), 1073-83

The 67-kd high-affinity laminin receptor (67 LR) is a gene product whose expression appears to be associated with the invasive and metastatic phenotype of a variety of human cancer cells. Northern blot ... [more ▼]

The 67-kd high-affinity laminin receptor (67 LR) is a gene product whose expression appears to be associated with the invasive and metastatic phenotype of a variety of human cancer cells. Northern blot hybridization has been routinely used to quantify the level of 67 LR mRNA from total cellular RNA extracts of homogenized tissue specimens or in vitro grown cell populations. This technique is useful to assess the average expression of the 67 LR mRNA of a particular sample but does not provide information about expression in specific cell types nor about heterogeneity of expression from cell to cell. In this study, we analyzed the expression of 67 LR mRNA in four human cancer cell lines with varying degrees of expression of 67 LR protein (renal cancer A-704, breast carcinoma MCF-7/4 and MCF-7/7, and pancreatic cancer Panc-1) using in situ hybridization performed with 67 LR riboprobes. Total cellular RNA was simultaneously extracted from the cell lines and hybridized on Northern blots with a 67 LR cDNA probe to assess the validity of the mRNA detection by in situ hybridization. Sixty-seven LR mRNA expression was higher in Panc-1 and MCF-7/4 cells than in MCF-7/7 and renal carcinoma A-704. There was a direct correlation (R2 = 0.88) between the in situ hybridization analysis and the mRNA levels detected by Northern blot analysis. The in situ hybridization method showed a heterogeneous expression of the 67 LR mRNA in the four cell lines with different subpopulations of cells showing a range from negative to high levels of the message. Sixteen freshly frozen human colorectal tissues (seven adenocarcinomas, five matched normal mucosae, and four adenomas) were also analyzed by in situ hybridization. The 67 LR mRNA was localized in normal and neoplastic epithelial cells. Adenocarcinoma cells showed a 1.6- to 5-fold higher expression (P < 0.02 according to the Wilcoxon-Mann-Whitney test) than did epithelial colonic cells from normal mucosae or adenomas. The signal tended to be stronger in poorly differentiated carcinomas and carcinomas with metastases than in moderately differentiated and nonmetastatic tumors. We conclude that the high expression of 67 LR mRNA in colorectal tumors is due to an increased production by tumor cells. Furthermore, in situ hybridization is an effective method to detect the expression of LR mRNA in cultured cell lines as well as in frozen tissue sections. [less ▲]

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See detailDetection of left ventricular false tendons by two-dimensional echocardiography.
Pierard, Luc ULg; Henrard, L.; Noël, J.F.

in Acta cardiologica (1985), 40(2), 229-35

In a prospective series of 300 consecutive patients referred for a two-dimensional echocardiogram, the presence of left ventricular false tendons was searched. The diagnosis of a false tendon was made ... [more ▼]

In a prospective series of 300 consecutive patients referred for a two-dimensional echocardiogram, the presence of left ventricular false tendons was searched. The diagnosis of a false tendon was made when a clear linear echo was continuously observed within the left ventricular cavity from the septum to the free wall or to a papillary muscle. Using this criterion, a false tendon was detected in 9 of the 300 patients (incidence of 3%), frequently from an apical position. The precise sites of attachment of the false tendons were observed by slight rotation and/or angulation of the transducer from the classic views: the septum and the lateral papillary muscle were the most frequent sites of attachment. Associated congenital heart disease was present in only 1 patient. Most patients had moderate symptoms and a soft musical systolic murmur. Three patients had premature ventricular contractions disappearing with exercise. The possible relations of LV false tendons with a musical murmur, arrhythmia or abnormal LV geometry are discussed. [less ▲]

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See detailDetection of Local and Global Outliers in Spatial Data
Ernst, Marie ULg; Haesbroeck, Gentiane ULg

Conference (2013, July 11)

Spatial data are characterized by statistical units, with known geographical positions, on which non spatial attributes are measured. Two types of atypical observations can be defined: global and/or local ... [more ▼]

Spatial data are characterized by statistical units, with known geographical positions, on which non spatial attributes are measured. Two types of atypical observations can be defined: global and/or local outliers. The attribute values of a global outlier are outlying with respect to the values taken by the majority of the data points while the attribute values of a local outlier are extreme when compared to those of its neighbors. Classical outlier detection techniques may be used to find global outliers as the geographical positions of the data is not taken into account in this search. The detection of local outliers is more complex especially when there are more than one non spatial attribute. In this talk, existing techniques were outlined and two new procedures were defined. The first approach is to adapt an existing technique using in particular a regularized estimator of the covariance matrix. The second technique measures outlyingness using depth function. [less ▲]

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See detailDetection of micro-RNA/gene interactions involved in angiogenesis using machine learning techniques
Huynh-Thu, Vân Anh ULg; Hiard, Samuel ULg; Geurts, Pierre ULg et al

Poster (2007, September)

Motivation: Angiogenesis is the process responsible for the growth of new blood vessels from existing ones. It is also associated with the development of cancer, as tumors need to be irrigated by blood ... [more ▼]

Motivation: Angiogenesis is the process responsible for the growth of new blood vessels from existing ones. It is also associated with the development of cancer, as tumors need to be irrigated by blood vessels for growing. New cancer therapies appear that exploit angiogenesis inhibitors, also called angiostatic agents, to asphyxiate and starve the tumors. Better understanding the regulatory mechanisms that control angiogenesis is thus fundamental. Recently, short non-coding RNA molecules, called micro-RNAs, have been discovered that are involved in post- transcriptional regulation of gene expressions. These molecules bind to RNA messengers following the base pairing rules, preventing them from being translated into proteins and/or tagging them for degradation. The main goal of this work is to use computational approaches to identify micro-RNAs involved in angiogenesis. Method: In order to identify genes involved in angiogenesis, bovine endothelial cells were treated by a known angiogenesis inhibitor [1], prolactin 16K, and their gene expression profile was compared to the profile of untreated cells. The genes were then divided into three classes: up-regulated, down-regulated, and unaffected genes. The 3'UTR regions of these genes were then analysed by machine learning techniques. Different approaches were considered. First, we described each gene by a vector of motif counts in their 3'UTR regions and used machine learning techniques to rank the motifs according to their relevance for separating the genes into the different classes. We considered successively motifs corresponding to the seeds of known micro- RNAs and also all possible motifs of a given length. To rank the motifs, we compared ensemble of decision trees and linear support vector machines. Second, we considered an approach called Segment and Combine that was proposed in [2]. Finally, we also carried out an exhaustive search of all motifs of a given length that satisfy some constraints on specificity and coverage with respect to a given gene category. Results: The ability of the different approaches at identifying relevant motifs was first assessed on genes predicted to be the target of some known miRNAs. In this simple setting, most methods were able to identify the micro-RNA seed. The results obtained on the genes regulated by prolactin 16K are also very encouraging. We were able to identify one micro-RNA already known to play a role in angiogenesis and several motifs are predicted by different approaches as very specific of up- or down-regulation by prolactin 16K. Their relationship with known micro-RNAs is certainly worth exploring. Conclusion: Machine learning approaches are promising techniques for the identification of micro-RNA/gene interactions. Future work will concern the application of the same kind of techniques on promoters for the identification of transcription factor binding sites. [less ▲]

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See detailDetection of moulds growing on building materials by gas sensor arrays and pattern recognition
Kuske, Martyna; Padilla, M.; Romain, Anne-Claude ULg et al

in Technical digest of eurosensors : proceedings (2004)

This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides ... [more ▼]

This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides classification rates on the order of 80-90% for different species. Drift degrades slightyl these values subsequent test four months later. [less ▲]

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See detailDetection of mRNA encoding an antibacterial-metalloprotein (MPII) by in situ hybridization with a cDNA probe generated by PCR in the worm nereis diversicolor
Salzet-Raveillon, B.; Rentier-Delrue, Françoise ULg; Dhainaut, A.

in Cellular and Molecular Biology (1993)

Based on partial amino acid sequence of an antibacterial-metalloprotein (MPII) consisting of a N-terminal fragment (1-33th) and an 43 amino acids long internal fragment, two oligonucleotides primers were ... [more ▼]

Based on partial amino acid sequence of an antibacterial-metalloprotein (MPII) consisting of a N-terminal fragment (1-33th) and an 43 amino acids long internal fragment, two oligonucleotides primers were synthesized and used to generate a cDNA fragment by the PCR method. The specificity of the PCR synthesized 220 bp fragment was verified by hybrid-arrest translation and sequencing. In situ hybridization performed with this cDNA fragment on Nereis diversicolor whole body defined two specific sites of recognition: a cluster of cells floating in the coelom and two types of muscles (perineural and oblique). Finally, the chronological expression of the MPII was postulated. [less ▲]

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See detailDetection of myocardial ischemic memory using 99mTc-fucoidan: preclinical validation
Mikail, N; Louedec, L; Aid, R et al

Conference (2016, June)

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See detailDetection of near-field, low permittivity layers with Ground Penetrating Radar: analytical estimation of the reflection coefficient
Van der Wielen, Audrey; Courard, Luc ULg; Nguyen, Frédéric ULg

in LAMBOT, Sébastien (Ed.) Proceedings of 15th International Conference on ground Penetrating Radar (2014)

The reflection coefficient of GPR waves encountering embedded thin layers is commonly estimated using a plane wave, far field approximation. But when the thin layer is situated in the near field of the ... [more ▼]

The reflection coefficient of GPR waves encountering embedded thin layers is commonly estimated using a plane wave, far field approximation. But when the thin layer is situated in the near field of the antenna, the spherical nature of the waves and the possible propagation of a lateral wave into the layer may have a strong influence on the measured reflected amplitude. In this work, we studied through 2D FDTD simulations the behavior of a radar wave interacting with thin layers of different thicknesses. The snapshots and radargrams showed a large influence of the layer thickness on the wave propagation. For the very thin layers, the evanescent wave plays a major role and the plane wave approximation gives a good estimation of the reflection coefficient. For thicker layers, the specific inclination of each multiple reflection has to be taken into account, as well as the lateral wave propagation. On the basis of these observations, we determined which analytical method should be used for the analytical prediction of the reflection coefficient, as a function of the layer thickness. [less ▲]

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