921 resultados para mRNA expression level


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The Hippo pathway restricts the activity of transcriptional coactivators TAZ (WWTR1) and YAP. TAZ and YAP are reported to be overexpressed in various cancers, however, their prognostic significance in colorectal cancers remains unstudied. The expression levels of TAZ and YAP, and their downstream transcriptional targets, AXL and CTGF, were extracted from two independent colon cancer patient datasets available in the Gene Expression Omnibus database, totaling 522 patients. We found that mRNA expressions of both TAZ and YAP were positively correlated with those of AXL and CTGF (p<0.05). High level mRNA expression of TAZ, AXL or CTGF significantly correlated with shorter survival. Importantly, patients co-overexpressing all 3 genes had a significantly shorter survival time, and combinatorial expression of these 3 genes was an independent predictor for survival. The downstream target genes for TAZ-AXL-CTGF overexpression were identified by Java application MyStats. Interestingly, genes that are associated with colon cancer progression (ANTXR1, EFEMP2, SULF1, TAGLN, VCAN, ZEB1 and ZEB2) were upregulated in patients co-overexpressing TAZ-AXL-CTGF. This TAZ-AXL-CTGF gene expression signature (GES) was then applied to Connectivity Map to identify small molecules that could potentially be utilized to reverse this GES. Of the top 20 small molecules identified by connectivity map, amiloride (a potassium sparing diuretic,) and tretinoin (all-trans retinoic acid) have shown therapeutic promise in inhibition of colon cancer cell growth. Using MyStats, we found that low level expression of either ANO1 or SQLE were associated with a better prognosis in patients who co-overexpressed TAZ-AXL-CTGF, and that ANO1 was an independent predictor of survival together with TAZ-AXL-CTGF. Finally, we confirmed that TAZ regulates Axl, and plays an important role in clonogenicity and non-adherent growth in vitro and tumor formation in vivo. These data suggest that TAZ could be a therapeutic target for the treatment of colon cancer.

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Aims/hypothesis: Matrix metalloproteinases (MMPs) and their natural inhibitors, tissue inhibitor of metalloproteinases (TIMPs), regulate important biological processes including the homeostasis of the extracellular matrix, proteolysis of cell surface proteins, proteinase zymogen activation, angiogenesis and inflammation. Studies have shown that their balance is altered in retinal microvascular tissues in diabetes. Since LDLs modified by oxidation/glycation are implicated in the pathogenesis of diabetic vascular complications, we examined the effects of modified LDL on the gene expression and protein production of MMPs and TIMPs in retinal pericytes. Methods: Quiescent human retinal pericytes were exposed to native LDL (N-LDL), glycated LDL (G-LDL) and heavily oxidised and glycated LDL (HOG-LDL) for 24 h. We studied the expression of the genes encoding MMPs and TIMPs mRNAs by analysis of microarray data and quantitative PCR, and protein levels by immunoblotting and ELISA. Results: Microarray analysis showed that MMP1, MMP2, MMP11, MMP14 and MMP25 and TIMP1, TIMP2, TIMP3 and TIMP4 were expressed in pericytes. Of these, only TIMP3 mRNA showed altered regulation, being expressed at significantly lower levels in response to HOG- vs N-LDL. Quantitative PCR and immunoblotting of cell/matrix proteins confirmed the reduction in TIMP3 mRNA and protein in response to HOG-LDL. In contrast to cellular TIMP3 protein, analysis of secreted TIMP1, TIMP2, MMP1 and collagenase activity indicated no changes in their production in response to modified LDL. Combined treatment with N- and HOG-LDL restored TIMP3 mRNA expression to a level comparable with that after N-LDL alone. Conclusions/interpretation: Among the genes encoding for MMPs and TIMPs expressed in retinal pericytes, TIMP3 is uniquely regulated by HOG-LDL. Reduced TIMP3 expression might contribute to microvascular abnormalities in diabetic retinopathy. © 2007 Springer-Verlag.

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Tumor cells require angiogenesis to deliver nutrients and oxygen to support their fast growth and metabolism. The vascular endothelial growth factor (VEGF) pathway plays an important role in promoting angiogenesis, including tumor-induced angiogenesis. Recent clinical trials have demonstrated the benefit of targeting VEGF in the treatment of glioblastoma. However, the prognostic significance of the expression of VEGFA and its receptors VEGFR1 (FLT1) and VEGFR2 (KDR) are still largely elusive. In the present study, we aimed to investigate the prognostic significance of these three factors, alone or in combination, in glioma patients. Gene mRNA expression was extracted from three independent brain tumor cohorts totaling 242 patients and the association between gene expression and survival was tested. We found that when VEGFA, FLT1 and KDR expressions were considered alone, only VEGFA demonstrated a significant association with patient survival. Patients with high expression of both VEGFA and either receptor had significantly worse survival than patients expressing both factors at a low level. Importantly, we found that those patients whose tumors overexpressed all three genes had a significantly shorter survival compared to those patients with a low level expression of these genes. Our results suggest that a high level expression of VEGFA and its receptors, both FLT1 and KDR, may be required for brain tumor progression, and that these three factors should be considered together as a prognostic indicator for brain tumor patients.

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Introduction: L'homéostasie du cholestérol est indispensable à la synthèse de la testostérone dans le tissu interstitiel et la production de gamètes mâles fertiles dans les tubules séminifères. Les facteurs enzymatiques contribuent au maintien de cet équilibre intracellulaire du cholestérol. L'absence d'un ou de plusieurs enzymes telles que la HMG-CoA réductase, la HSL et l'ACAT-1 a été associée à l'infertilité masculine. Toutefois, les facteurs enzymatiques qui contribuent au maintien de l'équilibre intra-tissulaire du cholestérol n'ont pas été étudiés. Cette étude a pour but de tester l'hypothèse que le maintien des taux de cholestérol compatibles avec la spermatogenèse nécessite une coordination de la fonction intracellulaire des enzymes HMG-CoA réductase, ACAT1 et ACAT2 et la HSL. Méthodes: Nous avons analysé l'expression de l’ARNm et de la protéine de ces enzymes dans les fractions enrichies en tubules séminifères (STf) de vison durant le développement postnatal et le cycle reproductif annuel et dans les fractions enrichies en tissu interstitiel (ITf) et de STf durant le développement postnatal chez la souris. Nous avons développé deux nouvelles techniques pour la mesure de l'activité enzymatique de la HMG-CoA réductase et de celle de l'ACAT1 et ACAT2. En outre, l'immunohistochimie a été utilisée pour localiser les enzymes dans le testicule. Enfin, les souris génétiquement déficientes en HSL, en SR-BI et en CD36 ont été utilisées pour élucider la contribution de la HMG-CoA réductase, l'ACAT1 et l'ACAT2 et la HSL à l'homéostasie du cholestérol. Résultats: 1) HMG-CoA réductase: (Vison) La variation du taux d’expression de l’ARNm de la HMG-CoA réductase était corrélée à celle de l'isoforme de 90 kDa de la protéine HMG-CoA réductase durant le développement postnatal et chez l'adulte durant le cycle reproductif saisonnier. L'activité enzymatique de la HMG-CoA réductase augmentait de façon concomitante avec le taux protéinique pour atteindre son niveau le plus élevé à 240 jours (3.6411e-7 mol/min/μg de protéines) au cours du développement et en Février (1.2132e-6 mol/min/μg de protéines) durant le cycle reproductif chez l’adulte. (Souris), Les niveaux d'expression de l'ARNm et l'activité enzymatique de la HMG-CoA réductase étaient maximales à 42 jours. A l'opposé, le taux protéinique diminuait au cours du développement. 2) HSL: (Vison), l'expression de la protéine de 90 kDa de la HSL était élevée à 180- et 240 jours après la naissance, ainsi qu'en Janvier durant le cycle saisonnier chez l'adulte. L'activité enzymatique de la HSL augmentait durant le développement pour atteindre un pic à 270 jours (36,45 nM/min/μg). Chez l'adulte, l'activité enzymatique de la HSL était maximale en Février. (Souris) Le niveau d’expression de l'ARNm de la HSL augmentait significativement à 21-, 28- et 35 jours après la naissance concomitamment avec le taux d'expression protéinique. L'activité enzymatique de la HSL était maximale à 42 jours suivie d'une baisse significative chez l'adulte. 3) ACAT-1 et ACAT-2: Le présent rapport est le premier à identifier l’expression de l'ACAT-1 et de l'ACAT-2 dans les STf de visons et de souris. (Vison) L'activité enzymatique de l'ACAT-2 était maximale à la complétion du développement à 270 jour (1190.00 CPMB/200 μg de protéines) et en janvier (2643 CPMB/200 μg de protéines) chez l'adulte. En revanche, l'activité enzymatique de l'ACAT-1 piquait à 90 jours et en août respectivement durant le développement et chez l'adulte. (Souris) Les niveaux d'expression de l'ARNm et la protéine de l'ACAT-1 diminuait au cours du développement. Le taux de l'ARNm de l'ACAT-2, à l’opposé du taux protéinique, augmentait au cours du développement. L'activité enzymatique de l'ACAT-1 diminuait au cours du développement tandis que celle de l'ACAT-2 augmentait pour atteindre son niveau maximal à 42 jours. 4) Souris HSL-/ -: Le taux d’expression de l'ARNm et l'activité enzymatique de la HMG-CoA réductase diminuaient significativement dans les STf de souris HSL-/- comparés aux souris HSL+/+. Par contre, les taux de l'ARNm et les niveaux des activités enzymatiques de l'ACAT-1 et de l'ACAT-2 étaient significativement plus élevés dans les STf de souris HSL-/- comparés aux souris HSL+/+ 5) Souris SR-BI-/-: L'expression de l'ARNm et l'activité enzymatique de la HMG-CoA réductase et de l'ACAT-1 étaient plus basses dans les STf de souris SR-BI-/- comparées aux souris SR-BI+/+. A l'opposé, le taux d'expression de l'ARNm et l'activité enzymatique de la HSL étaient augmentées chez les souris SR-BI-/- comparées aux souris SR-BI+/+. 6) Souris CD36-/-: L'expression de l'ARNm et l'activité enzymatique de la HMG-CoA réductase et de l'ACAT-2 étaient significativement plus faibles tandis que celles de la HSL et de l'ACAT-1 étaient inchangées dans les STf de souris CD36-/- comparées aux souris CD36+/+. Conclusion: Nos résultats suggèrent que: 1) L'activité enzymatique de la HMG-CoA réductase et de la HSL sont associées à l'activité spermatogénétique et que ces activités ne seraient pas régulées au niveau transcriptionnel. 2) L'ACAT-1 et de l'ACAT-2 sont exprimées dans des cellules différentes au sein des tubules séminifères, suggérant des fonctions distinctes pour ces deux isoformes: l'estérification du cholestérol libre dans les cellules germinales pour l'ACAT-1 et l'efflux du cholestérol en excès dans les cellules de Sertoli au cours de la spermatogenèse pour l'ACAT-2. 3) La suppression génétique de la HSL diminuait la HMG-CoA réductase et augmentait les deux isoformes de l'ACAT, suggérant que ces enzymes jouent un rôle critique dans le métabolisme du cholestérol intratubulaire. 4) La suppression génétique des transporteurs sélectifs de cholestérol SR-BI et CD36 affecte l'expression (ARNm et protéine) et l'activité des enzymes HMG-CoA réductase, HSL, ACAT-1 et ACAT-2, suggérant l'existence d’un effet compensatoire entre facteurs enzymatiques et non-enzymatiques du métabolisme du cholestérol dans les fractions tubulaires. Ensemble, les résultats de notre étude suggèrent que les enzymes impliquées dans la régulation du cholestérol intratubulaire agissent de concert avec les transporteurs sélectifs de cholestérol dans le but de maintenir l'homéostasie du cholestérol intra-tissulaire du testicule.

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Une résistance aux agents anticancéreux utilisés dans le traitement du cancer du sein est souvent associée à un échec de traitement. Des variations dans le devenir des agents anticancéreux dans l’organisme, sont des facteurs pouvant expliquer des phénomènes de résistance. Notre but était d’évaluer l’impact des isoenzymes du CYP450s, dans le métabolisme local des agents anticancéreux. Notre premier objectif était de valider un gène rapporteur pour nos analyses de PCR en temps réel. Pour ce faire, nous avons criblé l’expression de 6 gènes rapporteurs dans 23 lignées cellulaires. NUP-214 a été démontré comme étant le gène rapporteur le plus stable avec un écart-type de seulement 0.55 Ct. Notre deuxième objectif était de déterminer le niveau d’expression des ARNm de 19 isoformes du CYP450 dans plusieurs lignées cellulaires du cancer du sein. Les ARNm des CYP450s ont démontré une très grande variabilité entre les lignées cellulaires. Les isoformes CYP1B1 et CYP2J2 démontrent l’expression la plus importante pour la majorité des lignées. Notre troisième objectif était d’évaluer la corrélation entre l’expression des isoformes des CYP450s et leur activité métabolique en utilisant les substrats spécifiques du CYP1B1 et 2J2, 7-éthoxyrésorufine et ébastine, respectivement. Une forte corrélation (r2=0.99) fut observée entre l’activité métabolique vis-à-vis l’ébastine et l’expression du CYP2J2. De même, le métabolisme du 7-éthoxyrésorufine était fortement corrélé (r2=0.98) avec l’expression du CYP1B1. En résumé, ces résultats suggèrent que le métabolisme local des agents anticancéreux pourrait significativement moduler le devenir des agents anticancéreux dans l’organisme, et pourrait être ainsi, une source de résistance.

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Computational Biology is the research are that contributes to the analysis of biological data through the development of algorithms which will address significant research problems.The data from molecular biology includes DNA,RNA ,Protein and Gene expression data.Gene Expression Data provides the expression level of genes under different conditions.Gene expression is the process of transcribing the DNA sequence of a gene into mRNA sequences which in turn are later translated into proteins.The number of copies of mRNA produced is called the expression level of a gene.Gene expression data is organized in the form of a matrix. Rows in the matrix represent genes and columns in the matrix represent experimental conditions.Experimental conditions can be different tissue types or time points.Entries in the gene expression matrix are real values.Through the analysis of gene expression data it is possible to determine the behavioral patterns of genes such as similarity of their behavior,nature of their interaction,their respective contribution to the same pathways and so on. Similar expression patterns are exhibited by the genes participating in the same biological process.These patterns have immense relevance and application in bioinformatics and clinical research.Theses patterns are used in the medical domain for aid in more accurate diagnosis,prognosis,treatment planning.drug discovery and protein network analysis.To identify various patterns from gene expression data,data mining techniques are essential.Clustering is an important data mining technique for the analysis of gene expression data.To overcome the problems associated with clustering,biclustering is introduced.Biclustering refers to simultaneous clustering of both rows and columns of a data matrix. Clustering is a global whereas biclustering is a local model.Discovering local expression patterns is essential for identfying many genetic pathways that are not apparent otherwise.It is therefore necessary to move beyond the clustering paradigm towards developing approaches which are capable of discovering local patterns in gene expression data.A biclusters is a submatrix of the gene expression data matrix.The rows and columns in the submatrix need not be contiguous as in the gene expression data matrix.Biclusters are not disjoint.Computation of biclusters is costly because one will have to consider all the combinations of columans and rows in order to find out all the biclusters.The search space for the biclustering problem is 2 m+n where m and n are the number of genes and conditions respectively.Usually m+n is more than 3000.The biclustering problem is NP-hard.Biclustering is a powerful analytical tool for the biologist.The research reported in this thesis addresses the problem of biclustering.Ten algorithms are developed for the identification of coherent biclusters from gene expression data.All these algorithms are making use of a measure called mean squared residue to search for biclusters.The objective here is to identify the biclusters of maximum size with the mean squared residue lower than a given threshold. All these algorithms begin the search from tightly coregulated submatrices called the seeds.These seeds are generated by K-Means clustering algorithm.The algorithms developed can be classified as constraint based,greedy and metaheuristic.Constarint based algorithms uses one or more of the various constaints namely the MSR threshold and the MSR difference threshold.The greedy approach makes a locally optimal choice at each stage with the objective of finding the global optimum.In metaheuristic approaches particle Swarm Optimization(PSO) and variants of Greedy Randomized Adaptive Search Procedure(GRASP) are used for the identification of biclusters.These algorithms are implemented on the Yeast and Lymphoma datasets.Biologically relevant and statistically significant biclusters are identified by all these algorithms which are validated by Gene Ontology database.All these algorithms are compared with some other biclustering algorithms.Algorithms developed in this work overcome some of the problems associated with the already existing algorithms.With the help of some of the algorithms which are developed in this work biclusters with very high row variance,which is higher than the row variance of any other algorithm using mean squared residue, are identified from both Yeast and Lymphoma data sets.Such biclusters which make significant change in the expression level are highly relevant biologically.

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Ovarian follicle development is regulated through endocrine and local mechanisms. Increasing evidence indicates roles for transforming growth factor beta superfamily members, including inhibins and activins. We recently identified divergent expression of mRNAs encoding activin receptors (ActR) and inhibin co-receptor betaglycan in chicken follicles at different stages of maturation. Here, we compare the actions of LH and FSH (0, 1, 10, 100 ng/ml) on levels of mRNA for ActRI, ActRIIA, ActRIIB and betaglycan in chicken granulosa and theca cells (GC and TC) from preovulatory (F1) and prehierarchical (6-8 mm) follicles. The expression of mRNAs for LH-R and FSH-R and production of inhibin A, oestradiol and progesterone were also quantified. FSH decreased ActRIIB and ActRI mRNA levels in 6-8 mm GC, whereas LH increased the mRNA levels. Both LH and FSH enhanced ActRIIA (5- and 8.5-fold) and betaglycan mRNA expression (2- and 3.5-fold) in 6-8 mm GC. In 6-8 mm TC, LH and FSH both increased the betaglycan mRNA level (7- and 3.5-fold respectively) but did not affect ActRI, ActRIIA and ActRIIB transcript levels. In F1 GC, both LH and FSH stimulated ActRI (2- and 2.4-fold), ActRIIB (3.2- and 2.7-fold) and betaglycan (7- and 4-fold) mRNA levels, while ActRIIA mRNA was unaffected. In F1 TC, LH and FSH reduced ActRIIA (35-50%) and increased (4.5- and 7.6-fold) betaglycan mRNA, but had no effect on ActRI and ActRIIB transcript levels. Results support the hypothesis that expression of ActR and betaglycan are differentially regulated by gonadotrophins during follicle maturation in the hen. This may represent an important mechanism for fine-tuning follicle responsiveness to local and systemic activins and inhibins.

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Adult male hooded Lister rats were either fed a diet containing 150 microg/g soya phytoestrogens or a soya-free diet for 18 days. This concentration of phytoestrogens should have been sufficient to occupy the oestrogen-beta, but not the oestrogen-alpha, receptors. Using in situ hybridisation, significant reductions were found in brain-derived neurotrophic factor (BDNF) mRNA expression in the CA3 and CA4 region of the hippocampus and in the cerebral cortex in the rats fed the diet containing phytoestrogens, compared with those on the soya-free diet. No changes in glutamic acid decarboxylase-67 or glial fibrillary acidic protein mRNA were found. This suggests a role for oestrogen-beta receptors in regulating BDNF mRNA expression.

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To date, anticonvulsant effects of the plant cannabinoid, cannabidivarin (CBDV), have been reported in several animal models of seizure. However, these behaviourally observed anticonvulsant effects have not been confirmed at the molecular level. To examine changes to epilepsy-related gene expression following chemical convulsant treatment and their subsequent control by phytocannabinoid administration, we behaviourally evaluated effects of CBDV (400 mg/kg, p.o.) on acute, pentylenetetra- zole (PTZ: 95 mg/kg, i.p.)-induced seizures, quantified expression levels of several epilepsy-related genes (Fos, Casp 3, Ccl3, Ccl4, Npy, Arc, Penk, Camk2a, Bdnf and Egr1) by qPCR using hippocampal, neocortical and prefrontal cortical tissue samples before examining correlations between expression changes and seizure severity. PTZ treatment alone produced generalised seizures (median: 5.00) and significantly increased expression of Fos, Egr1, Arc, Ccl4 and Bdnf. Consistent with previous findings, CBDV significantly decreased PTZ-induced seizure severity (median: 3.25) and increased latency to the first sign of seizure. Furthermore, there were correlations between reductions of seizure severity and mRNA expression of Fos, Egr1, Arc, Ccl4 and Bdnf in the majority of brain regions in the CBDV+PTZ treated group. When CBDV treated animals were grouped into CBDV responders (criterion: seizure severity ≤ 3.25) and non-responders (criterion: seizure severity >3.25), PTZ-induced increases of Fos, Egr1, Arc, Ccl4 and Bdnf expression were suppressed in CBDV re- sponders. These results provide the first molecular confirmation of behaviourally observed effects of the non-psychoactive, anticonvulsant cannabinoid, CBDV, upon chemically-induced seizures and serve to underscore its suitability for clinical development.

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Within target T lymphocytes, human immunodeficiency virus type I (HIV-1) encounters the retroviral restriction factor APOBEC3G (apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like 3G; A3G), which is counteracted by the HIV-1 accessory protein Vif. Vif is encoded by intron-containing viral RNAs that are generated by splicing at 3' splice site (3'ss) A1 but lack splicing at 5'ss D2, which results in the retention of a large downstream intron. Hence, the extents of activation of 3'ss A1 and repression of D2, respectively, determine the levels of vif mRNA and thus the ability to evade A3G-mediated antiviral effects. The use of 3'ss A1 can be enhanced or repressed by splicing regulatory elements that control the recognition of downstream 5'ss D2. Here we show that an intronic G run (G(I2)-1) represses the use of a second 5'ss, termed D2b, that is embedded within intron 2 and, as determined by RNA deep-sequencing analysis, is normally inefficiently used. Mutations of G(I2)-1 and activation of D2b led to the generation of transcripts coding for Gp41 and Rev protein isoforms but primarily led to considerable upregulation of vif mRNA expression. We further demonstrate, however, that higher levels of Vif protein are actually detrimental to viral replication in A3G-expressing T cell lines but not in A3G-deficient cells. These observations suggest that an appropriate ratio of Vif-to-A3G protein levels is required for optimal virus replication and that part of Vif level regulation is effected by the novel G run identified here.

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Background and Objective. Low level laser therapy (LLLT) is a known anti-inflammatory therapy. Herein we studied the effect of LLLT on lung permeability and the IL-1 beta level in LPS-induced pulmonary inflammation. Study Design/Methodology. Rats were divided into 12 groups (n = 7 for each group). Lung permeability was measured by quantifying extravasated albumin concentration in lung homogenate, inflammatory cells influx was determined by myeloperoxidase activity, IL-1P in BAL was determined by ELISA and IL-1P mRNA expression in trachea was evaluated by RT-PCR. The rats were irradiated on the skin over the upper bronchus at the site of tracheotomy after LPS. Results. LLLT attenuated lung permeability. In addition, there was reduced neutrophil influx, myeloperoxidase activity and both IL-1 beta in BAL and IL-1 beta mRNA expression in trachea obtained from animals subjected to LPS-induced inflammation. Conclusion. LLLT reduced the lung permeability by a mechanism in which the IL-1 beta seems to have an important role.

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The aim of this study was to investigate the hormonal regulation of the avian homolog of mammalian uncoupling protein (avUCP) by studying the impact of thyroid hormones and insulin on avUCP mRNA expression in chickens (Gallus gallus). For 3 wk, chicks received either a standard diet (control group), or a standard diet supplemented with triiodothyronine (T-3; T3 group) or with the thyroid gland inhibitor methimazole (MMI group). A fourth group received injections of the deiodinase inhibitor iopanoic acid (IOP group). During the 4th wk of age, all animals received two daily injections of either human insulin or saline solution. The results indicate a twofold overexpression of avUCP mRNA in gastrocnemius muscle of T3 birds and a clear downregulation (-74%) in MMI chickens compared with control chickens. Insulin injections had no significant effect on avUCP mRNA expression in chickens. This study describes for the first time induction of avUCP mRNA expression by the thermogenic hormone T3 in chickens and supports a possible involvement of avUCP in avian thermogenesis.

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Extracellular matrix remodeling occurs during ovarian follicular development, mediated by plasminogen activators (PAs) and PA inhibitors including protease nexin-1 (PN-1). In the present study we measured expression/activity of the PA system in bovine follicles at different stages of development by timed collection of ovaries during the first follicular wave and during the periovulatory period, and in follicles collected from an abattoir. The abundance of mRNA encoding PN-1, tissue-type PA (tPA), urokinase (uPA) and PA inhibitor-1 (PAI-1) were initially upregulated by human chorionic gonadotropin (hCG) in bovine preovulatory follicular wall homogenates. PN-1, PAI-1 and tPA mRNA expression then decreased near the expected time of ovulation, whereas uPA mRNA levels remained high. PN-1 concentration in follicular fluid (FF) decreased and reached the lowest level at the time of ovulation, whereas plasmin activity in FF increased significantly after hCG. Follicles collected from the abattoir were classified as non-atretic, early-atretic or atretic based on FF estradiol and progesterone content: PN-1 protein levels in FF were significantly higher in non-atretic than in atretic follicles, and plasmin activity was correspondingly higher in the atretic follicles. No changes in PN-1 levels in FF were observed during the growth of pre-deviation follicles early in a follicular wave. These results indicate that PN-1 may be involved in the process of atresia in non-ovulatory dominant follicles and the prevention of precocious proteolysis in periovulatory follicles.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)