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BOR - Papers in Press, published online ahead of print February 5, 2003.
Biol Reprod 2003, 10.1095/biolreprod.102.013763
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BIOLOGY OF REPRODUCTION 68, 2289–2296 (2003)
DOI: 10.1095/biolreprod.102.013763
© 2003 by the Society for the Study of Reproduction, Inc.


Pregnancy

A Functional Genomic Study to Identify Differential Gene Expression in the Preterm and Term Human Myometrium1

G. Charpigny3, M.-J. Leroy4, M. Breuiller-Fouché4, Z. Tanfin5, S. Mhaouty-Kodja6, Ph. Robin5, D. Leiber5, J. Cohen-Tannoudji6, D. Cabrol7, C. Barberis8, and G. Germain2,3

Physiologie Animale, INRA,3 Centre de Recherches de Jouy, 78352 Jouy en Josas cedex, France INSERM U 361,4 75014 Paris, France CNRS, UMR 8619,5 Université Paris Sud, 91405, Orsay cedex, France CNRS, UMR 7079,6 Université Pierre et Marie Curie 4, 75252 Paris cedex 05, France Maternité Port-Royal, Hopital-Cochin,7 Université René Descartes, 75014 Paris, France INSERM U469,8 34094 Montpellier Cedex 5, France


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The mechanisms that lead to the onset of human parturition are still unknown, although selected critical factors have been identified. To investigate the changes in myometrial gene expression associated with parturition, we used two macroarrays each containing 1176 different complementary human cDNA clones. Methods involving hierarchical clustering and conventional statistical analysis allowed us to generate a profile of genes expression at three stages of late pregnancy: preterm (29 wk amenorrhea); full term, not in labor (38 wk amenorrhea); and full term in labor (39 wk amenorrhea). Only 4% of the genes investigated were differentially expressed between the preterm and term groups (P < 0.05). These genes could be clustered as groups of either down-regulated or up-regulated transcripts. The changes in transcript abundance were particularly marked between the preterm and term stages of gestation, whereas the differences between term not in labor and term in labor were less pronounced. The parturition was characterized by a massive down-regulation of a large panel of developmental, cell adhesion molecule and proliferation-related genes, along with the up-regulation of inflammatory, contraction and apoptosis associated genes. We propose that the mechanisms of parturition consist primarily in the arrest of the processes of myometrial development, a step that might be essential to allow the uterus to recover appropriate contractile function before delivery.

female reproductive tract, gene regulation, parturition, pregnancy, uterus


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The physiology and pathology of human labor are far from being fully understood. The quiescence of the uterine smooth muscle, the myometrium, is essential to support and accommodate fetal growth, whereas the onset of regular strong contractions is the essence of parturition. Conventional approaches to investigate the cellular and molecular bases of these developmental changes have focused on testing the regulation of selected critical factors believed to play a role in the onset of labor. The silencing of the myometrial contractile function is conditioned by a predominant functional cAMP/cGMP system, whereas contractions are under the control of agonist-induced calcium mobilization via the phospholipase C pathway. Gestational-related modifications of membrane receptors (adrenergic, prostaglandin, endothelin-1, oxytocin, muscarinic), as well as changes in their associated kinases (GRK), cognate G proteins (Gi, Gs, Go, Gq), and effectors (cAMP-phosphodiesterases, adenylyl cyclases, phospholipase ß, cyclooxygenase-2, inositol 1,4,5-triphosphate receptors, mitogen-activated protein kinase, protein kinase C), have been detected (for a review, see Lopez Bernal and TambyRaja [1]). Modulation of the immune-inflammatory mechanisms, especially the balance between Th1 (pro-inflammatory)/Th2 (anti-inflammatory) cytokine production, has also been described at the time of parturition, and a link between TNF{alpha}-IL-1ß and premature human childbirth was proposed [2].

During pregnancy, the uterus is also the site of intense cell proliferation and growth controlled by many growth factors, G protein-coupled receptor agonists, and steroid hormones. The use of myometrial cells in primary culture has demonstrated that the signal transduction pathways controlling proliferation involve many of the molecular partners required in the regulation of contraction during parturition [36]. This suggests that subtle tuning of the expression of these partners throughout pregnancy may steer the signaling pathways toward the appropriate physiological response.

However, change in gene expression has been assessed for a limited number of genes during pregnancy. The development of gene array technology offers the opportunity to identify and to monitor simultaneous variations in the gene expression of multiple transcripts. This strategy generates a global view of molecular mechanisms underlying the regulation of physiological or pathological events. In the context of pregnancy, such an approach has been used recently to identify transcripts specifically related to bacterially induced preterm parturition in mice [7], to generate differential expression profiles for inflammatory genes in human gestational membranes [8], and to identify a novel panel of genes potentially involved in human uterine contraction during pregnancy and labor [9].

In the present study, we extended the analysis to a more important number of the genes involved in different myometrial functions that may orchestrate pregnancy and parturition. We used two DNA macroarrays, each containing 1176 different human complementary DNAs (cDNA), to investigate myometrial modifications in gene expression in tissues sampled at three late stages of human pregnancy: preterm, term not in labor, and term in labor.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Tissue Collection

Myometrial tissue (~1 g) was taken from the upper edge of the hysterotomy during Caesarean section, in the transverse lower uterine segment. The Hospital Ethics Committee approved the study. All patients gave their informed consent in writing. Patients ranged from 28 and 32 (median = 30) yr. The data were analyzed for three groups of four women: at term (range 38.5–40 wk gestation) in women who were in labor and those who were not and preterm (28–31.5 wk gestation) (Table 1). The indication for Caesarean section in the non-labor group was a previous Caesarean delivery. No patients were on medication. The groups not in labor showed no sign of uterine contractions or cervical changes, and the fetal heart rate anomalies observed in two patients were unrelated to uterine activity. Myometrial tissue from the women in labor was collected during emergency Caesarean section. All the patients in this group had spontaneous regular uterine contractions (five times/10 min) with associated cervical dilatation (>4 cm). None of the women received any therapeutic intervention for their labor. Myometrial tissue from the outer uterine wall at an extraplacental site was immediately removed by sharp dissection, leaving behind the decidua, and then carefully minced with fine scissors and rapidly snap frozen in liquid nitrogen. Tissues were stored at -80°C until used.


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TABLE 1. Patients included in the study

RNA Isolation, Probe Labeling, and Hybridization

Total RNA was extracted by the phenol/chloroform method [10], and subsequent steps leading to hybridization were according to Clontech guidelines. Briefly, RNA were precipitated with isopropanol and purified by RNase-free DNAse I (Clontech Laboratories Inc., Palo Alto, CA). The RNA quantity was determined by absorbance at 260 nm. Each RNA extract was also analyzed by 0.8% agarose gel electrophoresis and ethidium bromide staining to estimate its integrity.

The mRNA of each sample was converted to cDNA using Atlas cDNA synthesis protocol (Atlas Pure Total RNA Labeling System kit, Clontech), in the presence of dNTPs and 50 µCi alpha 33P-labeled dATP (Amersham, Les Ulis, France) (specific activity 3000 Ci/mmol). The radioactive cDNA probes were purified using NucleoSpin Extraction Spin column (Clontech) to remove unincorporated nucleotides and reagents. Probes synthesized using this procedure were 3.8 x 106 (±1.5 x 106) cpm/20 µg retrotranscribed RNA and 5.9 x 106 (±1.7 x 106) cpm/20 µg retrotranscribed RNA for Atlas 1.2 and Atlas 1.2II array, respectively.

Complementary DNA probes were hybridized to Atlas Human 1.2 (#7850-1) and Atlas Human 1.2II (#7852-1) array nylon membranes (Clontech). These membrane arrays contained two sets of known genes (1176 in each), with almost no overlap in their content (list of genes available at http://atlasinfo.clontech.com/genelists/hu1.2.xls and http://atlasinfo.clontech.com/genelists/hu1.2II.xls). Prehybridization and hybridization were performed according to the protocol described by the manufacturer. The hybridization solutions were discarded, and the membranes were then washed four times for 30 min at 68°C with 2x saline-sodium citrate (SSC) containing 1% SDS and then once with 0.1x SSC containing 0.5% SDS. The membranes were finally washed in 2x SSC at room temperature and wrapped in a Saran film. They were exposed to phosphor imaging screens for 7 days, and then the signals were scanned with a phosphor imager (Fuji-film FLA 3000, Paris, France). The raw data obtained after phosphor imaging are accessible on-line at http://data.jouy.inra.fr/unites/bdr/charpigny-germain.

Analysis of Array Data

The hybridization images of each array were imported into Advanced Image Data Analyzer software (Raytest, Strasbourg, France) for densitometry measurement of spot intensity, global, and local background levels. Local background was subtracted from the raw data for all genes. To minimize experimental variations and make it possible to compare the experiments to each other, we normalized our data. The raw value of a specific gene was divided by the sum of spot intensities for the membrane. This was calculated for all replicates to generate what is referred to as the relative intensity of a specific gene.

Data were filtered by one-way analysis of variance (ANOVA) applied to the replicates in the three groups for each gene on the array membrane. Only the genes found to be significant by the ANOVA analysis (P < 0.10 considered to be significant) were kept for the clustering analysis. Before clustering, the normalized medians of values of the genes were log 2 transformed. Average-linkage hierarchical clustering of an uncentered Pearson correlation similarity matrix was applied, using the CLUSTER program designed by Eisen et al. [11], and the results were displayed by using TREEVIEW (software available at http://genome-www4.stanford.edu/MicroArray/SMD/restech.html).

In the final second step of analysis, the data points from relative intensity values were averaged for quadruplicates in each group, and any nonreproducible data (based on ANOVA and ad hoc post Student t-test, P < 0.05 considered to be significant) were discarded. In all the data shown in Tables 2–8, only changes in RNA levels by more than twice the value for the preterm group were observed.


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TABLE 2. Characterized genes differentially down-regulated between the preterm and term-not-in-labor groups (growth-differentiation-oncogenesis groups, 26 genes)

Identity of genes plotted on each array membrane was verified by using an independent RT-PCR protocol [12]. Eight genes were selected at random among the very weakly, moderately, and highly expressed transcripts. In all cases, sequencing of PCR cDNA products revealed a sequence and size corresponding to that of the expected gene (data not shown).

Genes are referred to throughout the text according to both their GenBank accession number and their HUGO gene nomenclature (The Human Genome Organization, http://www.gene.ucl.ac.uk/hugo).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
DNA Array Hybridization

We established the expression profile of 2 x 1176 genes in human myometrial tissues at three stages of gestation: preterm, full term not in labor, and full term in labor. Figure 1 describes, according to their level of expression, the distribution of the set of genes revealed on the type 1.2II macroarray membranes. For most of the genes, the level of relative intensity fell in the 0.1–10/10 000 range of the total intensity of the hybridization signal computed for each membrane. The distribution of the expression levels in the preterm group was significantly different from that in the other two groups. In contrast, the distribution profile was almost the same in the two term groups (in labor and not in labor).



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FIG. 1. Distribution, for the three groups of patients, of the relative intensities of spots detected on Clontech array membranes type 1.2II. The preterm patient group is significantly (P < 0.05) different from the two term patient groups. Ordinates: classes of spot relative intensities (log scale) expressed as 1/10 000 of the sum of the hybridization signal in their corresponding array membrane

Hierarchical clustering analysis was applied to the populations of genes that exhibited significant differential expression in the three groups of patients (ANOVA, P < 0.10). The results illustrated in Figure 2 showed that the expression of genes was different and was either up-regulated or down-regulated, depending on the clinical status of the patients. Data obtained with type 1.2 membranes displayed two clusters of genes, which were almost equivalent in size, and showed opposite patterns of change from preterm to term (Fig. 2A). The difference between term in labor and term not in labor was less important. Interestingly, double hierarchical cluster analysis based on both the gene axis and the patient axis allowed the CLUSTER software to reconstruct the experimental groups of preterm patients and term-in-labor patients according to their exact clinical status (Fig. 2B). Similar results were obtained for the hybridizations on the type 1.2II membranes (data not shown).



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FIG. 2. Clontech array membranes type 1.2, genes referenced by their GenBank accession number. Pictures obtained after data clustering with the CLUSTER program. A) The clustering process was applied to patient groups defined by their known clinical status (i.e., clustering along the gene axis only). The calculation reveals clusters of genes, which were either down-regulated (green) or up-regulated (red). Black or gray squares denote either missing or steady-state values. B) the same clustering process was applied along both gene and patient axes (i.e., deliberately ignoring the clinical status of patients). The program was able to reconstruct only two experimental groups of patients (p, tw) according to their true clinical status as shown on the dendrogram. Abbreviations: p: preterm patients, t: term-not-in-labor patients, tw: term-in-labor patients. To clarify the figure, dendrograms depicting cluster nodes along the gene axes have been omitted

The second step of the analysis consisted in examining the differential expression of every gene on the basis of a classical ANOVA analysis, followed by a post Student t-test at risk levels of P < 0.05. It is worth noticing that only 4% of the genes investigated displayed significantly different expression in the preterm and term groups (with or without labor). The populations of genes statistically selected from 1.2 and 1.2II membranes are shown in Tables 2–8.

Genes Down-Regulated in Patients at Term Not in Labor

A first set of 50 genes, of which the expression was significantly lower in patients at term not in labor than in preterm patients, was selected (Tables 2 and 3). These genes were assigned to four groups according to their physiological function and their known target cells, determined by consulting the OMIM database (Online Mendelian Inheritance in MAN, OMIM [13]). The main group contains 52% of genes, involved in the control of cell proliferation and differentiation in a variety of tissues (Table 2). This group also includes six genes related to cell populations of the immune system. Most of the latter group of genes displayed a decrease by more than 10-fold.


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TABLE 3. Characterized genes down-regulated between the preterm and term-not-in-labor groups (smooth muscle, autonomic nervous system, miscellaneous, and integrins groups, 24 genes)

Marked down-regulation was observed in a second group of 10 genes that are potentially involved in the contractile function of the smooth muscle and the uterine autonomic nervous system (Table 3). In this group, it should be pointed out that G protein-coupled receptors (GPCRs) and their associated kinases predominate.

We combined the remaining 13 down-regulated transcripts in a group named "miscellaneous" (Table 3), containing genes to which it was very difficult to assign any putative function in the myometrium or because their expression was totally unexpected in this tissue.

Genes Down-Regulated at Term in Labor

Tables 4 and 5 list the 27 genes that were significantly lower in subjects at full term in labor than preterm. The same groups of genes specified previously were down-regulated, with a predominance of those mediating cell proliferation, oncogenesis, and immunomodulation. It is interesting to note that the data in Tables 4 and 5 show a concomitant down-regulation of the integrins, different PLC isoforms, transcriptional factors, and oncogenes, which are required for harmonious smooth muscle cell growth. We also observed a marked decrease of the GABA A receptor, which is involved in uterine relaxation.


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TABLE 4. Characterized genes down-regulated between the preterm and term-in-labor groups (growth-differentiation-oncogenesis and integrins groups, 14 genes)


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TABLE 5. Characterized genes down-regulated between the preterm and term-in-labor groups (smooth muscle, autonomic nervous system, and miscellaneous groups, 13 genes)

Genes Up-Regulated at Term, Without and With Labor

Tables 6 and 7 show sets of 18 and 10 genes that were significantly up-regulated in the myometrium of the groups at term not in labor and at term in labor, as compared to the preterm group. Our data revealed the presence of an additional family of genes (Tables 6 and 7) associated with inflammatory processes. It is worth noting that the total number of up-regulated genes was smaller than their down-regulated counterparts. Moreover, the magnitude of the differential expression of these up-regulated genes was globally less pronounced than that of their down-regulated homologues.


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TABLE 6. Characterized genes up-regulated between the preterm and term-not-in-labor groups (18 genes)


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TABLE 7. Characterized genes up-regulated between the preterm and term-in-labor groups (10 genes)

Some genes that had not previously been reported in the pregnant human myometrium are listed as associated to the control of the smooth muscle cells and/or their innervations (e.g., GLRB and DLG2, Table 6). The global picture emerging from Tables 6 and 7 illustrates the importance of the up-regulation of genes that contribute to immunoinflammatory processes at the end of gestation.

Table 8 lists the few genes that are differentially expressed in the term-not-in-labor and term-in-labor groups. Only two of them in the list were already detected in the comparison of preterm and term-in-labor groups. The MEL oncogene is down-regulated and the tumor protein TP53 is up-regulated with the advancing process of parturition. For these two genes, the magnitude of differential expression was similar to that obtained between preterm and term in labor (Tables 4 and 7, respectively).


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TABLE 8. Characterized genes differentially expressed in the term-not-in-labor and term-in-labor groups (12 genes)


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In the present work, we used DNA array screening to identify genes implicated in the complex mechanisms of the initiation of parturition. This approach is complementary to differential display or suppression subtractive hybridization techniques that were previously used to analyze the onset of labor in mammals [14, 15]. Although some of the differentially expressed messages found in our study were already known to have a defined function in the context of parturition, the identification of other up- or down-regulated messages provides a starting point for further investigations. Despite a limited number of patients, our study provided a consistent set of results. In particular, the clustering of replicate values collected from individual patients made it possible to group patients according to their true clinical preterm or term labor status. This is consistent with the good correlation currently reported in the scientific literature between estimations done with the macroarray techniques and those obtained with the more conventional Northern blot or quantitative RT-PCR techniques. However, it is recognized that the limitation of DNA arrays is often their lack of sensitivity, which makes it impossible to detect low abundant mRNAs [1618]. In our experiments, some genes known to be differentially expressed during gestation and parturition were not detected. Two possible explanations for this can be advanced: 1) the level of expression of these genes was lower than the detection threshold of the macroarray technique and 2) the transcripts were detected, but their variance was above the statistical limit of our analysis. For example, we could easily detect transcripts for EP1- and EP4-prostaglandin receptors on Clontech membranes, but none of these values was significantly different for different groups of patients because of the high variance of their means.

Contraction-Associated Genes

Pharmacological and biochemical studies have demonstrated that the expression of some GPCRs in association with many partners of signal pathways controlling relaxation was down-regulated in the myometrium at term, when muscle hyperactivity is required for parturition [19]. In this study we confirmed some of these results at the level of gene expression. We observed a noticeable reduction in the expression of the CGRP (calcitonin gene-related peptide)-receptor transcript at term. According to Anouar et al. [20] and to Dong et al. [21], the loss of CGRP response at term could contribute to initiation of rat and human labor. An up-regulation of a calmodulin-dependent phosphodiesterase (PDE-1) was observed at term as it has been clearly established in human term myometrium [22]. These data indicate that hydrolysis of cAMP/cGMP via PDE families may damper the actions of uterorelaxant agents at the end of pregnancy. Our data demonstrated also the down-regulation of some GPCR genes that have not yet been linked to human parturition. We reported a marked decrease in the expression of the GABA A receptor at term. GABA A receptors mediate myometrial relaxation and are expressed in the nonpregnant human myometrium [23]. A decrease of GABA A receptors has been reported at term in the rat myometrium, where they seem to play an important role in maintaining a quiescent state during pregnancy [24]. Thyrotropin-releasing hormone (TRH) receptors have been detected in the uterus [25], but their function in this organ remains unknown so far. The dramatic 40-fold decrease observed at term for TRH receptors suggests that they have a physiological function during pregnancy.

Our analysis also revealed that down-regulation of GPCR was accompanied by a significant decrease of GRK1 and 6 expression (GPCR kinase). Gestational-related changes operating at the level of GRK have been reported in the rat [26] and human myometrium [27]. Such a decrease could help to prevent desensitization of GPCR leading to uterine contraction.

Inflammation-Associated Genes

The role of inflammatory-immune mediators in parturition has been proposed. Although IL1 production has been reported to be associated with premature parturition [28], in the present study, we did not detect any significant up-regulation of the IL1 transcript. Moreover, the decrease of IRAK1 (an IL1 receptor-associated kinase [29]) transcripts we observed at term casts doubt on any important role for IL1 during normal parturition. However, in our data one third of genes up-regulated at term are linked to inflammatory-immune pathways. Our findings are convergent with the recent data obtained in human myometrium in labor using suppression subtractive hybridization approach [15]. All together, these results strongly suggest a role of inflammatory processes in parturition. Recent evidence also suggests that cell adhesion molecules have diverse biochemical and physiologic functions, including the regulation of inflammatory processes, cell differentiation, gene transcription, angiogenesis, apoptosis, and cell signaling [3032]. Cell adhesion molecule expression (ICAM1) increases in the human myometrium during late pregnancy and parturition. These changes can be attributed to leukocytes infiltrating these tissues [33]. We noted that the increased expression of ICAM at term was not restricted to ICAM1 but also involved ICAM2.

Proliferation-Associated Genes

Most of the genes that displayed a marked down-regulation in the term groups were known, among other possible functions, to drive cell proliferation and differentiation. Some of the proliferation-associated genes that were down-regulated in our experiments had already been reported to be related to uterine cell tumor development. This is true for the high-mobility group protein HMGIC, which is involved in the development of uterine leiomyomas [34], and osteocalcin, which has been found in osteosarcomas developed in the uterine corpus [35]. The list of down-regulated genes also includes the LIFR (leukemia inhibitory factor receptor) and gp130, a component of the LIF receptor (also known as interleukin-6 signal transducer, IL6ST). LIF acts via a receptor complex, in which signaling is triggered by heterodimerization with the LIF-Rb/gp190 protein (IL11, LIF) of gp130 [36]. Thus, the decrease in LIFR seen in the patients at term not in labor and that of the IL6ST in the patients at term in labor might contribute to the disappearance of the effects of the LIF in the myometrium at the end of human gestation.

In the human myometrium, late pregnancy is a time where substantial remodeling of the extracellular matrix occurs, including increased collagenolysis, the formation of elastic fibers within the circular muscle of the myometrium, as well as marked increases in the expression of fibronectin and in the thickness of the continuous basement membranes [37]. So far, no information is available concerning the differential expression of integrins in the human uterus at term. However, the present study demonstrates that the expression of integrin alpha 5 and integrin beta 3 was markedly reduced at term during labor and that of integrin beta 6 was reduced at term. Integrin alpha 5 and beta 3 can form a complex that interacts with platelet-derived growth factor receptor, leading to potentiation of its proliferative effect [38]. We also demonstrated the concomitant down-regulation of the integrin receptor tyrosine kinase, growth factor receptor (epidermal growth factor), Ras family member, PKC zeta, phosphoinositide 3-kinase, phospholipases (gamma 1, gamma 2, and epsilon), and several transcription factors. Some of the genes associated with the inhibition of cell proliferation and differentiation were increased at the end of gestation (e.g., tumor protein p53, maspin). All these signaling molecules are able to form a regulating network that may be involved in controlling the exact time course of uterine growth and cell survival.

In conclusion, the idea that emerges from our functional genomics approach is that the mechanism of parturition is preceded by a massive down-regulation of a large panel of developmental, cell adhesion molecule, and proliferation-related genes. This process may be necessary to allow the organ to develop its full contractile capacity. We suggest that labor can best be regarded as a coordinated regulation of uterine proliferation and contraction, involving a complex network of genes. The hypothesis of local actions of signaling factors originating from intrauterine and/or adjacent tissues in the control of uterine functions now needs to be explored. Global changes in gene expression in term and pregnant women including studies on decidual-myometrial crosstalk should be investigated. Such a wealth of data may make it possible to construct comprehensive pathways of the molecular and biochemical changes that lead to preterm labor and would allow the development of novel strategies to prevent premature delivery.


    ACKNOWLEDGMENTS
 
We are indebted to Chantal Legrand-Maltier for their constant encouragement and constructive comments to develop array-based studies intended to provide new insights into the mechanisms of parturition. We are also indebted to Prof. Bassam Haddad for providing some of the uterine samples used in this study. We would like to thank Pascale Roux and Olivier Dubois for their expert technical assistance. Our thanks to Monika Ghosh, who revised the English manuscript.


    FOOTNOTES
 
1 These results were presented orally at the International Philippe Laudat Conference on "preterm birth," Aix les Bains, France, October 2001. Back

2 Correspondence. FAX: 33 1 34 65 23 64; germain{at}jouy.inra.fr Back

Received: 21 November 2002.

First decision: 16 December 2002.

Accepted: 24 January 2003.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

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