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Originally published In Press as doi:10.1074/jbc.M107563200 on September 10, 2001

J. Biol. Chem., Vol. 276, Issue 47, 44137-44145, November 23, 2001
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Global Gene Expression Analysis to Identify Molecular Markers of Uterine Receptivity and Embryo Implantation*,

Jeff ReeseDagger §, Sanjoy K. Das§, Bibhash C. PariaDagger §, Hyunjung Lim§, Haengseok Song§, Hiromichi Matsumoto§, Kevin L. Knudtson**, Raymond N. DuBoisDagger Dagger , and Sudhansu K. Dey§||

From the Departments of Dagger  Pediatrics,  Obstetrics and Gynecology, and § Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas 66160, the ** Department of Internal Medicine, Diabetes and Endocrinology Research Center, University of Iowa, Iowa City, Iowa 52242, and the Dagger Dagger  Departments of Medicine and Gastroenterology, Vanderbilt University Medical Center, Nashville, Tennessee 37232

Received for publication, August 8, 2001, and in revised form, September 6, 2001


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Infertility and spontaneous pregnancy losses are an enduring problem to women's health. The establishment of pregnancy depends on successful implantation, where a complex series of interactions occurs between the heterogeneous cell types of the uterus and blastocyst. Although a number of genes are implicated in embryo-uterine interactions during implantation, genetic evidence suggests that only a small number of them are critical to this process. To obtain a global view and identify novel pathways of implantation, we used a dual screening strategy to analyze the expression of nearly 10,000 mouse genes by microarray analysis. Comparison of implantation and interimplantation sites by a conservative statistical approach revealed 36 up-regulated genes and 27 down-regulated genes at the implantation site. We also compared the uterine gene expression profile of progesterone-treated, delayed implanting mice to that of mice in which delayed implantation was terminated by estrogen. The results show up-regulation of 128 genes and down-regulation of 101 genes after termination of the delayed implantation. A combined analysis of these experiments showed specific up-regulation of 27 genes both at the implantation site and during uterine activation, representing a broad diversity of molecular functions. In contrast, the majority of genes that were decreased in the combined analysis were related to host immunity or the immune response, suggesting the importance of these genes in regulating the uterine environment for the implanting blastocyst. Collectively, we identified genes with recognized roles in implantation, genes with potential roles in this process, and genes whose functions have yet to be defined in this event. The identification of unique genetic markers for the onset of implantation signifies that genome-wide analysis coupled with functional assays is a promising approach to resolve the molecular pathways required for successful implantation.


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Early loss of pregnancy is a significant clinical problem for women and their health care providers. Successful embryo implantation depends upon bi-directional communication between the blastocyst and the uterus. Recent advances in our ability to define complex biochemical and genetic pathways have begun to unfold the molecular mechanisms underlying the regulation of implantation (1, 2). Although numerous factors involved in implantation have been identified (3-5), targeted mutations in mice have revealed only a few genes that are essential to this process (6-11).

Implantation is defined as a process by which the blastocyst makes the first physical and physiological contact with the maternal uterine luminal epithelium. Under the influence of ovarian steroid hormones, an optimal "window" for implantation is created when the activated state of the developing blastocyst overlaps with a brief period of uterine receptivity (12, 13). In pregnant mice, removal of preimplantation estrogen secretion by ovariectomy postpones the onset of implantation and induces blastocyst dormancy (14). A single injection of estrogen can reactivate the signaling network resulting in implantation in the progesterone (P4)-primed uterus. This model, termed "delayed implantation," has provided insights into the cellular communication pathways between the uterine and embryonic cell types and led to the identification of embryo-induced uterine genes that correspond to early steps in the establishment of pregnancy (2).

The blastocyst and uterus generate various factors during implantation, but it is likely that the molecular "cross-talk" between them involves many more yet unknown factors. Indeed, it is more realistic to view the process of implantation as a condition of equilibrium in the up-regulation and down-regulation of a diverse set of genes. Identification of other essential regulatory steps is necessary to further understand the biologic basis for the establishment of pregnancy or the underlying causes of pregnancy failures. In this respect, two recent reports highlight gene expression profiling in the post-implantation period (15, 16). However, to our knowledge, no such analysis at the onset of implantation has been reported. To address this issue, we employed two complementary strategies using murine GeneChip Expression Arrays (Affymetrix, Santa Clara, CA) to determine global gene expression profiles during implantation in mice. The first approach compared RNAs from implantation and interimplantation sites to identify genes that are specifically up- or down-regulated at the implantation site. A second analysis compared RNA from P4-primed pregnant uteri with delayed implantation with that of P4-primed uteri after estrogen activation. Several genes with known expression status at the implantation site were detected. In addition, cell-specific expression patterns in the implantation and interimplantation sites were observed for four candidate genes, confirming the validity of this approach. Mice with delayed implantation expressed a large number of genes associated with immunity or immune responses. The suppression of these genes at the implantation site also suggests that this site is immunologically privileged during early pregnancy and that modulation of the immune response is an active process during implantation. There were 81 genes whose expression was affected in both analyses. These results suggest that pan-genomic gene expression profiles are a promising approach for the identification of markers of uterine receptivity during implantation and that multiple screening strategies yield a distinct set of candidate genes that appear to be critical in early pregnancy.

    EXPERIMENTAL PROCEDURES
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Animals-- All experiments were conducted in accordance with National Institutes of Health standards for the care and use of animals. Mice were killed by cervical dislocation or were anesthetized for survival surgery with avertin. Adult virgin CD-1 female mice were mated with fertile males of the same strain to induce pregnancy (day 1 = vaginal plug).

Increased stromal vascular permeability at the site of initial contact of the blastocyst with the uterine luminal epithelium is the first visible sign of the implantation process (11:00-12:00 p.m. on day 4) and can be monitored by an intravenous injection of a blue dye (12, 13, 17). For the first analysis, implantation and interimplantation sites were divided by sharp dissection at 11:00-12:00 p.m. on day 4 (n = 12 mice). Uterine segments included uterine myometrium, stroma, and epithelium. Implantation sites also included blastocysts. Because there are normal variations in the timing of implantation, only those uteri with uniformly distinct blue bands were included, whereas regions with embryo crowding were discarded (Fig. 1).


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Fig. 1.   Microarray analysis to identify novel implantation-specific genes. Increased vascular permeability at the site of blastocyst attachment demarcates implantation sites after injection of a macromolecular blue dye. Top panel (natural pregnancy), comparison of RNAs from implantation and interimplantation sites at 11:00-12:00 p.m. on day 4 of pregnancy. Bottom panel (induced pregnancy), comparison of RNAs from mice with delayed implantation (progesterone only) and estrogen-induced termination of delayed implantation (progesterone + estrogen).

In the second analysis, P4-primed uteri of mice with delayed implantation were compared with P4-treated uteri after estrogen activation. To induce delayed implantation, pregnant females were ovariectomized on the morning of day 4 of pregnancy (9:00 a.m.) and given daily subcutaneous injections of P4 (2 mg/mouse in 0.1 ml of sesame oil) from days 5 through 7 (13, 14). To terminate delayed implantation and induce blastocyst activation, a single subcutaneous injection of estradiol-17beta (25 ng/mouse in 0.1 ml of oil) was given to one group of animals at the same time as P4 injection on the third day of delay (day 7). Whole uteri (n = 6) were collected from each of these two groups 12 h after the last injection of steroids.

Sample Preparation-- Uterine tissues were flash frozen at the time of dissection and stored at -80 °C. Specimens of implantation and interimplantation regions and of delayed and activated uteri were separately pooled, and total RNA was extracted in TRIzol reagent (Life Technologies, Gaithersburg, MD) according to the manufacturer's recommendations. An additional RNA cleanup step was performed using the Qiagen (Chatsworth, CA) RNeasy total RNA isolation kit. Total RNA (10 µg) from each group was used to generate cDNA using the Superscript Choice system (Life Technologies). First-strand synthesis was performed using a T7-(dT)24 primer (Sigma-Genosys, Woodlands, TX). The resulting cDNA was used to synthesize biotin-labeled cRNA via in vitro transcription using the ENZO BioArray HighYield RNA transcript labeling kit (Affymetrix, Inc.). The cRNA was fragmented in fragmentation buffer (40 mM Tris (pH 8.1), 100 mM potassium acetate, and 30 mM magnesium acetate, final concentration) by heating to 94 °C for 35 min. The quality of each cRNA preparation was assessed by analysis with a Test2 array (Affymetrix, Inc.), and all preparations met Affymetrix's recommended criteria for use on their expression arrays.

GeneChip Hybridization and Statistical Analysis-- Each cRNA (15 µg) preparation was used to inoculate murine U74A GeneChip expression arrays (Affymetrix, Inc.), and the hybridization, staining, scan, and analysis were conducted per recommended protocols. An Affymetrix software filter was applied to mask transcripts with incorrect orientation in the public data bases. Although numerous expressed sequence tags were differentially expressed, only those transcripts with known identities are reported herein. Three replicate hybridizations were performed using each of the four pooled RNA samples (implantation, interimplantation, delayed, activated) to establish the reproducibility of our results. Alterations in RNA transcript levels were analyzed using the Affymetrix Analysis Suite 4.0 software. Differences in levels of fluorescence intensity, which represents levels of hybridization, between the 25 base pair oligonucleotides and their mismatches, were analyzed by multiple decision matrices to determine the presence or absence of gene expression and to derive an average difference score representing the relative level of gene expression. Background and noise corrections account for nonspecific binding and minor variations in hybridization conditions. Values for the mean and standard deviation of the three replicate average difference scores were calculated for each gene on the GeneChip. Comparison between groups was performed by Student's t test (p < 0.05 considered significant). The -fold change in expression between groups was calculated from the mean average difference scores.

A second approach was used to verify the identification of differentially expressed genes. Affymetrix algorithms produced statistical decisions for an increase or decrease in expression when comparing the hybridization results of any two samples. Thus, paired comparisons of three replicate hybridizations resulted in nine possible outcomes for a single analysis (e.g. implantation versus interimplantation). Transcripts with statistically significant expression (by t test) that were also differentially expressed in four or more of the nine pair-wise comparisons (increase or decrease) were considered candidates for further evaluation. Others have used this counting approach using somewhat higher cut-off points (18). However, at higher threshold levels, we noted that a number of genes, known to be expressed at the implantation site, were excluded.

In Situ Hybridization-- In situ hybridization was performed as previously described (17). 35S-Labeled cRNA probes were generated for Sik-SP, Bip, Cyp1b1, and ptgerep4 (EP4) with the appropriate polymerases (19-21).

    RESULTS
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

Gene Expression Is Altered at the Onset of Natural Implantation (Implantation versus Interimplantation Sites)-- Hybridization intensity to the arrays was uniform for housekeeping genes such as glyceraldehyde-3-phosphate dehydrogenase and cyclophilin and a large number of ribosomal proteins, indicating that the expression data in the array hybridization experiments are consistent with other standards for studying gene expression.

The relative levels of gene expression at the implantation and interimplantation sites were first compared by plotting the average difference values for one individual array hybridization experiment against another and determining the presence or absence of gene expression for the entire array (Fig. 2). Genes that were considered absent or marginally expressed were widely dispersed (black points), whereas genes that were declared present in both hybridizations were tightly grouped (red points). An increase of more than 2-fold in the average difference score indicated genes with significantly higher expression at the implantation site (above the curve) or at the interimplantation region (below the curve) (Fig. 2). These results show that a vast majority of the genes on the chip have similar expression patterns (present, absent, or marginal) and their relevance to implantation is questionable. A small number of genes were present in both (red points) or present in one but marginal or absent in the other (blue points) that also had greater than a 2-fold difference in the level of expression. These genes were considered as potential candidates for further evaluation. Surprisingly, a symmetrical distribution of these candidate genes was observed, suggesting that an equal number of genes are up-regulated in the implantation and interimplantation regions.


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Fig. 2.   Levels of gene expression during implantation. Fluorescence-labeled cRNAs were hybridized to the Affymetrix murine U74A GeneChip. x and y axes indicate values for the average difference score (arbitrary units) of a single GeneChip hybridization. The average difference score reflects the relative level of gene expression for a given transcript. The results of a single representative experiment are shown as a scatterplot. Algorithms for data analysis indicate genes whose expression is present, absent, or marginal in either experiment. Lines indicate 2- and 10-fold differences in the level of gene expression from the mean. Top panel, comparison of implantation and interimplantation RNAs. Transcripts that were called marginal or absent (black, n = 6600), present in one but absent or marginal in the other (blue, n = 1317), or present in both analyses (red, n = 4668) are shown at the time of initial blastocyst attachment (day 4, 11:00 to 12:00 p.m.). Bottom panel, comparison of uterine RNAs from delayed implantation and estrogen-activated mice. Transcripts that were called marginal or absent (black, n = 7186), present in one but absent or marginal in the other (blue, n = 2358), or present in both analyses (red, n = 3044) are shown.

Genes with statistically significant differences in expression at implantation versus interimplantation sites were identified by comparison of replicate hybridizations and by a statistical decision for an increase or a decrease in gene expression. By t test alone, there were 293 up-regulated and 370 down-regulated genes at the implantation site. A second statistical approach was performed to provide an additional objective analysis. We used a threshold value of four of the nine possible outcomes, which resulted in 49 up-regulated and 60 down-regulated genes and included several known genes that are expressed during implantation or are considered biologically relevant to the implantation process. A combination of t test and counting approaches identified 36 genes that were up-regulated at the implantation site and 27 genes that were down-regulated (Tables I and II).

                              
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Table I
Genes with significantly increased expression at the implantation site
RNAs from implantation and interimplantation sites were obtained for GeneChip hybridization. The -fold change in gene expression was determined by comparison of mean average difference scores. Differentially expressed genes were identified by two statistical methods.

Differentially expressed genes were categorized based on the best available information regarding their biologic functions. Genes with multiple functions were assigned to a single category. Many genes that are known to be associated with the implantation process fall into categories similar to the genes we detected with increased expression at the implantation site, including growth factors/cytokines and their receptors, transcription factors, genes encoding structural proteins, or genes associated with cell proliferation. We also observed up-regulation of a group of calcium-related genes, including Bip, Sik similar protein (Sik-SP1), and calcineurin- and calcyclin-related proteins. Genes encoding Bip and Sik-SP showed highly localized expression at the implantation site, confirming our array results (Fig. 3). These genes are of interest, because calcium is an essential modulator of enzyme functions and signal transduction, and there is evidence that genes involved in calcium regulation play an important role during implantation (21-25).

                              
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Table II
Genes with significantly decreased expression at the implantation site
RNAs from implantation and interimplantation sites were obtained for GeneChip hybridization. The -fold change in gene expression was determined by comparison of mean average difference scores. Differentially expressed genes were identified by two statistical methods. By definition, genes with decreased expression at the implantation site also have increased expression in the interimplantation region (see Fig. 3).


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Fig. 3.   Expression of implantation and interimplantation-specific genes. In situ hybridization with 35S-labeled Sik-SP and Bip shows concentration of autoradiographic signals in the stroma surrounding the implanting blastocyst (arrows) (top panel, 40×). Bip signals are also noted in the glandular and luminal epithelium, whereas Sik-SP signals are absent in the luminal epithelium and immediate subepithelial stroma in the implantation bed. In contrast, 35S-labeled Cyp1b1 and EP4 signals accumulated in the interimplantation regions, with marked decreases in signal intensity at the implantation site (bottom panel, 20×). s, stroma; le, luminal epithelium; ge, glandular epithelium; myo, myometrium.

Previous efforts to identify novel genes during the peri-implantation period have primarily focused on the implantation site, with less attention paid to genes that are expressed at the interimplantation region. Genes with increased expression at the interimplantation site may act to guide the blastocyst to specific sites for implantation or be important for embryo spacing. Aberrant expression of these genes may be as detrimental to implantation as the loss of genes that are expressed at the implantation site. In our gene array experiments, we observed a 5-fold decrease in levels of Cyp1b1 expression at the implantation site. Cyp1b1 is a member of the cytochrome P450 system that converts primary estrogens to their active metabolites, catecholestrogens, which are important for blastocyst activation (20). In situ hybridization showed that Cyp1b1 is restricted to the subepithelial stroma of the interimplantation region (Fig. 3), in agreement with the decreased expression levels seen in the array experiments. A similar expression pattern was noted for the prostaglandin E2 receptor subtype, EP4, which showed a nearly 2-fold decrease by gene array. The overall diversity of genes with this pattern of expression suggests that further investigation of interimplantation-specific genes is warranted.

Gene Expression Is Altered in an Experimental Model of Implantation (Delayed versus Induced Implantation)-- To identify genes that are up-regulated at the time of blastocyst activation for implantation, RNAs from P4-primed delayed implanting uteri and P4-primed uteri after estrogen treatment were obtained for comparative analysis. Scatterplot analysis of genes considered absent or present showed that overall gene expression patterns in delayed and activated uteri were closely correlated (Fig. 2). The tight distribution of overall expression is similar to that seen in the implantation versus interimplantation analysis. The overall similarity of the two different scatterplots is not surprising, because the ultimate outcome, implantation, is similar in both models and the experiments were designed to be complementary and provide a dual approach to identify novel implantation-specific genes.

Statistical analysis by t test alone identified 409 up-regulated and 550 down-regulated genes in comparisons of delayed versus activated uteri. However, our combined statistical approach reduced the number of candidate genes to 128 up-regulated and 101 down-regulated transcripts after termination of the delayed implantation by estrogen (Supplemental Tables IS and IIS). Mice with delayed implantation expressed a large number of genes associated with host immunity or the immune response (n = 48) compared with the uteri of mice after estrogen activation (n = 3) (Supplemental Table IS). Furthermore, nearly 50% of the genes with significant expression during delayed implantation have some immune-related function (48/101). Specific roles for these genes during implantation have not been described.

There were striking differences in the functional categories of delayed versus activated genes. In general, more DNA processing, cell cycle-associated genes and a larger number of enzymes were observed after initiating the process of implantation (Supplemental Table IIS). This shift in gene diversity suggests that embryonic activation and uterine preparation for the onset of implantation is mediated by a subset of genes that requires estrogen. In this respect, the gap junction proteins, connexins 26 and 43, are implicated in implantation, and their regulation is influenced by steroid hormones (26). In our array experiments, the expression of the gene encoding connexin 26 increased over 8-fold, whereas the expression of connexin 43 showed a greater than 2.5-fold increase after estrogen activation. The prostaglandin E2 receptor subtype EP2 (ptgerep2) is the only other gene that was detected in our delayed versus activated gene array whose expression is also known to be induced at the site of the implanting blastocyst after termination of delayed implantation (27). Overall, our results show that delayed implantation is a valuable model to dissect the molecular aspects of implantation, and compare the distribution of genes that are expressed during dormancy or active implantation.

Comparison of Gene Expression in Natural and Delayed Implanting Models of Pregnancy-- Although implantation is the eventual outcome of both models, it is unclear whether molecular mechanisms underlying natural implantation and induced implantation are similar. To determine whether genes up-regulated in the delayed uterus after estrogen activation are similar to the group of genes with increased expression at the implantation site, the results of both hybridization analyses were combined to highlight genes that were differentially expressed in both comparisons. The intersection of these sets revealed 244 genes with significantly altered expression (t test only) in both models (Fig. 4). Considering only those transcripts with a greater than 2-fold difference in average difference scores, there were 54 genes that had significant expression at the interimplantation site and during progesterone-primed implantation delay (Table III). By similar criteria, we also observed 27 genes that had increased expression at the implantation site and after estrogen activation (Table IV). Among these, only connexins 26 and 43, amphiregulin, and nexin-1 are associated with implantation (26, 28, 29). The importance of the remaining genes in implantation awaits further investigation. Nonetheless, these results show that a dual screening strategy identifies a small number of candidate genes that are likely to have significant roles in implantation.


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Fig. 4.   Expression levels of candidate implantation-specific genes. x and y axes indicate values for the average difference score (arbitrary units). Combined analysis of average difference scores from both implantation models (implantation versus interimplantation, delayed versus activated) shows only those transcripts that have statistically significant differential expression in both models (t test only). Lines indicate 2- and 10-fold differences in the level of gene expression from the mean.

                              
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Table III
-fold Change of genes that showed decreased expression at the implantation site and after initiation of estrogen-induced implantation
Differentially expressed genes in the first (implantation versus interimplantation) and second (activated versus delayed) analyses were compared to identify common patterns of gene regulation. Genes with significant alterations in expression level (t test only) and at least a 2-fold change in one of the analyses are shown. Negative-fold change values indicate decreased expression relative to the baseline condition (interimplantation sites or delayed uteri). By definition, these genes also have increased expression at the interimplantation site and during P4-induced delayed implantation.

                              
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Table IV
-fold Change of genes that showed increased expression at the implantation site and after initiation of estrogen-induced implantation
Differentially expressed genes in the first (implantation versus interimplantation) and second (activated versus delayed) analyses were compared to identify common patterns of gene regulation. Genes with significant alterations in expression level (t test only) and at least a 2-fold change in one of the analyses are shown.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
REFERENCES

The survival of any species depends on stable mechanisms for reproduction. Thus, it is assumed that essential mechanisms for embryo implantation must be supported by redundant pathways to ensure the conception of new offspring. This predicts that a large number of genes that are important for implantation remain to be identified. Previous approaches to investigate implantation have generally relied on the analysis of individual candidate genes or gene families. We used DNA microarray technology to screen a large cross-section of the murine genome to identify novel implantation-specific genes. Our present investigation has identified genes with recognized roles in implantation, genes with potential roles in this process, and genes whose functions have yet to be defined. In addition, a small number of genes showed significantly altered expression during both natural and induced implantation.

The process of implantation involves cell-cell interactions between the blastocyst and uterus, cell-type specific proliferation and differentiation of the uterus, and immunological responses of the mother to the "semi-allogenic" embryo. Our data show a broad diversity of genes that are modulated during implantation. A recent report described a microarray-based approach to identify genes in the uterus during the post-implantation period (15). The authors of that report observed 192 genes with increased expression and 207 genes with decreased expression levels. Similar to our results, genes typically showed 1.5- to 3-fold induction at the implantation site. Surprisingly, there are very few genes mutually identified in both studies. However, Yoshioka et al. (15) compared uterine gene expression profiles on the evening of day 4 to those on day 6 of pregnancy. With this approach, both implantation and interimplantation regions would be included in a single sample so that no distinction could be made for gene localization around the implanting blastocyst. Our in situ hybridization results show the importance of differentiating these two sites. In addition, uterine horns were flushed in this study (15), and the uteri were split and the luminal surface was scraped to remove concepti. Physical disruption of the uterine epithelium would likely result in different gene expression profiles. We designed our experiments to include the implanting blastocyst in both analyses. The presence of blastocysts in our first (implantation versus interimplantation) and second (delayed versus activated) analyses serves to strengthen our approach by including the embryonic genome and profiling the expression of embryonic factors that may be significant to implantation. Moreover, we analyzed intact uterine horns to preserve an undisturbed relationship between the uterine myometria, stroma, and epithelium and its intimate contact with the blastocyst. In contrast, Yoshioka et al. (15), focused on two distinct time points in pregnancy, resulting in the identification of genes with differential expression between implantation and decidualization rather than implantation site-specific genes.

We also identified genes that are differentially expressed in delayed versus estrogen-activated uteri. There are previous reports that genes, which encode the EGF-like growth factors, cytokines and other inflammatory mediators, extracellular matrix proteins, cell cycle molecules, and immunoregulatory proteins, are expressed at the site of estrogen-induced implantation in a pattern similar to their expression in natural implantation (17, 27, 30, 31-38). In this respect, our microarray results are consistent with the previously described expression of several steroid hormone-sensitive and implantation-specific genes, including the genes encoding Cyp1b1, connexin 26 and connexin 43, Sik-SP, the prostaglandin receptor EP2, and histidine decarboxylase (20, 21, 26, 27, 39). However, we failed to detect the anticipated changes in the expression of the genes encoding cyclooxygenase-2 (Cox-2), perlecan, trophinin, HB-EGF, LIF, and a number of other hormone-responsive, implantation-associated genes at the implantation site. This is perhaps due to their highly restricted expression around the implanting blastocyst, resulting in the dilution of implantation-specific RNAs in a large pool of RNAs derived from other uterine cell types. Indeed, we have previously observed that changes in the expression of Cox-2 and HB-EGF and several other implantation-specific genes could not be detected by Northern hybridization, but showed discrete up-regulation at the implantation site as observed by in situ hybridization (17, 30-32).

A significant shift was noted in the diversity of genes expressed in delayed implantation uteri compared with estrogen-activated uteri. In particular, mice with delayed implantation expressed a large number of genes associated with immunity and/or the immune response. The suppression of these genes at normal implantation sites and after estrogen-activation (Table III) suggests that the implantation site is immunologically protected. Although large numbers of maternal natural killer cells are recruited to the uterine deciduum 48 h after embryo attachment (40), leukocytes and other bone marrow-derived cells migrate away from the site of blastocyst attachment at an earlier time during the onset of implantation (41, 42). Reduced expression of numerous immune-related genes at the implantation site suggests that immunomodulatory cells, even if present, remain quiescent with the onset of implantation. Thus, reduced expression of these genes is an important finding, because it is still unclear how the embryo escapes maternal immunological responses during pregnancy (43). The mechanism of down-regulation of these genes at the implantation site is unknown, but elaboration of immunosuppressive signals from active blastocysts cannot be ruled out (44, 45). Our data suggest that modulation of the immune response is an active process prior to or during blastocyst implantation.

There were 81 genes with differential expression at the implantation site during both natural and induced implantation, suggesting their importance for implantation. Connexins 26 and 43 are gap junction proteins that are influenced by ovarian steroids, accumulate in the stroma around the implantation site, and are up-regulated during experimentally induced decidualization (26). Their expression was significantly increased at the implantation site and in the uterus after estrogen activation. These observations coincide with a growing body of evidence for the role of structural genes in the establishment of pregnancy (46). Amphiregulin (Areg) and nexin-1 (serpine2) were the only other implantation-associated genes that had increased expression during both natural and induced implantation (Table IV). Amphiregulin is a member of the EGF family of growth factors that becomes intensely localized to the uterine luminal epithelium surrounding the blastocyst at the onset of implantation (28). Nexin-1 is a serine protease inhibitor that regulates processing of plasmin, thrombin, urokinase, plasminogen activators, and other proteases and is up-regulated during implantation (29). Tight regulation of proteases and their inhibitors is considered an important aspect of embryo-uterine interaction at the site of implantation (47). Collectively, our results suggest that other genes identified in the composite analysis are physiologically relevant to the implantation process.

The remaining genes identified by the combined screening approach do not yet have any recognized roles in implantation. However, many of the genes identified with increased expression in both analyses (Table IV) are associated with cell proliferation (spermidine synthase, PCNA); cell cycle regulation (cyclin E2); inflammation or tumor biology (ribonucleotide reductase M2, NM23); and DNA replication, synthesis, and/or repair (ribonucleotide reductase M2, CDC46 and Mcm homologs, topoisomerase, PCNA, FEN-1). Because the process of implantation is considered a pro-inflammatory response and involves uterine proliferation, differentiation, and apoptosis, these genes could well be very important for various aspects of this process. It is interesting to note that PCNA can directly bind to FEN-1 to stimulate its nuclease activity during base excision repair of damaged DNA (48) and that ribonucleotide reductase is the rate-limiting enzyme that provides the essential deoxynucleotides for new DNA synthesis and DNA repair. All three of these genes showed up-regulated expression during implantation and may act in a concerted fashion for remodeling of the uterine epithelium and stroma during blastocyst attachment and invasion. However, the diverse functions for each of these genes preclude any speculation as to their specific significance to implantation.

In summary, we employed a global gene expression strategy to identify novel genes in the implantation process. Our results show an equal number of genes that are up-regulated or down-regulated at the implantation site and a small number of candidate genes that have significant changes in their expression during natural and estrogen-induced implantation. A better understanding of the molecular mechanisms of embryo-uterine interactions during implantation will provide insight into the high rate of spontaneous pregnancy losses. Attempts to resolve these complex signaling networks will likely benefit from a genome-wide approach coupled with functional assays and facilitate new methods to address infertility and contraceptive challenges in women's health.

    ACKNOWLEDGEMENTS

We are grateful to Jian Tan and Xuemei Zhao for their assistance with in situ hybridization and to Richard Melvin for his assistance with microarray analysis.

    FOOTNOTES

* This work was supported in part by The Mellon Foundation; by National Institutes of Health (NIH) Grants HD37677 (to J. R.), ES07814 (to S. K. Das), HD37394 (to B. C. P.), DK47297 (to R. N. D.), HD12304, HD29968, HD33994 (to S. K. Dey); and by NICHD, NIH Mental Retardation and Developmental Disabilities Center Grant HD02528.The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

The on-line version of this article (available at http://www.jbc.org) contains Supplemental Tables IS and IIS.

|| A recipient of an NICHD (NIH) MERIT award. To whom correspondence should be addressed: Dept. of Molecular and Integrative Physiology, University of Kansas Medical Center, MRRC 3017, 3901 Rainbow Blvd., Kansas City, KS 66160. Tel.: 913-588-6213; Fax: 913-588-5677; E-mail: sdey@kumc.edu.

Published, JBC Papers in Press, September 10, 2001, DOI 10.1074/jbc.M107563200

    ABBREVIATIONS

The abbreviations used are: Sik-SP, Sik similar protein; EGF, epidermal growth factor; PCNA, proliferating cell nuclear antigen; MHC, major histocompatibility complex.

    REFERENCES
TOP
ABSTRACT
INTRODUCTION
EXPERIMENTAL PROCEDURES
RESULTS
DISCUSSION
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