- Open Access
A comparative genome analysis of gene expression reveals different regulatory mechanisms between mouse and human embryo pre-implantation development
Reproductive Biology and Endocrinologyvolume 8, Article number: 41 (2010)
Pre-implantation development is a crucial step in successful implantation and pregnancy in mammals. It has been studied in depth, but mostly in laboratory animal models. Less is known about the regulatory mechanism involved in the pre-implantation development in humans and about the comparative aspects.
Here, we employed the microarray datasets from the public database library of GEO and applied comparative analysis of genome wide temporal gene expression data based on statistical analysis and functional annotation for both mouse and human, demonstrating the discordance between the regulatory mechanisms of both mouse and human pre-implantation development.
There were differences between mouse and human pre-implantation development both in the global gene expression pattern and in the expression changes of individual genes at each stage, including different major transient waves of transcription profiles and some stage-specific genes and significantly related pathways. There also appeared to be different functional changes from one stage to another between mouse and human.
The analysis presented here lead to interesting and complementary conclusions that the regulatory mechanism of human pre-implantation development is not completely the same as the mouse. Not as the fact that 1-cell to 2-cell stage is important for mouse pre-implantation development, the 4-cell stage and 8-cell stage are both essential for human. Unlike in mouse, of which most of pathways found were related to energy, RNA and protein metabolism, the identified pathways in human were mostly disease-related and associated with human pre-implantation embryonic development. All of these suggest that a further comparative analysis should be required for applying the result of mouse expression data to human research or therapy, particularly in pre-implantation developments. Our study provides several potential targets of genes and pathways for studying the regulatory mechanism of human pre-implantation development using mouse model.
Pre-implantation development is a mammalian-specific occurrence, which encompasses the period from fertilization to implantation and involves a number of important events . Understanding pre-implantation development is important, both for basic reproductive biology and for practical applications including regenerative medicine and livestock production. However, due to the scarcity of the materials, both in size (about 0.1 mm diameter) and in quantity (only a few to tens of oocytes from each ovulation) are limited in related research, which has hampered the molecular analysis of human pre-implantation embryos. Thus using the mouse model system has formed the current perfect paradigm about gene expression during pre-implantation development. Recently, more and more global gene expression profiles during mouse pre-implantation development have been examined, two principal transient waves of de novo transcription have been identified [2, 3]. Additionally, several important transcripts have been reported to have the core roles at each developmental stage. For example, H1foo and Msy2 have been reported as the oocyte-specific transcripts, which are not re-expressed later in development, destruction of these maternal mRNAs restricts the length of time that these genes can function [4, 5]; Recent studies have shown that JNK and p38 are involved in cavity formation during pre-implantation development [6, 7]. As the unclear confidence of the previously identified genes, their roles in the regulation of mouse pre-implantation development must be further discussed and the consistence with human must also be considered.
In our study, we employed time course expression datasets of early mouse and human embryo both from the same series. Through our comparative analysis of genome wide temporal gene expression data based on significance analysis and functional annotation, we found that there were many differences in the expression patterns of pre-implantation development between mouse and human, for both the regulatory waves and the identified genes.
We searched GEO  for the gene expression profiling studies related to pre-implantation development. Finally, we chose the data set GSE18290 contributed by Xie D, containing 52 samples of early bovine embryo, human embryo, and mouse embryo . As we were interested in the mouse and human, we deleted 16 bovine samples. There were 36 samples left, 18 for human (GSM456643 to GSM456660) and 18 for mouse (GSM456661 to GSM456678). Human and mouse embryos were harvested at successive stage from oocyte to blastocyst. They were both generated at one-cell stage, two-cell stage, four-cell stage, eight-cell stage, morula, and blastocyst, the number of replication is 3. Total RNAs were extracted, amplified and hybridized onto Affymetrix microarrays. The platforms were Affymetrix Mouse Expression 430A Array (MOE430A, total 22690 probe sets) and Affymetrix Human Genome U133 Plus 2.0 Array (HG-U133_Plus_2, total 54675 probe sets).
Microarray data analysis
The datasets we chose (CEL files) were downloaded from GSE18290. For mouse and human respectively, 18 samples were divided into 6 groups according to different periods (the time condition). Probe intensities were then normalized, and expression signals of all genes (probe sets) were calculated using the Robust Multichip Averaging (RMA) algorithm in affy package [10, 11]. Statistical analysis was performed by one-way ANOVA with a Benjamini and Hochberg False Discovery Rate (BH-FDR = 0.05) for multiple testing correction followed by Tukey's post-hoc tests . Differentially expressed genes between two neighbor stages were identified by 2.0 fold-changes. Clustering on groups and genes was performed based on the identified genes' expression using the method of Hierarchical clustering. All of these processes were performed using software packages developed in version 2.4.0 of Bioconductor and R version 2.10.0 [10, 13].
GO annotations and pathway analysis
Further classifications of GO annotations and pathway analysis were performed by using the Database for Annotation, Visualization and Integrated Discovery (DAVID) [14, 15], revealing over-represented function of identified genes associated with developmental stages or time specification.
Results and Discussion
Global outlook by time-course analysis
Through our analysis by ANOVA-FDR test with False Discovery Rate (FDR) ≤ 5%, 12930 probe sets were shown statistically significant changes during mouse pre-implantation development. By contrast, the number for human was 21746. To identify the gene expression patterns of these two species, we employed hierarchical clustering on the samples' groups by using the above identified genes and then had a comparison between mouse and human (Figure 1). Obviously, there was difference between mouse and human transcription profiles. For mouse, we identified two major transitions in the gene expression patterns: one-cell stage to two-cell stage and 4-cell stage to 8-cell stage. These transitions separated mouse pre-implantation embryos into three phases: one-cell stage (Mouse Phase 1); two-cell stage and 4-cell stage (Mouse Phase 2); and 8-cell stage, morula and blastocyst (Mouse Phase 3). The current microarray data were mostly consistent with the previously reported expression patterns of genes . By contrast, for human, there were also two major transitions, but they were: 4-cell stage to 8-cell stage and 8-cell stage to morula. Similarly, they separated human pre-implantation embryos into three phases: one cell stage, two-cell stage and 4-cell stage (Human Phase 1); 8-cell stage (Human Phase 2); morula and blastocyst (Human Phase 3).
To obtain a perspective on global gene expression changes, we performed a pair-wise comparison of gene expression data for all pre-implantation developmental stages. The threshold of Fold Change was 2.0. The results for mouse and human are detailed in Table 1 and Figure 2. The lists of mouse and human significantly regulated genes in each stage comparison can be seen in Additional file 1 and 2, respectively. For mouse, there were two major transient waves of gene expression changes. The first wave was from one-cell stage to two-cell stage, the number of identified differently expressed probe sets was totally 4316, including 1867 down-regulated and 2449 up-regulated. The second one was from 8-cell stage to morula, a total of 3400 probe sets were identified, 819 for down-regulated and 2581 for up-regulated. In comparison, only one major wave appeared in human expression profiles, but the appearing periods focused on the later stages. It was from 4-cell stage to 8-cell stage, total number is 7278 including 2180 down-regulated and 5098 up-regulated. These found waves were mostly consistent with the result of above hierarchical clustering, also revealing different gene activations among pre-implantation developmental stages between mouse and human.
Our present finding suggests that in 1- and 2- cell stages of humans, there are not many genes that get regulated. But subsequently, numerous of the differentially expressed genes have been identified in both 4-cell stage and 8-cell stage, thus these two stages may play essential roles in human pre-implantation development. The most early and widely cited report has also shown that some of the major qualitative changes which occur between the four- and eight-cell stages are dependent on transcription and cleavage is not sensitive to transcriptional inhibition until after the four-cell stage . Moreover, according to more biological processes participating in Human Phase 3 (morula and blastocyst), it suggests that more preparations should be needed for implantation of human. On the contrary, in the case of mouse though most of the genes are regulated (up or down) between 1- and 2-cell stages, there are fewer but essential genes up/down regulated during later stages of pre-implantation development. The transition from the two-cell to four-cell stage is particularly important in pre-implantation mouse embryonic development, as it involves transcriptional reprogramming and cellular differentiation . It is well known that the transcriptome of the mammalian embryo is comprised of maternally deposited transcripts after fertilization, but maternal transcripts are degraded and replaced by zygotic transcripts after several cell divisions, the transition is called zygote genome activation (ZGA) [2, 3]. Our findings suggest that the timing of ZGA and maternal transcripts degradation is different between mice and human, it occurs between 1-cell and 2-cell stage in mouse, but between 4-cell and 8-cell stage in human development. They are supported by previous reports [2, 16, 18].
Analysis of individual genes
In order to provide information about the expression changes of individual genes over time, we further respectively analyzed 12930 and 21746 statistically significant genes by a k-means clustering method for mouse and human pre-implantation development . Although the dynamics of actual gene expression changes of individual genes was very complex, the k-means clustering provided a good overview of expression trends and formed a wave-like expression pattern. As a result, six clusters were identified respectively for mouse and human (Figure 3 and 4). The significant genes from each cluster were shown in Additional File 3 and 4. Several regulated genes specific to each cluster were different between mouse and human.
For mouse, the identified 6 clusters can be assigned to four main groups. The first group appears to represent genes that showed a steady increase and decrease throughout pre-implantation stages, including cluster 1 (containing 5749 probe sets) and cluster 2 (2197 probe sets). In this group, it contains Esrra and Esrrb respectively in cluster 2 and cluster 1, which have been reported as associated with obesity and type 2 diabetes [20, 21]. The second group appears to represent genes that showed a dramatic decrease throughout the stages, abundant in one cell stage but degraded during pre-implantation development, which is cluster 3 (1883 probe sets). The third group is exactly opposite to the second one, it appears to represent genes that showed a dramatic increase throughout the developmental stages, including cluster 5 (690 probe sets). The last group includes cluster 4 (1721 probe sets) and cluster 6 (690 probe sets), the genes here were firstly activated from one cell stage to 8-cell stage, peaked at 8-cell stage but degraded at later stages. In fact, the last group contains Mapk1 and Mapk3, respectively in cluster 4 and cluster 6, which are both well-known genes having central roles in diverse cellular functions [22–25].
For human, these 6 clusters can also be divided into 4 groups. The first group appears to represent genes that showed a steady increase and decrease through the stages, except from 4-cell stage to 8-cell stage. The cluster 1 (containing 9169 probe sets) showed a dramatic increase from 4-cell stage to 8-cell stage, whereas the cluster 2 (5751 probe sets) showed a dramatic decrease during the period. In this group, there are our interesting genes like ESR1 and ESR2. As in the mouse, The second group appears to represent genes that showed a dramatic decrease throughout the stages, abundant in one cell stage but degraded during pre-implantation development, which is cluster 4 (1907 probe sets). The third group appears to represent genes that showed a dramatic increase throughout the developmental stages, including cluster 3 (2214 probe sets) and cluster 6 (894 probe sets). The last group only includes cluster 5 (1811 probe sets), also like the mouse, appearing to represent genes that were firstly activated from one cell stage to 8-cell stage, peaked at 8-cell stage but degraded at later stages. For central genes, we also take the mitogen activated protein kinase (MAPK) members for example. Mapk1 includes in cluster 2, 3 and 5; there are Mapk7 in cluster 2, Mapk8 in cluster 4, Mapk9 in cluster 3, Mapk12 in cluster 2, Mapk13 in cluster 1 and Mapk14 in cluster5. Almost all of MAPK members involve in the regulation of human pre-implantation development.
During mouse pre-implantation development, the exclusive expression of the Xist gene from the paternally inherited allele is thought to play a role in the inactivation of the paternally inherited X chromosome in the extra-embryonic cell lineages of the developing female embryo. The previous study using human cleavage-stage embryos derived by in vitro fertilization revealed that a pattern of XIST expression different from that in the mouse . In our study, the profiles of XIST expression in both mouse and human pre-implantation development were known. As a result, the expression of Xist was significantly regulated at mouse 2-cell stage and blastocyst, but almost significantly regulated through human pre-implantation development (from 2-cell to blastocyst). On the other hand, in the k-means clustering of significant genes, the mouse Xist gene was in Cluster 5 but the human XIST gene was in Cluster 3. The details were shown in Additional file 1 and 2, colored in red. Thus, all of these demonstrate that not as in the mouse, the pattern of human XIST expression is not consistent with a role for early expression in the choice of paternal X inactivation but participates in regulating the whole human early embryo development.
Significantly related GO terms and pathways
We then sought to determine the functions associated with the identified significant genes between each adjacent stage, analysis of over-represented annotations and pathways were performed by using DAVID [14, 15]. If p value was less than 0.01, it was considered as significant GO annotation or pathway. The significant GO terms of over-represented genes were shown in Table 2 and 3 respectively for mouse or human. The significant pathways of over-represented genes were shown in Table 4 and 5 respectively for mouse or human.
With comparison to mouse, due to the less different identified genes from one-cell stage to two-cell stage and from two-cell stage to 4-cell stage for human, there were less GO terms during these periods. The GO terms for human focused on such as "cell division", "cellular metabolic process", "primary metabolic process" and "RNA processing". These were all obtained for mouse, except for the GO term "death". Just like to be delayed, most of previous GO terms for mouse were appearing from 4-cell to 8-cell stage for human, such as "macromolecule metabolic process", "macromolecule localization", "establishment of protein localization" and "establishment of RNA localization". These findings support the idea that mid-preimplantation gene activation (MGA) drives the overt morphological changes in the subsequent stages, compaction and bifurcation into two-cell lineages. With the preparation of basic cellular machinery, dramatic biological processes were happening during Human Phase 3 (morula and blastocyst), which is related to the event of implantation.
Briefly, through our pathway analysis, most of the identified pathways were involved in after human 4-cell stage, but the number of identified pathways shared in mouse pre-implantation development. Moreover, many of the features and signaling pathways that are required during human pre-implantation development are also active during tumourigenesis . According to our analysis based on human data, p53 signaling pathway, the pathways of Eenteropathogenic E. coli (EPEC) infection and Enterohemorrhagic E. coli (EHEC) infection were identified separately in 4-cell and 8-cell stages. These pathways were also thought to be related to the formation of cancer and the regulation of human reproduction [28–31]. But these above pathways were not identified from microarray analysis in mouse 4-cell and 8-cell stages. On the contrary, the pathway of oxidative phosphorylation was mostly identified through mouse pre-implantation development, which hardly appeared in human data. The oxidative phosphorylation pathway was reported as one of the obligatory energy metabolism pathways in most species throughout pre-implantation development . And the pathway of Citrate cycle (TCA cycle) was identified after mouse 8-cell stage, which was not identified in human data. It is well know that the mitochondrial TCA cycle is the major source of reducing equivalents in the cytosol so that any change in mitochondrial function in the embryo will be reflected in changes in the intracellular redox state. In the mouse, the metabolic substrates used by the oocyte and early embryo each have a different impact on the intracellular redox state . Surprisingly, the common identified pathway from 4-cell to 8-cell stage between human and mouse was only the Ubiquitin mediated proteolysis pathway, which was reported as an important role in eukaryotic cellular processes . Thus it is advisable to choose the Ubiquitin mediated proteolysis pathway as the candidate pathway for further study on reproductive biology and regenerative medicine using mouse model. Interestingly, some of the known metabolic pathways e.g. biosynthesis of steroids pathway and fatty acid metabolism pathway were shown significant in both human and mouse blastocysts. All of these suggest that unlike in mouse, of which most of pathways found were related to energy, RNA and protein metabolism, the identified pathways in human were mostly disease-related and associated with human pre-implantation embryonic development. By contrast, there are some common metabolic pathways participate in regulating the mammal early embryonic development.
Furthermore, in view of the fact that many researchers working in mice interpret their results in relation to human reproduction, mice and human reproduction differ distinctly in many aspects; e.g. the reproduction in mice is characterized by a very short oestrus cycle and thus, displays a distinctly different endocrine dynamic pattern if compared with humans or domestic animals [35–38]. On the other hand, due to the difference in the inner environment of embryo and the external environment of uterus, there are species differences in the implantation process between mice and human [39–41]. The same applies for the regulatory mechanisms of early embryonic development that can be not simply transferable to the human species.
In sum, pre-implantation development involves a number of biologically significant events, such as compaction and blastocyst formation, which represent morphologically dynamic changes, especially for mouse and human . Although the models of mouse have been well examined, molecular mechanisms regulating the early embryo development of human have been scarcely reported and the credibility of using the mouse model to explain the regulatory mechanism of human pre-implantation development remains unclear. Briefly, in this study, we have shown differences between mouse and human pre-implantation developments both in the global gene expression pattern and the expression changes of individual genes at each stage, including different major transient waves of transcription profiles and some stage-specific genes and pathways. Undeniably, Studies in mice have provided insights into the molecular basis of human pre-implantation development because of their shared features. In both species, early embryo development leads to a complex regulatory mechanism. However, the nature of human embryonic signals that influence uterine functions is more difficult than rodents', especially at the later stages of pre-implantation development (morula and blastocyst). Thus, it limits the availability of adequate amounts of tissues for mouse analysis. Moreover, the quality and quantity of samples chosen in microarray experiments also play essential roles in effecting the accuracy of mouse model, especially the conditions for in vitro maturation and fertilization are crucial for the proper early embryo development and may result in developmental aberrations.
By comparison between mouse and human expression profiles, we have noted that the regulatory mechanism of human pre-implantation development is different from the mouse, and even more complex. Through our analysis, we have found differences between mouse and human transcription profiles both in the global expression pattern of genes and in expression of individual genes within the gene clusters identified and in the significantly related pathways. Not as the fact that 1-cell to 2-cell stage is important for mouse pre-implantation development, the 4-cell stage and 8-cell stage are both essential for human. Unlike in mouse, of which most of pathways found were related to energy, RNA and protein metabolism, the identified pathways in human were mostly disease-related and associated with human pre-implantation embryonic development. Different expression patterns and significantly related biological processes during each stage between mouse and human suggest that a further comparative analysis should be required for applying the result of mouse expression data to human research or therapy, particularly in pre-implantation developments. Our study also provides several potential targets of genes and pathways for studying the regulatory mechanism of human pre-implantation development using mouse model, such as the gene of Xist and the Ubiquitin mediated proteolysis pathway.
Edwards RG: Aspects of the molecular regulation of early mammalian development. Reprod Biomed Online. 2003, 6: 97-113. 10.1016/S1472-6483(10)62061-5.
Hamatani T, Carter MG, Sharov AA, Ko MS: Dynamics of global gene expression changes during mouse preimplantation development. Dev Cell. 2004, 6: 117-131. 10.1016/S1534-5807(03)00373-3.
Wang QT, Piotrowska K, Ciemerych MA, Milenkovic L, Scott MP, Davis RW, Zernicka-Goetz M: A genome-wide study of gene activity reveals developmental signaling pathways in the preimplantation mouse embryo. Dev Cell. 2004, 6: 133-144. 10.1016/S1534-5807(03)00404-0.
Tanaka M, Hennebold JD, Macfarlane J, Adashi EY: A mammalian oocyte-specific linker histone gene H1oo: homology with the genes for the oocyte-specific cleavage stage histone (cs-H1) of sea urchin and the B4/H1 M histone of the frog. Development. 2001, 128: 655-664.
Yu J, Hecht NB, Schultz RM: Expression of MSY2 in mouse oocytes and preimplantation embryos. Biol Reprod. 2001, 65: 1260-1270. 10.1095/biolreprod65.4.1260.
Maekawa M, Yamamoto T, Tanoue T, Yuasa Y, Chisaka O, Nishida E: Requirement of the MAP kinase signaling pathways for mouse preimplantation development. Development. 2005, 132: 1773-1783. 10.1242/dev.01729.
Natale DR, Paliga AJ, Beier F, D'Souza SJ, Watson AJ: p38 MAPK signaling during murine preimplantation development. Dev Biol. 2004, 268: 76-88. 10.1016/j.ydbio.2003.12.011.
Gene Expression Omnibus. [http://www.ncbi.nlm.nih.gov/geo]
Xie D, Chen CC, Ptaszek LM, Xiao S, Cao X, Lewin HA, Cowan C, Zhong S: Rewirable gene regulatory networks in the preimplantation embryonic development of three mammalian species. Genome Res. 2010
Gautier L, Cope L, Bolstad BM, Irizarry RA: affy--analysis of Affymetrix GeneChip data at the probe level. Bioinformatics. 2004, 20: 307-315. 10.1093/bioinformatics/btg405.
Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP: Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics. 2003, 4: 249-264. 10.1093/biostatistics/4.2.249.
Park T, Yi SG, Lee S, Lee SY, Yoo DH, Ahn JI, Lee YS: Statistical tests for identifying differentially expressed genes in time-course microarray experiments. Bioinformatics. 2003, 19: 694-703. 10.1093/bioinformatics/btg068.
Team RDC: R: A language and environment for statistical computing. 2009, R Foundation for Statistical Computing, Vienna, Austria
Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA: DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol. 2003, 4: P3-10.1186/gb-2003-4-5-p3.
Huang da W, Sherman BT, Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009, 4: 44-57. 10.1038/nprot.2008.211.
Braude P, Bolton V, Moore S: Human gene expression first occurs between the four- and eight-cell stages of preimplantation development. Nature. 1988, 332: 459-461. 10.1038/332459a0.
Jeong HJ, Kim HJ, Lee SH, Kwack K, Ahn SY, Choi YJ, Kim HG, Lee KW, Lee CN, Cha KY: Gene expression profiling of the pre-implantation mouse embryo by microarray analysis: comparison of the two-cell stage and two-cell block. Theriogenology. 2006, 66: 785-796. 10.1016/j.theriogenology.2006.01.059.
Adjaye J, Herwig R, Brink TC, Herrmann D, Greber B, Sudheer S, Groth D, Carnwath JW, Lehrach H, Niemann H: Conserved molecular portraits of bovine and human blastocysts as a consequence of the transition from maternal to embryonic control of gene expression. Physiol Genomics. 2007, 31: 315-327. 10.1152/physiolgenomics.00041.2007.
Saeed AISV, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, Sturn A, Snuffin M, Rezantsev A, Popov D, Ryltsov A, Kostukovich E, Borisovsky I, Liu Z, Vinsavich A, Trush V, Quackenbush J: TM4: a free, open-source system for microarray data management and analysis. Biotechniques. 2003, 34: 374-378.
Larsen LH, Rose CS, Sparso T, Overgaard J, Torekov SS, Grarup N, Jensen DP, Albrechtsen A, Andersen G, Ek J, Glumer C, Borch-Johnsen K, Jorgensen T, Hansen T, Pedersen O: Genetic analysis of the estrogen-related receptor alpha and studies of association with obesity and type 2 diabetes. Int J Obes (Lond). 2007, 31: 365-370. 10.1038/sj.ijo.0803408.
Sladek R, Beatty B, Squire J, Copeland NG, Gilbert DJ, Jenkins NA, Giguere V: Chromosomal mapping of the human and murine orphan receptors ERRalpha (ESRRA) and ERRbeta (ESRRB) and identification of a novel human ERRalpha-related pseudogene. Genomics. 1997, 45: 320-326. 10.1006/geno.1997.4939.
Graf K, Xi XP, Yang D, Fleck E, Hsueh WA, Law RE: Mitogen-activated protein kinase activation is involved in platelet-derived growth factor-directed migration by vascular smooth muscle cells. Hypertension. 1997, 29: 334-339.
Nohara A, Ohmichi M, Koike K, Masumoto N, Kobayashi M, Akahane M, Ikegami H, Hirota K, Miyake A, Murata Y: The role of mitogen-activated protein kinase in oxytocin-induced contraction of uterine smooth muscle in pregnant rat. Biochem Biophys Res Commun. 1996, 229: 938-944. 10.1006/bbrc.1996.1905.
Pearson G, Robinson F, Beers Gibson T, Xu BE, Karandikar M, Berman K, Cobb MH: Mitogen-activated protein (MAP) kinase pathways: regulation and physiological functions. Endocr Rev. 2001, 22: 153-183. 10.1210/er.22.2.153.
Zernicka-Goetz M, Verlhac MH, Geraud G, Kubiak JZ: Protein phosphatases control MAP kinase activation and microtubule organization during rat oocyte maturation. Eur J Cell Biol. 1997, 72: 30-38.
Daniels R, Zuccotti M, Kinis T, Serhal P, Monk M: XIST expression in human oocytes and preimplantation embryos. Am J Hum Genet. 1997, 61: 33-39. 10.1086/513892.
Wang H, Dey SK: Roadmap to embryo implantation: clues from mouse models. Nat Rev Genet. 2006, 7: 185-199. 10.1038/nrg1808.
Crane JK, Naeher TM, Choudhari SS, Giroux EM: Two pathways for ATP release from host cells in enteropathogenic Escherichia coli infection. Am J Physiol Gastrointest Liver Physiol. 2005, 289: G407-G417. 10.1152/ajpgi.00137.2005.
Allende-Vega N, Saville MK: Targeting the ubiquitin-proteasome system to activate wild-type p53 for cancer therapy. Semin Cancer Biol. 2010, 20 (1): 29-39. 10.1016/j.semcancer.2009.10.004. Epub 2009 Nov 6
Hu W, Feng Z, Levine AJ: The regulation of human reproduction by p53 and its pathway. Cell Cycle. 2009, 8: 3621-3622. 10.4161/cc.8.22.9938.
Maddocks OD, Short AJ, Donnenberg MS, Bader S, Harrison DJ: Attaching and effacing Escherichia coli downregulate DNA mismatch repair protein in vitro and are associated with colorectal adenocarcinomas in humans. PLoS One. 2009, 4: e5517-10.1371/journal.pone.0005517.
Harvey AJ, Kind KL, Thompson JG: REDOX regulation of early embryo development. Reproduction. 2002, 123: 479-486. 10.1530/rep.0.1230479.
Dumollard R, Carroll J, Duchen MR, Campbell K, Swann K: Mitochondrial function and redox state in mammalian embryos. Semin Cell Dev Biol. 2009, 20: 346-353. 10.1016/j.semcdb.2008.12.013.
Sudheer S, Adjaye J: Functional genomics of human pre-implantation development. Brief Funct Genomic Proteomic. 2007, 6: 120-132. 10.1093/bfgp/elm012.
Coutifaris C, Omigbodun A, Coukos G: Integrins, endometrial maturation, & human embryo implantation. Semin Reprod Endocrinol. 1998, 16: 219-229. 10.1055/s-2007-1016280.
Bernard DJ, Woodruff TK: Inhibin binding protein in rats: alternative transcripts and regulation in the pituitary across the estrous cycle. Mol Endocrinol. 2001, 15: 654-667. 10.1210/me.15.4.654.
Lee GS, Jeung EB: Uterine TRPV6 expression during the estrous cycle and pregnancy in a mouse model. Am J Physiol Endocrinol Metab. 2007, 293: E132-E138. 10.1152/ajpendo.00666.2006.
Kaminska K, Wasielak M, Bogacka I, Blitek M, Bogacki M: Quantitative expression of lysophosphatidic acid receptor 3 gene in porcine endometrium during the periimplantation period and estrous cycle. Prostaglandins Other Lipid Mediat. 2008, 85: 26-32. 10.1016/j.prostaglandins.2007.10.001.
Allegra A, Marino A, Coffaro F, Lama A, Rizza G, Scaglione P, Sammartano F, Santoro A, Volpes A: Is there a uniform basal endometrial gene expression profile during the implantation window in women who became pregnant in a subsequent ICSI cycle?. Hum Reprod. 2009, 24: 2549-2557. 10.1093/humrep/dep222.
Arimoto-Ishida E, Sakata M, Sawada K, Nakayama M, Nishimoto F, Mabuchi S, Takeda T, Yamamoto T, Isobe A, Okamoto Y, Lengyel E, Suehara N, Morishige K, Kimura T: Up-regulation of alpha5-integrin by E-cadherin loss in hypoxia and its key role in the migration of extravillous trophoblast cells during early implantation. Endocrinology. 2009, 150: 4306-4315. 10.1210/en.2008-1662.
Najwa AR, Sengupta J, Ghosh D: A systems biology approach towards understanding the process of blastocyst implantation. Indian J Physiol Pharmacol. 2009, 53: 197-208.
Xie D and Sheng Z are acknowledged for providing biological materials for this study. Our work is funded by National Natural Science Foundation of China (No.30871782), the Ministry of Science and Technology of the People's Republic of China (No.2006AA10Z1E3), National Programs for High Technology Research and Development of China (863 program)(No.2008AA101009), and the National Key Technology R&D Program (grant No. 2008BADB2B11).
The authors declare that they have no competing interests.
KH designed the study, collected the datasets from databases and analyzed the data, then wrote the manuscript. QSW is acknowledged for excellent technical assistance with text data mining and statistical algorithm. HBZ designed the bioinformatics study and reviewed the manuscript. YCP designed the study and reviewed the manuscript. All authors read and approved the final manuscript.