Semi-quantitative measurement of specific proteins in human cumulus cells using reverse phase protein array
© Puard et al.; licensee BioMed Central Ltd. 2013
Received: 19 June 2013
Accepted: 18 October 2013
Published: 22 October 2013
The ability to predict the developmental and implantation ability of embryos remains a major goal in human assisted-reproductive technology (ART) and most ART laboratories use morphological criteria to evaluate the oocyte competence despite the poor predictive value of this analysis. Transcriptomic and proteomic approaches on somatic cells surrounding the oocyte (granulosa cells, cumulus cells [CCs]) have been proposed for the identification of biomarkers of oocyte competence. We propose to use a Reverse Phase Protein Array (RPPA) approach to investigate new potential biomarkers of oocyte competence in human CCs at the protein level, an approach that is already used in cancer research to identify biomarkers in clinical diagnostics.
Antibodies targeting proteins of interest were validated for their utilisation in RPPA by measuring siRNA-mediated knockdown efficiency in HEK293 cells in parallel with Western blotting (WB) and RPPA from the same lysates. The proteins of interests were measured by RPPA across 13 individual human CCs from four patients undergoing intracytoplasmic sperm injection procedure.
The knockdown efficiency of VCL, RGS2 and SRC were measured in HEK293 cells by WB and by RPPA and were acceptable for VCL and SRC proteins. The antibodies targeting these proteins were used for their detection in human CCs by RPPA. The detection of protein VCL, SRC and ERK2 (by using an antibody already validated for RPPA) was then carried out on individual CCs and signals were detected for each individual sample. After normalisation by VCL, we showed that the level of expression of ERK2 was almost the same across the 13 individual CCs while the level of expression of SRC was different between the 13 individual CCs of the four patients and between the CCs from one individual patient.
The exquisite sensitivity of RPPA allowed detection of specific proteins in individual CCs. Although the validation of antibodies for RPPA is labour intensive, RRPA is a sensitive and quantitative technique allowing the detection of specific proteins from very small quantities of biological samples. RPPA may be of great interest in clinical diagnostics to predict the oocyte competence prior to transfer of the embryo using robust protein biomarkers expressed by CCs.
Defining the developmental ability of an embryo during in vitro fertilisation remains a major challenge both in humans and domestic mammals. Morphological criteria are most frequently used to evaluate the developmental and implantation ability of the embryos in human assisted-reproductive technology (ART). However, such morphological criteria (zygote scoring, early cleavage and embryo morphology at day 2 or 3) remain poorly predictive of developmental or implantation ability . Direct studies, such as genomic or proteomic analyses, are difficult in human embryos, since such approaches remains invasive and might alter the embryo integrity . Therefore ART laboratories need some indirect and non-invasive selection criteria .
Various studies reported on molecules inside the follicle or the embryo microenvironment through proteomic and metabolomic analysis of oocytes or embryos  and have identified potential biomarkers of oocyte or embryo quality. Other studies focused on the somatic cells (cumulus cells [CCs] and/or granulosa cells [GCs]) surrounding the oocyte since their interactions are involved in the acquisition of oocyte meiotic and developmental competence . Indeed, specific oocyte factors are involved in the differentiation and expansion of CCs, and prevent the apoptosis and luteinisation of the oocyte-cumulus complex (see  for review). Via these interactions, the oocyte may promote specific patterns of gene and protein expression in CCs [7, 8]. Recently, specific transcriptomes of cumulus cells were identified according to oocyte chromatin morphology in animals  or to oocyte chromosome status in humans . Moreover, potential biomarkers of oocyte competence in humans and animals were proposed, based on expression of specific genes in CCs [11, 12]. Indeed, the fact that protein translation is a highly regulated process implies that mRNA abundance does not always correlate with the level of the corresponding proteins. Such discrepancies might be explained by differences in mRNA stability, degradation/synthesis rates or post-translational modification of the proteins. Therefore, one can guess that, at least in some instances, parallel measurements of a given transcript and the corresponding protein could lead to increased robustness and predictive value of biomarkers. Despite the fact that the ultimate effectors in cells remain the proteins, few studies have addressed CC proteome analysis, mainly because of a lack of sensitivity of the techniques. The global protein expression pattern of human individual CCs was investigated by two-dimensional polyacrylamide gel electrophoresis according to ovarian stimulation protocol without identification of specific proteins linked to oocyte competence . The CC proteome was explored by mass spectrometry and Western blotting (WB) on pooled CCs and specific proteins implicated in fatty acid metabolism and pre-mRNA splicing according to maternal age were highlighted . However, to date no study investigating individual CC proteomes and specific proteins according to oocyte competence has been reported.
Over the last decade, protein microarray-based methods, such as Reverse Phase protein arrays (RPPA), which is a sensitive and quantitative technique allowing the detection of specific proteins in small quantities of biological samples, were applied to proteome analysis and allowed investigation of multiples target of a signalling pathway in the same biological sample . Briefly, the principle of this approach is to coat biological samples from the cohort of patients on nitrocellulose-covered glass slides and probe the slides with specific antibodies. The sample is printed in serial dilutions that allow quantification. Interestingly, RPPA is a cost- and material-effective technique compared to standard approaches for biomarker validation such as ELISA or Luminex assays and has been used in cancer research to develop better markers for diagnosis, prognosis and treatment-outcome prediction [16, 17]. Importantly, in the present study we used an improved RPPA procedure by combining near infrared detection and signal amplification protocols that were previously described by Dupuy et al. . This approach leads to minimal background signal and an exquisite signal/noise ratio.
In the present study, we tested the ability of RPPA to detect and analyse the expression level of specific proteins in individual human cumulus cells as potential biomarkers of oocyte developmental competence. Our previous study identified a transcriptome of 308 genes in the human cumulus cells that were differentially expressed according to the oocyte developmental competence . The proteins v-src avian sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (SRC) and regulator of G-protein signalling 2 (RGS2) were selected among these 308 genes. The protein vinculin (VCL) was selected as the reference protein in cumulus cells. The antibodies targeting the selected biomarkers were then validated for RPPA through small interfering RNA (siRNA)-mediated selective knockdowns in HEK293 cells. Following their validation, three antibodies were tested on individual CCs.
Cumulus cells recovery
Cell culture and small interfering RNA (siRNA) transfection
HEK293 cells were grown in Minimum Essential Medium eagle (MEM) (Sigma-Aldrich, St Louis, MO, USA), supplemented with 10% Foetal Bovine Serum (FBS, Sigma-Aldrich) and antibiotics (100 U/mL penicillin, 100 mg/mL streptomycin) (Sigma-Aldrich) at 37°C with 5% CO2 in a humidified atmosphere. The siRNA transfection was done according to the manufacturer’s recommendations. Briefly, cells were seeded at a density of 2x104 cells/well in 6-well plates and were then cultivated for 24 h at 37°C and 5% CO2. Prior to transfection, complete medium was replaced with antibiotic-free medium. Cells were transfected with 10 μl of siRNA targeting VCL, RGS2, SRC or glyceraldehyde-3-phosphate dehydrogenase (GAPDH, used as positive control), all purchased from Dharmacon (Lafayette, CO, USA). For each target, four individual siRNAs were pooled. Non-silencing siRNA control was also purchased from Dharmacon. siRNA were transfected by using 10 μl of Dharmafect (Dharmacon, Lafayette, CO, USA). Cells were harvested after 72 h of incubation.
The lysis buffer (MPER, Thermo Scientific) was supplemented with protease inhibitor (miniComplete, Roche) and phosphatase inhibitor (complete ultra tablet, Roche).
HEK293 cells transfected with siRNA were trypsinized, pelleted, suspended in 50 μl of lysis buffer and lysed for 20 min at 4°C on a rotating wheel. After centrifugation, approximately 50 μl of protein extract was obtained.
Individual and pooled CCs were suspended in 40 μl of lysis buffer and lysed for 20 min at 4°C on a rotating wheel. After centrifugation, approximately 40 μl of total protein extract was obtained.
Western blotting (WB)
List of antibody targeting proteins of interest used for RPPA and WB
Company & reference
Validated for RPPA
Santa Cruz Biotechnology - #sc-154
Rabbit - pAb
Cell Signaling - #5174
Rabbit - mAb
Cell Signaling - #2109
Rabbit - mAb
Sigma-Aldricht - #V9131
Mouse - mAb
Abnova - #H00005997-M01
Mouse - mAb
Reverse phase protein array (RPPA)
For each transfection, a five-fold dilution of cell lysate was spotted in two replicates on the array. Total cell lysate of 16 individual CCs from two patients were pooled and used to determine the threshold of sensitivity of RPPA. Samples were spotted in two replicates using a 32-pin manual arrayer (Glass Slide Microarrayer, VP478, V&P Scientific, San Diego, CA, USA). According to the manufacturer’s indications, 3–13 nL of sample was spotted on the slide (Fast Slides, Whatman, Maidstone, UK) per array pin touch. An eight-fold dilution corresponding to a range of 16 to 0.125 equivalents CCs was spotted on the array.
Total cells lysate of 13 individual CCs of four patients were analysed by RPPA and a two-fold dilution corresponding to a range of 0.5 to 0.25 equivalents CCs was spotted in two replicates.
Antibodies targeting selected proteins were the same as those used for WB. None of them were validated for RPPA prior to this study except anti-ERK2 . Antibody concentrations are listed in Table 1. RPPA was adapted from . Briefly, desiccated nitrocellulose-coated Fast-slides were printed with samples, using a 32-pin manual arrayer and desiccated again overnight. The immunodetection procedure was adapted from . All antibodies were pre-cleared in FBS for 1 h at 37°C prior to use. After rehydration with PBS-Tween-20 0.1% (PBST), slides were blocked overnight at 4°C with 3% casein in PBST. Slides were probed with antibodies (listed in Table 1) for 3 h at room temperature (RT) in PBST with 20% FBS (PBST-FBS). Slides then were washed three times for 5 min with three rinses of PBST between washes and then probed for 45 min at RT with peroxidase-conjugated F(ab’)2 fragment donkey anti-rabbit IgG (1:2000) (Jackson ImmunoResearch Laboratories) or peroxidase-conjugated F(ab’)2 fragment goat anti-mouse IgG (1:2000) (Jackson ImmunoResearch Laboratories) diluted in PBST-FBS. Slides were washed as previously described for signal amplification and slides were subsequently incubated for 10 min at RT with BioRad Amplification Reagent (Amplified Opti-4CN Substrate Kit, BioRad, Hercules, CA, USA). Then, slides were rinsed six times, washed once for 5 min in PBST with 20% DMSO (PBST-DMSO) and washed twice for 5 min and rinsed in PBST as above. Slides were then probed for 1 h at RT with streptavidin AlexaFluor 680 conjugate (0.2 mg/mL) (AF680-streptavidin; Invitrogen LifeTechnologies) in PBST-FBS. Finally, slides were air-dried by centrifugation at 2500 rpm for 15 min and scanned at 700 nm with the Odyssey IR imaging system (LI-COR Biosciences, Lincoln, NE, USA) at 42-μm resolution.
Scanned images of arrays were analysed with GenePix Pro6.0 software (Molecular Devices, Sunnyvale, CA, USA).
Validation of antibodies
For WB, signal intensities were determined for each point with subtraction of minimum profile background. Signal intensity of the protein of interest was normalised by the signal of VCL, which was used as a protein of reference, or by the signal of ERK2 (for the validation of anti-VCL) to calculate the relative expression level. Different exposure times were compared for each WB experiment in order to avoid signal saturation. For RPPA, the mean value of intensity was determined for each spot with subtraction of the local background intensity. The mean value of intensity of the protein of interest was normalised by the mean value of intensity of VCL (protein of reference) or by the signal of ERK2 (for the validation of anti-VCL) to calculate the relative expression level. Pearson correlation analysis was performed between the dilution and the signal intensity (GraphPad Prism 5 Software, San Diego, CA, USA). Knockdown efficiency of the targeted proteins was estimated by comparing the signal intensity of the targeted protein normalised to a reference protein (VCL and ERK2) in siRNA-treated cells versus control siRNA-treated cells (arbitrarily chosen as 100%).
Reverse phase protein array on human cumulus cells
The intensity of each spot was obtained after subtracting the local background intensity. Signal intensity is expressed for each sample as mean ± standard deviation (SD) of the intensity of the two replicates. The mean value of intensity of ERK2 and SRC was normalised by the mean value of intensity of VCL (protein reference) to calculate the level of expression in each individual CC.
Validation of antibodies
Therefore, the antibodies targeting VCL, ERK2 and SRC were used for the detection of the proteins in human CCs.
Reverse phase protein array on human cumulus cells
Defining sensitivity and threshold of RPPA on a pool of 16 human cumulus cells.
The sensitivity of RPPA was evaluated on a pool of 16 human cumulus by assessing the signal observed with the validated antibodies using serial dilutions of the pool while the lowest level of detection was determined.
Detection of proteins of interest in individual human cumulus cells
The detection of protein SRC, ERK2 and VCL was then carried out on 13 individual CCs. Signals were detected for each sample of individual CCs (i.e. 0.5 equivalents of individual CCs) for the three proteins and remained detectable at 0.25 equivalents of individual CCs in all 13 cumulus analysed (see Additional file 4: Figure S1). Moreover, the signal intensities of the three proteins were significantly correlated with the two dilutions corresponding to the equivalent of 0.5 CCs and 0.25 equivalents of CCs (p < 0.0001 for ERK2 and VCL, p < 0.002 for SRC respectively) (see Additional file 5: Table S3).
In this study, we demonstrated that RPPA combining near-infrared (NIR) dyes can be applied to human cumulus cells to measure potential biomarkers of oocyte competence. ERK2 proteins were detectable in individual human cumulus. Moreover, after validation by the siRNA approach in HEK293 cells of the antibodies targeting VCL and SRC, we were able to detect these two proteins of interest with the same sensitivity.
Defining embryo quality with non-invasive methods continues to be the major goal in ART while morphological criteria of early embryo development to predict further development or implantation remain poorly predictive . Various approaches involving transcriptomics, proteomics and metabolomics on the embryo or its cellular or non-cellular environment have been proposed (see  for review). The cumulus cells surrounding the oocyte may be targeted to develop a non-invasive method to investigate the oocyte developmental competence and several studies have already identified biomarkers by transcriptomic analysis . While the proteins remain the final effectors in the cells, no link between the product of these mRNAs (i.e. proteins) and the oocyte competence has been established to date. This is due, in large part, to a lack of technology sensitive enough to analyse specific proteins from the minute amount of cumulus cells available.
Protein microarray-based methods, particularly RPPA, are very sensitive and allow the detection of multiple specific targeted proteins in small quantities of biological material compared to Western blotting. Indeed, WB needs protein from 5 × 105 cells whereas RPPA requires nanoliters of protein lysate (picograms to femtograms of protein) from the equivalent of 200 cells . Compared to mass spectrometry, which may need further identification of the highlighted proteins, RPPA targets only specific proteins. Moreover, mass spectrometry requires heavy and expensive equipment compared to RPPA. RPPA has been successfully applied to biomarker profiling in cancer diseases (see  for review). In this context, we thought that RPPA could be used to evaluate the level of protein expression of specific proteins as biomarkers of oocyte developmental competence in cumulus cells. In order to achieve a proof of concept, we used two potential biomarkers RGS2 [19, 26] and SRC (data not shown) and a housekeeping protein VCL, which was used as a reference protein.
As a first step, we used siRNA targeting the proteins of interest in HEK293 cells as a mean to validate the antibodies for their use in RPPA . The knockdown efficiencies estimated by RPPA were close to those observed by Western blotting for SRC, VCL and GAPDH, thus allowed us to validate these antibodies for RPPA. In contrast, the knockdown efficiencies measured by WB and by RPPA for RGS2 did not allow us to validate this antibody for RPPA, even though no dominant non-specific band was observed for this antibody by WB. This might be explained by the experimental changes between the techniques. Indeed, the interactions between the epitope of the proteins and the paratope of the antibody might be modulated by the physico-chemical conditions such as the temperature, the pH of the buffers or the concentration of the detergent. Furthermore, the protein conformation might modify these interactions. Finally, the antibody targeting RGS2 was designed against a fragment of recombinant RGS2, which might lead to non-specific binding.
RPPA sensitivity was assessed on pooled then individual human CCs using the validated antibodies. The study by Dupuy et al. showed that RPPA combined with amplified NIR dyes allow the detection of phosphorylated proteins in less than 1 ng of total cell extract. Moreover, using NIR dyes allowed them to detect ERK2 protein in the equivalent of two HEK293 cells printed per spot. This work showed the extreme sensitivity of the techniques that could be applied to the research on a small amount of biological sample such as cumulus cells. In line with this work, we showed that ERK2 protein can be detected for a dilution corresponding to less than one cell of an individual human cumulus printed per spot. Furthermore, VCL and SRC proteins were detected with the same range of sensitivity.
Even though antibody validation remains a challenging problem, RPPA seems to be a useful technology for biomarker detection for clinical diagnostics in individual cumulus cells (sensitive, high throughput, and cost- and material-effective) compared to WB, 2D electrophoresis and mass spectrometry, which have already been tested on human cumulus cells. The siRNA approach has shown its efficiency for antibody validation [27, 28]. However, this approach is limited by the protein characteristics (i.e. turn-over of synthesis, half-life and cellular function) and requires specific development for each target. In this context, siRNA is not optimal for rapid and high throughput validation of a large collection of antibodies. Alternatively, overexpression of the targeted protein by plasmid transfection might be a better alternative for future antibody validations.
In conclusion, we demonstrate for the first time that RPPA combined with NIR dyes could be applied to individual human CCs to specifically detect and quantify proteins. We validated three antibodies for RPPA use through the siRNA approach to analyse specific proteins. Thereby, RPPA could be used to target specific proteins as potential biomarkers of oocyte competence in human CCs such as ERK2 and SRC. Our next steps will be to test these two proteins in individual CCs as biomarkers of oocyte developmental competence, to validate new antibody targeting RGS2 and to search for other biomarkers at protein level from transcriptomics study.
We thank R. Bidault, O. Gasnier, C. Jamet, M. Lemseffer and M.H. Saussereau for collection of the human material and embryo observation. Drs Cornuau, Couet, Gervereau, Lanoue, Lecomte and Ract, for referring the couples. We thank T. Boulo for his advises and its help for RPPA. The English was revised at proof-reading-service.com (http://www.proof-reading-service.com).
This work was supported by Merck Serono Grant for Fertility Innovation Award 2010. Puard V. was supported by an INRA/Merck Serono fellowship. These fellowships were shared between public funding (Institut National de Recherche Agronomique) and private funding without any interference with research program. This does not alter the authors’ adherence to all the Reproductive Biology and Endocrinology policies on sharing data and materials.
- Guerif F, Lemseffer M, Leger J, Bidault R, Cadoret V, Chavez C, Gasnier O, Saussereau MH, Royere D: Does early morphology provide additional selection power to blastocyst selection for transfer?. Reprod Biomed Online. 2010, 21: 510-519. 10.1016/j.rbmo.2010.06.043.View ArticlePubMedGoogle Scholar
- Jones GM, Cram DS, Song B, Kokkali G, Pantos K, Trounson AO: Novel strategy with potential to identify developmentally competent IVF. Hum Reprod. 2008, 23: 1748-1759. 10.1093/humrep/den123.View ArticlePubMedGoogle Scholar
- Pearson H: Safer embryo tests could boost IVF pregnancy rates. Nature. 2006, 44: 12-13.View ArticleGoogle Scholar
- Royere D, Feuerstein P, Cadoret V, Puard V, Uzbekova S, Dalbies-Tran R, Teusan R, Houlgatte R, Labas V, Guerif F: Non invasive assessment of embryo quality: proteomics, metabolomics and oocyte-cumulus dialogue. Gynecol Obstet Fertil. 2009, 37: 917-920. 10.1016/j.gyobfe.2009.09.016.View ArticlePubMedGoogle Scholar
- Gilchrist RB, Lane M, Thompson JG: Oocyte-secreted factors: regulators of cumulus cell function and oocyte quality. Hum Reprod Update. 2008, 14: 159-177. 10.1093/humupd/dmm040.View ArticlePubMedGoogle Scholar
- Gilchrist RB, Ritter LJ, Armstrong DT: Oocyte-somatic cell interactions during follicle development in mammals. Anim Reprod Sci. 2004, 82–83: 431-446.View ArticlePubMedGoogle Scholar
- Hernandez-Gonzalez I, Gonzalez-Robayna I, Shimada M, Wayne CM, Ochsner SA, White L, Richards JS: Gene expression profiles of cumulus cell oocyte complexes during ovulation reveal cumulus cells express neuronal and immune-related genes: does this expand their role in the ovulation process?. Mol Endocrinol. 2006, 20: 1300-1321.View ArticlePubMedGoogle Scholar
- Su Y-Q, Sugiura K, Wigglesworth K, O’Brien MJ, Affourtit JP, Pangas SA, Matzuk MM, Eppig JJ: Oocyte regulation of metabolic cooperativity between mouse cumulus cells and oocytes: BMP15 and GDF9 control cholesterol biosynthesis in cumulus cells. Development. 2008, 135: 111-121.View ArticlePubMedGoogle Scholar
- Vigone G, Merico V, Prigione A, Mulas F, Sacchi L, Gabetta M, Bellazzi R, Redi C, Mazzini G, Adjaye J, et al: Transcriptome based identification of mouse cumulus cell markers that predict the developmental competence of their enclosed antral oocytes. BMC Genomics. 2013, 14: 380-10.1186/1471-2164-14-380.PubMed CentralView ArticlePubMedGoogle Scholar
- Fragouli E, Wells D, Iager AE, Kayisli UA, Patrizio P: Alteration of gene expression in human cumulus cells as a potential indicator of oocyte aneuploidy. Hum Reprod. 2012, 27: 2559-2568. 10.1093/humrep/des170.View ArticlePubMedGoogle Scholar
- Assou S, Haouzi D, De Vos J, Hamamah S: Human cumulus cells as biomarkers for embryo and pregnancy outcomes. Mol Hum Reprod. 2010, 16: 531-538. 10.1093/molehr/gaq032.View ArticlePubMedGoogle Scholar
- Uyar A, Torrealday S, Seli E: Cumulus and granulosa cell markers of oocyte and embryo quality. Fertil Steril. 2013, 99: 979-997. 10.1016/j.fertnstert.2013.01.129.View ArticlePubMedGoogle Scholar
- Hamamah S, Matha V, Berthenet C, Anahory T, Loup V, Dechaud H, Hedon B, Fernandez A, Lamb N: Comparative protein expression profiling in human cumulus cells in relation to oocyte fertilization and ovarian stimulation protocol. Reprod Biomed Online. 2006, 13: 807-814. 10.1016/S1472-6483(10)61028-0.View ArticlePubMedGoogle Scholar
- McReynolds S, Dzieciatkowska M, McCallie BR, Mitchell SD, Stevens J, Hansen K, Schoolcraft WB, Katz-Jaffe MG: Impact of maternal aging on the molecular signature of human cumulus cells. Fertil Steril. 2012, 98: 1574-1580. 10.1016/j.fertnstert.2012.08.012.View ArticlePubMedGoogle Scholar
- Charboneau L, Tory H, Chen T, Winters M, Petricoin EF, Liotta LA, Paweletz CP: Utility of reverse phase protein arrays: applications to signalling pathways and. Brief Funct Genomic Proteomic. 2002, 1: 305-315. 10.1093/bfgp/1.3.305.View ArticlePubMedGoogle Scholar
- Grote T, Siwak DR, Fritsche HA, Joy C, Mills GB, Simeone D, Whitcomb DC, Logsdon CD: Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer. Proteomics. 2008, 8: 3051-3060. 10.1002/pmic.200700951.PubMed CentralView ArticlePubMedGoogle Scholar
- Tibes R, Qiu Y, Lu Y, Hennessy B, Andreeff M, Mills GB, Kornblau SM: Reverse phase protein array: validation of a novel proteomic technology and utility for analysis of primary leukemia specimens and hematopoietic stem cells. Mol Cancer Ther. 2006, 5: 2512-2521. 10.1158/1535-7163.MCT-06-0334.View ArticlePubMedGoogle Scholar
- Dupuy L, Gauthier C, Durand G, Musnier A, Heitzler D, Herledan A, Sakanyan V, Crépieux P, Reiter E: A highly sensitive near-infrared fluorescent detection method to analyze signalling pathways by reverse-phase protein array. Proteomics. 2009, 9: 5446-5454. 10.1002/pmic.200900209.View ArticlePubMedGoogle Scholar
- Feuerstein P, Puard V, Chevalier C, Teusan R, Cadoret V, Guerif F, Houlgatte R, Royere D: Genomic assessment of human cumulus cell marker genes as predictors of oocyte developmental competence: impact of various experimental factors. PLoS One. 2012, 7: e40449-10.1371/journal.pone.0040449.PubMed CentralView ArticlePubMedGoogle Scholar
- Feuerstein P, Cadoret V, Dalbies-Tran R, Guerif F, Bidault R, Royere D: Gene expression in human cumulus cells: one approach to oocyte competence. Hum Reprod. 2007, 22: 3069-3077. 10.1093/humrep/dem336.View ArticlePubMedGoogle Scholar
- Guerif F, Cadoret V, Poindron J, Lansac J, Royere D: Overnight incubation improves selection of frozen-thawed blastocysts for. Theriogenology. 2003, 60: 1457-1466. 10.1016/S0093-691X(03)00130-4.View ArticlePubMedGoogle Scholar
- Chan SM, Ermann J, Su L, Fathman CG, Utz PJ: Protein microarrays for multiplex analysis of signal transduction pathways. Nat Med. 2004, 10: 1390-1396. 10.1038/nm1139.View ArticlePubMedGoogle Scholar
- Guerif F, Le Gouge A, Giraudeau B, Poindron J, Bidault R, Gasnier O, Royere D: Limited value of morphological assessment at days 1 and 2 to predict blastocyst. Hum Reprod. 2007, 22: 1973-1981. 10.1093/humrep/dem100.View ArticlePubMedGoogle Scholar
- Seli E, Robert C, Sirard MA: OMICS in assisted reproduction: possibilities and pitfalls. Mol Hum Reprod. 2010, 16: 513-530. 10.1093/molehr/gaq041.View ArticlePubMedGoogle Scholar
- Mueller C, Liotta LA, Espina V: Reverse phase protein microarrays advance to use in clinical trials. Mol Oncol. 2010, 4: 461-481. 10.1016/j.molonc.2010.09.003.PubMed CentralView ArticlePubMedGoogle Scholar
- Hamel M, Dufort I, Robert C, Leveille MC, Leader A, Sirard MA: Genomic assessment of follicular marker genes as pregnancy predictors for human IVF. Mol Hum Reprod. 2009, 16: 87-96.View ArticlePubMedGoogle Scholar
- Mannsperger HA, Uhlmann S, Schmidt C, Wiemann S, Sahin Ö, Korf U: RNAi-based validation of antibodies for reverse phase protein arrays. Proteome Sci. 2010, 8: 69-10.1186/1477-5956-8-69.PubMed CentralView ArticlePubMedGoogle Scholar
- Hennessy BT, Lu Y, Gonzalez-Angulo AM, Carey MS, Myhre S, Ju Z, Davies MA, Liu W, Coombes K, Meric-Bernstam F, et al: A technical assessment of the utility of reverse phase protein arrays for the study of the functional proteome in non-microdissected human breast cancers. Clin Proteomics. 2010, 6: 129-151. 10.1007/s12014-010-9055-y.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.