263 USE OF PORCINE PARTHENOTES AND GENE EXPRESSION PROFILING USING MICROARRAYS FOR IDENTIFICATION OF IMPRINTED GENES

2006 ◽  
Vol 18 (2) ◽  
pp. 239
Author(s):  
J. Piedrahita ◽  
S. Bischoff ◽  
J. Estrada ◽  
B. Freking ◽  
D. Nonneman ◽  
...  

Genomic imprinting arises from differential epigenetic markings including DNA methylation and histone modifications and results in one allele being expressed in a parent-of-origin specific manner. For further insight into the porcine epigenome, gene expression profiles of parthenogenetic (PRT; two maternally derived chromosome sets) and biparental embryos (BP; one maternal and one paternal set of chromosomes) were compared using microarrays. Comparison of the expression profiles of the two tissue types permits identification of both maternally and paternally imprinted genes and thus the degree of conservation of imprinted genes between swine and other mammalian species. Diploid porcine parthenogenetic fetuses were generated using follicular oocytes (BOMED, Madison, WI, USA). Oocytes with a visible polar body were activated using a single square pulse of direct current of 50 V/mm for 100 �s and diploidized by culture in 10 �g/mL cycloheximide for 6 h to limit extrusion of the second polar body. Following culture, BP embryos obtained by natural matings, and PRT embryos, were surgically transferred to oviducts on the first day of estrus. Fetuses recovered at 28-30 days of gestation were dissected to separate viscera including brain, liver, and placenta; the visceral tissues were then flash-frozen in liquid nitrogen. Porcine fibroblast tissue was obtained from the remaining carcass by mincing, trypsinization, and plating cells in �-MEM. Total RNA was extracted from frozen tissue or cell culture using RNA Aqueous kit (Ambion, Austin, TX, USA) according to the manufacturer's protocol. Gene expression differences between BP and PRT tissues were determined using the GeneChip� Porcine Genome Array (Affymetrix, Santa Clara, CA) containing 23 256 transcripts from Sus scrofa and representing 42 genes known to be imprinted in human and/or mice. Triplicate arrays were utilized for each tissue type, and for PRT versus BP combination. Significant differential gene expression was identified by a linear mixed model analysis using SAS 5.0 (SAS Institute, Cary, NC, USA). Storey's q-value method was used to correct for multiple testing at q d 0.05. The following genes were classified as imprinted on the basis of their expression profiles: In fibroblasts, ARHI, HTR2A, MEST, NDN, NNAT, PEG3, PLAGL1, PEG10, SGCE, SNRPN, and UBE3A; in liver, IGF2, PEG3, PLAGL1, PEG10, and SNRPN; in placenta, HTR2A, IGF2, MEST, NDN, NNAT, PEG3, PLAGL1, PEG10, and SNRPN; and in brain, none. Additionally, several genes not known to be imprinted in humans/mice were highly differentially expressed between the two tissue types. Overall, utilizing the PRT models and gene expression profiles, we have identified thirteen genes where imprinting is conserved between swine and humans/mice, and several candidate genes that represent potentially imprinted genes. Presently, our efforts are focused in the identification of single nucleotide polymorphisms (SNPs) to more carefully evaluate the behavior of these genes in normal and abnormal gestations and to test whether the candidate genes are indeed imprinted. This research was supported by USDA-CSREES grant 524383 to J. P. and B. F.

2006 ◽  
Vol 18 (2) ◽  
pp. 233
Author(s):  
N.-H. Kim ◽  
S.-K. Cho ◽  
X.-Y. Li ◽  
X.-H. Shen ◽  
X.-S. Cui

Following parthenogenetic activation, in the absence of a male contribution, oocytes progress into early gestation. To gain insight into the role of the paternal genome during pre-implantation development, we used microarray to compare gene expression profiles in pre-implantation embryos following fertilization and parthenogenetic activation. Fertilized embryos and oocytes were collected from superovulated C57BL/6J female mice. The oocytes were activated with 50 �M calcium ionophore A23187 for 5 min. After 5 h of culture in M16 medium with 7.5 �g/mL cytochalasin B, oocytes with one polar body and two pronuclei were used in this experiment. The activated oocytes and zygotes were cultured in M16 to the blatocyst stage. Messenger RNA from 50 blastocysts was extracted by means of the Dynabeads mRNA Direct Kit (Dynal, Oslo, Norway), and then linearly amplified for two rounds using the RiboAmp HS RNA Amplification Kit (Arcturus Bioscience, Inc., Mountain View, CA, USA). A set of cRNA targets from the embryos was assembled into a hybridization reaction on the Applied Biosystems 1700 chemiluminescent microarray analyzer (Jung Hwa Scientific Co., Ltd., Seoul, Korea). Each set was repeated three times. All of the correlation coefficients were above 0.9 for experiment replications. Differences in microarray intensities were normalized and grouped by using the Avadis Prophetic 3.3 version, and categories are based on the PANTHER classification system. According to the cDNA microarray data, we additionally categorized genes into transcription- and developmental process-related genes and compared them in both fertilized and parthenogenetically activated blastocysts. Five transcription-related genes (Goosecoid, transcription factor 1, LIM domain, Spi-C transcription factor, and hypoxia inducible factor 3) and seven developmental process related genes (metaxin 1, serine/threonine kinase 22, stromal antigen, butyrophilin, anti-Mullerian hormone type 2 receptor, prolactin-like protein C2, and otoconin 90) were identified in the fertilized blastocysts compared to the blastocyst-stage parthenotes. In contrast, seven transcription- (Amnionless, EHOX-like, calcium signal transducer 2, nuclear receptor 0B, transcription factor CP2, Iroquois related homeobox 3, and zinc finger protein 3) and eight developmental process-related genes (prion protein dublet, X-linked lymphocyte-regulated 3a, muscleblind-like 3, stathmin-like 2, SRY-box-containing gene 7, ephrin B1, muscleblind-like 3, and Iroquois-related homeobox 3) were expressed at a higher level in parthenotes than in fertilized blastocysts. These genes were selected, and their expression levels confirmed, by real-time quantitative RT-PCR. The results indicate that diploid parthenotes at the blastocyst stage may lack or over express genes related to transcription and development processes which possibly result in fetal lethality. Further studies are required to determine whether aberrant gene expression in parthenotes is due to lack of paternal contribution. This work was funded by a grant from the National Research Laboratory Program in Korea.


2007 ◽  
Vol 32 (1) ◽  
pp. 45-57 ◽  
Author(s):  
Shantel Weinsheimer ◽  
Guy M. Lenk ◽  
Monique van der Voet ◽  
Susan Land ◽  
Antti Ronkainen ◽  
...  

Intracranial aneurysm (IA) is a complex genetic disease for which, to date, 10 loci have been identified by linkage. Identification of the risk-conferring genes in the loci has proven difficult, since the regions often contain several hundreds of genes. An approach to prioritize positional candidate genes for further studies is to use gene expression data from diseased and nondiseased tissue. Genes that are not expressed, either in diseased or nondiseased tissue, are ranked as unlikely to contribute to the disease. We demonstrate an approach for integrating expression and genetic mapping data to identify likely pathways involved in the pathogenesis of a disease. We used expression profiles for IAs and nonaneurysmal intracranial arteries (IVs) together with the 10 reported linkage intervals for IA. Expressed genes were analyzed for membership in Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathways. The 10 IA loci harbor 1,858 candidate genes, of which 1,561 (84%) were represented on the microarrays. We identified 810 positional candidate genes for IA that were expressed in IVs or IAs. Pathway information was available for 294 of these genes and involved 32 KEGG biological function pathways represented on at least 2 loci. A likelihood-based score was calculated to rank pathways for involvement in the pathogenesis of IA. Adherens junction, MAPK, and Notch signaling pathways ranked high. Integration of gene expression profiles with genetic mapping data for IA provides an approach to identify candidate genes that are more likely to function in the pathology of IA.


2016 ◽  
Vol 50 (6) ◽  
pp. 686-690 ◽  
Author(s):  
Shuanghai Dong ◽  
Tian Xia ◽  
Lei Wang ◽  
Qinghua Zhao ◽  
Jiwei Tian

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Nina Hauptman ◽  
Emanuela Boštjančič ◽  
Margareta Žlajpah ◽  
Branislava Ranković ◽  
Nina Zidar

Colorectal cancer (CRC) is one of the leading causes of death by cancer worldwide. Bowel cancer screening programs enable us to detect early lesions and improve the prognosis of patients with CRC. However, they also generate a significant number of problematic polyps, e.g., adenomas with epithelial misplacement (pseudoinvasion) which can mimic early adenocarcinoma. Therefore, biomarkers that would enable us to distinguish between adenoma with epithelial misplacement (pseudoinvasion) and adenoma with early adenocarcinomas (true invasion) are needed. We hypothesized that the former are genetically similar to adenoma and the latter to adenocarcinoma and we used bioinformatics approach to search for candidate genes that might be potentially used to distinguish between the two lesions. We used publicly available data from Gene Expression Omnibus database and we analyzed gene expression profiles of 252 samples of normal mucosa, colorectal adenoma, and carcinoma. In total, we analyzed 122 colorectal adenomas, 59 colorectal carcinomas, and 62 normal mucosa samples. We have identified 16 genes with differential expression in carcinoma compared to adenoma:COL12A1,COL1A2,COL3A1, DCN, PLAU, SPARC, SPON2, SPP1,SULF1,FADS1, G0S2, EPHA4, KIAA1324,L1TD1, PCKS1, andC11orf96. In conclusion, ourin silicoanalysis revealed 16 candidate genes with different expression patterns in adenoma compared to carcinoma, which might be used to discriminate between these two lesions.


2021 ◽  
Author(s):  
Jens Theine ◽  
Daniela Holtgräwe ◽  
Katja Herzog ◽  
Florian Schwander ◽  
Anna Kicherer ◽  
...  

Background Grapevine cultivars of the Pinot family represent in the broader sense clonally propagated mutants with clear-cut phenotypes, such as different color or shifted ripening time, that result in major phenotypic and physiological differences as well as changes in important viticultural traits. Specifically, the cultivars 'Pinot Noir' (PN) and 'Pinot Noir Precoce' (PNP, early ripening) flower at the same time, but vary for the beginning of berry ripening (véraison) and consequently for the harvest time. Apart from the genotype, seasonal climatic conditions (i.e. high temperatures) also affect ripening times. To reveal possible ripening-regulatory genes affecting the timing of the start of ripening, we investigated differences in gene expression profiles between PN and PNP throughout berry development with a closely meshed time series and in two years. Results The difference in the duration of berry formation between PN and PNP was quantified to be about two weeks under the growth conditions applied, using plant material with a proven clonal relationship of PN and PNP. Clusters of co-expressed genes and differentially expressed genes (DEGs) were detected which reflect the shift in the beginning of ripening at the level of gene expression profiles. Functional annotation of these DEGs fits to phenotypic and physiological changes during berry development. In total, we observed between PN and PNP 3,342 DEGs in 2014 and 2,745 DEGs in 2017. The intersection of both years comprises 1,923 DEGs. Among these, 388 DEGs were identified as véraison-specific and 12 were considered as candidates for a regulatory effect on berry ripening time. The expression profiles revealed two candidate genes for Ripening Time Control, designated VviRTIC1 and VviRTIC2 (VIT_210s0071g01145 and VIT_200s0366g00020, respectively) that may contribute to controlling the phenotypic difference between PN and PNP. Conclusions Many of the 1,923 DEGs identified show highly similar expression profiles in both cultivars as far as accelerated berry formation of PNP is concerned. Putative ripening-regulatory genes differentially expressed between PNP and PN as well as véraison-specific genes were identified. We point out potential connections of these genes to molecular events during berry development and discuss potential ripening time controlling candidate genes, two of which are already differentially expressed in the early berry development phase. Several down-regulated genes are annotated to encode auxin response factors / ARFs. Conceivably, changes in auxin signaling may realize the earlier ripening phenotype of PNP.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tianzhong Yang ◽  
Jingbo Niu ◽  
Han Chen ◽  
Peng Wei

Abstract Background Environmental exposures can regulate intermediate molecular phenotypes, such as gene expression, by different mechanisms and thereby lead to various health outcomes. It is of significant scientific interest to unravel the role of potentially high-dimensional intermediate phenotypes in the relationship between environmental exposure and traits. Mediation analysis is an important tool for investigating such relationships. However, it has mainly focused on low-dimensional settings, and there is a lack of a good measure of the total mediation effect. Here, we extend an R-squared (R$$^2$$ 2 ) effect size measure, originally proposed in the single-mediator setting, to the moderate- and high-dimensional mediator settings in the mixed model framework. Results Based on extensive simulations, we compare our measure and estimation procedure with several frequently used mediation measures, including product, proportion, and ratio measures. Our R$$^2$$ 2 -based second-moment measure has small bias and variance under the correctly specified model. To mitigate potential bias induced by non-mediators, we examine two variable selection procedures, i.e., iterative sure independence screening and false discovery rate control, to exclude the non-mediators. We establish the consistency of the proposed estimation procedures and introduce a resampling-based confidence interval. By applying the proposed estimation procedure, we found that 38% of the age-related variations in systolic blood pressure can be explained by gene expression profiles in the Framingham Heart Study of 1711 individuals. An R package “RsqMed” is available on CRAN. Conclusion R-squared (R$$^2$$ 2 ) is an effective and efficient measure for total mediation effect especially under high-dimensional setting.


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