252 DIFFERENCES IN GENE EXPRESSION PROFILES IN MOUSE FERTILIZED BLASTOCYSTS AND DIPLOID BLASTOCYST STAGE PARTHENOTES

2006 ◽  
Vol 18 (2) ◽  
pp. 233
Author(s):  
N.-H. Kim ◽  
S.-K. Cho ◽  
X.-Y. Li ◽  
X.-H. Shen ◽  
X.-S. Cui
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Developmental Process ◽  
Expression Profiles ◽  
Polar Body ◽  
Gene Expression Profiles ◽  
Blastocyst Stage ◽  
Calcium Signal ◽  
Ionophore A23187 ◽  
Parthenogenetic Activation

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.

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Expression Profiles ◽  
Mammalian Species ◽  
Polar Body ◽  
Gene Expression Profiles ◽  
Tissue Type ◽  
Imprinted Genes

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.

scholarly journals Transcriptional Repression by the Pho4 Transcription Factor Controls the Timing of SNZ1 Expression

2008 ◽  
Vol 7 (6) ◽  
pp. 949-957 ◽  
Author(s):  
Masafumi Nishizawa ◽  
Tae Komai ◽  
Nobuyuki Morohashi ◽  
Mitsuhiro Shimizu ◽  
Akio Toh-e
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcriptional Repression ◽  
Structural Changes ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Nutrient Sensing ◽  
Yeast Cells ◽  
Diauxic Shift

ABSTRACT Nutrient-sensing kinases play important roles for the yeast Saccharomyces cerevisiae to adapt to new nutrient conditions when the nutrient status changes. Our previous global gene expression analysis revealed that the Pho85 kinase, one of the yeast nutrient-sensing kinases, is involved in the changes in gene expression profiles when yeast cells undergo a diauxic shift. We also found that the stationary phase-specific genes SNZ1 and SNO1, whch share a common promoter, are not properly induced when Pho85 is absent. To examine the role of the kinase in SNZ1/SNO1 regulation, we analyzed their expression during the growth of various yeast mutants, including those affecting Pho85 function or lacking the Pho4 transcription factor, an in vivo substrate of Pho85, and tested Pho4 binding by chromatin immunoprecipitation. Pho4 exhibits temporal binding to the SNZ1/SNO1 promoter to down-regulate the promoter activity, and a Δpho4 mutation advances the timing of SNZ1/SNO1 expression. SNZ2, another member of the SNZ/SNO family, is expressed at an earlier growth stage than SNZ1, and Pho4 does not affect this timing, although Pho85 is required for SNZ2 expression. Thus, Pho4 appears to regulate the different timing of the expression of the SNZ/SNO family members. Pho4 binding to the SNZ1/SNO1 promoter is accompanied by alterations in chromatin structure, and Rpd3 histone deacetylase is required for the proper timing of SNZ1/SNO1 expression, while Asf1 histone chaperone is indispensable for their expression. These results imply that Pho4 plays positive and negative roles in transcriptional regulation, with both cases involving structural changes in its target chromatin.

scholarly journals Identifying Transcription Regulatory Elements in the Human and Mouse Genomes Using Tissue-specific Gene Expression Profiles

2007 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Amitava Karmaker ◽  
Kihoon Yoon ◽  
Mark Doderer ◽  
Russell Kruzelock ◽  
Stephen Kwek
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Binding Sites ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Tissue Specific Gene ◽  
Human And Mouse

Summary Revealing the complex interaction between trans- and cis-regulatory elements and identifying these potential binding sites are fundamental problems in understanding gene expression. The progresses in ChIP-chip technology facilitate identifying DNA sequences that are recognized by a specific transcription factor. However, protein-DNA binding is a necessary, but not sufficient, condition for transcription regulation. We need to demonstrate that their gene expression levels are correlated to further confirm regulatory relationship. Here, instead of using a linear correlation coefficient, we used a non-linear function that seems to better capture possible regulatory relationships. By analyzing tissue-specific gene expression profiles of human and mouse, we delineate a list of pairs of transcription factor and gene with highly correlated expression levels, which may have regulatory relationships. Using two closely-related species (human and mouse), we perform comparative genome analysis to cross-validate the quality of our prediction. Our findings are confirmed by matching publicly available TFBS databases (like TRANFAC and ConSite) and by reviewing biological literature. For example, according to our analysis, 80% and 85.71% of the targets genes associated with E2F5 and RELB transcription factors have the corresponding known binding sites. We also substantiated our results on some oncogenes with the biomedical literature. Moreover, we performed further analysis on them and found that BCR and DEK may be regulated by some common transcription factors. Similar results for BTG1, FCGR2B and LCK genes were also reported.

scholarly journals Self-reporting transposons enable simultaneous readout of gene expression and transcription factor binding in single cells

2019 ◽  
Author(s):  
Arnav Moudgil ◽  
Michael N. Wilkinson ◽  
Xuhua Chen ◽  
June He ◽  
Alex J. Cammack ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Single Cell ◽  
Binding Sites ◽  
Expression Profiles ◽  
Single Cells ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
Specific Cell

AbstractIn situ measurements of transcription factor (TF) binding are confounded by cellular heterogeneity and represent averaged profiles in complex tissues. Single cell RNA-seq (scRNA-seq) is capable of resolving different cell types based on gene expression profiles, but no technology exists to directly link specific cell types to the binding pattern of TFs in those cell types. Here, we present self-reporting transposons (SRTs) and their use in single cell calling cards (scCC), a novel assay for simultaneously capturing gene expression profiles and mapping TF binding sites in single cells. First, we show how the genomic locations of SRTs can be recovered from mRNA. Next, we demonstrate that SRTs deposited by the piggyBac transposase can be used to map the genome-wide localization of the TFs SP1, through a direct fusion of the two proteins, and BRD4, through its native affinity for piggyBac. We then present the scCC method, which maps SRTs from scRNA-seq libraries, thus enabling concomitant identification of cell types and TF binding sites in those same cells. As a proof-of-concept, we show recovery of cell type-specific BRD4 and SP1 binding sites from cultured cells. Finally, we map Brd4 binding sites in the mouse cortex at single cell resolution, thus establishing a new technique for studying TF biology in situ.

scholarly journals Effect of Huanglian Jiedu Decoction on Thoracic Aorta Gene Expression in Spontaneous Hypertensive Rats

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Gui-Hua Yue ◽  
Shao-Yuan Zhuo ◽  
Meng Xia ◽  
Zhuo Zhang ◽  
Yi-Wen Gao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Thoracic Aorta ◽  
Group Treatment ◽  
Developmental Process ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Smooth Muscle Contraction ◽  
Control Group ◽  
Hypertensive Rats ◽  
Altered Expression

Objective. Hypertension is one of the most common cardiovascular disorders with high mortality. Here we explored the antihypertension effects of Huanglian Jiedu Decoction (HJD) on thoracic aorta gene expression in spontaneous hypertensive rats.Methods. A rat model of spontaneous hypertension was used. The gene change profile of thoracic aorta after JHD treatment was assessed by GeneChip(GC) analysis using the Agilent Whole Rat Genome Oligo Microarray.Results. Hypertension induced 441 genes upregulated and 417 genes downregulated compared with the normal control group. Treatment of HJD resulted in 76 genes downregulated and 20 genes upregulated. GC data analysis showed that the majority of change genes were involved in immune system process, developmental process, and cell death.Conclusion. Hypertension altered expression of many genes that regulate various biological functions. HJD significantly reduced hypertension and altered the gene expression profiles of SHR rats. These changing genes were involved in many cellular functions such as regulating smooth muscle contraction, Ca(2+) homeostasis, and NO pathway. This study provides the potential novel insights into hypertension and antihypertension effects of HJD.

Oral propylene glycol modifies follicular fluid and gene expression profiles in cumulus–oocyte complexes and embryos in feed-restricted heifers

2018 ◽  
Vol 30 (3) ◽  
pp. 417 ◽  
Author(s):  
G. Gamarra ◽  
C. Ponsart ◽  
S. Lacaze ◽  
F. Nuttinck ◽  
A. Cordova ◽  
...  
Keyword(s):  
Gene Expression ◽  
Propylene Glycol ◽  
Follicular Fluid ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cumulus Cells ◽  
Blastocyst Stage ◽  
Control Group ◽  
In Vitro Production

Dietary supplementation with propylene glycol (PG) increases in vitro production of high-quality embryos in feed-restricted heifers. The aim of the present study was to evaluate the effects of PG in feed-restricted heifers on follicular fluid insulin and insulin-like growth factor (IGF) 1 concentrations, expression of IGF system genes in oocytes and cumulus cells and the expression of selected genes in blastocysts. Feed-restricted (R) heifers were drenched with water or PG during induced oestrous cycles (400 mL of PG or water/drench, daily drenching at 1600 hours for the first 9 days of the oestrous cycle). Ovum pick-up (OPU) was performed after superovulation to produce in vitro embryos and without superovulation to recover oocytes, cumulus cells and follicular fluid. OPU was also performed in a control group (not feed restricted and no drenching). Follicular fluid IGF1 concentrations were reduced by R, and PG restored IGF1 concentrations to those seen in the control group. In cumulus cells, expression of IGF1, IGF1 receptor (IGF1R) and IGF binding protein 4 (IGFBP4) was decreased in the R group, and fully (IGF1 and IGF1R) or partially (IGFBP4) restored to control levels by PG. Blastocyst perilipin 2 (PLIN2; also known as adipophilin), Bcl-2-associated X protein (BAX), SCL2A1 (facilitated glucose/fructose transporter GLUT1), aquaporin 3 (AQP3), DNA (cytosine-5)-methyltransferase 3A (DNMT3A) and heat shock 70-kDa protein 9 (HSPA9B) expression were decreased in R heifers; PG restored the expression of the last four genes to control levels. In conclusion, these results suggest that, during follicular growth, PG exerts epigenetic regulatory effects on gene expression in blastocyst stage embryos.

scholarly journals Effect of Paternal Genome Excess on the Developmental and Gene Expression Profiles of Polyspermic Zygotes in Rice

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 255
Author(s):  
Ryouya Deushi ◽  
Erika Toda ◽  
Shizuka Koshimizu ◽  
Kentaro Yano ◽  
Takashi Okamoto
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cell Stage ◽  
Paternal Genome ◽  
Zygote Development ◽  
Regulated Expression ◽  
Ap2 Transcription Factor ◽  
The One

Polyploid zygotes with a paternal gamete/genome excess exhibit arrested development, whereas polyploid zygotes with a maternal excess develop normally. These observations indicate that paternal and maternal genomes synergistically influence zygote development via distinct functions. In this study, to clarify how paternal genome excess affects zygotic development, the developmental and gene expression profiles of polyspermic rice zygotes were analyzed. The results indicated that polyspermic zygotes were mostly arrested at the one-cell stage after karyogamy had completed. Through comparison of transcriptomes between polyspermic zygotes and diploid zygotes, 36 and 43 genes with up-regulated and down-regulated expression levels, respectively, were identified in the polyspermic zygotes relative to the corresponding expression in the diploid zygotes. Notably, OsASGR-BBML1, which encodes an AP2 transcription factor possibly involved in initiating rice zygote development, was expressed at a much lower level in the polyspermic zygotes than in the diploid zygotes.

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