Thyroid hormones alter the transcriptome of in vitro-produced bovine blastocysts

Zygote ◽  
2015 ◽  
Vol 24 (2) ◽  
pp. 266-276 ◽  
Author(s):  
Fazl A. Ashkar ◽  
Tamas Revay ◽  
NaYoung Rho ◽  
Pavneesh Madan ◽  
Isabelle Dufort ◽  
...  
Keyword(s):  
Gene Expression ◽  
Thyroid Hormones ◽  
Differential Gene Expression ◽  
Expression Profiles ◽  
Early Embryo ◽  
Differentially Expressed ◽  
Average Cell ◽  
Regulatory Pathways ◽  
Differential Gene

SummaryThyroid hormones (THs) have been shown to improve in vitro embryo production in cattle by increasing blastocyst formation rate, and the average cell number of blastocysts and by significantly decreasing apoptosis rate. To better understand those genetic aspects that may underlie enhanced early embryo development in the presence of THs, we characterized the bovine embryonic transcriptome at the blastocyst stage, and examined differential gene expression profiles using a bovine-specific microarray. We found that 1212 genes were differentially expressed in TH-treated embryos when compared with non-treated controls (>1.5-fold at P < 0.05). In addition 23 and eight genes were expressed uniquely in control and treated embryos, respectively. The expression of genes specifically associated with metabolism, mitochondrial function, cell differentiation and development were elevated. However, TH-related genes, including those encoding TH receptors and deiodinases, were not differentially expressed in treated embryos. Furthermore, the over-expression of 52 X-chromosome linked genes in treated embryos suggested a delay or escape from X-inactivation. This study highlights the significant impact of THs on differential gene expression in the early embryo; the identification of TH-responsive genes provides an insight into those regulatory pathways activated during development.

280 INDISTINGUISHABLE TRANSCRIPTIONAL PROFILES BETWEEN IN VIVO- AND IN VITRO-PRODUCED BOVINE FETUSES

2010 ◽  
Vol 22 (1) ◽  
pp. 297
Author(s):  
L. Jiang ◽  
S. L. Marjani ◽  
M. Bertolini ◽  
H. A. Lewin ◽  
G. B. Anderson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Expression Profiles ◽  
Subsequent Development ◽  
Blastocyst Stage ◽  
Developmental Competence ◽  
Differentially Expressed ◽  
Differential Gene

During the past several decades, in vitro fertilization (IVF) has been increasingly used in animal production and human infertility treatment. In vitro production (IVP) has been shown to cause reduced developmental competence, aberrant gene expression, and developmental abnormalities. Our objective was to determine how in vitro procedures influence global gene expression during fetal development. To this end, we analyzed the gene expression profiles of liver and placentome tissue samples (n = 18) from IVP and in vivo-derived fetuses at Days 90 and 180 of gestation (n = 5 IVP and n = 4 in vivo-derived pregnancies for each day of gestation). Standard in vitro maturation and fertilization protocols were employed. Putative zygotes were co-cultured with bovine oviductal epithelial cells to the blastocyst stage. In vivo embryos were collected 7 days after AI by nonsurgical uterine flushing. Blastocyst-stage IVP and in vivo embryos were transferred to synchronized recipients and monitored until collection at Day 90 or 180. The pregnancy rate at Day 90 was 12% and 27% for IVP and in vivo pregnancies, respectively (Bertolini et al. 2004 Reproduction 128, 341-354). To conduct expression profiling, total RNA from each tissue sample and a standard reference was indirectly labeled with Cy3 and Cy5, respectively, and hybridized in duplicate to custom, bovine 13 K oligonucleotide microarrays. After Loess normalization, a two-way (origin and day) ANOVA model (GeneSpring 7.3.1) was used to identify differentially expressed genes in each tissue. The P-values were adjusted for multiple comparisons using a 5% false discovery rate (FDR). The expression of 11 candidate genes was confirmed independently by quantitative RT-PCR. Surprisingly, in both the liver and placentome tissues, no differential gene expression was detected between the IVP and in vivo fetuses at Day 90 and 180. This was observed even when the FDR was relaxed to 10% and 20%. A total of 879 genes (523 genes ≥ 1.5-fold) were differentially expressed during liver development from 90 to 180 days of gestation. Conversely, no differential gene expression was detected in the placentomes during this developmental period. Our findings show that during early and mid gestation, surviving IVP fetuses had normal patterns of gene expression. It is possible that embryos with less severe perturbations may survive with their gene expression normalized as development proceeds. Additionally, initial changes in gene expression caused by IVP may affect subsequent development, but do not necessarily persist throughout gestation. Present addresses: L. Jiang, Columbia University, New York, NY, USA; S. L. Marjani, Yale University, New Haven, CT, USA; M. Bertolini, University of Fortaleza, CE, Brazil. This work was supported by USDA grants to X.Y, H.A.L., and X.C T.

PADGE: analysis of heterogeneous patterns of differential gene expression

2007 ◽  
Vol 32 (1) ◽  
pp. 154-159 ◽  
Author(s):  
Li Li ◽  
Amitabha Chaudhuri ◽  
John Chant ◽  
Zhijun Tang
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Web Application ◽  
Statistical Power ◽  
Profile Analysis ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Cancer Genes ◽  
Data Set ◽  
Differential Gene

We have devised a novel analysis approach, percentile analysis for differential gene expression (PADGE), for identifying genes differentially expressed between two groups of heterogeneous samples. PADGE was designed to compare expression profiles of sample subgroups at a series of percentile cutoffs and to examine the trend of relative expression between sample groups as expression level increases. Simulation studies showed that PADGE has more statistical power than t-statistics, cancer outlier profile analysis (COPA) (Tomlins SA, Rhodes DR, Perner S, Dhanasekaran SM, Mehra R, Sun XW, Varambally S, Cao X, Tchinda J, Kuefer R, Lee C, Montie JE, Shah RB, Pienta KJ, Rubin MA, Chinnaiyan AM. Science 310: 644–648, 2005), and kurtosis (Teschendorff AE, Naderi A, Barbosa-Morais NL, Caldas C. Bioinformatics 22: 2269–2275, 2006). Application of PADGE to microarray data sets in tumor tissues demonstrated its utility in prioritizing cancer genes encoding potential therapeutic targets or diagnostic markers. A web application was developed for researchers to analyze a large gene expression data set from heterogeneous biological samples and identify differentially expressed genes between subsets of sample classes using PADGE and other available approaches. Availability: http://www.cgl.ucsf.edu/Research/genentech/padge/ .

scholarly journals Relationship of differential gene expression profiles in CD34+ myelodysplastic syndrome marrow cells to disease subtype and progression

Blood ◽  
2009 ◽  
Vol 114 (23) ◽  
pp. 4847-4858 ◽  
Author(s):  
Kunju Sridhar ◽  
Douglas T. Ross ◽  
Robert Tibshirani ◽  
Atul J. Butte ◽  
Peter L. Greenberg
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukemia ◽  
Myelodysplastic Syndrome ◽  
Differential Gene Expression ◽  
Myeloid Leukemia ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Differentially Expressed ◽  
Differential Gene ◽  
Acute Myeloid

AbstractMicroarray analysis with 40 000 cDNA gene chip arrays determined differential gene expression profiles (GEPs) in CD34+ marrow cells from myelodysplastic syndrome (MDS) patients compared with healthy persons. Using focused bioinformatics analyses, we found 1175 genes significantly differentially expressed by MDS versus normal, requiring a minimum of 39 genes to separately classify these patients. Major GEP differences were demonstrated between healthy and MDS patients and between several MDS subgroups: (1) those whose disease remained stable and those who subsequently transformed (tMDS) to acute myeloid leukemia; (2) between del(5q) and other MDS patients. A 6-gene “poor risk” signature was defined, which was associated with acute myeloid leukemia transformation and provided additive prognostic information for International Prognostic Scoring System Intermediate-1 patients. Overexpression of genes generating ribosomal proteins and for other signaling pathways was demonstrated in the tMDS patients. Comparison of del(5q) with the remaining MDS patients showed 1924 differentially expressed genes, with underexpression of 1014 genes, 11 of which were within the 5q31-32 commonly deleted region. These data demonstrated (1) GEPs distinguishing MDS patients from healthy and between those with differing clinical outcomes (tMDS vs those whose disease remained stable) and cytogenetics [eg, del(5q)]; and (2) molecular criteria refining prognostic categorization and associated biologic processes in MDS.

scholarly journals CD8+ T cell gene expression analysis identifies differentially expressed genes between multiple sclerosis patients and healthy controls

2020 ◽  
Vol 6 (4) ◽  
pp. 205521732097851
Author(s):  
IS Brorson ◽  
AM Eriksson ◽  
IS Leikfoss ◽  
V Vitelli ◽  
EG Celius ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Differential Gene Expression ◽  
Differentially Expressed Genes ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
P Value ◽  
Healthy Controls ◽  
Differential Gene ◽  
Multiple Sclerosis Patients

Background Genetic and clinical observations have indicated T cells are involved in MS pathology. There is little insight in how T cells are involved and whether or not these can be used as markers for MS. Objectives Analysis of the gene expression profiles of circulating CD8+ T cells of MS patients compared to healthy controls. Methods RNA from purified CD8+ T cells was sequenced and analyzed for differential gene expression. Pathway analyses of genes at several p-value cutoffs were performed to identify putative pathways involved. Results We identified 36 genes with significant differential gene expression in MS patients. Four genes reached at least 2-fold differences in expression. The majority of differentially expressed genes was higher expressed in MS patients. Genes associated to MS in GWAS showed enrichment amongst the differentially expressed genes. We did not identify enrichment of specific pathways amongst the differentially expressed genes in MS patients. Conclusions CD8+ T cells of MS patients show differential gene expression, with predominantly higher activity of genes in MS patients. We do not identify specific biological pathways in our study. More detailed analysis of CD8+ T cells and subtypes of these may increase understanding of how T cells are involved in MS.

Early preantral follicles of the domestic cat express gonadotropin and sex steroid signalling potential

2021 ◽  
Author(s):  
S Kehoe ◽  
K Jewgenow ◽  
P R Johnston ◽  
B C Braun
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Steroid Receptors ◽  
Domestic Cat ◽  
Differentially Expressed ◽  
Sex Steroid ◽  
In Vitro Growth ◽  
Steroidogenic Enzymes ◽  
Differential Gene

Abstract Key biomolecular processes which regulate primordial ovarian follicle dormancy and early folliculogenesis in mammalian ovaries are not fully understood. The domestic cat is a useful model to study ovarian folliculogenesis and is the most relevant for developing in vitro growth methods to be implemented in wild felid conservation breeding programs. Previously, RNA-sequencing of primordial, primary, and secondary follicle samples from domestic cat implicated ovarian steroidogenesis and steroid reception during follicle development. Here we aimed to identify which sex steroid biosynthesis and metabolism enzymes, gonadotropin receptors, and sex steroid receptors are present and may be potential regulators. Differential gene expression, functional annotation, and enrichment analyses were employed and protein localisation was studied too. Gene transcripts for PGR, PGRMC1, AR (steroid receptors), CYP11A1, CYP17A1, HSD17B1 and HSD17B17 (steroidogenic enzymes), and STS (steroid metabolising enzyme) were significantly differentially expressed (Q values of ≤0.05). Differential gene expression increased in all transcripts during follicle transitions apart from AR which decreased by the secondary stage. Immunohistochemistry localised FSHR and LHCGR to oocytes at each stage. PGRMC1 immunostaining was strongest in granulosa cells whereas AR was strongest in oocytes throughout each stage. Protein signals for steroidogenic enzymes were only detectable in secondary follicles. Products of these significantly differentially expressed genes may regulate domestic cat preantral folliculogenesis. In vitro growth could be optimised as all early follicles express gonadotropin and steroid receptors meaning hormone interaction and response may be possible. Protein expression analyses of early secondary follicles supported its potential for producing sex steroids.

Sign in / Sign up

Export Citation Format

Share Document