Transcriptional Profiling of Mouse Uterus at Pre-implantation Stage under VEGF Repression
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE43351 | GEO | 2013/01/09
SECONDARY ACCESSION(S): PRJNA185496
REPOSITORIES: GEO
Similar Datasets
Project description:In this study, a genetically repressed VEGF mouse model was used to analyze uterus transcriptome at G2.5 (gestation day 2.5) by Solexa/ Illumina’s digital gene expression (DGE) system. 831 uterus-specific and 2398 VEGF regulated genes were identified. Gene ontology analysis indicated that genes actively involved in uterus development were members of collagen biosynthesis, cell proliferation and cell apoptosis. Uterus-specific genes were enriched in activities of phosphatidyl inositol phosphate kinase, histone H3-K36 demethylation and protein acetylation. Among VEGF regulated genes, up-regulated genes were associated with RNA polymerase III activity while down-regulated genes were strongly associated with muscle development.Comparable numbers of antisense RNA transcripts were also identified. Expression levels of the antisense RNAs were found tightly correlated with their sense expression levels, an indication of possibly non-specific transcripts generated around the active promoters and enhancers. The antisense RNAs with exceptionally high or low expression levels and the antisense RNAs under VEGF regulation were also identified. These transcripts may be important candidates in regulation of uterus development. This study provides a global survey on genes and antisense transcripts regulated by VEGF in the pre-implantation stage. Results will contribute to the further studies of candidate genes and pathways in regulating implantation process and related diseases. Uteri mRNA profiles of G2.5 VEGF-normal (Dox+) and VEGF-repression (Dox-) were generated by Solexa/ Illumina’s digital gene expression (DGE) system.
2013-01-09 | E-GEOD-43351 | biostudies-arrayexpress
Project description:LlorénsRico2016 - Effects of cis-Encoded antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
(this
model)
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2, the binding of the asRNA to
the mRNA induces degradation of the mRNA, but not of the asRNA.
In case 3, the mRNA and the asRNA bind reversibly to form a
stable duplex, preventing translation of the mRNA. In all the
three cases, binding to the ribosome protects the mRNA from the
effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170000 | BioModels
Project description:LlorénsRico2016 - Effects of cis-Encoded
antisense RNAs (asRNAs) - Case3
Three putative
effects of the asRNAs were considered in this study: in case 1,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2, the binding of the asRNA
to the mRNA induces degradation of the mRNA, but not of the
asRNA. In case 3 (this model), the mRNA and the asRNA bind
reversibly to form a stable duplex, preventing translation of
the mRNA. In all the three cases, binding to the ribosome
protects the mRNA from the effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170002.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170002 | BioModels
Project description:LlorénsRico2016 - Effects of cis-Encoded
antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2
(this
model)
the binding of the asRNA to the mRNA induces degradation of the
mRNA, but not of the asRNA. In case 3, the mRNA and the asRNA
bind reversibly to form a stable duplex, preventing translation
of the mRNA. In all the three cases, binding to the ribosome
protects the mRNA from the effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170001.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170001 | BioModels
Project description:Embryo implantation is a complex process which involves biochemical and physiological interactions between an implantation-competent blastocyst and a receptive uterus. However, the exact biochemical changes of uterine fluid, uterus, and plasma during peri-implantation remain unclear. This study aims to characterize the biochemical and metabolic changes that occur during the peri-implantation period of early pregnancy, using mice as an animal model. Gas chromatography-mass spectrometry was used to analyze the metabolite profiles of the uterus, uterine fluid, and maternal plasma at pre-implantation and implantation. The multivariate analyses, ANOVA and Tukey's HSD test, were applied to detect significant changes in metabolites and metabolic pathways. The metabolic networks were reconstructed in silico based on the identified metabolites and KEGG metabolic framework. Between pre-implantation day 1 and day 4, dramatic metabolic changes were observed in the uterine fluid that could be important for blastocyst development and protection against the harsh uterine environment. Palmitoleic acid, fumaric acid, and glutaric acid changed levels at day 4 in the uterus, suggesting that they may be associated with endometrial receptivity. Both the uterus and maternal plasma showed profound changes in cellular metabolism at the early implantation period, including upregulation of branched-chain amino acids and intermediates of one-carbon metabolism, an upregulation of glyoxylate and dicarboxylate metabolism, and downregulation of aerobic respiration; all of which could be involved in the regulation of the maternal-fetal interface, alternative nutrient utilization, and energy preservation for implantation as well as later placentation and fetal development to ensure successful embryo implantation.
2020-05-04 | MTBLS627 | MetaboLights
Project description:Cis-encoded antisense RNAs (asRNAs) are widespread along bacterial transcriptomes. However, the role of the vast majority of these RNAs remains unknown, and there is an ongoing discussion as to what extent these transcripts are the result of transcriptional noise. We show, by comparative transcriptomics of 20 bacterial species and one chloroplast, that the number of asRNAs is exponentially dependent on the genomic AT content, and that expression of asRNA at low levels exerts little impact in terms of energy consumption. A transcription model simulating mRNA and asRNA production indicates that the asRNA regulatory effect is only observed above certain expression thresholds, substantially higher than physiological transcript levels. These predictions were verified experimentally by overexpressing 9 different asRNAs in M. pneumoniae. Our results suggest that most of the antisense transcripts found in bacteria are the consequence of transcriptional noise, arising at spurious promoters throughout the genome.
2018-10-25 | PXD003231 | Pride
Project description:Comparison of the gene expression profiles of pre-implantation embryos at day 3.5 post coitum from normal pregnant mice (control); embryos from mice treated with ICI (specific estrogen receptor inhibitor); and embryos in the oviduct that were blocked from entering the uterus by ligation. Results provide insight into the function of estrogen regulated genes and uterine factors involved in the early implantation process. RNA were extracted from 3 groups of 100-120 embryos (a) embryos at d3.5 from uterus of normal pregnant mice; (b) embryos at d3.5 from uterus of ICI treated mice; and (c) embryos at d3.5 from the ligated oviduct.
2011-01-27 | E-GEOD-26746 | biostudies-arrayexpress
Project description:Transcriptional Profiling of Mouse Uterus at Pre-implantation Stage under VEGF Repression
| PRJNA185496 | ENA
Project description:Embryo implantation is an essential step for the establishment of pregnancy and is crucial for the successful embryo transplantation of in vitro fertilization embryos. The successful implantation of an embryo depends upon cellular and molecular dialog between the uterus and the embryo. We used microarrays to detail the key regulated genes underlying embryo implantation process in sheep.
2016-07-15 | GSE84417 | GEO
Project description:Current knowledge of the molecular regulation of the blastocyst implantation event has been largely derived from studies in the mouse that requires ovarian estrogen for initiation of the implantation event. However, there are species such as the hamster, guinea pig, pig, horse, rhesus monkey and perhaps the human where the blastocyst implantation event initiates only in the progesterone-primed uterus. Despite this fundamental difference in the requirement of ovarian hormones in initiating blastocyst implantation among species, efforts to identify gene networks relevant for the blastocyst implantation event in progesteroneM-bM-^@M-^Sdependent species are limited. In this study, cDNA prepared from RNAs of day 5 blastocyst implantation and interimplantation sites were hybridized with mouse and human oligonucleotide microarray platforms to discern the transcriptional networks underlying the regulation of blastocyst implantation in hamsters. Compared with the inter-implantation site, blastocyst implantation sites showed upregulation and downregulation of a sizable number of genes by both cross-species arrays.The merit of the cross-species hybridization and reliability of the identified up- and down-regulated genes at the implantation sites were validated by detecting differential expression of a few randomly selected genes from both arrays by real-time PCR. Function gene ontology and pathway analysis revealed that differentially expressed genes are associated with several biological events and molecular pathways that are likely to be taking place at the blastocyst implantation site. This is the first study that identified the differential gene expression profile at the blastocyst implantation site of the hamsters, and revealed molecular pathways that are possibly associated with the progesterone-dependent blastocyst implantation process. We used microarrays to detail the expression differences in hamster implantation and interimplantation sites. Total RNAs were prepared from the hamster day 5 blastocyst implantation and interimplantation sites. Three sets of RNAs were isolated from three different animals and were subjected to microarray analysis using Affymetrix mouse and human array platforms.
2014-07-17 | E-GEOD-59413 | biostudies-arrayexpress