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1.
Mol Cell Endocrinol ; 540: 111508, 2022 01 15.
Artigo em Inglês | MEDLINE | ID: mdl-34800604

RESUMO

The uterine environment must provide sufficient endocrine conditions and nutrients for pregnancy maintenance and conceptus survival. The objective of this study was to determine the effects of preovulatory estradiol and conceptus presence on uterine transcripts and uterine luminal fluid (ULF) proteins. Beef cows/heifers were synchronized and artificially inseminated (d 0). Uteri were flushed (d 16); conceptuses and endometrial biopsies were collected. Total cellular RNA was extracted from endometrium for RNA sequencing and RT-PCR validation. There were two independent ULF pools made for each of the following groups: highE2/conceptus, highE2/noconceptus, lowE2/conceptus, and lowE2/noconceptus that were analyzed using the 2D LC-MS/MS based iTRAQ method. There were 64 differentially expressed genes (DEGs) and 77 differentially expressed proteins (DEPs) in common among the highE2/conceptus vs highE2/noconceptus and lowE2/conceptus vs lowE2/noconceptus groups. In summary, the interaction between preovulatory estradiol and the conceptus induces the expression of genes, proteins, and pathways necessary for pregnancy.


Assuntos
Bovinos , Embrião de Mamíferos/fisiologia , Percepção/fisiologia , Prenhez , Útero/metabolismo , Animais , Bovinos/genética , Bovinos/fisiologia , Embrião de Mamíferos/diagnóstico por imagem , Desenvolvimento Embrionário/fisiologia , Endométrio/metabolismo , Estradiol/farmacologia , Feminino , Fase Folicular/efeitos dos fármacos , Fase Folicular/fisiologia , Regulação da Expressão Gênica , Gravidez , Proteínas da Gravidez/genética , Proteínas da Gravidez/metabolismo , Prenhez/genética , Prenhez/psicologia , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Ultrassonografia Pré-Natal/veterinária , Útero/diagnóstico por imagem
2.
Biol Reprod ; 105(2): 381-392, 2021 08 03.
Artigo em Inglês | MEDLINE | ID: mdl-33962467

RESUMO

Embryo survival and pregnancy success is increased among animals that exhibit estrus prior to fixed time-artificial insemination, but there are no differences in conceptus survival to d16. The objective of this study was to determine effects of preovulatory estradiol on uterine transcriptomes, select trophectoderm (TE) transcripts, and uterine luminal fluid proteins. Beef cows/heifers were synchronized, artificially inseminated (d0), and grouped into either high (highE2) or low (lowE2) preovulatory estradiol. Uteri were flushed (d16); conceptuses and endometrial biopsies (n = 29) were collected. RNA sequencing was performed on endometrium. Real-time polymerase chain reaction (RT-PCR) was performed on TE (n = 21) RNA to measure relative abundance of IFNT, PTGS2, TM4SF1, C3, FGFR2, and GAPDH. Uterine fluid was analyzed using 2D Liquid Chromatography with tandem mass spectrometry-based Isobaric tags for relative and absolute quantitation (iTRAQ) method. RT-PCR data were analyzed using the MIXED procedure in SAS. There were no differences in messenger RNA (mRNA) abundances in TE, but there were 432 differentially expressed genes (253 downregulated, 179 upregulated) in highE2/conceptus versus lowE2/conceptus groups. There were also 48 differentially expressed proteins (19 upregulated, 29 downregulated); 6 of these were differentially expressed (FDR < 0.10) at the mRNA level. Similar pathways for mRNA and proteins included: calcium signaling, protein kinase A signaling, and corticotropin-releasing hormone signaling. These differences in uterine function may be preparing the conceptus for improved likelihood of survival after d16 among highE2 animals.


Assuntos
Blastocisto/metabolismo , Bovinos/embriologia , Embrião de Mamíferos/embriologia , Estradiol/metabolismo , Transcrição Gênica , Útero/embriologia , Animais , Bovinos/genética , Embrião de Mamíferos/metabolismo , Epitélio/metabolismo , Feminino , Gravidez , Prenhez
3.
BMC Bioinformatics ; 19(1): 534, 2018 Dec 19.
Artigo em Inglês | MEDLINE | ID: mdl-30567491

RESUMO

BACKGROUND: RNA-seq is widely used for transcriptomic profiling, but the bioinformatics analysis of resultant data can be time-consuming and challenging, especially for biologists. We aim to streamline the bioinformatic analyses of gene-level data by developing a user-friendly, interactive web application for exploratory data analysis, differential expression, and pathway analysis. RESULTS: iDEP (integrated Differential Expression and Pathway analysis) seamlessly connects 63 R/Bioconductor packages, 2 web services, and comprehensive annotation and pathway databases for 220 plant and animal species. The workflow can be reproduced by downloading customized R code and related pathway files. As an example, we analyzed an RNA-Seq dataset of lung fibroblasts with Hoxa1 knockdown and revealed the possible roles of SP1 and E2F1 and their target genes, including microRNAs, in blocking G1/S transition. In another example, our analysis shows that in mouse B cells without functional p53, ionizing radiation activates the MYC pathway and its downstream genes involved in cell proliferation, ribosome biogenesis, and non-coding RNA metabolism. In wildtype B cells, radiation induces p53-mediated apoptosis and DNA repair while suppressing the target genes of MYC and E2F1, and leads to growth and cell cycle arrest. iDEP helps unveil the multifaceted functions of p53 and the possible involvement of several microRNAs such as miR-92a, miR-504, and miR-30a. In both examples, we validated known molecular pathways and generated novel, testable hypotheses. CONCLUSIONS: Combining comprehensive analytic functionalities with massive annotation databases, iDEP ( http://ge-lab.org/idep/ ) enables biologists to easily translate transcriptomic and proteomic data into actionable insights.


Assuntos
Biologia Computacional/métodos , Perfilação da Expressão Gênica , Regulação da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Análise de Sequência de RNA/métodos , Software , Animais , Linfócitos B/citologia , Linfócitos B/metabolismo , Proliferação de Células , Células Cultivadas , Fibroblastos/citologia , Fibroblastos/metabolismo , Proteínas de Homeodomínio/antagonistas & inibidores , Humanos , Pulmão/citologia , Pulmão/metabolismo , Camundongos , RNA Interferente Pequeno/genética , Fatores de Transcrição/antagonistas & inibidores , Transcriptoma , Proteína Supressora de Tumor p53/genética , Proteína Supressora de Tumor p53/metabolismo
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