Early transcriptome responses of the bovine midcycle corpus luteum to prostaglandin F2α includes cytokine signaling

Talbott, Heather; Hou, Xiaoying; Qiu, Fang; Zhang, Pan; Guda, Chittibabu; Yu, Fang; Cushman, Robert A.; Wood, Jennifer R.; Wang, Cheng; Cupp, Andrea S.; Davis, John S.

doi:10.1016/j.mce.2017.05.018

Cited by 34 publications

(43 citation statements)

References 73 publications

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“…As in previous studies, changes in transcripts related to steroidogenesis, LH receptor signaling, and apoptosis were observed. Talbott et al (2017) also confirmed earlier studies in which progesterone declined prior to any decrease in transcripts related to steroidogenesis, and in which luteolysis was characterized by changes in transcripts related to cholesterol availability. However, most of these transcripts also changed coincident to, not before, the decrease in progesterone.…”

Section: Transcriptomic Profiling In the Corpus Luteumsupporting

confidence: 89%

Applications of large-scale molecular profiling techniques to the study of the corpus luteum

Pate¹,

Hughes²

2018

Anim Reprod

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The corpus luteum (CL) is vital for the establishment and maintenance of pregnancy. Throughout the history of luteal biology, cutting-edge technologies have been used to develop a thorough understanding of the functions of specific luteal cell types, the signaling pathways that result in luteal cell stimulation or demise, and the molecules that regulate specific functions of luteal cells. The advent of largescale profiling technologies such as transcriptomics, proteomics, and metabolomics, has brought with it an interest in discovering novel regulatory molecules that may provide targets for manipulation of luteal function or lifespan. Although the work to date is limited, transcriptomics have been effectively used to provide a global picture of changes in mRNA that relate to luteal development, steroidogenesis, luteolysis or luteal rescue. Some studies have been reported that profile microRNA (miRNA) and proteins, and although not yet published, metabolomics analyses of the CL have been undertaken. Thus far, these profiling studies seem to largely confirm earlier findings using targeted approaches, although previously unstudied molecules have also come to light as important luteal regulators. These molecules can then be studied using traditional mechanistic techniques. Use of profiling technologies has presented physiologists with unique challenges associated with analyses of big data sets. An appropriate technique for balancing the risks associated with type I (false discoveries) and type II (overlooking a real change) statistical error has not yet been developed and many big data studies may have potentially important differences that are overlooked. Also, it is imperative that attempts be made to integrate information from the various-omics studies before drawing conclusions based on expression of only one class of molecule, to better reflect the interdependency of molecular networks in cells. Currently, few analysis programs exist for such integrations. Despite challenges associated with these techniques, they have already provided new information about the biology of the CL, notably allowing identification of a key regulator of acquisition of luteolytic capacity and providing a big-picture view of the subtle changes that occur in the CL during early pregnancy. As these technologies become more accurate and less expensive, and as analysis becomes more userfriendly, their use will become much more widespread and many new discoveries will be made. This review will focus only on relevant studies in which these technologies were used to study the CL of ruminants.

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Section: Transcriptomic Profiling In the Corpus Luteumsupporting

confidence: 89%

Applications of large-scale molecular profiling techniques to the study of the corpus luteum

Pate¹,

Hughes²

2018

Anim Reprod

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“…It was also found that NR4A1 can induce apoptosis by interacting with antiapoptotic proteins,50 suggesting that this factor can have additional roles in the porcine luteal tissue during regression. Interestingly, the expression of NR4A1 and couple other early response genes increase 30 minutes after PGF 2α injection in bovine midcycle corpus luteum, while 1.5 hours later plasma progesterone concentration decreases 52. Thus, we can conclude that NR4A1 with other early response genes acts on luteolytic changes occurring in the luteal tissue, which might be associated with dynamic post‐translational or post‐transcriptional modifications acutely inhibiting the function of the corpus luteum.…”

Section: Discussionmentioning

confidence: 79%

Clustered microRNAs: The molecular mechanism supporting the maintenance of luteal function during early pregnancy

et al. 2020

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MicroRNAs (miRNAs) are recognized as the important regulators of ovarian function. However, little is known about the hormonal regulation of miRNA expression and the role of the specific miRNA‐mRNA interactions in corpus luteum. Therefore, the present study was undertaken to determine: (a) the expression of miRNAs in the corpus luteum in early pregnancy vs regression; (b) the effect of conceptus and uterine signals in the expression of selected miRNAs; and (c) the role of specific miRNA‐mRNA interactions in the molecular changes and secretory function of the corpus luteum in the pig. The results showed that the majority of miRNAs differentially expressed in the corpus luteum in early pregnancy vs regression belong to independent clusters (eg, miR‐99b, miR‐532), which are highly conserved among different animal species. The main conceptus signal in the pig (17β‐estradiol) elevated the luteal expression of the miR‐99b cluster and lowered the expression of NR4A1 and AKR1C1, the genes involved in corpus luteum regression. Furthermore, the delivery of miR‐99b cluster mimics to luteal tissue concomitantly decreased NR4A1 and AKR1C1 expression and enhanced progesterone secretion. The present study demonstrated that conceptus signals can support the maintenance of luteal function during pregnancy by clustered miRNA‐stimulated pathways, governing the expression of genes involved in luteal regression.

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“… A complete list of differentially expressed transcripts grouped into self-organizing maps representative of signaling waves after PGF2α treatment. Canonical pathways and upstream regulators predicted by Ingenuity Pathway Analysis for genes common to three similar datasets [1] , [2] , [3] . …”

Section: Value Of the Datamentioning

confidence: 99%

“…Canonical pathways and upstream regulators predicted by Ingenuity Pathway Analysis for genes common to three similar datasets [1] , [2] , [3] .…”

Section: Value Of the Datamentioning

confidence: 99%

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Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum

et al. 2017

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RNA expression analysis was performed on the corpus luteum tissue at five time points after prostaglandin F2 alpha treatment of midcycle cows using an Affymetrix Bovine Gene v1 Array. The normalized linear microarray data was uploaded to the NCBI GEO repository (GSE94069). Subsequent statistical analysis determined differentially expressed transcripts ± 1.5-fold change from saline control with P ≤ 0.05. Gene ontology of differentially expressed transcripts was annotated by DAVID and Panther. Physiological characteristics of the study animals are presented in a figure. Bioinformatic analysis by Ingenuity Pathway Analysis was curated, compiled, and presented in tables. A dataset comparison with similar microarray analyses was performed and bioinformatics analysis by Ingenuity Pathway Analysis, DAVID, Panther, and String of differentially expressed genes from each dataset as well as the differentially expressed genes common to all three datasets were curated, compiled, and presented in tables. Finally, a table comparing four bioinformatics tools’ predictions of functions associated with genes common to all three datasets is presented. These data have been further analyzed and interpreted in the companion article “Early transcriptome responses of the bovine mid-cycle corpus luteum to prostaglandin F2 alpha includes cytokine signaling” [1].

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Early transcriptome responses of the bovine midcycle corpus luteum to prostaglandin F2α includes cytokine signaling

Cited by 34 publications

References 73 publications

Applications of large-scale molecular profiling techniques to the study of the corpus luteum

Applications of large-scale molecular profiling techniques to the study of the corpus luteum

Clustered microRNAs: The molecular mechanism supporting the maintenance of luteal function during early pregnancy

Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum

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