The molecular and cellular processes required for development, function, and regression of the primate corpus luteum (CL) are poorly defined. We hypothesized that there are dynamic changes in gene expression occurring during the CL life span, which represent proteins and pathways critical to its regulation. Therefore, a genomic approach was utilized to systematically identify differentially expressed genes in the rhesus macaque CL during the luteal phase of natural menstrual cycles. CL were collected between d 3-5 (early stage), d 7-8 (mid), d 10-12 (mid-late), d 14-16 (late), or d 18-19 (very-late) after the midcycle LH surge. From the early through very-late stages, 3234 transcripts were differentially expressed, with 879 occurring from the early through late stages that encompass the processes of luteinization, maintenance, and functional regression. To characterize gene changes most relevant to these processes, ontology analysis was performed using the list of 879 differentially expressed transcripts. Four main groups of related genes were identified with relevance to luteal physiology including: 1) immune function; 2) hormone and growth factor signaling; 3) steroidogenesis; and 4) prostaglandin biosynthesis, metabolism, and signaling. A subset of genes representing each of the four major categories was selected for validation of microarray results by quantitative real-time PCR. Results in mRNA levels were similar between the two methodologies for 17 of 18 genes. Additionally, protein levels for three genes were determined by Western blot analysis to parallel mRNA levels. This database will facilitate the identification of many novel or previously underappreciated pathways that regulate the structure and function of the primate CL.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2366192 | PMC |
http://dx.doi.org/10.1210/me.2007-0484 | DOI Listing |
Microbiol Res
January 2025
College of Animal Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address:
Social bees, with their specialized gut microbiota and societal transmission between individuals, provide an ideal model for studying host-gut microbiota interactions. While the functional disparities arising from strain-level diversity of gut symbionts and their effects on host health have been studied in Apis mellifera and bumblebees, studies focusing on host-specific investigations of individual strains across different honeybee hosts remain relatively unexplored. In this study, the complete genomic sequences of 17 strains of Gilliamella from A.
View Article and Find Full Text PDFLeuk Lymphoma
January 2025
Department of Oncology, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
In this study, we aimed to uncover novel biomarkers in acute myeloid leukemia (AML) that could serve as prognostic indicators or therapeutic targets. We analyzed AML microarray datasets from the Gene Expression Omnibus (GEO) repository, identifying key differentially expressed genes (DEGs) through the robust rank aggregation (RRA) approach. The functions of these DEGs were elucidated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
View Article and Find Full Text PDFPLoS One
January 2025
Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Background: Rheumatoid arthritis (RA) is a degenerative autoimmune disease, often managed through symptomatic treatment. The co-occurrence of the reported extra-articular comorbidities such as inflammatory bowel disease (IBD), and dementia may complicate the pathology of the disease as well as the treatment strategies. Therefore, in our study, we aim to elucidate the key genes, and regulatory elements implicated in the progression and association of these diseases, thereby highlighting the linked potential therapeutic targets.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Department of Neurology, School of Medicine, Affiliated ZhongDa Hospital, Southeast University, Dingjiaqiao 87, Nanjing, 210009, Jiangsu, China.
The dysregulation of lipid metabolism has been associated with the etiology and progression of the neurological pathology. However, the roles of lipid metabolism and the molecular mechanism in epilepsy and the use of antiepileptic drugs (AEDs) are relatively understudied. Gene expression profiles of GSE143272 from blood samples were included for differential analysis, and the lipid metabolism-related differentially expressed genes (DEGs) were identified.
View Article and Find Full Text PDFJ Neurol
January 2025
Morehouse School of Medicine, Neuroscience Institute, 720 Westview Drive SW, Atlanta, GA, 30310, USA.
Objectives: The ability to differentiate epileptic- and non-epileptic events is challenging due to a lack of reliable molecular seizure biomarker that provide a retrospective diagnosis. Here, we use next generation sequencing methods on whole blood samples to identify changes in RNA expression following seizures.
Methods: Blood samples were obtained from 32 patients undergoing video electroencephalogram (vEEG) monitoring.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!