scholarly journals Drosophila female reproductive tract gene expression reveals coordinated mating responses and rapidly evolving tissue-specific genes

2021 ◽  
Author(s):  
Caitlin E McDonough-Goldstein ◽  
Kirill Borziak ◽  
Scott Pitnick ◽  
Steve Dorus
Keyword(s):  
Gene Expression ◽  
Reproductive Tract ◽  
Expression Profiles ◽  
Female Reproductive Tract ◽  
Tissue Specific ◽  
Accelerated Evolution ◽  
Before And After ◽  
Complex Coordination ◽  
Extracellular Environment

Abstract Sexual reproduction in internally fertilizing species requires complex coordination between female and male reproductive systems and among the diverse tissues of the female reproductive tract (FRT). Here, we report a comprehensive, tissue-specific investigation of Drosophila melanogaster FRT gene expression before and after mating. We identified expression profiles that distinguished each tissue, including major differences between tissues with glandular or primarily non-glandular epithelium. All tissues were enriched for distinct sets of genes possessing secretion signals and exhibiting accelerated evolution, as might be expected for genes participating in molecular interactions between the sexes within the FRT extracellular environment. Despite robust transcriptional differences between tissues, post-mating responses were dominated by coordinated transient changes indicative of an integrated systems-level functional response. This comprehensive characterization of gene expression throughout the FRT identifies putative female contributions to post-copulatory events critical to reproduction and potentially reproductive isolation, as well as the putative targets of sexual selection and conflict.

scholarly journals A non-genomic signaling pathway shut down by mating changes the estradiol-induced gene expression profile in the rat oviduct

Reproduction ◽  
2010 ◽  
Vol 139 (3) ◽  
pp. 631-644 ◽  
Author(s):  
Alexis Parada-Bustamante ◽  
Pedro A Orihuela ◽  
Mariana Ríos ◽  
Catherina A Cuevas ◽  
Maria Lorena Oróstica ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signaling Pathway ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Reproductive Tract ◽  
Female Reproductive Tract ◽  
Before And After ◽  
Common Group ◽  
Egg Transport ◽  
Adenylyl Cyclase Inhibitor

Estradiol (E2) accelerates oviductal egg transport through intraoviductal non-genomic pathways in unmated rats and through genomic pathways in mated rats. This shift in pathways has been designated as intracellular path shifting (IPS), and represents a novel and hitherto unrecognized effect of mating on the female reproductive tract. We had reported previously that IPS involves shutting down the E2non-genomic pathway up- and downstream of 2-methoxyestradiol. Here, we evaluated whether IPS involves changes in the genomic pathway too. Using microarray analysis, we found that a common group of genes changed its expression in response to E2in unmated and mated rats, indicating that an E2genomic signaling pathway is present before and after mating; however, a group of genes decreased its expression only in mated rats and another group of genes increased its expression only in unmated rats. We evaluated the possibility that this difference is a consequence of an E2non-genomic signaling pathway present in unmated rats, but not in mated rats. Mating shuts down this E2non-genomic signaling pathway up- and downstream of cAMP production. TheStarlevel is increased by E2in unmated rats, but not in mated rats. This is blocked by the antagonist of estrogen receptor ICI 182 780, the adenylyl cyclase inhibitor SQ 22536, and the catechol-O-methyltransferase inhibitor, OR 486. These results indicate that the E2-induced gene expression profile in the rat oviduct differs before and after mating, and this difference is probably mediated by an E2non-genomic signaling pathway operating on gene expression only in unmated rats.

scholarly journals Transcriptomic analysis identifies differences in gene expression in actinic keratoses after treatment with imiquimod and between responders and non responders

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Megan H. Trager ◽  
Emanuelle Rizk ◽  
Sharon Rose ◽  
Kuixi Zhu ◽  
Branden Lau ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
Distinct Pattern ◽  
Study Endpoint ◽  
Inflammatory Gene Expression ◽  
Immune Modulators ◽  
Actinic Keratoses ◽  
Before And After ◽  
Pre Treatment

AbstractThe presence of actinic keratoses (AKs) increases a patient’s risk of developing squamous cell carcinoma by greater than six-fold. We evaluated the effect of topical treatment with imiquimod on the tumor microenvironment by measuring transcriptomic differences in AKs before and after treatment with imiquimod 3.75%. Biopsies were collected prospectively from 21 patients and examined histologically. RNA was extracted and transcriptomic analyses of 788 genes were performed using the nanoString assay. Imiquimod decreased number of AKs by study endpoint at week 14 (p < 0.0001). Post-imiquimod therapy, levels of CDK1, CXCL13, IL1B, GADPH, TTK, ILF3, EWSR1, BIRC5, PLAUR, ISG20, and C1QBP were significantly lower (adjusted p < 0.05). Complete responders (CR) exhibited a distinct pattern of inflammatory gene expression pre-treatment relative to incomplete responders (IR), with alterations in 15 inflammatory pathways (p < 0.05) reflecting differential expression of 103 genes (p < 0.05). Presence of adverse effects was associated with improved treatment response. Differences in gene expression were found between pre-treatment samples in CR versus IR, suggesting that higher levels of inflammation pre-treament may play a part in regression of AKs. Further characterization of the immune micro-environment in AKs may help develop biomarkers predictive of response to topical immune modulators and may guide therapy.

Characterization of gene expression profiles at low and very low doses of ionizing radiation

DNA Repair ◽  
2013 ◽  
Vol 12 (7) ◽  
pp. 508-517 ◽  
Author(s):  
Ingrid Nosel ◽  
Aurélie Vaurijoux ◽  
Joan-Francesc Barquinero ◽  
Gaetan Gruel
Keyword(s):  
Gene Expression ◽  
Ionizing Radiation ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Low Doses

Assessment of cancer prevention effect of exercise

2021 ◽  
pp. 1-6
Author(s):  
Reza Vafaee ◽  
Mostafa Rezaei Tavirani ◽  
Sina Rezaei Tavirani ◽  
Mohammadreza Razzaghi
Keyword(s):  
Gene Expression ◽  
Cancer Prevention ◽  
Human Health ◽  
Expression Profiles ◽  
Vastus Lateralis ◽  
Gene Expression Profiles ◽  
Gene Expression Omnibus ◽  
Vastus Lateralis Muscle ◽  
Before And After ◽  
Exercise Training Intervention

There are many documents about benefits of exercise on human health. However, evidences indicate to positive effect of exercise on disease prevention, understanding of many aspects of this mechanism need more investigations. Determination of critical genes which effect human health. GSE156249 including 12 gene expression profiles of healthy individual biopsy from vastus lateralis muscle before and after 12-week combined exercise training intervention were extracted from gene expression omnibus (GEO) database. The significant DEGs were included in interactome unit by Cytoscape software and STRING database. The network was analyzed to find the central nodes subnetwork clusters. The nodes of prominent cluster were assessed via gene ontology by using ClueGO. Number of 8 significant DEGs and 100 first neighbors analyzed via network analysis. The network includes 2 clusters and COL3A1, BGN, and LOX were determined as central DEGs. The critical DEGs were involved in cancer prevention process.

Characterization of novel megasphaera species from the female reproductive tract

2018 ◽  
Vol 219 (6) ◽  
pp. 648-649 ◽  
Author(s):  
S. Srinivasan ◽  
M.A. Beamer ◽  
T.L. Fiedler ◽  
M.N. Austin ◽  
M.V. Sizova ◽  
...  
Keyword(s):  
Reproductive Tract ◽  
Female Reproductive Tract

scholarly journals High expression of VRT2 during wheat spikelet initiation increases the number of rudimentary basal spikelets

2021 ◽  
Author(s):  
Anna E Backhaus ◽  
Ashleigh Lister ◽  
Melissa Tomkins ◽  
Nikolai M. Adamski ◽  
James Simmonds ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Computational Modelling ◽  
Gene Expression Profiles ◽  
Building Blocks ◽  
Field Trials ◽  
Developmental Genetics ◽  
Spatially Resolved ◽  
Before And After ◽  
Single Spike

Spikelets are the fundamental building blocks of Poaceae inflorescences and their development and branching patterns determine the various inflorescence architectures and grain yield of grasses. In wheat, the central spikelets produce the most and largest grains, while spikelet size gradually decreases acro- and basipetally, giving rise to the characteristic lanceolate shape of wheat spikes. The acropetal gradient correlates with the developmental age of spikelets, however the basal spikelets are developed first and the cause of their small size and rudimentary development is unclear. Here, we adapted G&T-seq, a low-input transcriptomics approach, to characterise gene expression profiles within spatial sections of individual spikes before and after the establishment of the lanceolate shape. We observed larger differences in gene expression profiles between the apical, central and basal sections of a single spike than between any section belonging to consecutive developmental timepoints. We found that SVP MADS-box transcription factors, including VRT-A2, are expressed highest in the basal section of the wheat spike and display the opposite expression gradient to flowering E-class SEP1 genes. Based on multi-year field trials and transgenic lines we show that higher expression of VRT-A2 in the basal sections of the spike is associated with increased numbers of rudimentary basal spikelets. Our results, supported by computational modelling, suggest that the delayed transition of basal spikelets from vegetative to floral developmental programmes results in the lanceolate shape of wheat spikes. This study highlights the value of spatially resolved transcriptomics to gain new insights into developmental genetics pathways of grass inflorescences.

scholarly journals Analyzing cancer gene expression data through the lens of normal tissue-specificity

2021 ◽  
Author(s):  
H. Robert Frost
Keyword(s):  
Gene Expression ◽  
Normal Tissue ◽  
Tissue Specificity ◽  
Cancer Genomics ◽  
Expression Profiles ◽  
Genetic Alterations ◽  
Cancer Type ◽  
Tissue Specific ◽  
Normal Tissues ◽  
Cancer Types

AbstractThe genetic alterations that underlie cancer development are highly tissue-specific with the majority of driving alterations occurring in only a few cancer types and with alterations common to multiple cancer types often showing a tissue-specific functional impact. This tissue-specificity means that the biology of normal tissues carries important information regarding the pathophysiology of the associated cancers, information that can be leveraged to improve the power and accuracy of cancer genomic analyses. Research exploring the use of normal tissue data for the analysis of cancer genomics has primarily focused on the paired analysis of tumor and adjacent normal samples. Efforts to leverage the general characteristics of normal tissue for cancer analysis has received less attention with most investigations focusing on understanding the tissue-specific factors that lead to individual genomic alterations or dysregulated pathways within a single cancer type. To address this gap and support scenarios where adjacent normal tissue samples are not available, we explored the genome-wide association between the transcriptomes of 21 solid human cancers and their associated normal tissues as profiled in healthy individuals. While the average gene expression profiles of normal and cancerous tissue may appear distinct, with normal tissues more similar to other normal tissues than to the associated cancer types, when transformed into relative expression values, i.e., the ratio of expression in one tissue or cancer relative to the mean in other tissues or cancers, the close association between gene activity in normal tissues and related cancers is revealed. As we demonstrate through an analysis of tumor data from The Cancer Genome Atlas and normal tissue data from the Human Protein Atlas, this association between tissue-specific and cancer-specific expression values can be leveraged to improve the prognostic modeling of cancer, the comparative analysis of different cancer types, and the analysis of cancer and normal tissue pairs.

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