MP75-13 IN-VIVO INHIBITION OF MIR-202-5P RESULTS IN SPERMATOGENIC KNOCKDOWN THROUGH TARGETING EPIDERMAL GROWTH FACTOR PATHWAYS & CELL CYCLE REGULATION
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Résumé
You have accessJournal of UrologyInfertility: Basic Research & Pathophysiology (MP75)1 Apr 2019MP75-13 IN-VIVO INHIBITION OF MIR-202-5P RESULTS IN SPERMATOGENIC KNOCKDOWN THROUGH TARGETING EPIDERMAL GROWTH FACTOR PATHWAYS & CELL CYCLE REGULATION Ryan Flannigan*, Russell Hayden, Anna Mielnik, Alex Bolyakov, Peter Schlegel, and Darius Paduch Ryan Flannigan*Ryan Flannigan* More articles by this author , Russell HaydenRussell Hayden More articles by this author , Anna MielnikAnna Mielnik More articles by this author , Alex BolyakovAlex Bolyakov More articles by this author , Peter SchlegelPeter Schlegel More articles by this author , and Darius PaduchDarius Paduch More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000557252.54021.e0AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Our group has previously demonstrated that men with Sertoli Cell Only Syndrome (SCO) demonstrate a 17x downregulation of miR-202-5p compared to testis biopsies from normal controls. We subsequently demonstrated that using an inducible model of SCO in mice does not deplete miR-202-5p levels. In this study, we sought to computationally evaluate mRNA targets for miR-202-5p, test for miR-202-5p to 3UTR interactions, and evaluate the impact of in vivo delivery of a miR-202-5p inhibitor on spermatogenesis. METHODS: Computationally predicted mRNA targets of miR-202-5p were created using RNAseq and miRNAseq biological data from 44 testis biopsies. A custom multi-parametric, multi-dimensional association of vectors was used to capture both linear and non-linear algorithms via neural network machine learning. To validate miR-202-5p interactions with the 3UTR of CHEK1 gene, a luciferase reporter assay was used. These reporter plasmids were transfected and later transduced in Human Embryonal Kidney (HEK293) cells prior to measuring luciferase activity in the presence of miR-202-5p. To test the in-vivo impact, 50nM FITC-labelled miR-202-5p inhibitor was injected into murine efferent ducts along with a scrambled control miRNA on the contralateral side. Testes were subsequently evaluated via histology and immunofluorescence. RESULTS: MiR-202-5p was found to be heavily implicated in epidermal growth factor (EGF) pathway regulation and cell cycle control. The computationally derived results were validated in vitro with using miRNA-3UTR luciferase reporters where miR-202-5p reduced the luciferase activity of cells transduced with CHEK1 3UTRs but not when the 3UTR was designed with a mutated seed region. We further confirmed the critical role miR-202-5p exerts during spermatogenesis by observing a knockdown of spermatogenesis in murine testis tubules in the presence of a miR-202-5p inhibitor, and maintenance of spermatogenesis in the presence of a scrambled control miRNA. CONCLUSIONS: In follow-up to our previous studies investigating the role of miR-202-5p, we demonstrated that miR-202-5p is largely implicated in EGF pathway regulation in Sertoli cells maintaining an end-differentiated state. Furthermore, we demonstrated that miR-202-5p is critical to spermatogenesis as in vivo inhibition results in spermatogenic knockdown and SCO histopathology. Further research is prudent to determine the role of miR-202-5p therapy to potentially restore spermatogenesis in men with non-obstructive azoospermia. Source of Funding: This work was supported by: P50 HD076210, U1 1U01HD074542-01, Frederick J. and Theresa Dow Wallace Fund of the New York Community Trust, the Mr. Robert S. Dow Foundation, Irena and Howard Laks Foundation; Urology Care Foundation Research Scholar Award Program and AUA New York Section E. Darracott Vaughan MD, Research Scholar Award. Vancouver, Canada; New York, NY© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e1087-e1087 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ryan Flannigan* More articles by this author Russell Hayden More articles by this author Anna Mielnik More articles by this author Alex Bolyakov More articles by this author Peter Schlegel More articles by this author Darius Paduch More articles by this author Expand All Advertisement PDF downloadLoading ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».