Systematic Sampling of the Female Reproductive System for Molecular Characterization

对雌性生殖系统进行系统采样以进行分子表征

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作者:Stephen A Fisher, Marielena Grijalva, Rong Guo, Sarah A Johnston, Louise C Laurent, Hieu Nguyen, John Renz, Jean G Rosario, Steven Rudich, Brian D Gregory, Junhyong Kim, Kathleen O'Neill

Abstract

As part of the National Institutes of Health Human BioMolecular Atlas Program to develop a global platform to map the 37 trillion cells in the adult human body, we are generating a comprehensive molecular characterization of the female reproductive system. Data gathered from multiple single-cell/single-nucleus and spatial molecular assays will be used to build a 3D molecular atlas. Herein, we describe our multistep protocol, beginning with an optimized organ procurement workflow that maintains functional characteristics of the uterus, ovaries, and fallopian tubes by perfusing these organs with preservation solution. We have also developed a structured tissue sampling procedure that retains information on individual-level anatomic, physiologic, and individual diversity of the female reproductive system, toward full exploration of the function and structure of female reproductive cells. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Preparation and preservation of the female reproductive system (ovaries, fallopian tubes, and uterus) prior to procurement Basic Protocol 2: Removal of the female reproductive system en bloc Basic Protocol 3: Postsurgical dissection of ovaries Basic Protocol 4: Postsurgical dissection of fallopian tubes Basic Protocol 5: Postsurgical dissection of cervix Basic Protocol 6: Postsurgical dissection of uterine body Support Protocol 1: OCT-embedded tissue protocol Support Protocol 2: Tissue fixation protocol Support Protocol 3: Snap-frozen tissue protocol Basic Protocol 7: Tissue slice preparation for Visium analysis Support Protocol 4: Hematoxylin and eosin staining for 10X Visium imaging Basic Protocol 8: Manual tissue dissociation for Multiome analysis Basic Protocol 9: Tissue dissociation for Multiome analysis using S2 Singulator.

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