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Article

Spatiotemporal analysis of human ovarian aging at single-cell resolution

2022-05-13

Abstract excerpt

<title>Abstract</title> <p>Our understanding of how aging affects the cellular and molecular components of the human ovary and contributes to age-related fertility decline is still limited. Here, we link single-cell RNA sequencing and spatial transcriptomics to characterize human ovarian aging. Changes of the molecular signatures of eight types of ovarian cells during aging were defined. We combined single cell t...

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Identifiers and source

Literature Corpus work
0b60ea74-6c3b-5e02-b378-28702c908e70
DOI
10.21203/rs.3.rs-1624864/v1
Open publication

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Spatiotemporal analysis of human ovarian aging at single-cell resolutionDOI 10.21203/rs.3.rs-1624864/v1
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