Article ; Online: Transcriptomics and Spatial Proteomics for Discovery and Validation of Missing Proteins in the Human Ovary.
2023 Volume 23, Issue 1, Page(s) 238–248
Abstract: Efforts to understand the complexities of human biology encompass multidimensional aspects, with proteins emerging as crucial components. However, studying the human ovary introduces unique challenges due to its complex dynamics and changes over a ... ...
| Abstract | Efforts to understand the complexities of human biology encompass multidimensional aspects, with proteins emerging as crucial components. However, studying the human ovary introduces unique challenges due to its complex dynamics and changes over a lifetime, varied cellular composition, and limited sample access. Here, four new RNA-seq samples of ovarian cortex spanning ages of 7 to 32 were sequenced and added to the existing data in the Human Protein Atlas (HPA) database www.proteinatlas.org, opening the doors to unique possibilities for exploration of oocyte-specific proteins. Based on transcriptomics analysis of the four new tissue samples representing both prepubertal girls and women of fertile age, we selected 20 protein candidates that lacked previous evidence at the protein level, so-called "missing proteins" (MPs). The proteins were validated using high-resolution antibody-based profiling and single-cell transcriptomics. Fourteen proteins exhibited consistent single-cell expression patterns in oocytes and granulosa cells, confirming their presence in the ovary and suggesting that these proteins play important roles in ovarian function, thus proposing that these 14 proteins should no longer be classified as MPs. This research significantly advances the understanding of MPs, unearthing fresh avenues for prospective exploration. By integrating innovative methodologies and leveraging the wealth of data in the HPA database, these insights contribute to refining our understanding of protein roles within the human ovary and opening the doors for further investigations into missing proteins and human reproduction. |
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| MeSH term(s) | Humans ; Female ; Ovary ; Proteomics ; Prospective Studies ; Oocytes ; Proteins/metabolism ; Gene Expression Profiling |
| Chemical Substances | Proteins |
| Language | English |
| Publishing date | 2023-12-12 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2078618-9 |
| ISSN | 1535-3907 ; 1535-3893 |
| ISSN (online) | 1535-3907 |
| ISSN | 1535-3893 |
| DOI | 10.1021/acs.jproteome.3c00545 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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