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Spatial Proteomics for Further Exploration of Missing Proteins: A Case Study of the Ovary
[Image: see text] In the quest for “missing proteins” (MPs), the proteins encoded by the human genome still lacking evidence of existence at the protein level, novel approaches are needed to detect this challenging group of proteins. The current count stands at 1,343 MPs, and it is likely that many...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088045/ https://www.ncbi.nlm.nih.gov/pubmed/36108145 http://dx.doi.org/10.1021/acs.jproteome.2c00392 |
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author | Méar, Loren Sutantiwanichkul, Thanadol Östman, Josephine Damdimopoulou, Pauliina Lindskog, Cecilia |
author_facet | Méar, Loren Sutantiwanichkul, Thanadol Östman, Josephine Damdimopoulou, Pauliina Lindskog, Cecilia |
author_sort | Méar, Loren |
collection | PubMed |
description | [Image: see text] In the quest for “missing proteins” (MPs), the proteins encoded by the human genome still lacking evidence of existence at the protein level, novel approaches are needed to detect this challenging group of proteins. The current count stands at 1,343 MPs, and it is likely that many of these proteins are expressed at low levels, in rare cell or tissue types, or the cells in which they are expressed may only represent a small minority of the tissue. Here, we used an integrated omics approach to identify and explore MPs in human ovaries. By taking advantage of publicly available transcriptomics and antibody-based proteomics data in the Human Protein Atlas (HPA), we selected 18 candidates for further immunohistochemical analysis using an exclusive collection of ovarian tissues from women and patients of reproductive age. The results were compared with data from single-cell mRNA sequencing, and seven proteins (CTXN1, MRO, RERGL, TTLL3, TRIM61, TRIM73, and ZNF793) could be validated at the single-cell type level with both methods. We present for the first time the cell type-specific spatial localization of 18 MPs in human ovarian follicles, thereby showcasing the utility of the HPA database as an important resource for identification of MPs suitable for exploration in specialized tissue samples. The results constitute a starting point for further quantitative and qualitative analysis of the human ovaries, and the novel data for the seven proteins that were validated with both methods should be considered as evidence of existence of these proteins in human ovary. |
format | Online Article Text |
id | pubmed-10088045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100880452023-04-12 Spatial Proteomics for Further Exploration of Missing Proteins: A Case Study of the Ovary Méar, Loren Sutantiwanichkul, Thanadol Östman, Josephine Damdimopoulou, Pauliina Lindskog, Cecilia J Proteome Res [Image: see text] In the quest for “missing proteins” (MPs), the proteins encoded by the human genome still lacking evidence of existence at the protein level, novel approaches are needed to detect this challenging group of proteins. The current count stands at 1,343 MPs, and it is likely that many of these proteins are expressed at low levels, in rare cell or tissue types, or the cells in which they are expressed may only represent a small minority of the tissue. Here, we used an integrated omics approach to identify and explore MPs in human ovaries. By taking advantage of publicly available transcriptomics and antibody-based proteomics data in the Human Protein Atlas (HPA), we selected 18 candidates for further immunohistochemical analysis using an exclusive collection of ovarian tissues from women and patients of reproductive age. The results were compared with data from single-cell mRNA sequencing, and seven proteins (CTXN1, MRO, RERGL, TTLL3, TRIM61, TRIM73, and ZNF793) could be validated at the single-cell type level with both methods. We present for the first time the cell type-specific spatial localization of 18 MPs in human ovarian follicles, thereby showcasing the utility of the HPA database as an important resource for identification of MPs suitable for exploration in specialized tissue samples. The results constitute a starting point for further quantitative and qualitative analysis of the human ovaries, and the novel data for the seven proteins that were validated with both methods should be considered as evidence of existence of these proteins in human ovary. American Chemical Society 2022-09-15 /pmc/articles/PMC10088045/ /pubmed/36108145 http://dx.doi.org/10.1021/acs.jproteome.2c00392 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Méar, Loren Sutantiwanichkul, Thanadol Östman, Josephine Damdimopoulou, Pauliina Lindskog, Cecilia Spatial Proteomics for Further Exploration of Missing Proteins: A Case Study of the Ovary |
title | Spatial Proteomics
for Further Exploration of Missing
Proteins: A Case Study of the Ovary |
title_full | Spatial Proteomics
for Further Exploration of Missing
Proteins: A Case Study of the Ovary |
title_fullStr | Spatial Proteomics
for Further Exploration of Missing
Proteins: A Case Study of the Ovary |
title_full_unstemmed | Spatial Proteomics
for Further Exploration of Missing
Proteins: A Case Study of the Ovary |
title_short | Spatial Proteomics
for Further Exploration of Missing
Proteins: A Case Study of the Ovary |
title_sort | spatial proteomics
for further exploration of missing
proteins: a case study of the ovary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088045/ https://www.ncbi.nlm.nih.gov/pubmed/36108145 http://dx.doi.org/10.1021/acs.jproteome.2c00392 |
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