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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...

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Autores principales: Méar, Loren, Sutantiwanichkul, Thanadol, Östman, Josephine, Damdimopoulou, Pauliina, Lindskog, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
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.
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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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