Evidence map›Paper›PMID 36108145›Full record

ArticleJournal of proteome research2023

Spatial Proteomics for Further Exploration of Missing Proteins: A Case Study of the Ovary.

Loren Méar, Thanadol Sutantiwanichkul, Josephine Östman, Pauliina Damdimopoulou, Cecilia Lindskog

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Loren MéarDepartment of Immunology, Genetics and Pathology, Uppsala University, 75185Uppsala, Sweden.ORCID 0000-0001-9333-0110
Thanadol SutantiwanichkulDepartment of Immunology, Genetics and Pathology, Uppsala University, 75185Uppsala, Sweden.
Josephine ÖstmanDepartment of Immunology, Genetics and Pathology, Uppsala University, 75185Uppsala, Sweden.
Pauliina DamdimopoulouDivision of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, 14186Stockholm, Sweden.
Cecilia LindskogDepartment of Immunology, Genetics and Pathology, Uppsala University, 75185Uppsala, Sweden.ORCID 0000-0001-5611-1015
Uppsala University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

OvaryProteomicsAntibodiesFemaleGene Expression ProfilingHumansProteinsProteomeAntibodiesProteinsProteomeantibody-based proteomicsHuman Protein Atlashuman proteomeimmunohistochemistrymissing proteinsovarytissuesTMAtranscriptomics

Identifiers

PMID36108145
PMCPMC10088045
OpenAlexW4295932317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.