ArticleProteomics2017
N-glycoprotein surfaceome of human induced pluripotent stem cell derived hepatic endoderm.
Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Proteomics applications in next generation induced pluripotent stem cell models.Expert review of proteomics · 2024Review
- Article
- Defining the Cell Surface Cysteinome using Two-step Enrichment Proteomics.bioRxiv : the preprint server for biology · 2023Article
- Systematic characterization of extracellular glycoproteins using mass spectrometry.Mass spectrometry reviews · 2023Review
- Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts.Nature cardiovascular research · 2023Article
- Glycoproteomics Identifies Plexin-B3 as a Targetable Cell Surface Protein Required for the Growth and Invasion of Triple-Negative Breast Cancer Cells.Journal of proteome research · 2022Article
- The Roseoloviruses Downregulate the Protein Tyrosine Phosphatase PTPRC (CD45).Journal of virology · 2021Article
- Assessment of Streptavidin Bead Binding Capacity to Improve Quality of Streptavidin-based Enrichment Studies.Journal of proteome research · 2021Article
- A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics.Molecular & cellular proteomics : MCP · 2021Review
- The quest of cell surface markers for stem cell therapy.Cellular and molecular life sciences : CMLS · 2021Review
- SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates.Bioinformatics (Oxford, England) · 2020Article
- Recent Advances in Glycoproteomic Analysis by Mass Spectrometry.Analytical chemistry · 2020Review
- Proteomic analysis of the cardiac extracellular matrix: clinical research applications.Expert review of proteomics · 2018Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Using cell surface capture technology, the cell surface N-glycoproteome of human-induced pluripotent stem cell derived hepatic endoderm cells was assessed. Altogether, 395 cell surface N-glycoproteins were identified, represented by 1273 N-glycopeptides. This study identified N-glycoproteins that are not predicted to be localized to the cell surface and provides experimental data that assist in resolving ambiguous or incorrectly annotated transmembrane topology annotations. In a proof-of-concept analysis, combining these data with other cell surface proteome datasets is useful for identifying potentially cell type and lineage restricted markers and drug targets to advance the use of stem cell technologies for mechanistic developmental studies, disease modeling, drug discovery, and regenerative medicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.