Evidence map›Paper›PMID 29264798›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Mass Spectrometry-Based Identification of Extracellular Domains of Cell Surface N-Glycoproteins: Defining the Accessible Surfaceome for Immunophenotyping Stem Cells and Their Derivatives.

Chelsea M Fujinaka, Matthew Waas, Rebekah L Gundry

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. 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
7.2field-weighted citation impact, top 3% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Discovery and validation of surfaceJournal for immunotherapy of cancer · 2020
    Article
  7. Review
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

3 authors at 1 institution in 1 country.

Chelsea M FujinakaDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
Matthew WaasDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
Rebekah L GundryDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA. rgundry@mcw.edu.
Medical College of Wisconsin · US

Funding

Cell Surface Phenotyping Human Primary CellsR01HL134010 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUNDRY, REBEKAH L. · 2016 to 2020
$1.9M
Cell Surface Proteins in Human CardiomyocytesR01HL126785 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUNDRY, REBEKAH L. · 2016 to 2019
$1.5M
NHLBI NIH HHS R01 HL126785NHLBI NIH HHS R01 HL134010
6 · The paper itself

Abstract

Human stem cells and their progeny are valuable for a variety of research applications and have the potential to revolutionize approaches to regenerative medicine. However, we currently have limited tools to permit live isolation of homogeneous populations of cells apt for mechanistic studies or cellular therapies. While these challenges can be overcome through the use of immunophenotyping based on accessible cell surface markers, the success of this process depends on the availability of reliable antibodies and well-characterized markers, which are lacking for most stem cell lineages. This chapter outlines an iterative process for the development of new cell surface marker barcodes for identifying and selecting stem cell derived progeny of specific cell types, subtypes, and maturation stages, where antibody-independent identification of cell surface proteins is achieved using a modern chemoproteomic approach to specifically identify N-glycoproteins localized to the cell surface. By taking advantage of a large repository of available cell surfaceome data, proteins that are unlikely to confer cell type specificity can be rapidly eliminated from consideration. Subsequently, targeted quantitation by mass spectrometry can be used to refine candidates of interest, and a bioinformatic visualization tool is key to mapping experimental data to candidate protein sequences for the purpose of epitope selection during the antibody development phase. Overall, the process of developing cell surface barcodes for immunophenotyping is iterative and can include multiple rounds of discovery, refinement, and validation depending on the phenotypic resolution required.

Indexed as

Amino Acid SequenceAntibodiesEpitopesHumansImmunophenotypingMass SpectrometryMembrane GlycoproteinsProtein DomainsProteomeProteomicsStem CellsAntibodiesEpitopesMembrane GlycoproteinsProteomeBarcodeCell surfaceCell surface protein atlasEpitope selectionExtracellular domainImmunophenotypingMass spectrometryN-glycoproteinsProteomics

Identifiers

PMID29264798
PMCPMC5791894
OpenAlexW2781258867

What OpenQuestion holds

Textmetadata
LicenceTDM
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.