Evidence map›Paper›PMID 28834292›Full record

ArticleProteomics2017

Cell Surface Proteomics of N-Linked Glycoproteins for Typing of Human Lymphocytes.

Nicole A Haverland, Matthew Waas, Ioanna Ntai, Theodore Keppel, Rebekah L Gundry, Neil L Kelleher

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 22 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

6 authors at 3 institutions in 1 country.

Nicole A HaverlandDepartments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA.
Matthew WaasDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
Ioanna NtaiDepartments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA.
Theodore KeppelDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
Rebekah L GundryDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
Neil L KelleherDepartments of Chemistry, Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA.
Medical College of Wisconsin · USNorthwestern University · USDigital Proteomics (United States) · 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

Lymphocytes are immune cells that are critical for the maintenance of adaptive immunity. Differentiation of lymphoid progenitors yields B-, T-, and NK-cell subtypes that individually correlate with specific forms of leukemia or lymphoma. Therefore, it is imperative a precise method of cell categorization is utilized to detect differences in distinct disease states present in patients. One viable means of classification involves evaluation of the cell surface proteome of lymphoid malignancies. Specifically, this manuscript details the use of an antibody independent approach known as Cell Surface Capture Technology, to assess the N-glycoproteome of four human lymphocyte cell lines. Altogether, 404 cell surface N-glycoproteins were identified as markers for specific cell types involved in lymphocytic malignancies, including 82 N-glycoproteins that had not been previously been described for B or T cells within the Cell Surface Protein Atlas. Comparative analysis, hierarchical clustering techniques, and label-free quantitation were used to reveal proteins most informative for each cell type. Undoubtedly, the characterization of the cell surface proteome of lymphoid malignancies is a first step toward improving personalized diagnosis and treatment of leukemia and lymphoma.

Indexed as

Biomarkers, TumorCell MembraneCells, CulturedGlycoproteinsHumansLeukemiaLymphocytesLymphomaProteomeProteomicsBiomarkers, TumorGlycoproteinsProteomecell surface proteinsN-glycoproteinsplasma membrane

Identifiers

PMID28834292
PMCPMC5633517
OpenAlexW2746668160

What OpenQuestion holds

Textmetadata
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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.