Evidence map›Paper›PMID 25029481›Full record

ArticleACS chemical biology2014

Imaging of N-linked glycans from formalin-fixed paraffin-embedded tissue sections using MALDI mass spectrometry.

Shadi Toghi Eshghi, Shuang Yang, Xiangchun Wang, Punit Shah, Xingde Li, Hui Zhang

Abstract read
In one paragraph

Article in ACS chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
  2. Article
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  6. Review
  7. Enhanced Detection of ChargedAnalytical chemistry · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. The dynamic brain N-glycome.Glycoconjugate journal · 2022
    Review
  12. Review
  13. Article
  14. Mass Spectrometry Imaging ofJournal of proteome research · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Review
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  20. Article
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 2 institutions in 1 country.

Shadi Toghi EshghiDepartment of Biomedical Engineering, ‡Department of Pathology, School of Medicine, Johns Hopkins University , Baltimore, Maryland 21231, United States.
Shuang Yang
Xiangchun Wang
Punit Shah
Xingde Li
Hui Zhang
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
Probing the Connections between Monosaccharide Analogs, Sialic Acid Metabolism, aR01CA112314 · NCI · JOHNS HOPKINS UNIVERSITY · PI YAREMA, KEVIN J · 2005 to 2022
$4.5M
NCI NIH HHS R01 CA112314NCI NIH HHS R01CA112314NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813NCI NIH HHS U24 CA115102NCI NIH HHS U24CA115102NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036NHLBI NIH HHS N01-HV-00240NHLBI NIH HHS P01 HL107153NHLBI NIH HHS P01HL107153
6 · The paper itself

Abstract

Aberrant glycosylation is associated with most of the diseases. Direct imaging and profiling of N-glycans on tissue sections can reveal tissue-specific and/or disease-associated N-glycans, which not only could serve as molecular signatures for diagnosis but also shed light on the functional roles of these biomolecules. Mass spectrometry imaging (MSI) is a powerful tool that has been used to correlate peptides, proteins, lipids, and metabolites with their underlying histopathology in tissue sections. Here, we report an MSI technique for direct analysis of N-glycans from formalin-fixed paraffin-embedded (FFPE) tissues. This technique consists of sectioning FFPE tissues, deparaffinization, and rehydration of the sections, denaturing tissue proteins, releasing N-linked glycans from proteins by printing peptide-N-glycosidase F over the sections, spray-coating the tissue with matrix, and analyzing N-glycans by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Brain sections from a C57BL/6 mouse were imaged using this technique at a resolution of 100 μm. Forty-two N-glycans were analyzed from the mouse brain section. The mass spectrometry images were used to study the relative abundance of oligomannose, nonfucosylated, and fucosylated complex N-glycans in different brain areas including isocortex, hippocampal formation, and brainstem and specific glycans associated with different areas of the brain were identified. Furthermore, glioblastoma tumor xenografts in a NOD/SCID mouse were imaged. Several glycans with differential expression in tumor versus normal brain tissues were identified. The MSI technique allows for imaging of N-glycans directly from FFPE sections. This method can potentially identify tissue-specific and/or disease-associated glycans coexpressed with other molecular signatures or within certain histological structures.

Indexed as

AnimalsBrainBrain NeoplasmsCarbohydrate ConformationFormaldehydeGlioblastomaGlycosylationHumansMaleMice, Inbred C57BLMice, SCIDMolecular ImagingParaffin EmbeddingPeptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine AmidasePolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationFormaldehydePeptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine AmidasePolysaccharides

Identifiers

PMID25029481
PMCPMC4168804
OpenAlexW2332220828

What OpenQuestion holds

Textmetadata
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.