Evidence map›Paper›PMID 25117693›Full record

ArticleFungal genetics and biology : FG & B2014

Structural analysis of N- and O-glycans using ZIC-HILIC/dialysis coupled to NMR detection.

Yi Qu, Ju Feng, Shuang Deng, Li Cao, Qibin Zhang, Rui Zhao, Zhaorui Zhang, Yuxuan Jiang, Erika M Zink, Scott E Baker and 4 more

Open access · greenAbstract read
In one paragraph

Article in Fungal genetics and biology : FG & B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 2 institutions in 1 country.

Yi QuFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Ju FengFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Shuang DengEnergy and Environment Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Li CaoFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Qibin ZhangFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Rui ZhaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Zhaorui ZhangEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Yuxuan JiangEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Erika M ZinkFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Scott E BakerEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Mary S LiptonFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Ljiljana Paša-TolićEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Jian Zhi HuFundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Si WuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA. Electronic address: Si.Wu@pnnl.gov.
Pacific Northwest National Laboratory · USEnvironmental Molecular Sciences Laboratory · US

Funding

Slow-MAS NMR MetabolomicsR01ES022176 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI HU, JIAN ZHI · 2012 to 2015
$1.6M
NIEHS NIH HHS R01 ES022176NIEHS NIH HHS R01ES022176
6 · The paper itself

Abstract

Protein glycosylation, an important and complex post-translational modification (PTM), is involved in various biological processes, including the receptor-ligand and cell-cell interaction, and plays a crucial role in many biological functions. However, little is known about the glycan structures of important biological complex samples, and the conventional glycan enrichment strategy (i.e., size-exclusion column [SEC] separation) prior to nuclear magnetic resonance (NMR) detection is time-consuming and tedious. In this study, we developed a glycan enrichment strategy that couples Zwitterionic hydrophilic interaction liquid chromatography (ZIC-HILIC) with dialysis to enrich the glycans from the pronase E digests of RNase B, followed by NMR analysis of the glycoconjugate. Our results suggest that the ZIC-HILIC enrichment coupled with dialysis is a simple, fast, and efficient sample preparation approach. The approach was thus applied to analysis of a biological complex sample, the pronase E digest of the secreted proteins from the fungus Aspergillus niger. The NMR spectra revealed that the secreted proteins from A. niger contain both N-linked glycans with a high-mannose core similar to the structure of the glycan from RNase B, and O-linked glycans bearing mannose and glucose with 1→3 and 1→6 linkages. In all, our study provides compelling evidence that ZIC-HILIC separation coupled with dialysis is very effective and accessible in preparing glycans for the downstream NMR analysis, which could greatly facilitate the future NMR-based glycoproteomics research.

Indexed as

Aspergillus nigerChromatography, LiquidDialysisFungal ProteinsMagnetic Resonance SpectroscopyPolysaccharidesFungal ProteinsPolysaccharidesA. nigerDialysisGlycanNMRSecretomeZIC-HILIC

Identifiers

PMID25117693
PMCPMC5175459
OpenAlexW2001250435

What OpenQuestion holds

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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.