Evidence map›Paper›PMID 34687011›Full record

ArticleExperientia supplementum (2012)2021

Bioinformatics in Immunoglobulin Glycosylation Analysis.

Frédérique Lisacek, Kathirvel Alagesan, Catherine Hayes, Steffen Lippold, Noortje de Haan

Abstract read
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In one paragraph

Article in Experientia supplementum (2012), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Frédérique LisacekProteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland. frederique.lisacek@sib.swiss.
Kathirvel AlagesanMax Planck Unit for the Science of Pathogens, Berlin, Germany.
Catherine HayesProteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Steffen LippoldCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Noortje de HaanCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analytical methods developed for studying immunoglobulin glycosylation rely heavily on software tailored for this purpose. Many of these tools are now used in high-throughput settings, especially for the glycomic characterization of IgG. A collection of these tools, and the databases they rely on, are presented in this chapter. Specific applications are detailed in examples of immunoglobulin glycomics and glycoproteomics data processing workflows. The results obtained in the glycoproteomics workflow are emphasized with the use of dedicated visualizing tools. These tools enable the user to highlight glycan properties and their differential expression.

Indexed as

Computational BiologyGlycoproteinsGlycomicsGlycosylationImmunoglobulinsGlycoproteinsImmunoglobulinsDatabaseGlycoinformaticsGlycomicsGlycoproteomicsSoftwareWorkflow

Identifiers

PMID34687011

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.