Evidence map›Paper›PMID 34972931›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

General Strategies for Glycan Microarray Data Processing and Analysis.

J Sebastian Temme, Jeffrey C Gildersleeve

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
  4. Article
  5. 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

2 authors.

J Sebastian TemmeChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA.
Jeffrey C GildersleeveChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA. gildersj@mail.nih.gov.

Funding

Development of a Carbohydrate MicroarrayZIABC010675 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFFREY · 2009 to 2025
$6.1M
6 · The paper itself

Abstract

Glycan microarrays provide a high-throughput technology for rapidly profiling interactions between carbohydrates and glycan-binding proteins (GBPs). Use of glycan microarrays involves several general steps, including construction of the microarray, carrying out the assay, detection of binding events, and analysis of the results. While multiple platforms have been developed to construct microarrays, most utilize fluorescence for detection of binding events. This chapter describes methods to acquire and process microarray images, including generating GAL files, imaging of the slide, aligning the grid, detecting problematic spots, and evaluating the quality of the data. The chapter focuses on processing our neoglycoprotein microarrays, but many of the lessons we have learned are applicable to other array formats.

Indexed as

CarbohydratesPolysaccharidesCarrier ProteinsMicroarray AnalysisCarbohydratesCarrier ProteinsPolysaccharidesCarbohydratesData AnalysisGlycan-Binding ProteinGlycan MicroarrayGlycobiologyHigh-throughput screeningLectins

Identifiers

PMID34972931

What OpenQuestion holds

Textmetadata
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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.