Evidence map›Paper›PMID 40601139›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Printing High-Density Human Protein Fragments on Epoxy-Treated Slides.

Eni Andersson, Jennie Olofsson, Lovisa Skoglund, Ceke Hellström, Ronald Sjöberg

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. 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.

Eni AnderssonSciLifeLab Autoimmunity and Serology Profiling Unit, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Jennie OlofssonSciLifeLab Autoimmunity and Serology Profiling Unit, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Lovisa SkoglundSciLifeLab Autoimmunity and Serology Profiling Unit, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Ceke HellströmSciLifeLab Autoimmunity and Serology Profiling Unit, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Ronald SjöbergSciLifeLab Autoimmunity and Serology Profiling Unit, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden. ronald.sjoberg@scilifelab.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deposition of affinity reagents on to spatially discrete solid substrates is utilized for constructing protein microarrays. Protein microarrays have found their way into various applications within characterisation of proteins, affinity binders, and diseases, for diagnostics and biomarker discovery purposes. The most common methods of producing protein microarrays are by immobilizing the proteins on a solid support consisting of either microspheres or functionalized planar microscope slides, both of which have different pros and cons as pertaining to throughput, storage stability, accessibility, etc. For extensive collections of proteins, the planar format is often preferred as planar substrates, such as functionalized microscope slides, can hold multiple tens of thousands of different proteins if arrayed at a high enough density. In this chapter, we detail our production of high-density planar protein microarrays comprising of 42,100 protein fragments derived from 18,955 Ensembl Gene ID (Ensembl Release 112 (May 2024)).

Indexed as

Epoxy ResinsProtein Array AnalysisProteinsHumansMicrospheresEpoxy ResinsProteinsAffinity proteomicsAntigen microarraysHigh-density arraysProtein microarrays

Identifiers

PMID40601139

What OpenQuestion holds

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Registered trials

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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.