Evidence map›Paper›PMID 37737997›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

De Novo Transcriptomic Analyses to Identify and Compare Allergens in Foods.

Shaymaviswanathan Karnaneedi, Vachiranee Limviphuvadh, Sebastian Maurer-Stroh, Andreas L Lopata

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Shaymaviswanathan KarnaneediMolecular Allergy Research Laboratory, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia. shaymaviswanathan.karnaneedi@my.jcu.edu.au.
Vachiranee LimviphuvadhBiomolecular Function Discovery Division, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, Singapore.
Sebastian Maurer-StrohBiomolecular Function Discovery Division, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, Singapore.
Andreas L LopataMolecular Allergy Research Laboratory, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food allergens have been traditionally identified using biomolecular and immunological approaches. However, the techniques used in extracting proteins from the food source to be analyzed may hinder the availability of all proteins when assessing immunological allergenicity. Additionally, depending on the number and pool of patient sera used to detect the IgE antibody-binding allergens, some allergens may not be detected if not all the patients in the pool are sensitized to all the allergens. To overcome these limitations, we describe an additional approach before the in vitro approaches, by analyzing the transcriptome in silico for all putative allergens within the analyzed food source.

Indexed as

AllergensTranscriptomeAntibodiesFoodGene Expression ProfilingHumansAllergensAntibodiesAllergen databaseAllergen identificationBioinformaticsBLAST searchFood allergenHomologous allergenRNA-SeqTranscriptome assemblyTranscriptomicTropomyosin

Identifiers

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.