Evidence map›Paper›PMID 35893580›Full record

ArticleMethods and protocols2022

Sandwich Enzyme-Linked Immunosorbent Assay for Quantification of Callose.

Abubakar S Mustafa, Jamilu E Ssenku, Paul Ssemanda, Saidi Ntambi, Savithramma P Dinesh-Kumar, Arthur K Tugume

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2022. 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, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

Abubakar S MustafaDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.ORCID 0000-0003-2015-2696
Jamilu E SsenkuDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.ORCID 0000-0003-3220-8319
Paul SsemandaDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.
Saidi NtambiDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.ORCID 0000-0003-2622-1891
Savithramma P Dinesh-KumarDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616, USA.ORCID 0000-0001-5738-316X
Arthur K TugumeDepartment of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.ORCID 0000-0003-3689-6745
Makerere University · UGUniversity of California, Davis · US

Funding

Bill and Melinda Gates Foundation INV009894/OPP1134098
6 · The paper itself

Abstract

The existing methods of callose quantification include epifluorescence microscopy and fluorescence spectrophotometry of aniline blue-stained callose particles, immuno-fluorescence microscopy and indirect assessment of both callose synthase and β-(1,3)-glucanase enzyme activities. Some of these methods are laborious, time consuming, not callose-specific, biased and require high technical skills. Here, we describe a method of callose quantification based on Sandwich Enzyme-Linked Immunosorbent Assay (S-ELISA). Tissue culture-derived banana plantlets were inoculated with

Indexed as

bananabiotic stresscalloseenzyme-linked immunosorbent assay (ELISA)Xanthomonas campestris pv. musacearum

Identifiers

PMID35893580
PMCPMC9326611
OpenAlexW4283593633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.