Evidence map›Paper›PMID 36370281›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Super-SILAC Quantitative Proteome Profiling of Zebrafish Larvae.

Guillermo Aragoneses-Cazorla, Andres Machuca, M Pilar Buendia-Nacarino, Daniela S Anunciação, Estefania Garcia-Calvo, Jose L Luque-Garcia

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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

6 authors.

Guillermo Aragoneses-CazorlaAnalytical Chemistry Department, Faculty of Chemical Sciences, Complutense University of Madrid, Madrid, Spain.
Andres MachucaAnalytical Chemistry Department, Faculty of Chemical Sciences, Complutense University of Madrid, Madrid, Spain.
M Pilar Buendia-NacarinoAnalytical Chemistry Department, Faculty of Chemical Sciences, Complutense University of Madrid, Madrid, Spain.
Daniela S AnunciaçãoInstituto de Química e Biotecnologia, Universidade Federal de Alagoas, Maceió, AL, Brazil.
Estefania Garcia-CalvoAnalytical Chemistry Department, Faculty of Chemical Sciences, Complutense University of Madrid, Madrid, Spain. egcalvo@ucm.es.
Jose L Luque-GarciaAnalytical Chemistry Department, Faculty of Chemical Sciences, Complutense University of Madrid, Madrid, Spain. jlluque@ucm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The super-SILAC approach enables the quantitative proteome profiling of highly complex samples such as biological tissues or whole organisms. In this approach, a super-SILAC mix consisting of heavy isotope-labeled cells representative of the tissue or organism to be analyzed is mixed with the unlabeled samples of interest, such that the labeled proteins act as a spike-in standard, thus allowing the relative quantification of proteins between the samples of interest. In this chapter, we thoroughly describe the protocol to carry out the super-SILAC approach using a common in vivo model such as zebrafish larvae.

Indexed as

ProteomeProteomicsAnimalsIsotope LabelingLarvaZebrafishProteomeProteome profilingQuantitative proteomicsSuper-SILACSuper-SILAC mixZebrafish larvae

Identifiers

PMID36370281

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.