Evidence map›Paper›PMID 36748112›Full record

ArticleJournal of proteome research2023

Extending the Range of SLIM-Labeling Applications: From Human Cell Lines in Culture to

Laurent Lignieres, Nicolas Sénécaut, Tien Dang, Laura Bellutti, Marion Hamon, Samuel Terrier, Véronique Legros, Guillaume Chevreux, Gaëlle Lelandais, René-Marc Mège and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of proteome research, 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, top 99% 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

12 authors at 3 institutions in 1 country.

Laurent LignieresUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Nicolas SénécautUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.ORCID 0000-0001-7948-6776
Tien DangUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Laura BelluttiUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Marion HamonInstitut de Biologie Physico-Chimique, F-75005 Paris, France.
Samuel TerrierUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Véronique LegrosUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Guillaume ChevreuxUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Gaëlle LelandaisInstitut de Biologie Intégrative de la Cellule, F-91190 Gif-sur-Yvette, France.
René-Marc MègeUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Julien DumontUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Jean-Michel CamadroUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.ORCID 0000-0002-8549-2707
Centre National de la Recherche Scientifique · FRInstitut de Biologie Intégrative de la Cellule · FRInstitut de Biologie Physico-Chimique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The simple light isotope metabolic-labeling technique relies on the

Indexed as

Caenorhabditis elegansProteomeAmino AcidsAnimalsCell LineEscherichia coliHumansIsotope LabelingIsotopesSaccharomyces cerevisiaeAmino AcidsIsotopesProteomeauxinbottom-up proteomicsCaenorhabditis elegansessential amino acidshuman cell linemass spectrometrysimple light isotope metabolic labeling

Identifiers

PMID36748112
PMCPMC9990122
OpenAlexW4319333467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.