Evidence map›Paper›PMID 41279658›Full record

ArticlebioRxiv : the preprint server for biology2025

Targeting the cell membrane in established and emerging model organisms.

Irene Karapidaki, Mette Handberg-Thorsager, Tsuyoshi Momose, Hitoyoshi Yasuo, Grigory Genikhovich, Sarah Assaf, Clara Deleau, Ying Pang, Clayton Pavlich, Beke Lohmann and 19 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

29 authors.

Irene KarapidakiInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon and CNRS, France.ORCID 0009-0008-8913-3219
Mette Handberg-ThorsagerDepartment of Biology and Psychology, University of Göttingen, Germany.ORCID 0000-0002-3908-7233
Tsuyoshi MomoseCentre National de la Recherche Scientifique (CNRS), France.ORCID 0000-0002-3806-3408
Hitoyoshi YasuoCentre National de la Recherche Scientifique (CNRS), France.ORCID 0000-0002-0817-3796
Grigory GenikhovichDepartment of Neurosciences and Developmental Biology, University of Vienna, Austria.ORCID 0000-0003-4864-7770
Sarah AssafCentre National de la Recherche Scientifique (CNRS), France.ORCID 0009-0002-7274-4853
Clara DeleauCentre National de la Recherche Scientifique (CNRS), France.ORCID 0009-0007-4703-9008
Ying PangGZMB, Department of Evolutionary Developmental Genetics, University of Göttingen, Germany.ORCID 0009-0002-5277-3032
Clayton PavlichDepartment of Molecular Biosciences, University of Texas at Austin, Austin TX, USA.ORCID 0009-0003-1359-9155
Beke LohmannDepartment of Biology and Psychology, University of Göttingen, Germany.ORCID 0009-0006-0076-0159
Maria Lorenza RuscianoDepartment of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Napoli, Italy.ORCID 0009-0000-6428-2674
Mattia StrangesEuropean Research Institute for the Biology of Ageing, University of Groningen, Netherlands.ORCID 0009-0008-8512-7970
Juliette MathieuInstitut Pasteur, Université Paris-Cité, CNRS UMR 3691, Paris, France.ORCID 0000-0002-7152-4245
Marie ZillioxInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon and CNRS, France.ORCID 0009-0003-0143-9621
Kirill UstyantsevEuropean Research Institute for the Biology of Ageing, University of Groningen, Netherlands.ORCID 0000-0003-4346-3868
Bastien SalmonBiologie Intégrative des Organismes Marins (BIOM), Sorbonne Université, CNRS, Banyuls-sur-Mer, France.ORCID 0009-0008-7127-0741
Béryl Laplace-BuilhéInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon and CNRS, France.ORCID 0000-0002-1437-587X
Manon KoenigInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon and CNRS, France.ORCID 0009-0009-7537-5134
Jeffrey J ColgrenMichael Sars Centre, University of Bergen, Norway.ORCID 0000-0003-3912-0926
Maria Ina ArnoneDepartment of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Napoli, Italy.ORCID 0000-0002-9012-7624
Eugene BerezikovEuropean Research Institute for the Biology of Ageing, University of Groningen, Netherlands.ORCID 0000-0002-1145-2884
Thibaut BrunetInstitut Pasteur, Université Paris-Cité, CNRS UMR 3691, Paris, France.ORCID 0000-0002-1843-1613
Gregor BucherGZMB, Department of Evolutionary Developmental Genetics, University of Göttingen, Germany.ORCID 0000-0002-4615-6401
Pawel BurkhardtMichael Sars Centre, University of Bergen, Norway.ORCID 0000-0001-9826-057X
Daniel J DickinsonDepartment of Molecular Biosciences, University of Texas at Austin, Austin TX, USA.ORCID 0000-0003-2651-2584
Evelyn HoulistonCentre National de la Recherche Scientifique (CNRS), France.ORCID 0000-0001-9264-2585
Jan HuiskenDepartment of Biology and Psychology, University of Göttingen, Germany.ORCID 0000-0001-7250-3756
Lucas LeclèreCentre National de la Recherche Scientifique (CNRS), France.ORCID 0000-0002-7440-0467
Michalis AverofInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon and CNRS, France.ORCID 0000-0002-6803-7251

Funding

Understanding developmental control of cell polarity using single-cell in vivo biochemistryR01GM138443 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI DICKINSON, DANIEL J · 2020 to 2025
$2.4M
NIGMS NIH HHS R01 GM138443
6 · The paper itself

Abstract

Transgenic markers and tools have revolutionised how we study cells and developing organisms. Some of the elements needed to construct those tools are universally applicable (e.g. fluorescent proteins), while others are species-specific (e.g. cis-regulatory elements driving transcription). Membrane-localising signals that target proteins to the plasma membrane have been identified in several model organisms. Unfortunately, the efficacy of these signals varies greatly across species. To address this problem, we generated a toolkit of 11 membrane-localising tags that can be screened rapidly in diverse organisms. The toolkit includes tags that target the plasma membrane through different mechanisms, including signal peptides, the attachment of lipids, and fusion with lipid-binding domains. Each tag has been fused to the red fluorescent protein mScarlet3 and placed downstream of a T7 promoter, allowing the in vitro production of mRNA that can be readily delivered in a wide range of embryos and cells of interest. Through a collaborative effort, we tested this toolkit in ten species of animals spanning diverse phyla, including chordates, echinoderms, arthropods, nematodes, annelids, flatworms and cnidarians. We identify robust membrane-localising tags in each of these animals, and in one of animals' closest relatives, the choanoflagellates. Three tags (KRas, GAP43 and Src64B) work in all of the species tested.

Indexed as

comparative cell biologyevo devonon-conventional model organismsplasma membrane targeting

Identifiers

PMID41279658
PMCPMC12633465

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.