Evidence map›Paper›PMID 41147598›Full record

ArticleFEBS letters2026

A Cre-dependent lentiviral vector for neuron subtype-specific expression of large proteins.

Weixuan Xue, Sandrine Picaud, Régine Hepp, Stéphanie Pons, Uwe Maskos, Bertrand Lambolez, Ludovic Tricoire

Abstract read
In one paragraph

Article in FEBS letters, 2026. 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

7 authors.

Weixuan XueSorbonne Université, CNRS, Inserm, Center of Neuroscience Neuro-SU, Paris, France.
Sandrine PicaudSorbonne Université, CNRS, Inserm, Center of Neuroscience Neuro-SU, Paris, France.
Régine HeppSorbonne Université, CNRS, Inserm, Center of Neuroscience Neuro-SU, Paris, France.
Stéphanie PonsInstitut Pasteur, Université Paris Cité, Unité Neurobiologie Intégrative des Systèmes Cholinergiques, Centre National de la Recherche Scientifique (CNRS), Paris, France.
Uwe MaskosInstitut Pasteur, Université Paris Cité, Unité Neurobiologie Intégrative des Systèmes Cholinergiques, Centre National de la Recherche Scientifique (CNRS), Paris, France.
Bertrand LambolezSorbonne Université, CNRS, Inserm, Center of Neuroscience Neuro-SU, Paris, France.
Ludovic TricoireSorbonne Université, CNRS, Inserm, Center of Neuroscience Neuro-SU, Paris, France.ORCID 0000-0003-3345-1468

Funding

Agence Nationale de la Recherche ANR-16-CE16-0014-01Brain and Behavior Research Foundation
6 · The paper itself

Abstract

Lentiviral vectors are powerful tools for long-term expression of large genes in the mammalian brain, but the palette of lentiviral tools available for targeting specific cell subpopulations is restricted. We describe a lentiviral vector for neuronal subtype-specific expression in Cre mouse lines. Combining a Cre-dependent flip excision switch with a GFP and a 2A self-cleaving peptide, it enables identification of living neurons expressing a gene of interest using fluorescence. We validated this vector by targeting neocortical interneuron types and midbrain dopaminergic neurons. Gene expression occurred exclusively in Cre-expressing neurons without altering their basic electrophysiological properties. This system has been designed to be flexible and easy to modify in order to target expression of any gene of interest in any cell subtype.

Indexed as

Genetic VectorsIntegrasesLentivirusNeuronsAnimalsDopaminergic NeuronsGene ExpressionGreen Fluorescent ProteinsHumansInterneuronsMiceCre recombinaseGreen Fluorescent ProteinsIntegrasescell‐specific expressionCre recombinaseneuron targetingviral vector

Identifiers

PMID41147598
PMCPMC12883904

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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.