Evidence map›Paper›PMID 41542589›Full record

ArticlebioRxiv : the preprint server for biology2026

An orthogonal TRAP enables intersectional genetic access to activated neurons in the mouse brain.

Nikolaos Chatziris, Brooke C Jarvie, Can Liu, Zachary A Knight

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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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

4 authors.

Nikolaos ChatzirisDepartment of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Brooke C JarvieDepartment of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Can LiuNeuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA.
Zachary A KnightDepartment of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.

Funding

Neural Dynamics Underlying FeedingR01DK106399 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Zachary A. Knight · 2015 to 2026
$4.8M
A lateralized pathway for learning about foodR01DK145100 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KNIGHT, ZACHARY A. · 2025 to 2025
$2.6M
Neural mechanisms that control the rate of ingestionR01DK138127 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Zachary A. Knight · 2024 to 2026
$1.4M
NIDDK NIH HHS R01 DK106399NIDDK NIH HHS R01 DK138127NIDDK NIH HHS R01 DK145100
6 · The paper itself

Abstract

The study of neural circuits has been greatly enabled by methods for obtaining genetic access to activated neurons. However, these approaches typically tag neurons based on their response to only a single stimulus, which limits the ability to define precise subpopulations of cells. Here we describe an approach (X-TRAP) in which the activity-dependent expression of Flp recombinase is gated by branaplam, a small molecule that triggers splicing of the X-ON switch. We show that X-TRAP knock-in mice exhibit undetectable Flp recombination in the absence of drug and that branaplam treatment results in robust induction of recombination selectively in neurons that express FOS. Moreover, we show that X-TRAP is orthogonal to the widely-used TRAP system, such that these two approaches can be used in the same animal to label cells with Cre and Flp recombination in response to two different stimuli. We apply this strategy to map neural circuits that control food intake. This approach for intersectional, activity-dependent genetic labeling should enhance our ability to identify the neural correlates of behavior.

Identifiers

PMID41542589
PMCPMC12803082

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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.