Evidence map›Paper›PMID 39920306›Full record

ReviewNature protocols2025

Laser microsurgery for presynaptic interrogation.

Hovy Ho-Wai Wong, Alanna J Watt, P Jesper Sjöström

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 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

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

3 authors.

Hovy Ho-Wai WongCentre for Research in Neuroscience, Brain Repair and Integrative Neuroscience Program, Department of Neurology and Neurosurgery, Department of Medicine, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada. hovy.wong@cuhk.edu.hk.ORCID 0000-0003-3317-478X
Alanna J WattBiology Department, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-6371-6220
P Jesper SjöströmCentre for Research in Neuroscience, Brain Repair and Integrative Neuroscience Program, Department of Neurology and Neurosurgery, Department of Medicine, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada. jesper.sjostrom@mcgill.ca.ORCID 0000-0001-7085-2223

Funding

Canada Foundation for Innovation (Fondation canadienne pour l'innovation) LOF 28331Fonds de Recherche du Québec - Santé (Fonds de la recherche en sante du Quebec) 254033Fonds de Recherche du Québec - Santé (Fonds de la recherche en sante du Quebec) 259572Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 153150Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 156223Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 173290Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 191969Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 191997Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) 295104Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) 2016-05118Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) 2017-04730Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) 2017-507818Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) 2024-06712
6 · The paper itself

Abstract

Synaptic connections among neurons are critical for information processing and memory storage in the brain, making them hotspots for neuropathologies. Understanding the physiology of synapses, therefore, may facilitate the development of therapeutic approaches. However, synapses are micrometer-sized functional structures involved in many neuronal processes, where the challenge is deciphering differential signaling in presynaptic and postsynaptic compartments of relatively intact microcircuits. Here we developed a method combining two-photon laser microsurgery with compartment-specific electrophysiological activation and readout to improve the specificity with which neuronal signaling is detected. After finding a connection, femtosecond laser pulses are used to sever the presynaptic axon from the cell body with micrometer precision. This microdissection method is effective to a depth of at least 100 µm. The initial segment of the isolated axon is extracellularly stimulated and activated to release neurotransmitters, as detected via a recipient whole-cell neuron, which is being recorded. This methodology is an alternative to axonal patch-clamp recordings, which are short-lasting and difficult. Together with pharmacology and genetic manipulation, our approach allows the interrogation of compartmentalized signaling in intact synapses. The total time of laser exposure is a few seconds and the microsurgery takes 5-10 min, which enables the interrogation of multiple synapses within an experiment. Our protocol provides a tool to investigate compartment-specific signaling in relatively intact brain tissue, enabling a more comprehensive understanding of neuronal synapses.

Indexed as

Laser TherapyMicrosurgeryPresynaptic TerminalsSynapsesAnimalsAxonsLasersMiceNeuronsRats

Identifiers

What Socratic holds

Textmetadata
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.