Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation

Lindsey J. Macpherson, Emanuela E. Zaharieva, Patrick J. Kearney, Michael H. Alpert, Tzu Yang Lin, Zeynep Turan, Chi Hon Lee, Marco Gallio*

*Corresponding author for this work

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

Determining the pattern of activity of individual connections within a neural circuit could provide insights into the computational processes that underlie brain function. Here, we develop new strategies to label active synapses by trans-synaptic fluorescence complementation in Drosophila. First, we demonstrate that a synaptobrevin-GRASP chimera functions as a powerful activity-dependent marker for synapses in vivo. Next, we create cyan and yellow variants, achieving activity-dependent, multi-colour fluorescence reconstitution across synapses (X-RASP). Our system allows for the first time retrospective labelling of synapses (rather than whole neurons) based on their activity, in multiple colours, in the same animal. As individual synapses often act as computational units in the brain, our method will promote the design of experiments that are not possible using existing techniques. Moreover, our strategies are easily adaptable to circuit mapping in any genetic system.

Original languageEnglish (US)
Article number10024
JournalNature communications
Volume6
DOIs
StatePublished - Dec 4 2015

Fingerprint

synapses
Synapses
Labeling
marking
Brain
Color
Fluorescence
R-SNARE Proteins
color
fluorescence
Networks (circuits)
Design of experiments
Neurons
Labels
Animals
brain
Drosophila
experiment design
neurons
markers

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Macpherson, Lindsey J. ; Zaharieva, Emanuela E. ; Kearney, Patrick J. ; Alpert, Michael H. ; Lin, Tzu Yang ; Turan, Zeynep ; Lee, Chi Hon ; Gallio, Marco. / Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation. In: Nature communications. 2015 ; Vol. 6.
@article{0020320015314b13b4afb72500db5055,
title = "Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation",
abstract = "Determining the pattern of activity of individual connections within a neural circuit could provide insights into the computational processes that underlie brain function. Here, we develop new strategies to label active synapses by trans-synaptic fluorescence complementation in Drosophila. First, we demonstrate that a synaptobrevin-GRASP chimera functions as a powerful activity-dependent marker for synapses in vivo. Next, we create cyan and yellow variants, achieving activity-dependent, multi-colour fluorescence reconstitution across synapses (X-RASP). Our system allows for the first time retrospective labelling of synapses (rather than whole neurons) based on their activity, in multiple colours, in the same animal. As individual synapses often act as computational units in the brain, our method will promote the design of experiments that are not possible using existing techniques. Moreover, our strategies are easily adaptable to circuit mapping in any genetic system.",
author = "Macpherson, {Lindsey J.} and Zaharieva, {Emanuela E.} and Kearney, {Patrick J.} and Alpert, {Michael H.} and Lin, {Tzu Yang} and Zeynep Turan and Lee, {Chi Hon} and Marco Gallio",
year = "2015",
month = "12",
day = "4",
doi = "10.1038/ncomms10024",
language = "English (US)",
volume = "6",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",

}

Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation. / Macpherson, Lindsey J.; Zaharieva, Emanuela E.; Kearney, Patrick J.; Alpert, Michael H.; Lin, Tzu Yang; Turan, Zeynep; Lee, Chi Hon; Gallio, Marco.

In: Nature communications, Vol. 6, 10024, 04.12.2015.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation

AU - Macpherson, Lindsey J.

AU - Zaharieva, Emanuela E.

AU - Kearney, Patrick J.

AU - Alpert, Michael H.

AU - Lin, Tzu Yang

AU - Turan, Zeynep

AU - Lee, Chi Hon

AU - Gallio, Marco

PY - 2015/12/4

Y1 - 2015/12/4

N2 - Determining the pattern of activity of individual connections within a neural circuit could provide insights into the computational processes that underlie brain function. Here, we develop new strategies to label active synapses by trans-synaptic fluorescence complementation in Drosophila. First, we demonstrate that a synaptobrevin-GRASP chimera functions as a powerful activity-dependent marker for synapses in vivo. Next, we create cyan and yellow variants, achieving activity-dependent, multi-colour fluorescence reconstitution across synapses (X-RASP). Our system allows for the first time retrospective labelling of synapses (rather than whole neurons) based on their activity, in multiple colours, in the same animal. As individual synapses often act as computational units in the brain, our method will promote the design of experiments that are not possible using existing techniques. Moreover, our strategies are easily adaptable to circuit mapping in any genetic system.

AB - Determining the pattern of activity of individual connections within a neural circuit could provide insights into the computational processes that underlie brain function. Here, we develop new strategies to label active synapses by trans-synaptic fluorescence complementation in Drosophila. First, we demonstrate that a synaptobrevin-GRASP chimera functions as a powerful activity-dependent marker for synapses in vivo. Next, we create cyan and yellow variants, achieving activity-dependent, multi-colour fluorescence reconstitution across synapses (X-RASP). Our system allows for the first time retrospective labelling of synapses (rather than whole neurons) based on their activity, in multiple colours, in the same animal. As individual synapses often act as computational units in the brain, our method will promote the design of experiments that are not possible using existing techniques. Moreover, our strategies are easily adaptable to circuit mapping in any genetic system.

UR - http://www.scopus.com/inward/record.url?scp=84949310074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949310074&partnerID=8YFLogxK

U2 - 10.1038/ncomms10024

DO - 10.1038/ncomms10024

M3 - Article

C2 - 26635273

AN - SCOPUS:84949310074

VL - 6

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 10024

ER -