Evidence map›Paper›PMID 38212587›Full record

ArticleNature neuroscience2024

Long-term labeling and imaging of synaptically connected neuronal networks in vivo using double-deletion-mutant rabies viruses.

Lei Jin, Heather A Sullivan, Mulangma Zhu, Thomas K Lavin, Makoto Matsuyama, Xin Fu, Nicholas E Lea, Ran Xu, YuanYuan Hou, Luca Rutigliani and 9 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Molecular Engineering of Virus Tropism.International journal of molecular sciences · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 2 countries.

Lei JinMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7264-4409
Heather A SullivanMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mulangma ZhuMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Thomas K LavinMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0269-3325
Makoto MatsuyamaMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xin FuMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nicholas E LeaMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ran XuMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
YuanYuan HouMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Luca RutiglianiMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Maxwell PrunerMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kelsey R BabcockMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9089-8314
Jacque Pak Kan IpDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4545-8261
Ming HuDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5254-5315
Tanya L DaigleAllen Institute for Brain Science, Seattle, WA, USA.
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0326-5878
Mriganka SurDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2442-5671
Guoping FengMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-8021-277X
Ian R WickershamMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. wickersham@mit.edu.ORCID http://orcid.org/0000-0003-0389-5324
McGovern Institute for Brain Research · USAllen Institute for Brain Science · USBaylor College of Medicine · USBroad Institute · USChinese University of Hong Kong · HKMassachusetts Institute of Technology · US

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Re-engineering Rabies VirusRF1MH120017 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WICKERSHAM, IAN R · 2019 to 2019
$2.6M
Novel technologies for nontoxic transsynaptic tracingU01MH106018 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WICKERSHAM, IAN R · 2014 to 2016
$2.5M
NIMH NIH HHS RF1 MH120017NIMH NIH HHS U01 MH106018NIMH NIH HHS U01 MH114829NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

Rabies-virus-based monosynaptic tracing is a widely used technique for mapping neural circuitry, but its cytotoxicity has confined it primarily to anatomical applications. Here we present a second-generation system for labeling direct inputs to targeted neuronal populations with minimal toxicity, using double-deletion-mutant rabies viruses. Viral spread requires expression of both deleted viral genes in trans in postsynaptic source cells. Suppressing this expression with doxycycline following an initial period of viral replication reduces toxicity to postsynaptic cells. Longitudinal two-photon imaging in vivo indicated that over 90% of both presynaptic and source cells survived for the full 12-week course of imaging. Ex vivo whole-cell recordings at 5 weeks postinfection showed that the second-generation system perturbs input and source cells much less than the first-generation system. Finally, two-photon calcium imaging of labeled networks of visual cortex neurons showed that their visual response properties appeared normal for 10 weeks, the longest we followed them.

Indexed as

Rabies virusNeuronsVirus Replication

Identifiers

PMID38212587
PMCPMC10849964
OpenAlexW4390751523

What OpenQuestion 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 OpenQuestion graph.