Evidence map›Paper›PMID 36864202›Full record

ArticleNature methods2023

Combining long-term circuit mapping and network transcriptomics with SiR-N2c.

Hassal Lee, Ernesto Ciabatti, Ana González-Rueda, Elena Williams, Fiona Nugent, Souradip Mookerjee, Fabio Morgese, Marco Tripodi

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 5% 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, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Hassal Lee *Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0003-4782-128X
Ernesto Ciabatti *Medical Research Council Laboratory of Molecular Biology, Cambridge, UK. ciabatti@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0001-9361-5992
Ana González-RuedaMedical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0001-8007-4728
Elena WilliamsMedical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0001-5765-6738
Fiona NugentIMAXT Laboratory, Cancer Research UK Cambridge Institute, Cambridge, UK.
Souradip MookerjeeSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4904-1324
Fabio MorgeseMedical Research Council Laboratory of Molecular Biology, Cambridge, UK.
Marco TripodiMedical Research Council Laboratory of Molecular Biology, Cambridge, UK. mtripodi@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-6827-6690
MRC Laboratory of Molecular Biology · GBCancer Research UK Cambridge Center · GBUniversity of Cambridge · GB

Funding

European Research Council STG 677029Medical Research Council MC_UP_1201/2Wellcome Trust 110161/Z/15/Z
6 · The paper itself

Abstract

An exciting frontier in circuit neuroscience lies at the intersection between neural network mapping and single-cell genomics. Monosynaptic rabies viruses provide a promising platform for the merger of circuit mapping methods with -omics approaches. However, three key limitations have hindered the extraction of physiologically meaningful gene expression profiles from rabies-mapped circuits: inherent viral cytotoxicity, high viral immunogenicity and virus-induced alteration of cellular transcriptional regulation. These factors alter the transcriptional and translational profiles of infected neurons and their neighboring cells. To overcome these limitations we applied a self-inactivating genomic modification to the less immunogenic rabies strain, CVS-N2c, to generate a self-inactivating CVS-N2c rabies virus (SiR-N2c). SiR-N2c not only eliminates undesired cytotoxic effects but also substantially reduces gene expression alterations in infected neurons and dampens the recruitment of innate and acquired immune responses, thus enabling open-ended interventions on neural networks and their genetic characterization using single-cell genomic approaches.

Indexed as

RabiesRabies virusAntigens, ViralGlycoproteinsHumansTranscriptomeAntigens, ViralGlycoproteins

Identifiers

PMID36864202
PMCPMC7614628
OpenAlexW4322766206

What OpenQuestion holds

Textmetadata
LicenceTDM
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.