Evidence map›Paper›PMID 32203389›Full record

ArticleNature methods2020

RecV recombinase system for in vivo targeted optogenomic modifications of single cells or cell populations.

Shenqin Yao, Peng Yuan, Ben Ouellette, Thomas Zhou, Marty Mortrud, Pooja Balaram, Soumya Chatterjee, Yun Wang, Tanya L Daigle, Bosiljka Tasic and 12 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-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

32 citing papers in PubMed, 50 citations in OpenAlex.

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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

22 authors at 6 institutions in 2 countries.

Shenqin Yao *Allen Institute for Brain Science, Seattle, WA, USA.
Peng Yuan *CNC Program, Stanford University, Palo Alto, CA, USA.
Ben OuelletteAllen Institute for Brain Science, Seattle, WA, USA.
Thomas ZhouAllen Institute for Brain Science, Seattle, WA, USA.
Marty MortrudAllen Institute for Brain Science, Seattle, WA, USA.
Pooja BalaramAllen Institute for Brain Science, Seattle, WA, USA.
Soumya ChatterjeeAllen Institute for Brain Science, Seattle, WA, USA.
Yun WangAllen Institute for Brain Science, Seattle, WA, USA.
Tanya L DaigleAllen Institute for Brain Science, Seattle, WA, USA.
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6861-4506
Xiuli KuangSchool of Optometry and Ophthalmology, Wenzhou Medical College, Wenzhou, China.
Hui GongBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Qingming LuoBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0002-6725-9311
Shaoqun ZengBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Andrew CurtrightDepartment of Biological Structure, University of Washington, Seattle, WA, USA.
Ajay DhakaDepartment of Biological Structure, University of Washington, Seattle, WA, USA.
Anat KahanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Viviana GradinaruDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-5868-348X
Radosław ChrapkiewiczCNC Program, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-9923-4274
Mark SchnitzerCNC Program, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-1431-8533
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0326-5878
Ali CetinAllen Institute for Brain Science, Seattle, WA, USA. alic@stanford.edu.ORCID http://orcid.org/0000-0003-1510-0517
Allen Institute for Brain Science · USPalo Alto University · USWuhan National Laboratory for Optoelectronics · CNCalifornia Institute of Technology · USUniversity of Washington · USWenzhou Medical University · CN

Funding

Transgenic mice and multiplexed, multi-beam instrumentation for large-scale optical experiments on brain states and ensemble cellular dynamics in behaving animalsUF1NS107610 · NINDS · STANFORD UNIVERSITY · PI SCHNITZER, MARK J, ZENG, HONGKUI · 2018 to 2018
$2.9M
Brain circuit mapping using light inducible recombinase systemsRF1MH114106 · NIMH · STANFORD UNIVERSITY · PI CETIN, ALI HAYDAR · 2017 to 2017
$2.3M
Temporal, cell type- and locus-specific epigenetic control in transgenic miceR01DA036909 · NIDA · ALLEN INSTITUTE · PI TASIC, BOSILJKA · 2013 to 2017
$2.3M
Noninvasive Gene Delivery for Monitoring and Perturbing Cell Types and Circuits in Transgenic and Non-Transgenic AnimalsRF1MH117069 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GRADINARU, VIVIANA · 2018 to 2018
$2.3M
NIDA NIH HHS R01 DA036909NIMH NIH HHS RF1 MH114106NIMH NIH HHS RF1 MH117069NINDS NIH HHS UF1 NS107610
6 · The paper itself

Abstract

Brain circuits comprise vast numbers of interconnected neurons with diverse molecular, anatomical and physiological properties. To allow targeting of individual neurons for structural and functional studies, we created light-inducible site-specific DNA recombinases based on Cre, Dre and Flp (RecVs). RecVs can induce genomic modifications by one-photon or two-photon light induction in vivo. They can produce targeted, sparse and strong labeling of individual neurons by modifying multiple loci within mouse and zebrafish genomes. In combination with other genetic strategies, they allow intersectional targeting of different neuronal classes. In the mouse cortex they enable sparse labeling and whole-brain morphological reconstructions of individual neurons. Furthermore, these enzymes allow single-cell two-photon targeted genetic modifications and can be used in combination with functional optical indicators with minimal interference. In summary, RecVs enable spatiotemporally precise optogenomic modifications that can facilitate detailed single-cell analysis of neural circuits by linking genetic identity, morphology, connectivity and function.

Indexed as

OptogeneticsAnimalsBrainGene Expression RegulationGenetic EngineeringGenomicsMiceNeuronsRecombinasesZebrafishRecombinases

Identifiers

PMID32203389
PMCPMC7135964
OpenAlexW3012781369

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.