Evidence map›Paper›PMID 41338190›Full record

ArticleCell reports methods2025

Development and application of a barcoded rabies viral tracing method for mapping brain-wide inputs to single neurons.

Kang Tan, Ya-Qian Wang, Rong-Rong Yang, Zi-Xuan Shen, Liu Fan, Yi-Jun Zhu, Chun Xu, Hua-Tai Xu

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Kang TanInstitute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Ya-Qian WangLingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China.
Rong-Rong YangInstitute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
Zi-Xuan ShenInstitute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Liu FanLingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China.
Yi-Jun ZhuInstitute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Chun XuInstitute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
Hua-Tai XuLingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China. Electronic address: xuht@lglab.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping the input connections of a single neuron, or the "inputome," is crucial for constructing mesoscopic connectomes at the cellular resolution of the brain. By combining retrograde viral tracing with single-cell RNA sequencing, we developed a barcoded rabies viral tracing (BRT) method that enables mapping both local and long-range input connections to transcriptome-defined neurons at the single-cell level. When applied to the mouse medial prefrontal cortex (mPFC), BRT revealed that certain starter cells were innervated by a large number of input cells while others received fewer than expected inputs. Interestingly, for each inputome, the number of local input neurons was positively correlated with the number of distant input regions, suggesting a dependence of local circuit complexity on distant input diversity. Thus, the BRT method provides a valuable foundation for constructing comprehensive mesoscopic connectomes of the brain.

Indexed as

BrainNeuronsRabies virusAnimalsConnectomeMaleMiceMice, Inbred C57BLPrefrontal CortexRabiesSingle-Cell Analysisbarcoded rabies viral tracingCP: neurosciencehighly innervated neuronsmedial prefrontal cortexsingle-neuron input connectionsstarter cell interference

Identifiers

PMID41338190
PMCPMC12859487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.