Evidence map›Paper›PMID 39713304›Full record

ArticlebioRxiv : the preprint server for biology2024

High-Complexity Barcoded Rabies Virus for Scalable Circuit Mapping Using Single-Cell and Single-Nucleus Sequencing.

David Shin, Madeleine E Urbanek, H Hanh Larson, Anthony J Moussa, Kevin Y Lee, Donovan L Baker, Elio Standen-Bloom, Sangeetha Ramachandran, Derek Bogdanoff, Cathryn R Cadwell and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

David ShinBiomedical Sciences Graduate Program, University of California, San Francisco, CA, USA.ORCID 0000-0001-7029-089X
Madeleine E UrbanekBiomedical Sciences Graduate Program, University of California, San Francisco, CA, USA.ORCID 0000-0002-0320-2260
H Hanh LarsonDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Anthony J MoussaMedical Scientist Training Program, University of California, San Francisco, CA, USA.ORCID 0000-0002-9538-2747
Kevin Y LeeDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Donovan L BakerDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Elio Standen-BloomDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Sangeetha RamachandranBiomedical Sciences Graduate Program, University of California, San Francisco, CA, USA.ORCID 0009-0002-9674-3310
Derek BogdanoffTetrad Graduate Program, University of California, San Francisco, CA, USA.
Cathryn R CadwellDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.ORCID 0000-0003-1963-8285
Tomasz J NowakowskiDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.

Funding

BRAIN CONNECTS: Synaptic Resolution Whole-Brain Circuit Mapping of Molecularly Defined Cell Types Using a Barcoded Rabies VirusU01NS132353 · NINDS · STANFORD UNIVERSITY · PI TOLIAS, ANDREAS, ZADOR, ANTHONY M · 2023 to 2025
$6.1M
Assessing Genomic, Regulatory and Transcriptional Variation at Single Nuclei Resolution in the Brains of Individuals with Autism Spectrum DisorderR01MH125516 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD KRIEGSTEIN, Tomasz Nowakowski · 2021 to 2026
$3.8M
Neurodevelopmental defects of the thalamocortical pathway as a convergent feature of psychiatric disordersR01MH128364 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Tomasz Nowakowski, JOHN L. R. RUBENSTEIN · 2023 to 2026
$3.0M
Machine Learning Augmented Discovery of AAV Capsids for Cell Type Specific Access into Human Neurons and GliaUF1MH130700 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOWAKOWSKI, TOMASZ, SCHAFFER, DAVID V · 2022 to 2022
$2.9M
Developmental Timing During Cortical DevelopmentR01NS123263 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Tomasz Nowakowski · 2022 to 2026
$2.1M
The role of retinoic acid signaling in patterning the human cerebral cortexK08NS126573 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Cathryn Rene Cadwell · 2022 to 2026
$1.2M
Illumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583k
NIH HHS S10 OD028511NIMH NIH HHS R01 MH125516NIMH NIH HHS R01 MH128364NIMH NIH HHS UF1 MH130700NINDS NIH HHS K08 NS126573NINDS NIH HHS R01 NS123263NINDS NIH HHS U01 NS132353
6 · The paper itself

Abstract

Single cell genomics has revolutionized our understanding of neuronal cell types. However, scalable technologies for probing single-cell connectivity are lacking, and we are just beginning to understand how molecularly defined cell types are organized into functional circuits. Here, we describe a protocol to generate high-complexity barcoded rabies virus (RV) for scalable circuit mapping from tens of thousands of individual starter cells in parallel. In addition, we introduce a strategy for targeting RV-encoded barcode transcripts to the nucleus so that they can be read out using single-nucleus RNA sequencing (snRNA-seq). We apply this tool in organotypic slice cultures of the developing human cerebral cortex, which reveals the emergence of cell type-specific circuit motifs in midgestation. By leveraging the power and throughput of single cell genomics for mapping synaptic connectivity, we chart a path forward for scalable circuit mapping of molecularly-defined cell types in healthy and disease states.

Indexed as

barcode complexitybarcode diversityBarcoded rabies virusbrain developmentcortexhumansingle-cell RNA sequencingsingle-nucleus RNA sequencingsubplate

Identifiers

PMID39713304
PMCPMC11661106

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.