Evidence map›Paper›PMID 31626774›Full record

ArticleCell2019

High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing.

Xiaoyin Chen, Yu-Chi Sun, Huiqing Zhan, Justus M Kebschull, Stephan Fischer, Katherine Matho, Z Josh Huang, Jesse Gillis, Anthony M Zador

Abstract read
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 1 pooled it
–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

152 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Article
  14. MAPseq2: a sensitive barcoded connectomics method.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

92 more citing papers are in PubMed but not listed here.

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

9 authors.

Xiaoyin ChenCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Yu-Chi SunCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Huiqing ZhanCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Justus M KebschullCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Department of Biology, Stanford University, Stanford, CA 94305, USA.
Stephan FischerCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Katherine MathoCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Z Josh HuangCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Jesse GillisCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Anthony M ZadorCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. Electronic address: zador@cshl.edu.

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Tool and Technology Development CoreU19MH114821 · NIMH · COLD SPRING HARBOR LABORATORY · PI MITRA, PARTHA PRATIM · 2017 to 2021
$64.5M
High-throughput DNA sequencing method for probing the connectivity of neural circR01NS073129 · NINDS · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2010 to 2014
$2.3M
CRCNS: Theory and experiment of neural circuit mapping by DNA sequencingR01DA036913 · NIDA · COLD SPRING HARBOR LABORATORY · PI KOULAKOV, ALEXEI, ZADOR, ANTHONY M · 2013 to 2017
$2.1M
NCI NIH HHS P30 CA045508NIDA NIH HHS R01 DA036913NIMH NIH HHS U19 MH114821NINDS NIH HHS R01 NS073129
6 · The paper itself

Abstract

Understanding neural circuits requires deciphering interactions among myriad cell types defined by spatial organization, connectivity, gene expression, and other properties. Resolving these cell types requires both single-neuron resolution and high throughput, a challenging combination with conventional methods. Here, we introduce barcoded anatomy resolved by sequencing (BARseq), a multiplexed method based on RNA barcoding for mapping projections of thousands of spatially resolved neurons in a single brain and relating those projections to other properties such as gene or Cre expression. Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons. In depth analysis uncovered a projection type restricted almost exclusively to transcriptionally defined subtypes of IT neurons. By bridging anatomical and transcriptomic approaches at cellular resolution with high throughput, BARseq can potentially uncover the organizing principles underlying the structure and formation of neural circuits.

Indexed as

AnimalsAuditory CortexBrain MappingHumansIntegrasesMiceNerve NetNeuritesPyramidal CellsPyramidal TractsSequence Analysis, RNASingle-Cell AnalysisCre recombinaseIntegrasesauditory cortexcellular barcodinghigh throughputin situ sequencingprojection mapping

Identifiers

PMID31626774
PMCPMC7836778

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.