Evidence map›Paper›PMID 34387544›Full record

ArticleeLife2021

Scaled, high fidelity electrophysiological, morphological, and transcriptomic cell characterization.

Brian R Lee, Agata Budzillo, Kristen Hadley, Jeremy A Miller, Tim Jarsky, Katherine Baker, DiJon Hill, Lisa Kim, Rusty Mann, Lindsay Ng and 18 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  5. Article
  6. Single-cell RNA sequencing in stroke and traumatic brain injury: Current achievements, challenges and future perspectives on transcriptomic profiling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. A Spinal Circuit for Modular Gating of Organ Somatosensation.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

28 authors.

Brian R Lee *Allen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-3210-5638
Agata Budzillo *Allen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-2723-3272
Kristen HadleyAllen Institute for Brain Science, Seattle, United States.
Jeremy A MillerAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0003-4549-588X
Tim JarskyAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-4399-539X
Katherine BakerAllen Institute for Brain Science, Seattle, United States.
DiJon HillAllen Institute for Brain Science, Seattle, United States.
Lisa KimAllen Institute for Brain Science, Seattle, United States.
Rusty MannAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-0226-2069
Lindsay NgAllen Institute for Brain Science, Seattle, United States.
Aaron OldreAllen Institute for Brain Science, Seattle, United States.
Ram RajanbabuAllen Institute for Brain Science, Seattle, United States.
Jessica TrinhAllen Institute for Brain Science, Seattle, United States.
Sara VargasAllen Institute for Brain Science, Seattle, United States.
Thomas BraunByte Physics, Berlin, Germany.ORCID 0000-0002-1416-2065
Rachel A DalleyAllen Institute for Brain Science, Seattle, United States.
Nathan W GouwensAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0001-8429-4090
Brian E KalmbachAllen Institute for Brain Science, Seattle, United States.
Tae Kyung KimAllen Institute for Brain Science, Seattle, United States.
Kimberly A SmithAllen Institute for Brain Science, Seattle, United States.
Gilberto Soler-LlavinaAllen Institute for Brain Science, Seattle, United States.
Staci SorensenAllen Institute for Brain Science, Seattle, United States.
Bosiljka TasicAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-6861-4506
Jonathan T TingAllen Institute for Brain Science, Seattle, United States.
Ed LeinAllen Institute for Brain Science, Seattle, United States.
Hongkui ZengAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-0326-5878
Gabe J MurphyAllen Institute for Brain Science, Seattle, United States.
Jim BergAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-3300-5399

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
A multimodal atlas of human brain cell typesU01MH114812 · NIMH · ALLEN INSTITUTE · PI LEIN, ED · 2017 to 2021
$19.2M
Mozak: Creating an Expert Community to accelerate neuronal reconstruction at scaleR01MH116247 · NIMH · UNIVERSITY OF WASHINGTON · PI POPOVIC, ZORAN · 2018 to 2022
$3.1M
NCATS NIH HHS UL1 TR000423NIH HHS P51 OD010425NIMH NIH HHS R01 MH116247NIMH NIH HHS U01 MH114812
6 · The paper itself

Abstract

The Patch-seq approach is a powerful variation of the patch-clamp technique that allows for the combined electrophysiological, morphological, and transcriptomic characterization of individual neurons. To generate Patch-seq datasets at scale, we identified and refined key factors that contribute to the efficient collection of high-quality data. We developed patch-clamp electrophysiology software with analysis functions specifically designed to automate acquisition with online quality control. We recognized the importance of extracting the nucleus for transcriptomic success and maximizing membrane integrity during nucleus extraction for morphology success. The protocol is generalizable to different species and brain regions, as demonstrated by capturing multimodal data from human and macaque brain slices. The protocol, analysis and acquisition software are compiled at https://githubcom/AllenInstitute/patchseqtools. This resource can be used by individual labs to generate data across diverse mammalian species and that is compatible with large publicly available Patch-seq datasets.

Indexed as

Electrophysiological PhenomenaTranscriptomeAnimalsBrainHumansMacaca mulattaMiceNeuronsPatch-Clamp TechniquesSingle-Cell AnalysisSoftwareelectrophysiologygeneticsgenomicshumanmorphologymouseneurosciencepatch-seqrhesus macaqueRNA-seqtranscriptomics

Identifiers

PMID34387544
PMCPMC8428855

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.