Evidence map›Paper›PMID 39567484›Full record

ArticleMicrosystems & nanoengineering2024

Automating life science labs at the single-cell level through precise ultrasonic liquid sample ejection: PULSE.

Peiran Zhang, Zhenhua Tian, Ke Jin, Kaichun Yang, Wesley Collyer, Joseph Rufo, Neil Upreti, Xianjun Dong, Luke P Lee, Tony Jun Huang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Peiran ZhangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Zhenhua TianDepartment of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0002-1903-5604
Ke JinDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Kaichun YangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Wesley CollyerDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Joseph RufoDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0001-7408-2393
Neil UpretiDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0002-0751-8174
Xianjun DongGenomics and Bioinformatics Hub, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8052-9320
Luke P LeeDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. lplee@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-1436-4054
Tony Jun HuangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA. tony.huang@duke.edu.

Funding

Acoustofluidic Separation of Placental Nanovesicle Subpopulations in Obstetrical DiseasesR01HD103727 · NICHD · STANFORD UNIVERSITY · PI HUANG, TONY JUN, SADOVSKY, YOEL · 2021 to 2025
$2.6M
An acoustofluidic device for diagnosing preclinical Alzheimer's diseaseR44AG063643 · NIA · ASCENT BIO-NANO TECHNOLOGIES, INC. · PI WANG, LIN · 2021 to 2022
$2.5M
Development of a digital acoustofluidic system for automating liquid handling in biomedical researchR01GM141055 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2021 to 2024
$1.9M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUH3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GALL, KENNETH A, HUANG, TONY JUN · 2021 to 2022
$1.8M
Development of an acoustofluidic device for high-throughput 3D imaging and sorting of C. elegansR44OD024963 · OD · ASCENT BIO-NANO TECHNOLOGIES, INC. · PI WANG, LIN · 2022 to 2023
$1.7M
An Acoustofluidic Device for Biocompatible Platelet SeparationR44HL140800 · NHLBI · ASCENT BIO-NANO TECHNOLOGIES, INC. · PI WANG, LIN · 2021 to 2022
$1.5M
NCATS NIH HHS UH3 TR002978NHLBI NIH HHS R44 HL140800NIA NIH HHS R44 AG063643NICHD NIH HHS R01 HD103727NIGMS NIH HHS R01 GM141055NIH HHS R44 OD024963U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM141055U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HD103727U.S. Department of Health & Human Services | National Institutes of Health (NIH) UH3TR002978
6 · The paper itself

Abstract

Laboratory automation technologies have revolutionized biomedical research. However, the availability of automation solutions at the single-cell level remains scarce, primarily owing to the inherent challenges of handling cells with such small dimensions in a precise, biocompatible manner. Here, we present a single-cell-level laboratory automation solution that configures various experiments onto standardized, microscale test-tube matrices via our precise ultrasonic liquid sample ejection technology, known as PULSE. PULSE enables the transformation of titer plates into microdroplet arrays by printing nanodrops and single cells acoustically in a programmable, scalable, and biocompatible manner. Unlike pipetting robots, PULSE enables researchers to conduct biological experiments using single cells as anchoring points (e.g., 1 cell vs. 1000 cells per "tube"), achieving higher resolution and potentially more relevant data for modeling and downstream analyses. We demonstrate the ability of PULSE to perform biofabrication, precision gating, and deterministic array barcoding via preallocated droplet-addressable primers. Single cells can be gently printed at a speed range of 5-20 cell⋅s

Identifiers

PMID39567484
PMCPMC11579414

What OpenQuestion holds

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Registered trials

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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.