Evidence map›Paper›PMID 38036616›Full record

ArticleNature biomedical engineering2024

High-dimensional multi-pass flow cytometry via spectrally encoded cellular barcoding.

Sheldon J J Kwok, Sarah Forward, Marissa D Fahlberg, Emane Rose Assita, Sean Cosgriff, Seung Hyung Lee, Geoffrey R Abbott, Han Zhu, Nicolas H Minasian, A Sean Vote and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Nature biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  12. Leukocyte dynamics inFrontiers in immunology · 2025
    Article
  13. Review
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  15. Article
  16. Review
  17. Overcoming fixation and permeabilization challenges in flow cytometry by optical barcoding and multi-pass acquisition.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
  18. Article
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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

12 authors at 2 institutions in 2 countries.

Sheldon J J KwokLASE Innovation Inc., Woburn, MA, USA. skwok@laseinno.com.ORCID http://orcid.org/0000-0001-7880-0401
Sarah ForwardLASE Innovation Inc., Woburn, MA, USA.
Marissa D FahlbergLASE Innovation Inc., Woburn, MA, USA.
Emane Rose AssitaLASE Innovation Inc., Woburn, MA, USA.
Sean CosgriffLASE Innovation Inc., Woburn, MA, USA.
Seung Hyung LeeLASE Innovation Inc., Woburn, MA, USA.
Geoffrey R AbbottLASE Innovation Inc., Woburn, MA, USA.
Han ZhuLASE Innovation Inc., Woburn, MA, USA.
Nicolas H MinasianLASE Innovation Inc., Woburn, MA, USA.
A Sean VoteLASE Innovation Inc., Woburn, MA, USA.
Nicola MartinoHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4639-2930
Seok-Hyun YunHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Cambridge, MA, USA. syun@hms.harvard.edu.ORCID http://orcid.org/0000-0002-8903-5909
Harvard University · USUniversidad de las Américas · NI

Funding

Massive wavelength-division multiplexing and imaging with laser particlesDP1EB024242 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI YUN, SEOK-HYUN ANDY · 2016 to 2020
$5.8M
Laser particles for multi-dimensional single-cell analysisR01EB033155 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI YUN, SEOK-HYUN ANDY · 2021 to 2025
$3.5M
Cyclic Flow Cytometry for Ultra-High Marker Single-Cell AnalysisR44GM139504 · NIGMS · LASE INNOVATION INC. · PI KWOK, SHELDON J.J. · 2021 to 2022
$1.7M
Sample Barcoding for Ultra High-Throughput Flow CytometryR43GM140527 · NIGMS · LASE INNOVATION INC. · PI KWOK, SHELDON J.J. · 2021 to 2021
$253k
Cyclic Flow Cytometry for Ultra-High Marker Single-Cell AnalysisR43GM139504 · NIGMS · LASE INNOVATION INC. · PI KWOK, SHELDON J.J. · 2020 to 2020
$252k
NIBIB NIH HHS DP1 EB024242NIBIB NIH HHS R01 EB033155NIGMS NIH HHS R43 GM139504NIGMS NIH HHS R43 GM140527NIGMS NIH HHS R44 GM139504
6 · The paper itself

Abstract

Advances in immunology, immuno-oncology, drug discovery and vaccine development demand improvements in the capabilities of flow cytometry to allow it to measure more protein markers per cell at multiple timepoints. However, the size of panels of fluorophore markers is limited by overlaps in fluorescence-emission spectra, and flow cytometers typically perform cell measurements at one timepoint. Here we describe multi-pass high-dimensional flow cytometry, a method leveraging cellular barcoding via microparticles emitting near-infrared laser light to track and repeatedly measure each cell using more markers and fewer colours. By using live human peripheral blood mononuclear cells, we show that the method enables the time-resolved characterization of the same cells before and after stimulation, their analysis via a 10-marker panel with minimal compensation for spectral spillover and their deep immunophenotyping via a 32-marker panel, where the same cells are analysed in 3 back-to-back cycles with 10-13 markers per cycle, reducing overall spillover and simplifying marker-panel design. Cellular barcoding in flow cytometry extends the utility of the technique for high-dimensional multi-pass single-cell analyses.

Indexed as

Leukocytes, MononuclearLightFlow CytometryHumans

Identifiers

PMID38036616
PMCPMC10963263
OpenAlexW4389175232

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.