Evidence map›Paper›PMID 26217952›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2015

Novel full-spectral flow cytometry with multiple spectrally-adjacent fluorescent proteins and fluorochromes and visualization of in vivo cellular movement.

Koji Futamura, Masashi Sekino, Akihiro Hata, Ryoyo Ikebuchi, Yasutaka Nakanishi, Gyohei Egawa, Kenji Kabashima, Takeshi Watanabe, Motohiro Furuki, Michio Tomura

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

54 citing papers in PubMed, 127 citations in OpenAlex.

  1. CD4Oncoimmunology · 2026
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  16. Multiparameter Flow Cytometry Monitoring of T Cell Responses.Methods in molecular biology (Clifton, N.J.) · 2024
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  20. Development of Spectral Imaging Cytometry.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
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 at 4 institutions in 1 country.

Koji FutamuraFCM Business Department, Life Science Business Division, Medical Business Unit, Sony Corporation, Minato-Ku, Tokyo, 108-0075, Japan.
Masashi SekinoConcept Development Department, Application Technology Development Division, System R&D Group, RDS Platform, Sony Corporation, Shinagawa-Ku, Tokyo, 141-0001, Japan.
Akihiro HataCenter for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Yoshida-Konoe, Kyoto, 606-8501, Japan.
Ryoyo IkebuchiCenter for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Yoshida-Konoe, Kyoto, 606-8501, Japan.
Yasutaka NakanishiCenter for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Yoshida-Konoe, Kyoto, 606-8501, Japan.
Gyohei EgawaDepartment of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan.
Kenji KabashimaDepartment of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan.
Takeshi WatanabeCenter for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Yoshida-Konoe, Kyoto, 606-8501, Japan.
Motohiro FurukiFCM Business Department, Life Science Business Division, Medical Business Unit, Sony Corporation, Minato-Ku, Tokyo, 108-0075, Japan.
Michio TomuraCenter for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Yoshida-Konoe, Kyoto, 606-8501, Japan.
Kyoto University · JPOsaka Ohtani University · JPKitano Hospital · JPSony Computer Science Laboratories · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometric analysis with multicolor fluoroprobes is an essential method for detecting biological signatures of cells. Here, we present a new full-spectral flow cytometer (spectral-FCM). Unlike conventional flow cytometer, this spectral-FCM acquires the emitted fluorescence for all probes across the full-spectrum from each cell with 32 channels sequential PMT unit after dispersion with prism, and extracts the signals of each fluoroprobe based on the spectral shape of each fluoroprobe using unique algorithm in high speed, high sensitive, accurate, automatic and real-time. The spectral-FCM detects the continuous changes in emission spectra from green to red of the photoconvertible protein, KikGR with high-spectral resolution and separates spectrally-adjacent fluoroprobes, such as FITC (Emission peak (Em) 519 nm) and EGFP (Em 507 nm). Moreover, the spectral-FCM can measure and subtract autofluorescence of each cell providing increased signal-to-noise ratios and improved resolution of dim samples, which leads to a transformative technology for investigation of single cell state and function. These advances make it possible to perform 11-color fluorescence analysis to visualize movement of multilinage immune cells by using KikGR-expressing mice. Thus, the novel spectral flow cytometry improves the combinational use of spectrally-adjacent various FPs and multicolor fluorochromes in metabolically active cell for the investigation of not only the immune system but also other research and clinical fields of use.

Indexed as

AnimalsCell MovementFlow CytometryFluorescent DyesHeLa CellsHumansLuminescent ProteinsMiceMice, Inbred C57BLMice, TransgenicFluorescent DyesLuminescent Proteinsimmune cell movementphotoconvertible fluorescent proteinseparation of spectrally-adjacent fluoroprobesspectral flow cytometry

Identifiers

PMID26217952
PMCPMC5132038
OpenAlexW1604897966

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.