Evidence map›Paper›PMID 35372303›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Using the Autofluorescence Finder on the Sony ID7000

Nicholas Wanner, Jerry Barnhart, Nicholas Apostolakis, Violetta Zlojutro, Kewal Asosingh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
    Article
  6. Development of Spectral Imaging Cytometry.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  7. 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

5 authors at 2 institutions in 1 country.

Nicholas WannerAsosingh Lab, Department of Inflammation and Immunity, Cleveland Clinic, Lerner Research Institute, Cleveland, OH, United States.
Jerry BarnhartSony Biotechnology Inc., San Jose, CA, United States.
Nicholas ApostolakisAsosingh Lab, Department of Inflammation and Immunity, Cleveland Clinic, Lerner Research Institute, Cleveland, OH, United States.
Violetta ZlojutroAsosingh Lab, Department of Inflammation and Immunity, Cleveland Clinic, Lerner Research Institute, Cleveland, OH, United States.
Kewal AsosinghAsosingh Lab, Department of Inflammation and Immunity, Cleveland Clinic, Lerner Research Institute, Cleveland, OH, United States.
Cleveland Clinic Lerner College of Medicine · USSony Corporation (United States) · US

Funding

Targeting pathological hyaluronan matricesP01HL103453 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI ERZURUM, SERPIL C. · 2011 to 2020
$26.8M
Airway redox biochemistry as a deteriminant of asthma phenotype during adolescen*U10HL109250 · NHLBI · UNIVERSITY OF VIRGINIA · PI ERZURUM, SERPIL C., GASTON, BENJAMIN · 2011 to 2016
$4.2M
NHLBI NIH HHS P01 HL103453NHLBI NIH HHS U10 HL109250
6 · The paper itself

Abstract

Autofluorescence (AF) is a feature of all cell types, though some have more than others. In tissues with complex heterogeneous cellularity, AF is frequently a source of high background, masking faint fluorescent signals and reducing the available dynamic range of detectors for detecting fluorescence signals from markers of interest in a flow cytometry panel. Pulmonary flow cytometry presents unique challenges because lung cells are heterogeneous and contain varying amounts of high AF. The goal of this study was to demonstrate how a novel AF Finder tool on the Sony ID7000™ Spectral Cell Analyzer can be used to identify and screen multiple AF subsets in complex highly AF tissues like murine lungs. In lung single cell suspensions, the AF Finder tool identified four distinct AF spectra from six highly AF subsets. The subtraction of these distinct AF spectra resulted in a resolution increase by several log decades in several fluorescent channels. The major immune and lung tissue resident cells in a murine model of asthma were easily identified in a multi-color panel using AF subtraction. The findings demonstrate the practicality of the AF Finder tool, particularly when analyzing samples with multiple AF populations of varying intensities, in order to reduce fluorescence background and increase signal resolution in spectral flow cytometry.

Indexed as

autofluorescenceautofluorescence findermurine lungSony ID7000spectral flow cytometry

Identifiers

PMID35372303
PMCPMC8965042
OpenAlexW4220905030

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.