Evidence map›Paper›PMID 42814335›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

High-Dimensional Immunophenotyping of Human Leukocytes by Spectral Cytometry.

Sarah Fidai, Shady Banyamin, Sahithi Thanikanti, Chih-Hsiung Chen, Ankit Saxena

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah FidaiRutgers Cancer Institute, New Brunswick, NJ, USA.
Shady BanyaminRutgers Cancer Institute, New Brunswick, NJ, USA.
Sahithi ThanikantiRutgers Cancer Institute, New Brunswick, NJ, USA.
Chih-Hsiung ChenRutgers Cancer Institute, New Brunswick, NJ, USA.
Ankit SaxenaRutgers Cancer Institute, New Brunswick, NJ, USA. as4075@cinj.rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral cytometry has rapidly evolved over the past two decades. The development of complete spectral analysis using the flow cytometer as a spectrometer has been actualized due to advances in optics, detectors, and electronics that have made single-cell flow spectroscopy a reality. Polychromatic flow cytometry is a complex process, including the design of antibody panels and instrument compensation. Spectral cytometry has contributed significantly to effectively dealing with the complexity of polychromatic flow cytometry. It has substantial potential to improve primary and clinical research. Here, we provide an overview of the methodology to develop a 15-color human polychromatic flow cytometry panel using spectral flow cytometry.

Indexed as

Flow CytometryImmunophenotypingLeukocytesHumansDendritic cellsImmunophenotypingMonocytesProgrammed death receptor -1ProliferationSpectral flow cytometryT cellTregsWhole blood

Identifiers

PMID42814335

What OpenQuestion holds

Textmetadata
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.