Evidence map›Paper›PMID 37508539›Full record

ReviewCells2023

Flow Cytometry: The Next Revolution.

J Paul Robinson, Raluca Ostafe, Sharath Narayana Iyengar, Bartek Rajwa, Rainer Fischer

Abstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. High-Dimensional Immunophenotyping of Human Leukocytes by Spectral Cytometry.Methods in molecular biology (Clifton, N.J.) · 2027
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  9. Detection and quantification of rumen methanogens using FApplied and environmental microbiology · 2026
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20 more citing papers are in PubMed but not listed here.

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.

J Paul RobinsonDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8383-3240
Raluca OstafeMolecular Evolution, Protein Engineering and Production Facility (PI4D), Purdue University, West Lafayette, IN 47907, USA.
Sharath Narayana IyengarDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Bartek RajwaBindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7540-8236
Rainer FischerDepartment of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unmasking the subtleties of the immune system requires both a comprehensive knowledge base and the ability to interrogate that system with intimate sensitivity. That task, to a considerable extent, has been handled by an iterative expansion in flow cytometry methods, both in technological capability and also in accompanying advances in informatics. As the field of fluorescence-based cytomics matured, it reached a technological barrier at around 30 parameter analyses, which stalled the field until spectral flow cytometry created a fundamental transformation that will likely lead to the potential of 100 simultaneous parameter analyses within a few years. The simultaneous advance in informatics has now become a watershed moment for the field as it competes with mature systematic approaches such as genomics and proteomics, allowing cytomics to take a seat at the multi-omics table. In addition, recent technological advances try to combine the speed of flow systems with other detection methods, in addition to fluorescence alone, which will make flow-based instruments even more indispensable in any biological laboratory. This paper outlines current approaches in cell analysis and detection methods, discusses traditional and microfluidic sorting approaches as well as next-generation instruments, and provides an early look at future opportunities that are likely to arise.

Indexed as

GenomicsProteomicsFlow CytometryMicrofluidicsTechnologyfluorescence-based cytomicshigh-throughput analysismicrofluidicsmultiomicssingle-cell analysisspectral flow cytometry

Identifiers

PMID37508539
PMCPMC10378642

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.