Evidence map›Paper›PMID 37666818›Full record

ArticleNature communications2023

CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data.

Simone Puccio, Giorgio Grillo, Giorgia Alvisi, Caterina Scirgolea, Giovanni Galletti, Emilia Maria Cristina Mazza, Arianna Consiglio, Gabriele De Simone, Flavio Licciulli, Enrico Lugli

Abstract read
In one paragraph

Article in Nature communications, 2023. 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
–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

23 citing papers in PubMed.

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  5. Tumor-targeted IL2 promotes specific CD8Journal of experimental & clinical cancer research : CR · 2026
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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

10 authors.

Simone Puccio *Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy. simone.puccio@humanitasresearch.it.ORCID http://orcid.org/0000-0003-4007-4365
Giorgio Grillo *Institute for Biomedical Technologies, National Research Council, via Amendola 122/D, 70126, Bari, Italy.ORCID http://orcid.org/0000-0002-0137-5811
Giorgia AlvisiLaboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Caterina ScirgoleaLaboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0001-9213-5532
Giovanni GallettiLaboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0001-6613-2354
Emilia Maria Cristina MazzaLaboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0003-2424-3640
Arianna ConsiglioInstitute for Biomedical Technologies, National Research Council, via Amendola 122/D, 70126, Bari, Italy.
Gabriele De SimoneFlow Cytometry Core, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Flavio LicciulliInstitute for Biomedical Technologies, National Research Council, via Amendola 122/D, 70126, Bari, Italy.ORCID http://orcid.org/0000-0002-1861-8947
Enrico LugliLaboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy. enrico.lugli@humanitasresearch.it.ORCID http://orcid.org/0000-0002-1964-7678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers, but generally require deep expertize in bioinformatics and the use of different platforms. To overcome these limitations, we introduce CRUSTY, an interactive, user-friendly webtool incorporating the most popular algorithms for FCM data analysis, and capable of visualizing graphical and tabular results and automatically generating publication-quality figures within minutes. CRUSTY also hosts an interactive interface for the exploration of results in real time. Thus, CRUSTY enables a large number of users to mine complex datasets and reduce the time required for data exploration and interpretation. CRUSTY is accessible at https://crusty.humanitas.it/ .

Indexed as

AlgorithmsComputational BiologyData AnalysisFlow Cytometry

Identifiers

PMID37666818
PMCPMC10477295

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.