Evidence map›Paper›PMID 35361793›Full record

ArticleNature communications2022

cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies.

Christina Bligaard Pedersen, Søren Helweg Dam, Mike Bogetofte Barnkob, Michael D Leipold, Noelia Purroy, Laura Z Rassenti, Thomas J Kipps, Jennifer Nguyen, James Arthur Lederer, Satyen Harish Gohil and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

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

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  13. CytoBatchFlagR: A Comprehensive Framework to Objectively Assess High-Parameter Cytometry Data for Batch Effects.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026
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14 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

12 authors.

Christina Bligaard PedersenDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-9895-0930
Søren Helweg DamDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
Mike Bogetofte BarnkobCentre for Cellular Immunotherapy of Haematological Cancer Odense (CITCO), Department of Clinical Immunology, Odense University Hospital, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5892-1174
Michael D LeipoldHuman Immune Monitoring Center, Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5389-0906
Noelia PurroyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Laura Z RassentiDivision of Hematology-Oncology, Department of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Thomas J KippsDivision of Hematology-Oncology, Department of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Jennifer NguyenDepartment of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
James Arthur LedererDepartment of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6445-252X
Satyen Harish GohilDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-3348-5054
Lars Rønn OlsenDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark. lronn@dtu.dk.ORCID 0000-0002-6725-7850

Funding

Cancer Immune Monitoring and Analysis CenterU24CA224331 · NCI · DANA-FARBER CANCER INST · PI FRANK S HODI, Catherine Ju-Ying Wu · 2017 to 2026
$18.4M
ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2016 to 2025
$17.0M
Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
Joint Biology Consortium Resource-based CenterP30AR070253 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter A Nigrovic, Jeffrey Andrew Sparks · 2016 to 2026
$9.4M
ITSC for Leukemia: Novel Molecular strategies for NCTN "Individualized" TherapiesUG1CA233338 · NCI · UNIVERSITY OF CINCINNATI · PI BYRD, JOHN C. · 2019 to 2025
$4.5M
Therapy of acute radiation syndrome and its complications by mesenchymal stromal cells conditioned with Toll-like receptor 9 agonistsU01AI138318 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LEDERER, JAMES A., PERRELLA, MARK A · 2018 to 2022
$3.1M
NCI NIH HHS P01 CA206978NCI NIH HHS R01 CA155010NCI NIH HHS U24 CA224331NCI NIH HHS UG1 CA233338NIAID NIH HHS U01 AI138318NIAMS NIH HHS P30 AR070253
6 · The paper itself

Abstract

Combining single-cell cytometry datasets increases the analytical flexibility and the statistical power of data analyses. However, in many cases the full potential of co-analyses is not reached due to technical variance between data from different experimental batches. Here, we present cyCombine, a method to robustly integrate cytometry data from different batches, experiments, or even different experimental techniques, such as CITE-seq, flow cytometry, and mass cytometry. We demonstrate that cyCombine maintains the biological variance and the structure of the data, while minimizing the technical variance between datasets. cyCombine does not require technical replicates across datasets, and computation time scales linearly with the number of cells, allowing for integration of massive datasets. Robust, accurate, and scalable integration of cytometry data enables integration of multiple datasets for primary data analyses and the validation of results using public datasets.

Indexed as

TechnologyFlow Cytometry

Identifiers

PMID35361793
PMCPMC8971492

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.