Infinity Flow: High-Throughput Single-Cell Quantification of 100s of Proteins Using Conventional Flow Cytometry and Machine Learning

Becht, Étienne; Tolstrup, Daniel; Dutertre, Charles‐Antoine; Ginhoux, Florent; Newell, Evan W.; Gottardo, Raphaël; Headley, Mark B.

doi:10.2139/ssrn.3656603

Cited by 2 publications

(2 citation statements)

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“…The R Package InfinityFlow without background correction was used for the prediction of marker co-expression and the twodimensional projection of the data using Uniform Manifold Approximation and Projection (UMAP) plots (standard parameters as stated in the package description) (24). 328 fcs files of the LEGENDScreen were used as input.…”

Section: Infinityflow Analysismentioning

confidence: 99%

“…For this purpose, we used the human LEGENDScreen (Biolegend) and measured 328 surface markers in combination with 'backbone' markers that define neutrophils and performed InfinityFlow analysis (24). Briefly, the expression of PEconjugated markers was used to predict the specific expression of each exploratory marker on all single cell events acquired through the LEGENDScreen via non-linear regression using the expression of the backbone markers.…”

Section: Unbiased Surface Marker Screen To Identify Ldn Specific Markers Using Flow Cytometrymentioning

confidence: 99%

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Identification of Novel Low-Density Neutrophil Markers Through Unbiased High-Dimensional Flow Cytometry Screening in Non-Small Cell Lung Cancer Patients

et al. 2021

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Neutrophils have been described as a phenotypically heterogeneous cell type that possess both pro- and anti-tumor properties. Recently, a subset of neutrophils isolated from the peripheral blood mononuclear cell (PBMC) fraction has been described in cancer patients. These low-density neutrophils (LDNs) show a heterogeneous maturation state and have been associated with pro-tumor properties in comparison to mature, high-density neutrophils (HDNs). However, additional studies are necessary to characterize this cell population. Here we show new surface markers that allow us to discriminate between LDNs and HDNs in non-small cell lung cancer (NSCLC) patients and assess their potential as diagnostic/prognostic tool. LDNs were highly enriched in NSCLC patients (median=20.4%, range 0.3-76.1%; n=26) but not in healthy individuals (median=0.3%, range 0.1-3.9%; n=14). Using a high-dimensional human cell surface marker screen, we identified 12 surface markers that were downregulated in LDNs when compared to HDNs, while 41 surface markers were upregulated in the LDN subset. Using flow cytometry, we confirmed overexpression of CD36, CD41, CD61 and CD226 in the LDN fraction. In summary, our data support the notion that LDNs are a unique neutrophil population and provide novel targets to clarify their role in tumor progression and their potential as diagnostic and therapeutic tool.

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Section: Infinityflow Analysismentioning

confidence: 99%

Section: Unbiased Surface Marker Screen To Identify Ldn Specific Markers Using Flow Cytometrymentioning

confidence: 99%