Multiplex determination of antigen specific antibodies with cell binding capability in a self-driven microfluidic system

Papp, Krisztián; Holczer, Eszter; Kecse-Nagy, Csilla; Szittner, Zoltán; Lóránd, Veronika; Rovero, Paolo; Prechl, József; Fürjes, Péter

doi:10.1016/j.snb.2016.07.132

Cited by 6 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this sense this is “personal diagnostics” referring to the fact that the same antibodies can induce different biological responses in a different individual (owing to genetic and epigenetic differences in cells) and the same cells can be instructed differently by similar antibodies from different individuals (owing to differences in allotype and glycosylation). Implementation of these tests as point-of-care diagnostics by using microfluidic chips could be a promising step toward quantitative personal serology (Papp et al 2017 ).…”

Section: Quantitation Of Biological Effectsmentioning

confidence: 99%

Why current quantitative serology is not quantitative and how systems immunology could provide solutions

Prechl

2021

BIOLOGIA FUTURA

Self Cite

View full text Add to dashboard Cite

Determination of the presence of antibodies against infectious agents, self-antigens, allogeneic antigens and environmental antigens is the goal of medical serology. Along with the standardization of these tests the community also started to use the expression “quantitative serology,” referring to the fact that arbitrary units are used for the expression of results. In this review I will argue against the use of the term quantitative serology for current tests. Because each test and each antibody isotype determination uses its own references, the term semiquantitative better describes these methods. The introduction of really quantitative serology could both benefit from and drive forward systems immunological approach to immunity.

show abstract

Section: Quantitation Of Biological Effectsmentioning

confidence: 99%

Why current quantitative serology is not quantitative and how systems immunology could provide solutions

Prechl

2021

BIOLOGIA FUTURA

Self Cite

View full text Add to dashboard Cite

show abstract

“…Because of the dimensional comparison with biological cells, microfluidics has become a key technology to analyze single-cell proteins ( Chen et al, 2019 ). More specifically, microfluidic large arrays were developed to quantify both intracellular and membrane proteins of single cells ( Papp et al, 2017 ; Li et al, 2018a ; Armbrecht et al, 2019 ). In these microfluidic platforms, single cells were distributed individually in microwells and the proteins under measurements were captured by antibodies coated beneath and estimated based on fluorescent intensities.…”

Section: Introductionmentioning

confidence: 99%

Development of constrictional microchannels and the recurrent neural network in single-cell protein analysis

Zhang

Chen

et al. 2023

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

Introduction: As the golden approach of single-cell analysis, fluorescent flow cytometry can estimate single-cell proteins with high throughputs, which, however, cannot translate fluorescent intensities into protein numbers.Methods: This study reported a fluorescent flow cytometry based on constrictional microchannels for quantitative measurements of single-cell fluorescent levels and the recurrent neural network for data analysis of fluorescent profiles for high-accuracy cell-type classification.Results: As a demonstration, fluorescent profiles (e.g., FITC labeled β-actin antibody, PE labeled EpCAM antibody and PerCP labeled β-tubulin antibody) of individual A549 and CAL 27 cells were firstly measured and translated into protein numbers of 0.56 ± 0.43 × 104, 1.78 ± 1.06 × 106 and 8.11 ± 4.89 × 104 of A549 cells (ncell = 10232), and 3.47 ± 2.45 × 104, 2.65 ± 1.19 × 106 and 8.61 ± 5.25 × 104 of CAL 27 cells (ncell = 16376) based on the equivalent model of the constrictional microchannel. Then, the feedforward neural network was used to process these single-cell protein expressions, producing a classification accuracy of 92.0% for A549 vs. CAL 27 cells. In order to further increase the classification accuracies, as a key subtype of the recurrent neural network, the long short-term memory (LSTM) neural network was adopted to process fluorescent pulses sampled in constrictional microchannels directly, producing a classification accuracy of 95.5% for A549 vs. CAL 27 cells after optimization.Discussion: This fluorescent flow cytometry based on constrictional microchannels and recurrent neural network can function as an enabling tool of single-cell analysis and contribute to the development of quantitative cell biology.

show abstract

Succinylated Jeffamine ED-2003 coated polycarbonate chips for low-cost analytical microarrays

et al. 2019

View full text Add to dashboard Cite

Multiplex determination of antigen specific antibodies with cell binding capability in a self-driven microfluidic system

Cited by 6 publications

References 14 publications

Why current quantitative serology is not quantitative and how systems immunology could provide solutions

Why current quantitative serology is not quantitative and how systems immunology could provide solutions

Development of constrictional microchannels and the recurrent neural network in single-cell protein analysis

Succinylated Jeffamine ED-2003 coated polycarbonate chips for low-cost analytical microarrays

Contact Info

Product

Resources

About