Impedance Characterization of Particles One by One Using a Nanosensor Electronic Platform

Impedance cytometry represents a technique that allows the electronic characterization of colloids and living cells in a highly miniaturized way. In contrast with impedance spectroscopy, the measurements are performed at a fixed frequency, providing real-time monitoring of the species traveling over the sensor. By measuring the electrical properties of particles in suspension, the dielectric characteristics (electric conductivity and capacitance) of both cells and particles can be readily determined. During the last years, this technique has been broadly investigated; however, it is still not trivial to differentiate particles of similar size based on their dielectric characteristics. A way to increase the discrimination abilities of this technique could be the integration of nanostructures into the impedance platforms. In this work, we present the impedance cytometry study of particles using microfluidic channels aligned over interdigitated gold nanowire structures as our impedimetric sensor. The characterization of particles of different sizes and their comparison with particles of different compositions will provide an understanding of the correlation between the electrical signal and the characteristics of each particle. This approach is an attractive element for label-free detection platforms that can be integrated into lab-on-a-chip systems and further implemented for single-cell analysis.

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Recent advances in plasmonic nanostructures applied for label‐free single‐cell analysis

Electroanalysis ◽

10.1002/elan.202100330 ◽

2021 ◽

Author(s):

Xue-Wei Liao ◽

Qiu-Yang Xu ◽

Zheng Tan ◽

Yang Liu ◽

Chen Wang

Keyword(s):

Single Cell ◽

Single Cell Analysis ◽

Plasmonic Nanostructures ◽

Cell Analysis ◽

Label Free ◽

Recent Advances

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(Invited) On-Chip Characterization of Microcapsules Using a Capacitive Sensor for Microencapsulation and Single-Cell Analysis Applications

ECS Meeting Abstracts ◽

10.1149/ma2021-01601603mtgabs ◽

2021 ◽

Vol MA2021-01 (60) ◽

pp. 1603-1603

Author(s):

Sajjad Janfaza ◽

Seyedehhamideh Razavi ◽

Arash Dalili ◽

Mina Hoorfar

Keyword(s):

Single Cell ◽

Single Cell Analysis ◽

Capacitive Sensor ◽

Cell Analysis ◽

On Chip

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A Review of Electrical Impedance Characterization of Cells for Label-Free and Real-Time Assays

BioChip Journal ◽

10.1007/s13206-019-3401-6 ◽

2019 ◽

Vol 13 (4) ◽

pp. 295-305 ◽

Cited By ~ 5

Author(s):

Hien T. Ngoc Le ◽

Junsub Kim ◽

Jinsoo Park ◽

Sungbo Cho

Keyword(s):

Real Time ◽

Electrical Impedance ◽

Label Free ◽

Impedance Characterization

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Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryos

Cellular and Molecular Life Sciences ◽

10.1007/s00018-014-1601-8 ◽

2014 ◽

Vol 71 (14) ◽

pp. 2707-2715 ◽

Cited By ~ 20

Author(s):

Na Liu ◽

Lin Liu ◽

Xinghua Pan

Keyword(s):

Stem Cells ◽

Single Cell ◽

Single Cell Analysis ◽

Cell Analysis ◽

Early Embryos

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Evolution and characterization of carboplatin resistance at single cell resolution

10.1101/231548 ◽

2017 ◽

Author(s):

Devora Champa ◽

Si Sun ◽

Cheng-Yu Tsai ◽

Stephen B. Howell ◽

Olivier Harismendy

Keyword(s):

Single Cell ◽

Single Cell Analysis ◽

Acquired Resistance ◽

Genetic Alterations ◽

Cell Analysis ◽

Mechanisms Of Resistance ◽

Resistance Evolution ◽

Functional Differences ◽

Clone Identity

AbstractAcquired resistance to carboplatin is a major obstacle to the cure of ovarian cancer, but its molecular underpinnings are still poorly defined. We selected multiple clones derived from a single cell in parallel for similar levels of resistance to carboplatin. The resistant clones showed no significant genetic alterations, but each one activated different mechanisms of resistance resulting in transcriptional heterogeneity. Single-cell mRNA sequencing defined multiple transcriptional states associated with clone identity and resistance evolution, and identified a subset of unselected parental cells that were already in a resistant state. Six expression signatures derived from the resistant states distinguished primary from recurrent high-grade serous ovarian cancers, predicted both response and survival and disclosed functional differences between intrinsic and acquired resistance. This multidimensional, single-cell analysis offers new insights into the dynamics of the acquisition of resistance to carboplatin, a drug of major importance to the treatment of ovarian and other cancers.

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Single-Cell Analysis of Antigen-Specific CD8+ T-Cell Transcripts Reveals Profiles Specific to mRNA or Adjuvanted Protein Vaccines

Frontiers in Immunology ◽

10.3389/fimmu.2021.757151 ◽

2021 ◽

Vol 12 ◽

Author(s):

Trine Sundebo Meldgaard ◽

Fabiola Blengio ◽

Denise Maffione ◽

Chiara Sammicheli ◽

Simona Tavarini ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Single Cell ◽

Cd8 T Cells ◽

Single Cell Analysis ◽

Expression Profiles ◽

Cd8 T Cell ◽

Cellular Heterogeneity ◽

Cell Analysis

CD8+ T cells play a key role in mediating protective immunity after immune challenges such as infection or vaccination. Several subsets of differentiated CD8+ T cells have been identified, however, a deeper understanding of the molecular mechanism that underlies T-cell differentiation is lacking. Conventional approaches to the study of immune responses are typically limited to the analysis of bulk groups of cells that mask the cells’ heterogeneity (RNA-seq, microarray) and to the assessment of a relatively limited number of biomarkers that can be evaluated simultaneously at the population level (flow and mass cytometry). Single-cell analysis, on the other hand, represents a possible alternative that enables a deeper characterization of the underlying cellular heterogeneity. In this study, a murine model was used to characterize immunodominant hemagglutinin (HA533-541)-specific CD8+ T-cell responses to nucleic- and protein-based influenza vaccine candidates, using single-cell sorting followed by transcriptomic analysis. Investigation of single-cell gene expression profiles enabled the discovery of unique subsets of CD8+ T cells that co-expressed cytotoxic genes after vaccination. Moreover, this method enabled the characterization of antigen specific CD8+ T cells that were previously undetected. Single-cell transcriptome profiling has the potential to allow for qualitative discrimination of cells, which could lead to novel insights on biological pathways involved in cellular responses. This approach could be further validated and allow for more informed decision making in preclinical and clinical settings.

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