A Microfluidic Chip for ICPMS Sample Introduction

Verboket, Pascal E.; Borovinskaya, Olga; Meyer, Nicole; Günther, Detlef; Dittrich, Petra S.

doi:10.3791/52525

Cited by 3 publications

(4 citation statements)

References 37 publications

(37 reference statements)

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“…For cross-validation, subcellular LA-ICPMS imaging was compared to synchrotron radiation confocal X-ray fluorescence of single cells. Recently, Verboket et al presented single cell profiling for elemental analysis of single red blood cells 178. Using a microfluidic adapter, they were able to inject cell-laden droplets into an ICPMS instrument and detected the iron content of the individual cells.…”

Section: Mass Spectrometric Analysismentioning

confidence: 99%

“…Recently, Verboket et al presented single cell profiling for elemental analysis of single red blood cells. 178 Using a microfluidic adapter, they were able to inject cell-laden droplets into an ICPMS instrument and detected the iron content of the individual cells. In addition, Wang and co-workers reported a system to investigate single cell mineral element contents with time-resolved ICPMS.…”

Section: ■ Mass Spectrometric Analysismentioning

confidence: 99%

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Recent Advances in the Analysis of Single Cells

2016

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Advances of analytical methods and emerging microfluidic tools have made it possible to investigate biological processes in living organisms in detail and reach sensitivities sufficient for single-cell analysis. The term "single-cell analysis" typically refers to the elucidation of cell-to-cell differences in large cell populations, such as size, morphology, growth rate, or molecular content like the composition of lipids, proteins, metabolites, DNA/RNA, etc. Many different techniques have been developed to address the effects of cell heterogeneities. 1-4As far as we know today, heterogeneities appear in all cell populations (bacteria, yeast, and mammalian cells) and even within cell lineages, where all cells are derived from the very same mother cell. Besides the fundamental research questions (such as, why are cells different and how does the difference affect cell physiology and fate?), single-cell analysis has practical applications in many research fields.5 As will be covered in this Review, the examples include cancer biology, stem cells and regenerative medicine, microbiology and pathogenesis, neuroscience, immunology, and many more.The biggest challenges of single-cell analysis arise from the small size of cells, the tiny absolute number of target molecules, the large number of different molecules present in a wide range of concentrations and, last but not least, the complexity imposed by many related intra-or intercellular dynamic processes. To follow these dynamic processes at the single cell level, due to the response to environmental changes or drugs, cell differentiation, or metabolic changes, methods with a high time resolution and high throughput are required in addition to high sensitivity and specificity. Quantification with highly precise and accurate read-out is essential to ensure that the revealed heterogeneities indeed originate from the cell population and are not methodical artifacts.To date, various chemical and physical techniques are applied in the field of single-cell analysis. They typically address selected aspects of the single cells and may be complementary to each other. In the following, we focus on new developments in the fields iD ORCID Petra S.

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Section: Mass Spectrometric Analysismentioning

confidence: 99%

Section: ■ Mass Spectrometric Analysismentioning

confidence: 99%

Recent Advances in the Analysis of Single Cells

2016

Self Cite

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“…The advancement of technologies in biomedical research for toxicology, and particularly in in-vitro experimental models, has increased the possibilities of applications of such advances in diagnosis more complex disease processes. New mechanistically based methods could be established from all these approaches, which, once validated, can be applied to clinical practice [23][24][25]. TER is a widely accepted quantitative technique to measure the integrity of tight junction dynamics in cell culture models of endothelial and epithelial monolayers.…”

Section: Discussionmentioning

confidence: 99%

Early Nano Detection of Liver Toxicity and Injury

Hwang

Yang

et al. 2018

BJSTR

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Nanotechnology increases the biological applications of nanomaterials, especially in the field of nanomedicine. An efficient method for early detection of liver toxicity and prevention of irreversible damage is important. For developing a measurement of liver toxicity in a faster and more convenient way, we used a Trans-Epithelial Electrical Resistance (TER) and Light Addressable Potentiometric Sensor (LAPS) technical platform to set up an early detection of liver toxicity via nanotechnology. The liver toxicity measurements with in-vitro method included Methyl Tetrazolium Bromide (MTB) assay and Lactate Dehydrogenase (LDH) cytotoxicity assay, and acetaminophen or graphene-based nanomaterials were used. LDH cytotoxicity assay in primary hepatocyte of SD-rat was checked its release on 4 hours and 24 hours after TiO 2 was added. The liver cells toxicity with addition of acetaminophen was detected after 48~72 hours and 16~24 hours later.The effect of graphene nanoplatelets on the TER value of the C 3 A cell monolayer was also performed. The results showed that at 4 hours there was no elevation of LDH cytotoxicity. However, at 24 hours the LDH cytotoxicity significantly elevated that was proportional to the concentration of TiO 2 . The cells treated with 500 ug/ml acetaminophen lost about 45% of viability compared to those cells exposed to 1,000 ug/ml acetaminophen lost about 60% of viability. Cytotoxic effects of the graphene nanoplatelets were reflected by the TER value of the cell monolayer much earlier than they were reflected by the LDH release. The MTT assay results indicated that the order of cytotoxicity was graphene < graphene -OH < graphene-NH 2 . Our conclusions are TER measurement has faster detection rate for the cell toxicity that can be significant to detect the mortality and cytotoxicity of cultured hepatocytes. Cytotoxic effects of the graphene nanoplatelets could be detected by the TER, and they were detected early than reflected by the LDH release.

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“…Moreover, MS‐based analysis of individual cells have been successfully realized, e.g. the quantitative elemental analysis (targeting iron) in bovine red blood cells by ICP‐MS .…”

Section: Available Technologies For Single‐cell Analysismentioning

confidence: 99%

Analysis of metabolites in single cells—what is the best micro‐platform?

Dittrich

Ibáñez

2015

Electrophoresis

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This review covers new innovations and developments in the field of single-cell level analysis of metabolites, involving the role of microfluidic and microarray platforms to manipulate and handle the cells prior their detection. Microfluidic and microarray platforms have shown great promise. The latest developments demonstrate their potential to identify a particular cell or even an ensemble of cells (sharing a common property or phenotype) that co-exist in a much larger cell population. The reason for this is the capability of these platforms to perform several complex analytical processes, such as: cleanup, sorting, derivatization, separation, and detection, with great robustness, speed, and reduced sample/reagent consumption. Here, we present several examples that illustrate the rapid strides that have been made for the routine analysis of metabolites by coupling different microfluidics and microarrays devices to a wide range of analytical detectors (e.g. fluorescent microscopy, electrochemical, and mass spectrometry). Herein, we also present selected examples detailing the use of microfluidics and microarrays in the visualization of the natural occurring cell-to-cell heterogeneity in isogenic populations, in particular during the response to external cues. The possibility to accurate monitor the cell-to-cell heterogeneity based on different levels of key metabolites is of clinical relevance, since cell-to-cell heterogeneity can influence, for example, the outcome of a drug treatment.

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A Microfluidic Chip for ICPMS Sample Introduction

Cited by 3 publications

References 37 publications

Recent Advances in the Analysis of Single Cells

Recent Advances in the Analysis of Single Cells

Early Nano Detection of Liver Toxicity and Injury

Analysis of metabolites in single cells—what is the best micro‐platform?

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