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.

The excessive use of antibiotics in human and veterinary medicine causes the emergence of multidrug resistant bacteria. In this context, the surveillance of many different antibiotics provokes a worldwide challenge. Hence, fast and versatile multianalyte single-use biosensors are of increasing interest for many fields such as medical analysis or environmental and food control. Here we present a microfluidic platform enabling the electrochemical readout of up to eight enzyme-linked assays (ELAs), simultaneously. To demonstrate the applicability of this platform for the surveillance and monitoring of antibiotics, we used highly sensitive biomolecular sensor systems for the simultaneous detection of two commonly employed antibiotic classes tetracycline and streptogramin. Thus, microfluidic channel networks are designed, comprising distinct numbers of immobilization sections with a very low volume of 680 nL each. These passively metered sections can be actuated separately for an individual assay procedure. The limits of detection (LOD) are determined, with high precision, to 6.33 and 9.22 ng mL for tetracycline and pristinamycin, respectively. The employed channel material, dry film photoresist (DFR), allows an easy storage of preimmobilized assays with a shelf life of at least 3 months. Multianalyte measurements in a complex medium are demonstrated by the simultaneous detection of both antibiotics in spiked human plasma within a sample-to-result time of less than 15 min.

Membranolytic anticancer peptides represent a potential strategy in the fight against cancer. However, our understanding of the underlying structure-activity relationships and the mechanisms driving their cell selectivity is still limited. We developed a computational approach as a step towards the rational design of potent and selective anticancer peptides. This machine learning model distinguishes between peptides with and without anticancer activity. This classifier was experimentally validated by synthesizing and testing a selection of 12 computationally generated peptides. In total, 83% of these predictions were correct. We then utilized an evolutionary molecular design algorithm to improve the peptide selectivity for cancer cells. This simulated molecular evolution process led to a five-fold selectivity increase with regard to human dermal microvascular endothelial cells and more than ten-fold improvement towards human erythrocytes. The results of the present study advocate for the applicability of machine learning models and evolutionary algorithms to design and optimize novel synthetic anticancer peptides with reduced hemolytic liability and increased cell-type selectivity.

Single-cell profiling provides insights into cellular behaviour that macroscale cell cultures and bulk measurements cannot reveal. In the context of personalized cancer treatment, the profiling of individual tumour cells may lead to higher success rates for therapies by rapidly selecting the most efficacious drugs. Currently, genomic analysis at the single-cell level is available through highly sensitive sequencing approaches. However, the identification and quantification of intracellular or secreted proteins or metabolites remains challenging. Here, we introduce a microfluidic method that facilitates capture, automated data acquisition and the multiplexed quantification of proteins from individual cells. The microfluidic platform comprises 1026 chambers with a volume of 152 pL each, in which single cells and barcoded beads are co-immobilized. We demonstrated multiplexed single-cell protein quantification with three different mammalian cell lines, including two model breast cancer cell lines. We established on-chip immunoassays for glyceraldehyde-3-phosphate dehydrogenase (GAPDH), galectin-3 (Gal-3) and galectin-3 binding protein (Gal-3bp) with detection limits as low as 7.0 × 104, 2.3 × 105 and 1.8 × 103 molecules per cell, respectively. The three investigated cell types had high cytosolic levels of GAPDH and could be clearly differentiated by their expression levels of Gal-3 and Gal-3bp, which are important factors that contribute to cancer metastasis. Because it employed commercially available barcoded beads for this study, our platform could be easily used for the single-cell protein profiling of several hundred different targets. Moreover, this versatile method is applicable to the analysis of bacteria, yeast and mammalian cells and nanometre-sized lipid vesicles.

Cancer cells can be released from a cancerous lesion and migrate into the circulatory system, from whereon they may form metastases at distant sites. Today, it is possible to infer cancer progression and treatment efficacy by determining the number of circulating tumor cells (CTCs) in the patient's blood at multiple time points; further valuable information about CTC phenotypes remains inaccessible. In this article, a microfluidic method for integrated capture, isolation, and analysis of membrane markers as well as quantification of proteins secreted by single CTCs and CTC clusters is introduced. CTCs are isolated from whole blood with extraordinary efficiencies above 95% using dedicated trapping structures that allow co‐capture of functionalized magnetic beads to assess protein secretion. The patform is tested with multiple breast cancer cell lines spiked into human blood and mouse‐model‐derived CTCs. In addition to immunostaining, the secretion level of granulocyte growth stimulating factor (G‐CSF), which is shown to be involved in neutrophil recruitment, is quantified The bead‐based assay provides a limit of detection of 1.5 ng mL−1 or less than 3700 molecules per cell. Employing barcoded magnetic beads, this platform can be adapted for multiplexed analysis and can enable comprehensive functional CTC profiling in the future.

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In this paper, we present a novel approach to enhance the sensitivity of microfluidic biosensor platforms with self-assembled magnetic bead chains. An adjustable, more than 5-fold sensitivity enhancement is achieved by introducing a magnetic field gradient along a microfluidic channel by means of a soft-magnetic lattice with a 350 μm spacing. The alternating magnetic field induces the self-assembly of the magnetic beads in chains or clusters and thus improves the perfusion and active contact between the analyte and the beads. The soft-magnetic lattices can be applied independent of the channel geometry or chip material to any microfluidic biosensing platform. At the same time, the bead-based approach achieves chip reusability and shortened measurement times. The bead chain properties and the maximum flow velocity for bead retention were validated by optical microscopy in a glass capillary. The magnetic actuation system was successfully validated with a biotin-streptavidin model assay on a low-cost electrochemical microfluidic chip, fabricated by dry-film photoresist technology (DFR). Labelling with glucose oxidase (GOx) permits rapid electrochemical detection of enzymatically produced H2O2.

The development of efficacious anticancer therapeutics is difficult due to the heterogeneity of the cellular response to chemotherapy. Anticancer peptides (ACPs) are promising drug candidates that have been shown to be active against a range of cancer cells. However, few ACP studies focus on tumour single-cell heterogeneities. In order to address this need, we developed a microfluidic device and an imaging procedure that enable the capture, monitoring, and analysis of several hundred single cells for the study of drug response. MCF-7 human breast adenocarcinoma cells were captured in hydrodynamic traps and isolated in individual microchambers of less than 100 pL volume. With pneumatic valves, different sets of microchambers were actuated to expose the cells to various drugs. Here, the effect of three membranolytic ACPs - melittin, aurein 1.2 and aurein 2.2 - was investigated by monitoring the efflux of calcein from single MCF-7 cells. The loss of membrane integrity was observed with two different strategies that allow either focusing on one cell for mechanistic studies or parallel analysis of hundreds of individual cells. In general, the device is applicable to the analysis of the effect of various drugs on a large number of different cell types. The platform will enable us in the future to determine the origin of heterogeneous responses on pharmacological substances like ACPs within cell populations by combining it with other on-chip analytical methods.