Microfluidic Platform for Cell Isolation and Manipulation Based on Cell Properties

Yousuff, Caffiyar Mohamed; Ho, Eric Tatt Wei; K., Ismail Hussain; Hamid, Nor Hisham

doi:10.3390/mi8010015

Cited by 63 publications

(46 citation statements)

References 175 publications

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“…For example, cells with higher lipid content may be isolated out of a population by using fluorescent dyes such as Nile red and BODIPY 505/515 [76,77]. Another very promising fast developing strategy is the use of microfluidic devices that enable the screen and isolation of single cells, and thus their individual phenotypic screen [78].…”

Section: Biotechnological Implications Of Spontaneous Mutation Ratesmentioning

confidence: 99%

Spontaneous mutation rate as a source of diversity for improving desirable traits in cultured microalgae

et al. 2018

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Mutations are the main origin of the biodiversity and biological innovations across the tree of life. The number of mutations in a population depends of the mutation rate, noted μ, a key parameter for understanding the evolutionary and adaptive capacity of a species. New mutations are submitted to selection and drift and their probability of fixation in a population depends on their advantageous, deleterious or neutral fitness effect. This process occurs in natural populations, but also in any lab cultures. In this context, the role of spontaneous mutations in the generation of genetic diversity in cultured algae has so far been overlooked, despite its influence on the acquisition and maintenance of desirable phenotypic traits. Several algal species that have a high biotechnological potential, such those producing high-value molecules, might be improved by domestication and oriented selection by experimental evolution. Here, we provide the first estimation of the spontaneous mutation rate, μ, in Picochlorum costavermella (Trebouxiophyceae), a green alga with many potential biotechnological applications. Its spontaneous mutation rate is μ = 10.12 × 10 −10 (CI Poisson distribution, μ = 6.3-15.4 × 10 −10) mutations per nucleotide per genome per generation. This is one of the highest mutation rates reported for a unicellular eukaryote.

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Section: Biotechnological Implications Of Spontaneous Mutation Ratesmentioning

confidence: 99%

Spontaneous mutation rate as a source of diversity for improving desirable traits in cultured microalgae

et al. 2018

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“…Microfluidics is a popular technology for fluidic processing, chemical analysis and synthesis in a broad range of applications ranging from medical diagnostics and therapeutics [ 1 ], chemical processing [ 2 ], and food processing [ 3 ] to environmental monitoring [ 4 ]. Microfluidic devices are capable of precise and repeatable manipulations on nanoliter volumes of fluid and these capabilities are critically dependent on the geometry and dimensions of the microchannels.…”

Section: Introductionmentioning

confidence: 99%

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Yousuff

Danish

et al. 2017

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Master mold fabricated using micro milling is an easy way to develop the polydimethylsiloxane (PDMS) based microfluidic device. Achieving high-quality micro-milled surface is important for excellent bonding strength between PDMS and glass slide. The aim of our experiment is to study the optimal cutting parameters for micro milling an aluminum mold insert for the production of a fine resolution microstructure with the minimum surface roughness using conventional computer numerical control (CNC) machine systems; we also aim to measure the bonding strength of PDMS with different surface roughnesses. Response surface methodology was employed to optimize the cutting parameters in order to obtain high surface smoothness. The cutting parameters were demonstrated with the following combinations: 20,000 rpm spindle speed, 50 mm/min feed rate, depth of cut 5 µm with tool size 200 µm or less; this gives a fine resolution microstructure with the minimum surface roughness and strong bonding strength between PDMS–PDMS and PDMS–glass.

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“…In the droplet-based methods, each cell is partitioned in a hydrogel droplet [120]. In microfluidics-based methods, cells are individually captured on a microfluidic chip, whereas in plate-based methods, individual cells are placed into wells on a 96-well plate by micropipetting or fluorescence-activated cell sorting [121]. Of all the scRNA-Seq sample preparation platforms, 10X Genomics' Chromium is one of the most widely used commercial solutions.…”

Section: Single Cell Rna-sequencingmentioning

confidence: 99%

Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects

et al. 2020

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The starting point of successful hazard assessment is the generation of unbiased and trustworthy data. Conventional toxicity testing deals with extensive observations of phenotypic endpoints in vivo and complementing in vitro models. The increasing development of novel materials and chemical compounds dictates the need for a better understanding of the molecular changes occurring in exposed biological systems. Transcriptomics enables the exploration of organisms' responses to environmental, chemical, and physical agents by observing the molecular alterations in more detail. Toxicogenomics integrates classical toxicology with omics assays, thus allowing the characterization of the mechanism of action (MOA) of chemical compounds, novel small molecules, and engineered nanomaterials (ENMs). Lack of standardization in data generation and analysis currently hampers the full exploitation of toxicogenomics-based evidence in risk assessment. To fill this gap, TGx methods need to take into account appropriate experimental design and possible pitfalls in the transcriptomic analyses as well as data generation and sharing that adhere to the FAIR Nanomaterials 2020, 10, 750 2 of 23 recent advancements in the design and analysis of DNA microarray, RNA sequencing (RNA-Seq), and single-cell RNA-Seq (scRNA-Seq) data. We provide guidelines on exposure time, dose and complex endpoint selection, sample quality considerations and sample randomization. Furthermore, we summarize publicly available data resources and highlight applications of TGx data to understand and predict chemical toxicity potential. Additionally, we discuss the efforts to implement TGx into regulatory decision making to promote alternative methods for risk assessment and to support the 3R (reduction, refinement, and replacement) concept. This review is the first part of a three-article series on Transcriptomics in Toxicogenomics. These initial considerations on Experimental Design, Technologies, Publicly Available Data, Regulatory Aspects, are the starting point for further rigorous and reliable data preprocessing and modeling, described in the second and third part of the review series.

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Microfluidic Platform for Cell Isolation and Manipulation Based on Cell Properties

Cited by 63 publications

References 175 publications

Spontaneous mutation rate as a source of diversity for improving desirable traits in cultured microalgae

Spontaneous mutation rate as a source of diversity for improving desirable traits in cultured microalgae

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects

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