Microfluidic and Paper-Based Devices for Disease Detection and Diagnostic Research

Campbell, Joshua M.; Balhoff, Joseph B; Landwehr, Grant M; Rahman, Samina; Vaithiyanathan, Manibarathi; Melvin, Adam T.

doi:10.3390/ijms19092731

Cited by 57 publications

(35 citation statements)

References 181 publications

(294 reference statements)

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“…Microfluidic assays allow precise control of small amounts of fluids with automated and high-throughput operations (Oliveira et al, 2016). In the past few decades, microfluidic technology has set off a new wave of rapid development in cell biology and molecular biology related fields such as single-cell analysis (Zhuang et al, 2018;Xu X. et al, 2020), biological tissue model construction (Sontheimer-Phelps et al, 2019;Zhuang et al, 2019), and biochemical analysis (Campbell et al, 2018;Wang Z. et al, 2019;Qin et al, 2020). Currently, efforts have been taken to use microfluidic devices as powerful approaches to process epigenomic assays .…”

Section: Microfluidic Technology To Study Breast Cancer Epigenomicsmentioning

confidence: 99%

Perspectives on the Role of Histone Modification in Breast Cancer Progression and the Advanced Technological Tools to Study Epigenetic Determinants of Metastasis

et al. 2020

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Metastasis is a complex process that involved in various genetic and epigenetic alterations during the progression of breast cancer. Recent evidences have indicated that the mutation in the genome sequence may not be the key factor for increasing metastatic potential. Epigenetic changes were revealed to be important for metastatic phenotypes transition with the development in understanding the epigenetic basis of breast cancer. Herein, we aim to present the potential epigenetic drivers that induce dysregulation of genes related to breast tumor growth and metastasis, with a particular focus on histone modification including histone acetylation and methylation. The pervasive role of major histone modification enzymes in cancer metastasis such as histone acetyltransferases (HAT), histone deacetylases (HDACs), DNA methyltransferases (DNMTs), and so on are demonstrated and further discussed. In addition, we summarize the recent advances of next-generation sequencing technologies and microfluidic-based devices for enhancing the study of epigenomic landscapes of breast cancer. This feature also introduces several important biotechnologists for identifying robust epigenetic biomarkers and enabling the translation of epigenetic analyses to the clinic. In summary, a comprehensive understanding of epigenetic determinants in metastasis will offer new insights of breast cancer progression and can be achieved in the near future with the development of innovative epigenomic mapping tools.

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Section: Microfluidic Technology To Study Breast Cancer Epigenomicsmentioning

confidence: 99%

Perspectives on the Role of Histone Modification in Breast Cancer Progression and the Advanced Technological Tools to Study Epigenetic Determinants of Metastasis

et al. 2020

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“…As analytical platforms, paper-based microfluidic devices are commonly used to transport fluid samples and to store chemical reagents for the colorimetric and electrochemical detection of target analytes [29,30,31,32]. The traditional p-CMF is limited by low sensitivity and by difficulty in achieving multi-step assays with automatic processes [25].…”

Section: Introductionmentioning

confidence: 99%

Programmable Paper-Based Microfluidic Devices for Biomarker Detections

et al. 2019

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Recent advanced paper-based microfluidic devices provide an alternative technology for the detection of biomarkers by using affordable and portable devices for point-of-care testing (POCT). Programmable paper-based microfluidic devices enable a wide range of biomarker detection with high sensitivity and automation for single- and multi-step assays because they provide better control for manipulating fluid samples. In this review, we examine the advances in programmable microfluidics, i.e., paper-based continuous-flow microfluidic (p-CMF) devices and paper-based digital microfluidic (p-DMF) devices, for biomarker detection. First, we discuss the methods used to fabricate these two types of paper-based microfluidic devices and the strategies for programming fluid delivery and for droplet manipulation. Next, we discuss the use of these programmable paper-based devices for the single- and multi-step detection of biomarkers. Finally, we present the current limitations of paper-based microfluidics for biomarker detection and the outlook for their development.

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“…While in this work, FluoroCellTrack was tested on a low-throughput data for the ease of comparison with manual analysis, it can quantify several fluorescence-based, high-throughput and multiplexed data sets obtained from droplet microfluidic platforms in addition to microfluidic cell trap arrays or microdroplet arrays [37, 38]. Beyond microfluidics, this algorithm can also be easily employed to quantify fluorescent cells in platforms such as microarrays, microchannels, 3D micro-environment, microtiter plates, and petri dishes [39, 40].…”

Section: Introductionmentioning

confidence: 99%

FluoroCellTrack: An algorithm for automated analysis of high-throughput droplet microfluidic data

2019

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High-throughput droplet microfluidic devices with fluorescence detection systems provide several advantages over conventional end-point cytometric techniques due to their ability to isolate single cells and investigate complex intracellular dynamics. While there have been significant advances in the field of experimental droplet microfluidics, the development of complementary software tools has lagged. Existing quantification tools have limitations including interdependent hardware platforms or challenges analyzing a wide range of high-throughput droplet microfluidic data using a single algorithm. To address these issues, an all-in-one Python algorithm called FluoroCellTrack was developed and its wide-range utility was tested on three different applications including quantification of cellular response to drugs, droplet tracking, and intracellular fluorescence. The algorithm imports all images collected using bright field and fluorescence microscopy and analyzes them to extract useful information. Two parallel steps are performed where droplets are detected using a mathematical Circular Hough Transform (CHT) while single cells (or other contours) are detected by a series of steps defining respective color boundaries involving edge detection, dilation, and erosion. These feature detection steps are strengthened by segmentation and radius/area thresholding for precise detection and removal of false positives. Individually detected droplet and contour center maps are overlaid to obtain encapsulation information for further analyses. FluoroCellTrack demonstrates an average of a ~92–99% similarity with manual analysis and exhibits a significant reduction in analysis time of 30 min to analyze an entire cohort compared to 20 h required for manual quantification.

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Microfluidic and Paper-Based Devices for Disease Detection and Diagnostic Research

Cited by 57 publications

References 181 publications

Perspectives on the Role of Histone Modification in Breast Cancer Progression and the Advanced Technological Tools to Study Epigenetic Determinants of Metastasis

Perspectives on the Role of Histone Modification in Breast Cancer Progression and the Advanced Technological Tools to Study Epigenetic Determinants of Metastasis

Programmable Paper-Based Microfluidic Devices for Biomarker Detections

FluoroCellTrack: An algorithm for automated analysis of high-throughput droplet microfluidic data

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