Literature DB >> 26974493

Multiplexed Detection of Epigenetic Markers Using Quantum Dot (QD)-Encoded Hydrogel Microparticles.

Sang Yun Yeom1,2, Choong Hyun Son1, Byung Sun Kim3,4,5, Sung Hyun Tag3,4, Eunjoo Nam4, Hyogeun Shin1,6, So Hyun Kim1, Haemin Gang1, Hyunjoo J Lee1,6, Jungkyu Choi2,7, Heh-In Im3,4,5, Il-Joo Cho1,6, Nakwon Choi1,6.   

Abstract

Epigenetic alterations in gene expression are influenced by experiences and environment, resulting in significant variation of epigenetic markers from individual to individual. Therefore, it is imperative to measure various epigenetic markers simultaneously from samples of individual subjects to accurately analyze the epigenetic markers in biological samples. Moreover, the individualized genome-wide analysis has become a critical technology for recent trends in clinical applications such as early diagnosis and personalized medicine screening of numerous diseases. The array-based detection of modified histones, conventionally used for multiplexed analysis of epigenetic changes, requires pooling of samples from many subjects to analyze population-wise differences in the expression of histone markers and does not permit individualized analysis. Here, we report multiplexed detection of genome-wide changes in various histone modifications at a single-residue resolution using quantum dot (QD)-encoded polyethylene glycol diacrylate (PEGDA) hydrogel microparticles. To demonstrate the potential of our methodology, we present the simultaneous detection of (1) acetylation of lysine 9 of histone 3 (Ac-H3K9), (2) dimethylation of H3K9 (2Me-H3K9), and (3) trimethylation of H3K9 (3Me-H3K9) from three distinct regions in the brain [nucleus accumbens (NAc), dorsal striatum (DSt), and cerebellum (Cbl)] of cocaine-exposed mice. Our hydrogel-based epigenetic assay enabled relative quantification of the three histone variants from only 10 μL of each brain lysate (protein content = ∼ 1 μg/μL) per mouse. We verified that the exposure to cocaine induced a significant increase of acetylation while a notable decrease in methylation in NAc.

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Year:  2016        PMID: 26974493     DOI: 10.1021/acs.analchem.5b04190

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

1.  Microfluidic platform for selective microparticle parking and paired particle isolation in droplet arrays.

Authors:  Lynna Chen; Jae Jung Kim; Patrick S Doyle
Journal:  Biomicrofluidics       Date:  2018-03-01       Impact factor: 2.800

2.  Microparticle parking and isolation for highly sensitive microRNA detection.

Authors:  Jae Jung Kim; Lynna Chen; Patrick S Doyle
Journal:  Lab Chip       Date:  2017-09-12       Impact factor: 6.799

3.  Flow lithography in ultraviolet-curable polydimethylsiloxane microfluidic chips.

Authors:  Junbeom Kim; Heseong An; Yoojin Seo; Youngmee Jung; Jong Suk Lee; Nakwon Choi; Ki Wan Bong
Journal:  Biomicrofluidics       Date:  2017-04-27       Impact factor: 2.800

4.  Single-Color Barcoding for Multiplexed Hydrogel Bead-Based Immunoassays.

Authors:  Tobias A Weber; Lukas Metzler; Patrick L Fosso Tene; Thomas Brandstetter; Jürgen Rühe
Journal:  ACS Appl Mater Interfaces       Date:  2022-05-26       Impact factor: 10.383

  4 in total

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