Application of disposable plastic microfluidic device arrays with customized chemistries to multiplexed biochemical assays

2002 ◽  
Vol 30 (2) ◽  
pp. 73-78 ◽  
Author(s):  
A. J. Ricco ◽  
T. D. Boone ◽  
Z. H. Fan ◽  
I. Gibbons ◽  
T. Matray ◽  
...  

Plastic microfluidic array platforms and synergistic multiplexed assay chemistries are under development for a variety of applications, including assays of gene expression, proteomics, genotyping, DNA sequencing and fragment analysis, sample prepraration and high-throughput pharmaceutical discovery. The low production costs of plastic substrates makes possible economical single-use device arrays, eliminating cleaning and sample-to-sample carryover contamination. Hundreds of microchannels and reservoirs are readily included on a single microtitre-plate-size substrate, enabling the manufacture of highly parallel fluidic array systems to increase throughput and speed.

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4811-4811
Author(s):  
Joanna S. Yi ◽  
Alex Federation ◽  
Jun Qi ◽  
Sirano Dhe-Paganon ◽  
Michael Hadler ◽  
...  

Abstract Cooperation between several epigenetic modulators defines MLL-rearranged leukemia as an epigenomic-driven cancer. Wild type MLL catalyzes trimethylation of lysine 4 on histone 3 from the methyl donor S-adenosylmethionine (SAM) at homeobox and other genes important for hematopoiesis, promoting their expression during development. However, in MLL-rearrangements, its methyltransferase domain is ubiquitously lost and replaced with >70 known fusion partners. Many of these fusion partners recruit DOT1L, the only known SAM-dependent lysine methyltransferase responsible for the methylation of lysine 79 of histone 3 (H3K79)—a mark associated with most actively transcribed genes. Therefore, the recruitment of DOT1L by MLL fusion partners to MLL-target genes leads to aberrant H3K79 hypermethylation at these loci, resulting in inappropriate gene expression and leukemogenesis. DOT1L as a therapeutic target in MLL has been genetically validated by several groups, leading to the development of SAM-competitive small molecule inhibitors of DOT1L. These inhibitors exhibit excellent biochemical activity and selectivity, yet have delayed cellular activity and needing relatively high doses, with viability effects requiring 7-10 days and EC50s for H3K79 methylation depletion of 1-3 μM in cell lines. In animal studies, this translates to a modest survival benefit while requiring high doses through continuous osmotic subcutaneous infusion. Further optimization of DOT1L inhibitors is therefore needed. To date, development of DOT1L inhibitors has been slow, perhaps related to inadequacy of discovery chemistry assay technologies. All biochemical assays are radioactivity-based and are not miniaturizeable; low-throughput and delayed cellular effects of DOT1L inhibition all hamper the discovery of improved inhibitors. Therefore a pressing need towards improved DOT1L inhibitor discovery is a robust, accessible, and rapid profiling platform. Toward this goal, we synthesized both FITC- and biotin-tagged DOT1L probe ligands. We confirmed by structural studies that binding of the probes were similar to our previously published inhibitor, depleted H3K79 methylation, and had antiproliferative effects in MLL-rearranged cell lines. We then utilized the probes to devise two non-radioactive, orthogonal biochemical assays to competitively profile putative inhibitors: one employing bead-based, proxmity fluorescence technology and the second using fluorescence polarization technology. These assays are robust and adaptable to high-throughput screening. We also designed a miniaturizable high-content imaging, immunofluorescence-based assay to assess the effect of DOT1L inhibitors on H3K79 methylation, reporting cellular IC50s after just four days of treatment. These three assays were validated against three known DOT1L inhibitors of different potencies, accurately differentiating between the compounds. Together, these orthogonal assays define an accessible platform capability to discover and optimize DOT1L inhibitors. Our platform rank-ordered a library of SAM derivatives that we synthesized, indicating that large substituents off the SAM base does not affect DOT1L binding. We also explored other features of the SAM core structure, identifying several chlorinated probes that had increased cellular potency (IC50 values ~10nM) relative to the initial compounds published, without losing specificity for DOT1L. The inhibitory effect on MLL-target gene expression correlated to the H3K79me2 decrease reported in high content assay, validating that our high-content assay accurately reports on downstream biology seen later in treatment. And as expected, the high-content potencies of our chlorinated DOT1L probes also correlated to increased anti-proliferative effect in MLL cells. Overall, we utilized chemistry, biology, and chemical biology tools to develop this profiling platform capability for more rapid discovery and optimization of small molecule DOT1L inhibitors. These assays can additionally be used to screen for non-SAM competitive inhibitors in high-throughput fashion. Furthermore, the DOT1L inhibitors and probes synthesized here (available as open-source tools) are useful in deeper mechanistic studies of the DOT1L complex and its role in MLL. Disclosures Armstrong: Epizyme: Consultancy.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Shahrzad Shadabi ◽  
Nargess Delrish ◽  
Mehdi Norouzi ◽  
Maryam Ehteshami ◽  
Fariba Habibian-Sezavar ◽  
...  

Abstract Background Human T-lymphotropic virus 1 (HTLV-1) infection may lead to the development of Adult T-cell leukemia/lymphoma (ATLL). To further elucidate the pathophysiology of this aggressive CD4+ T-cell malignancy, we have performed an integrated systems biology approach to analyze previous transcriptome datasets focusing on differentially expressed miRNAs (DEMs) in peripheral blood of ATLL patients. Methods Datasets GSE28626, GSE31629, GSE11577 were used to identify ATLL-specific DEM signatures. The target genes of each identified miRNA were obtained to construct a protein-protein interactions network using STRING database. The target gene hubs were subjected to further analysis to demonstrate significantly enriched gene ontology terms and signaling pathways. Quantitative reverse transcription Polymerase Chain Reaction (RTqPCR) was performed on major genes in certain pathways identified by network analysis to highlight gene expression alterations. Results High-throughput in silico analysis revealed 9 DEMs hsa-let-7a, hsa-let-7g, hsa-mir-181b, hsa-mir-26b, hsa-mir-30c, hsa-mir-186, hsa-mir-10a, hsa-mir-30b, and hsa-let-7f between ATLL patients and healthy donors. Further analysis revealed the first 5 of DEMs were directly associated with previously identified pathways in the pathogenesis of HTLV-1. Network analysis demonstrated the involvement of target gene hubs in several signaling cascades, mainly in the MAPK pathway. RT-qPCR on human ATLL samples showed significant upregulation of EVI1, MKP1, PTPRR, and JNK gene vs healthy donors in MAPK/JNK pathway. Discussion The results highlighted the functional impact of a subset dysregulated microRNAs in ATLL on cellular gene expression and signal transduction pathways. Further studies are needed to identify novel biomarkers to obtain a comprehensive mapping of deregulated biological pathways in ATLL.


2021 ◽  
pp. 0734242X2098082
Author(s):  
Md. Sazzadul Haque ◽  
Shafkat Sharif ◽  
Aseer Masnoon ◽  
Ebne Rashid

The SARS-CoV-2 pandemic has demonstrated both positive and negative effects on the environment. Major concerns over personal hygiene, mandated and ease in lockdown actions and slackening of some policy measures have led to a massive surge in the use of disposable personal protective equipment (PPE) and other single-use plastic items. This generated an enormous amount of plastic waste from both healthcare and household units, and will continue to do so for the foreseeable future. Apart from the healthcare workers, the general public have become accustomed to using PPE. These habits are threatening the land and marine environment with immense loads of plastic waste, due to improper disposal practices across the world, especially in developing nations. Contaminated PPE has already made its way to the oceans which will inevitably produce plastic particles alongside other pathogen-driven diseases. This study provided an estimation-based approach in quantifying the amount of contaminated plastic waste that can be expected daily from the massive usage of PPE (e.g. facemasks) because of the countrywide mandated regulations on PPE usage. The situation of Bangladesh has been analysed and projections revealed that a total of 3.4 billion pieces of single-use facemask, hand sanitizer bottles, hand gloves and disposable polyethylene bags will be produced monthly, which will give rise to 472.30 t of disposable plastic waste per day. The equations provided for the quantification of waste from used single-use plastic and PPE can be used for other countries for rough estimations. Then, the discussed recommendations will help concerned authorities and policy makers to design effective response plans. Sustainable plastic waste management for the current and post-pandemic period can be imagined and acted upon.


Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 466
Author(s):  
Marie-Christine Carpentier ◽  
Cécile Bousquet-Antonelli ◽  
Rémy Merret

The recent development of high-throughput technologies based on RNA sequencing has allowed a better description of the role of post-transcriptional regulation in gene expression. In particular, the development of degradome approaches based on the capture of 5′monophosphate decay intermediates allows the discovery of a new decay pathway called co-translational mRNA decay. Thanks to these approaches, ribosome dynamics could now be revealed by analysis of 5′P reads accumulation. However, library preparation could be difficult to set-up for non-specialists. Here, we present a fast and efficient 5′P degradome library preparation for Arabidopsis samples. Our protocol was designed without commercial kit and gel purification and can be easily done in one working day. We demonstrated the robustness and the reproducibility of our protocol. Finally, we present the bioinformatic reads-outs necessary to assess library quality control.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Beth K. Neilsen ◽  
David L. Kelly ◽  
Binita Chakraborty ◽  
Hyun Seok Kim ◽  
Michael A. White ◽  
...  

2015 ◽  
Vol 11 (11) ◽  
pp. 3137-3148
Author(s):  
Nazanin Hosseinkhan ◽  
Peyman Zarrineh ◽  
Hassan Rokni-Zadeh ◽  
Mohammad Reza Ashouri ◽  
Ali Masoudi-Nejad

Gene co-expression analysis is one of the main aspects of systems biology that uses high-throughput gene expression data.


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