23 papers · ranked by Valyu relevance
Samuel Bharti, Nikita Krishnan, Arian Veyssi, Maryam Momeni + 1 more
Microarray data enables biologists to extract differentially expressed genes (DEGs) across multiple phenotypes. While several pipelines and tools exist to perform microarray data analysis, they are targeted to users with moderate to advanced computational understanding and lack an easy-to-use, interactive and dynamic…
G. M. Aparna, Kishore K. R. Tetala, Marshall Williams
Microarrays are one of the trailblazing technologies of the last two decades and have displayed their importance in all the associated fields of biology. They are widely explored to screen, identify, and gain insights on the characteristics traits of biomolecules (individually or in complex solutions). A wide variety…
Luca Visentin, Luca Munaron, Federico Alessandro Ruffinatti
Tens of thousands of gene expression data sets describing a variety of model organisms in a many different pathophysiological conditions are currently stored in publicly available databases such as Gene Expression Omnibus (GEO) and ArrayExpress. As microarray technology is giving way to RNA-Seq, it becomes strategic to…
Sophie Bérubé, Tamaki Kobayashi, Amy Wesolowski, Douglas E. Norris + 3 more
Protein microarrays are a promising technology that measure protein levels in serum or plasma samples. Due to the high technical variability of these assays and high variation in protein levels across serum samples in any population, directly answering biological questions of interest using protein microarray…
Matthew DiSalvo, Belén Cortés-Llanos, Cody A. LaBelle, David M. Murdoch + 2 more
'David M. Murdoch' 'Nancy L. Allbritton' 'Angeliki Tserepi'] Microarrays are essential components of analytical instruments. The elements of microarrays may be imbued with additional functionalities and encodings using composite materials and structures, but traditional microfabrication methods present substantial…
Anahita Banaei, Shadrokh Samavi, Ebrahim Nasr Esfahani
Microarray technology is a new and powerful tool for the concurrent monitoring of a large number of gene expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and…
Tracey N. Bell, Aubrey E. Kusi-Appiaha, Pengfei Lyu, L. Zhu + 5 more
'David H. Van Winkle' 'Hongyuan Cao' 'M. Singh' 'Steven Lenhert'] High throughput screening of small molecules and natural products is costly, requiring significant amounts of time, reagents, and operating space. Although microarrays have proven effective in the miniaturization of screening for certain biochemical…
Juwayria, Priyansh Shrivastava, Kaustar Yadav, Sourabh Das + 5 more
10X Visium, a popular Spatial transcriptomics (ST) method, faces limited adoption due to its high cost and restricted sample usage per slide. To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D…
Dmytro Fishman
Accurate information about protein content in the organism is instrumental for a better understanding of human biology and disease mechanisms. While the presence of certain types of proteins can be life-threatening, the abundance of others is an essential condition for an individual's overall well-being. Protein…
Emine Akpinar, Batuhan Hangun, Murat Oduncuoglu, Oguz Altun + 2 more
'Onder Eyecioglu' 'Zeynel Yalcin'] Abstract—DNA microarray technology enables the simultaneous measurement of expression levels of thousands of genes, thereby facilitating the understanding of the molecular mechanisms underlying complex diseases such as brain tumors and the identification of diagnostic genetic…
Jürgen Behr, Timm Michel, Maya Giridhar, Santra Santhosh + 11 more
Large- to ultra-large-scale synthesis of nucleic acids is becoming an increasingly important tool for understanding and manipulating biological systems, as well as for developing new technologies based on engineered biological materials, including DNA-based nanofabrication, aptamers and writing digital data at the…
Liwei Yang, Avery Ball, Jesse Liu, Tanya Jain + 4 more
'Firoz Akhter' 'Donghui Zhu' 'Jun Wang'] Despite the fact that proteins carry out nearly all cellular functions and mark the differences of cells, the existing single-cell tools can only analyze dozens of proteins, a scale far from full characterization of cells and tissue yet. Herein, we present a single-cell cyclic…
Pavel Sokolov, Irina Evsegneeva, Alexander Karaulov, Alyona Sukhanova + 1 more
'Alyona Sukhanova' 'Igor Nabiev'] The prevalence of allergic diseases has increased tremendously in recent decades, which can be attributed to growing exposure to environmental triggers, changes in dietary habits, comorbidity, and the increased use of medications. In this context, the multiplexed diagnosis of…
Maryam Eshraghi Evari, Md. Nasir Sulaiman, Amir Behjat
Data Authors: ['Maryam Eshraghi Evari' 'Md. Nasir Sulaiman' 'Amir Behjat'] DNA microarray gene-expression data has been widely used to identify cancerous gene signatures. Microarray can increase the accuracy of cancer diagnosis and prognosis. However, analyzing the large amount of gene expression data from microarray…
Authors not listed
Microarrays are widely used for detecting target analytes and biomarkers, with fabrication methods ranging from non-contact to contact bioprinting techniques. Microcontact bioprinting (μCP), which utilizes elastomeric stamps to transfer biorecognition molecules (bioinks) onto substrates, offers advantages such as…
Authors not listed
Large-scale de novo nucleic acid synthesis is a powerful tool enabling researchers to better understand and engineer biological systems. Fields ranging from genomics to nucleic acid therapeutics to synthetic biology make use of high-throughput experimental approaches requiring access to large pools or libraries of DNA…
Keegan Flanagan, Steven Pelech, Yossef Av-Gay, Khanh Dao Duc
Analysis of signal transduction pathways relies on monitoring global changes in cellular response to perturbation or genetic manipulation. Antibody microarray data provides an increasingly viable tool for the monitoring and analyzing high throughput expression and protein phosphorylation data. However, computational…
Claudius L. Dietsche, Lucien R. Stöcklin, Robert Strutt, Petra S. Dittrich
Arrays for High-Throughput Quantitative Analysis of Cytokines from Single Macrophages Authors: Claudius L. Dietsche, Lucien R. Stöcklin, Robert Strutt, Petra S. Dittrich Macrophages play a critical role in the development of the tumor microenvironment (TME). Recruited macrophages in the TME differentiate into various…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
Revanth Reddy, Liwei Yang, Jesse Liu, Zhuojie Liu + 1 more
Highly multiplexed analysis of biospecimens significantly advances the understanding of biological basics of diseases, but these techniques are limited by the number of multiplexity and the speed of processing. Here, we present a rapid multiplex method for quantitative detection of protein markers on brain sections…
Tadija Kekić, Jory Lietard
Arranged DNA Strands that Can Produce 24-bit Color Depth Authors: ['Tadija Kekić' 'Jory Lietard'] Nucleic acid microarray photolithography combines density, throughput, and positional control in DNA synthesis. These surface-bound sequence libraries are conventionally used in large-scale hybridization assays against…
Shadman Khan, Amid Shakeri, Jonathan Monteiro, Simrun Tariq + 5 more
With both foodborne illness and food spoilage detrimentally impacting human health and the economy, there is growing interest in the development of in situ sensors that offer real-time monitoring of food quality within enclosed food packages. While oligonucleotide-based fluorescent sensors have illustrated significant…
David A. Russell, Erin M. Gorden, Michelle A. Peck, Christina M. Neal + 6 more
Microarray processing, which interrogates hundreds of thousands of single nucleotide polymorphisms (SNPs) across the human genome, has recently gained traction in forensics due to its use in forensic genetic genealogy, which is based on analysis using SNPs to compare distant relatives in publicly curated databases for…