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Drug-Induced Differential Gene Expression Analysis on Nanoliter Droplet Microarrays: Enabling Tool for Functional Precision Oncology

El Khaled EL Faraj, Razan ORCID iD icon 1; Popova, Anna 1; Chakraborty, Shraddha; Zhou, Meijun 1; Sobol, Morgan [Beteiligte*r] 2; Thiele, David 2; ShatfordAdams, Lilly [Beteiligte*r]; Correa Cassal, Maximiano [Beteiligte*r] 2; Kaster, A.-K. [Beteiligte*r] 3; Dietrich, Sascha; Levkin, P. ORCID iD icon 4
1 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
2 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
3 Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)
4 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

Drug-induced differential gene expression analysis (DGEA) is an essential tool for uncovering the molecular basis of phenotypic changes in cells upon drug treatment, and ultimately for understanding the mechanisms of individual tumor responses to anticancer drugs. Performing high-throughput DGEA after drug treatment is challenging due to the very high cost and labor-intensive multi-step sample preparation protocols. In particular, performing drug-induced DGEA on cancer cells derived from patient biopsies is even more challenging due to the scarcity of available cells.
We introduce a novel, miniaturized method operating at the nanoliter scale for drug-induced DGEA. This innovative approach facilitates high-throughput and parallel analysis of the drug response of cells derived from patients, effectively circumventing issues related to limited samples and the laborious nature of traditional protocols.
The method is based on the Droplet Microarray (DMA) platform, a microscope glass slide with a pattern of hydrophilic spots separated by a superhydrophobic background, which enables the formation of droplets suitable for testing a minute number of cells with compounds. ... mehr


Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Institut für Biologische und Chemische Systeme (IBCS)
Institut für Organische Chemie (IOC)
Publikationstyp Forschungsdaten
Publikationsdatum 10.10.2024
Erstellungsdatum 01.10.2024 - 01.10.2024
Identifikator DOI: 10.35097/e6434y1n86568and
KITopen-ID: 1000174652
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter droplet microarray, differential gene expression analysis, qPCR, drug screening, functional precision oncology, chronic lymphocytic leukemia
Liesmich

The provided data are technical repeats from the research experimental details. including qPCR data and image analysis for cellular viability.

Art der Forschungsdaten Dataset
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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