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Methods Mol Biol ; 2691: 279-325, 2023.
Article in English | MEDLINE | ID: mdl-37355554

ABSTRACT

Transcriptomic profiling has fundamentally influenced our understanding of cancer pathophysiology and response to therapeutic intervention and has become a relatively routine approach. However, standard protocols are usually low-throughput, single-plex assays and costs are still quite prohibitive. With the evolving complexity of in vitro cell model systems, there is a need for resource-efficient high-throughput approaches that can support detailed time-course analytics, accommodate limited sample availability, and provide the capacity to correlate phenotype to genotype at scale. MAC-seq (multiplexed analysis of cells) is a low-cost, ultrahigh-throughput RNA-seq workflow in plate format to measure cell perturbations and is compatible with high-throughput imaging. Here we describe the steps to perform MAC-seq in 384-well format and apply it to 2D and 3D cell cultures. On average, our experimental conditions identified over ten thousand expressed genes per well when sequenced to a depth of one million reads. We discuss technical aspects, make suggestions on experimental design, and document critical operational procedures. Our protocol highlights the potential to couple MAC-seq with high-throughput screening applications including cell phenotyping using high-content cell imaging.


Subject(s)
Gene Expression Profiling , High-Throughput Nucleotide Sequencing , RNA-Seq/methods , High-Throughput Nucleotide Sequencing/methods , Gene Expression Profiling/methods , Phenotype , High-Throughput Screening Assays/methods , Sequence Analysis, RNA/methods
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