OCTAD: an open workspace for virtually screening therapeutics targeting precise cancer patient groups using gene expression features

Billy Zeng, Benjamin S. Glicksberg, Patrick Newbury, Evgeny Chekalin, Jing Xing, Ke Liu, Anita Wen, Caven Chow, Bin Chen

Published: 2020-12-22 DOI: 10.1038/s41596-020-00430-z

gene expression

drug discovery

precision medicine

therapeutic screening

OCTAD

AI 解读

Genetic manipulation and immortalized culture of ex vivo primary human germinal center B cells

The cell-line-derived subcutaneous tumor model in preclinical cancer research

Subcellular patch-clamp techniques for single-bouton stimulation and simultaneous pre- and postsynaptic recording at cortical synapses

NovoSpaRc: flexible spatial reconstruction of single-cell gene expression with optimal transport

Genome-wide pooled CRISPR screening in neurospheres

High-throughput cultivation and identification of bacteria from the plant root microbiota

Viral crosslinking and solid-phase purification enables discovery of ribonucleoprotein complexes on incoming RNA virus genomes

Mitochondrial single-cell ATAC-seq for high-throughput multi-omic detection of mitochondrial genotypes and chromatin accessibility

Addendum: Micro-CT acquisition and image processing to track and characterize pulmonary nodules in mice

Multiplexed single-cell proteomics using SCoPE2

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As the field of precision medicine progresses, treatments for patients with cancer are starting to be tailored to their molecular as well as their clinical features. The emerging cancer subtypes defined by these molecular features require that dedicated r
Introduction
Materials
Procedure 1
Procedure 2
Troubleshooting
Timing
Anticipated results
References
ACKNOWLEDGMENTS

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OCTAD: an open workspace for virtually screening therapeutics targeting precise cancer patient groups using gene expression features

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