One-Pot Time-Induced\nProteome Integral Solubility\nAlteration Assay for Automated and Sensitive Drug–Target Identification

The proteome integral solubility alteration (PISA) assay\nis widely\nused for identifying drug targets, but it is labor-intensive and time-consuming\nand requires a substantial amount of biological sample. Aiming at\nenabling automation and greatly reducing the sample amount, we developed\none-pot time-induced (OPTI)-PISA. Here, we demonstrate OPTI-PISA performance\non identifying targets of multiple drugs in cell lysate and scaling\ndown the sample amount to sub-microgram levels, making the PISA method\nsuitable for NanoProteomics. OPTI-PISA can be implemented using only\nthe standard equipment of a proteomics lab.

Publication Details

Journal
Figshare
Published
2024-11-20
DOI
https://doi.org/10.1021/acs.analchem.4c05127.s001
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

One-Pot Time-Induced\nProteome Integral Solubility\nAlteration Assay for Automated and Sensitive Drug–Target Identification

Figshare
Advanced Proteomics Techniques and Applications
article

One-Pot Time-Induced\nProteome Integral Solubility\nAlteration Assay for Automated and Sensitive Drug–Target Identification

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Abstract

The proteome integral solubility alteration (PISA) assay\nis widely\nused for identifying drug targets, but it is labor-intensive and time-consuming\nand requires a substantial amount of biological sample. Aiming at\nenabling automation and greatly reducing the sample amount, we developed\none-pot time-induced (OPTI)-PISA. Here, we demonstrate OPTI-PISA performance\non identifying targets of multiple drugs in cell lysate and scaling\ndown the sample amount to sub-microgram levels, making the PISA method\nsuitable for NanoProteomics. OPTI-PISA can be implemented using only\nthe standard equipment of a proteomics lab.

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Advanced Proteomics Techniques and Applications
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One-Pot Time-Induced\nProteome Integral Solubility\nAlteration Assay for Automated and Sensitive Drug–Target Identification · Figshare (2024) | TGRS Research Map | TGRS