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RNA-sequencing data of T-AP1-labeled NCI-N87 xenograft tumor cells sorted according to the fluorescence

GSE181505 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/12/23 Platform GPL24676
Summary
Oxidative stress is recognazed as a hallmark of cancer. However, little is known about intratumor heterogeneity of reactive oxygen species (ROS) and its influence on tumor behavior, largely due to technical challenges inherent in detecting intratumor ROS at single-cell resolution. We have developed a tumor-targeted H2O2 probe (T-AP1) by conjugating trastuzumab with both Alexa Fluor 647 (AF647), an H2O2-insensitive fluorophore, and peroxy green 1 (PG1), an irreversible H2O2-sensitive chemical probe to provide a “ratiometric” readout, allowing H2O2 measurements independent of accumulated T-AP1 levels. Given the ability of T-AP1 to persistently mark tumor cells that experience H2O2 exposure, we employed cell sorting to isolate tumor cells with high (PG1highAF647+) and low (PG1lowAF647+) H2O2 exposure levels from T-AP1–labeled NCI-N87 xenograft tumors. PG1highAF647+ and PG1lowAF647+ cells obtained via cell sorting from three biologically independent N87 tumors were subjected to RNA sequencing.
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Direct links to NCBI, no account and no request form: the whole study as GSE181505_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA752281 and SRA study SRP331194. Searching any of these in the dataset finder brings you back here.

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