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SRX15235695: GSM6132979: HCC1395_RNA; Homo sapiens; RNA-Seq
1 ILLUMINA (NextSeq 500) run: 23.1M spots, 1.7G bases, 641.9Mb downloads

External Id: GSM6132979_r1
Submitted by: Polyak, Medical Oncology, Dana-Farber Cancer Institute
Study: Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (TNBC cell lines RNA-Seq)
show Abstracthide Abstract
Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. We found that mesenchymal TNBCs are more similar to mesenchymal neuroblastoma and rhabdoid tumors than to other TNBC subtypes, and the PRRX1 transcription factor serves as a key driver of these tumors. By directly regulating the transcription of mesenchymal genes, PRRX1 is sufficient for inducing the mesenchymal subtype but is not required for its maintenance. Overall design: RNA-seq of 34 TNBC cell lines
Sample: HCC1395_RNA
SAMN28194318 • SRS12968864 • All experiments • All runs
Organism: Homo sapiens
Library:
Name: GSM6132979
Instrument: NextSeq 500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: SINGLE
Construction protocol: Total RNA was extracted using the Qiagen RNeasy Mini Kit. RNA-seq libraries were prepared using Illumina TruSeq Stranded mRNA sample preparation kits from 500 ng of purified total RNA according to the manufacturer's protocol. The finished dsDNA libraries were quantified by Qubit fluorometer, Agilent TapeStation 2200, and RT-qPCR using the Kapa Biosystems library quantification kit according to the manufacturer's protocols.
Runs: 1 run, 23.1M spots, 1.7G bases, 641.9Mb
Run# of Spots# of BasesSizePublished
SRR1917013523,052,9291.7G641.9Mb2023-11-09

ID:
21714276

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