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Effects of magnolin and chloroform parts of Flos Magnoliae on gene expression in NCI-H1975 cells,and genetic changes after EGFR TKI resistance

GSE277007 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/09/16 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
16 samples: 5 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Magnolin overcomes EGFR TKI resistance in NSCLC by modulation of NDRG1-NRG2-HECW1 pathwayActa pharmacologica Sinica · 2026
Summary (written by the submitters)
we demonstrated that N-Myc Downstream Regulated 1 (NDRG1) interacts with and restrains Neuregulin 2 (NRG2) to down-regulate the EGFR. This inhibition prevents excessive autophagy protection, thereby reducing EGFR TKI drug resistance in lung cancer cell lines and xenograft mouse models. Activation of NDRG1 using compounds like Chinese herb extract Flos Magnoliae and its active monomer (magnolin) restored sensitivity in resistant cell lines to EGFR TKIs and delayed resistance in lung cancer xenograft mice.
Read the full summary ↓
These findings highlight a mechanism for resistance to a molecularly targeted therapy and provide a potential therapeutic target for overcoming resistance to EGFR TKIs, including the second-generation inhibitor afatinib
Published in
Magnolin overcomes EGFR TKI resistance in NSCLC by modulation of NDRG1-NRG2-HECW1 pathway
Wu Q, Su Q, Zhu M et al. · Acta pharmacologica Sinica 2026 · PMID 41193668 · doi:10.1038/s41401-025-01670-z
This dataset
Open GSE277007 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE277007_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1160209 and SRA study SRP532290. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41193668) ↗
Study design
5 conditions, mostly with about 4 replicates each
NCI-H1975cells, control ×4 NCI-H1975cells,magnolin ×4 NCI-H1975cells,chloroform parts of Flos Magno… ×4 HCC827 cells ×2 HCC827AR cells ×2

Supports a between-group comparison across 16 samples.

How we read this: 5 replicated groups read from 16 sample titles; they account for 16 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.