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TRI-611, a selective, brain-penetrant molecular glue degrader of ALK

GSE329452 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/08/01 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 18 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)
Topic
Lung cancerThis series is part of our curated briefing on it.
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
Tyrosine kinase inhibitors (TKIs) targeting Anaplastic Lymphoma Kinase (ALK) have transformed the treatment landscape of ALK fusion-positive non-small cell lung carcinoma (NSCLC), but limited options for patients who progress on approved TKIs highlight a continued need for an orthogonal therapeutic approach. TRI-611 is a potent, brain-penetrant molecular glue degrader (MGD) of ALK fusion proteins with the potential to address this need .
Read the full summary ↓
TRI-611 promotes the proximity of the ALK kinase domain and CRBN via a unique degron interface distal from the kinase active site. The unique binding interface of TRI-611 leads to selectivity across the proteome including known CRBN neo-substrates and other kinases. TRI-611 treatment induces degradation of all forms of oncogenic ALK fusion proteins, including TKI-resistant mutated versions of ALK, leading to regression of cell line and patient-derived subcutaneous and intracranial tumour models of ALK-positive NSCLC. TRI-611 can be combined with orthosteric ALK TKIs, achieving synergistic and durable tumour regressions. TRI-611 represents the first example of a clinical stage MGD targeting an oncogenic gene fusion and has the potential to expand the arsenal of therapeutic options for ALK-positive NSCLC patients.
This dataset
Open GSE329452 in finder → Find more human RNA-seq datasets → Lung cancer landscape →
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 GSE329452_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 PRJNA1459258 and SRA study SRP695910. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
DMSO_SNU ×3 TRI_SNU ×3 DMSO_H3122 ×3 TRI_H3122 ×3 DMSO_H2228 ×3 TRI_H2228 ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
More Lung cancer datasets

Search all human RNA-seq datasets in GEO →

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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.