Novel syngeneic cell lines for studying high-risk BRAFV600E-driven colorectal cancer in vivo [RNA-seq_NaJa]
RNA-seq (gene expression) · mouse · 34 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
- Mus musculus (mouse)
- Samples
- 34 samples: 12 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.
- Paper
- Novel Syngeneic Cell Lines for Studying High-Risk BRAFV600E-Driven Colorectal Cancer In VivoCancer research communications · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE296998_RAW.tar (it can run to tens of gigabytes).
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.
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 PRJNA1262341 and SRA study SRP585105. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 34 samples.
How we read this: 12 replicated groups read from 34 sample titles; they account for 34 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.
- GSM8981341 NaJa-D DMSO D1 1 NaJa-D DMSO D1
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- GSM8981348 NaJa-G Enco D1 1 NaJa-G Enco D1
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- GSM8981351 NaJa-D DMSO D5 1 NaJa-D DMSO D5
- GSM8981352 NaJa-D DMSO D1 2 NaJa-D DMSO D1
- GSM8981353 NaJa-D DMSO D5 2 NaJa-D DMSO D5
- GSM8981354 NaJa-D DMSO D5 3 NaJa-D DMSO D5
- GSM8981355 NaJa-D Enco D5 1 NaJa-D Enco D5
- GSM8981356 NaJa-D Enco D5 2 NaJa-D Enco D5
- GSM8981357 NaJa-D Enco D5 3 NaJa-D Enco D5
- GSM8981358 NaJa-F DMSO D5 1 NaJa-F DMSO D5
- GSM8981359 NaJa-F DMSO D5 2 NaJa-F DMSO D5
- GSM8981360 NaJa-F DMSO D5 3 NaJa-F DMSO D5
- GSM8981361 NaJa-F Enco D5 1 NaJa-F Enco D5
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- GSM8981364 NaJa-G DMSO D5 1 NaJa-G DMSO D5
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- GSM8981366 NaJa-G Enco D5 1 NaJa-G Enco D5
- GSM8981367 NaJa-G Enco D5 2 NaJa-G Enco D5
- GSM8981368 NaJa-G Enco D5 3 NaJa-G Enco D5
- GSM8981369 NaJa-D Enco D1 1 NaJa-D Enco D1
- GSM8981370 NaJa-D Enco D1 2 NaJa-D Enco D1
- GSM8981371 NaJa-D Enco D1 3 NaJa-D Enco D1
- GSM8981372 NaJa-F DMSO D1 1 NaJa-F DMSO D1
- GSM8981373 NaJa-F DMSO D1 2 NaJa-F DMSO D1
- GSM8981374 NaJa-F DMSO D1 3 NaJa-F DMSO D1
- GSE296999 Novel syngeneic cell lines for studying high-risk BRAFV600E-driven colorectal cancer in vivo [RNA-seq_organoids] 28 samples shares brafv600e-driven, colorectal, syngeneic, high-risk, studying, rna-seq, lines, vivo
- GSE281579 Gene expression profiling using RNA-Seq data of 12 mouse syngeneic tumor models treated with lenvatinib 107 samples shares syngeneic, rna-seq
- GSE265782 Somatic muscle engineering faithfully recapitulates a molecular spectrum of high-risk sarcomas [RNA-Seq] 81 samples shares high-risk, rna-seq
- GSE225104 RNA-Seq of gut of colorectal cancer mice fed black rice and control diets 38 samples shares colorectal, rna-seq
- GSE231802 IL-1R signaling drives enteric glia-macrophage interaction in colorectal cancer progression [bulkRNA-Seq] 36 samples shares colorectal, rna-seq
- GSE303692 A plastic EMP1⁺ to LGR5⁺ cell state conversion as a therapeutic bypass to KRAS-G12D inhibition in metastatic colorectal cancer [RNA-Seq] 24 samples shares colorectal, rna-seq
- GSE284264 Spatial genomics reveals cholesterol metabolism as a key factor in immunotherapy resistance in colorectal cancer [bulk RNA-seq] 16 samples shares colorectal, rna-seq
- GSE278083 Targeting the vulnerability of arachidonic acid metabolism to enhance immunotherapy efficacy in ARID1A-deficient colorectal cancer [RNA-Seq] 16 samples shares colorectal, rna-seq
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.