Precision targeting of beta-catenin induces tumor reprogramming and immunity in hepatocellular cancers
RNA-seq (gene expression) · mouse · 58 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
- 58 samples: 13 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
- Precision targeting of β-catenin induces tumor reprogramming and immunity in hepatocellular cancersNature communications · 2025
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 GSE270977_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 PRJNA1129135 and SRA study SRP515158. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 1 samples read as cases, 16 as controls.
How we read this: 13 replicated groups read from 58 sample titles; they account for 45 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.
- GSM8342351 Met_Bcat_CTRL_BL_177 Met_Bcat_CTRL_BL
- GSM8342352 Met_Bcat_CTRL_BL_179 Met_Bcat_CTRL_BL
- GSM8342353 Met_Bcat_CTRL_BL_180 Met_Bcat_CTRL_BL
- GSM8342354 Met_Bcat_TREAT_BL_181 Met_Bcat_TREAT_BL
- GSM8342355 Met_Bcat_TREAT_BL_182 Met_Bcat_TREAT_BL
- GSM8342356 Met_Bcat_TREAT_BL_183 Met_Bcat_TREAT_BL
- GSM8342357 Met_Bcat_TREAT_BL_184 Met_Bcat_TREAT_BL
- GSM8342358 Nrf2_Bcat_CTRL_BL_562 Nrf2_Bcat_CTRL_BL
- GSM8342359 Nrf2_Bcat_CTRL_BL_563 Nrf2_Bcat_CTRL_BL
- GSM8342360 Nrf2_Bcat_CTRL_BL_568 Nrf2_Bcat_CTRL_BL
- GSM8342361 Nrf2_Bcat_TREAT_BL_566 Nrf2_Bcat_TREAT_BL
- GSM8342362 Nrf2_Bcat_TREAT_BL_567 Nrf2_Bcat_TREAT_BL
- GSM8342363 Nrf2_Bcat_TREAT_BL_572 Nrf2_Bcat_TREAT_BL
- GSM8342364 CTNNBT_MET_CTRL_1 CTNNBT_MET_CTRL
- GSM8342365 CTNNBT_MET_CTRL_2 CTNNBT_MET_CTRL
- GSM8342366 CTNNBT_MET_IRF2_1 CTNNBT_MET_IRF2
- GSM8342367 CTNNBT_MET_IRF2_2 CTNNBT_MET_IRF2
- GSM8342368 CTNNBT_MET_IRF2_3 CTNNBT_MET_IRF2
- GSM8342369 CTNNBT_MET_IRF2_4 CTNNBT_MET_IRF2
- GSM8350447 B1-1 B1
- GSM8350448 B1-2 B1
- GSM8350449 B1-3 B1
- GSM8350450 B1-4 B1
- GSM8350451 B1-5 B1
- GSM8350452 B1-6 B1
- GSM8350453 B2-1 B2
- GSM8350454 B2-2 B2
- GSM8350455 B2-3 B2
- GSM8350456 B2-4 B2
- GSM8350457 B2-5 B2
- GSM8350527 tumor_control
- GSM8350528 tumor_treat
- GSM8366486 Pooled 3 tumor_control + 3 tumor_treat samples, GEX
- GSM8366487 Pooled 3 tumor_control + 3 tumor_treat samples, FB
- GSM8366488 BL_131 LNP-CTRL
- GSM8366489 BL_146 LNP-CTNNB1 NR phenotype
- GSM8366490 BL_147 LNP-CTNNB1 NR phenotype
- GSM8366491 BL_152 LNP-CTNNB1 R Phenotype
- GSM8812874 TUMOR.CTRL.BLC409 TUMOR.CTRL.BLC
- GSM8812875 TUMOR.CTRL.BLC410 TUMOR.CTRL.BLC
+ 18 more — browse all 58 samples with per-sample file links →
- GSE270414 Precision targeting of beta-catenin induces tumor reprogramming and immunity in hepatocellular cancers [Bulk RNA-seq CTNNB1/hMet/NFE2L2] 13 samples shares hepatocellular, reprogramming, beta-catenin, precision, targeting, immunity, induces
- GSE263625 Microglial reprogramming enhances antitumor immunity and immunotherapy response in melanoma brain metastases 19 samples shares reprogramming, immunity
- GSE296733 Elevated Ozone Activates Maternal Immunity to Drive Offspring IgG-Mediated Anaphylaxis through IgG Glycosylation Reprogramming 12 samples shares reprogramming, immunity
- GSE304220 Cancer cachexia induces senescent reprogramming of brown adipose tissue and pro-cachectic S100A9 secretion by adipocytes 8 samples shares reprogramming, induces
- GSE308969 The origin of hepatocellular carcinoma is regulated by metabolic zonation 31 samples shares hepatocellular
- GSE269318 Cancer-intrinsic Cxcl5 orchestrates global metabolic reprogramming of three dimensional cancers by upregulating Hif1α and Myc expression 31 samples shares reprogramming
- GSE291594 Single-cell analysis of immune cell characteristics induced by Aoah over-expression in MYC-Luc spontaneous hepatocellular carcinoma tumors 24 samples shares hepatocellular
- GSE286047 Reprogramming intratumoral Tregs by morpholino-mediated splicing of FOXP3 for cancer immunotherapy 14 samples shares reprogramming
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.