CRL2-FEM1B uses heme to recruit BACH1 for degradation and regulate ferroptosis in lung cancer
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × KP_sgCTRL_siCTRL vs 3 × KP_sgBACH1_siCTRL vs 3 × KP_sgCTRL_siFEM1B vs 3 × KP_sgBACH1_siFEM1BGroups 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
- CRL2(FEM1B) uses heme to recruit BACH1 for degradation and regulate ferroptosis in lung cancerMolecular cell · 2026
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 GSE294756_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 PRJNA1251558 and SRA study SRP579010. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8919046 KP_sgCTRL_siCTRL_1 KP_sgCTRL_siCTRL
- GSM8919047 KP_sgCTRL_siCTRL_2 KP_sgCTRL_siCTRL
- GSM8919048 KP_sgCTRL_siCTRL_3 KP_sgCTRL_siCTRL
- GSM8919049 KP_sgBACH1_siCTRL_1 KP_sgBACH1_siCTRL
- GSM8919050 KP_sgBACH1_siCTRL_2 KP_sgBACH1_siCTRL
- GSM8919051 KP_sgBACH1_siCTRL_3 KP_sgBACH1_siCTRL
- GSM8919052 KP_sgCTRL_siFEM1B_1 KP_sgCTRL_siFEM1B
- GSM8919053 KP_sgCTRL_siFEM1B_2 KP_sgCTRL_siFEM1B
- GSM8919054 KP_sgCTRL_siFEM1B_3 KP_sgCTRL_siFEM1B
- GSM8919055 KP_sgBACH1_siFEM1B_1 KP_sgBACH1_siFEM1B
- GSM8919056 KP_sgBACH1_siFEM1B_2 KP_sgBACH1_siFEM1B
- GSM8919057 KP_sgBACH1_siFEM1B_3 KP_sgBACH1_siFEM1B
- GSE245648 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [RNA-seq_BMDM] 24 samples shares bach1, regulate, heme
- GSE245649 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [RNA-seq_muscle] 11 samples shares bach1, regulate, heme
- GSE245647 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [ChIP-seq] 62 samples shares bach1, regulate, heme
- GSE245646 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [ATAC-seq_muscle] 22 samples shares bach1, regulate, heme
- GSE245645 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [ATAC-seq_BMDM] 12 samples shares bach1, regulate, heme
- GSE245650 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [Capture Hi-C] 6 samples shares bach1, regulate, heme
- GSE318678 mRNA 3ʹ UTRs direct microRNA degradation to participate in imprinted gene networks and regulate growth dataset 6 48 samples shares degradation, regulate
- GSE193207 STK40 regulates T cell development and effector function through COP1-depenendent degradation of c-Jun transcription factor 48 samples shares degradation, regulate
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.