Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 38 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 38 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.
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 GSE83850_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA327201 and SRA study SRP077574. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 38 samples.
How we read this: 12 replicated groups read from 38 sample titles; they account for 38 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.
- GSM2219653 ATAC_B16_NT_1 ATAC_B16_NT
- GSM2219654 ATAC_B16_NT_2 ATAC_B16_NT
- GSM2219655 ATAC_B16_NT_3 ATAC_B16_NT
- GSM2219656 ATAC_B16_IFNy_1 ATAC_B16_IFNy
- GSM2219657 ATAC_B16_IFNy_2 ATAC_B16_IFNy
- GSM2219658 ATAC_B16_IFNy_3 ATAC_B16_IFNy
- GSM2219659 ATAC_499_NT_1 ATAC_499_NT
- GSM2219660 ATAC_499_NT_2 ATAC_499_NT
- GSM2219661 ATAC_499_NT_3 ATAC_499_NT
- GSM2219662 RNA_B16_NT_1 RNA_B16_NT
- GSM2219663 RNA_B16_NT_2 RNA_B16_NT
- GSM2219664 RNA_B16_NT_3 RNA_B16_NT
- GSM2219665 RNA_B16_IFNy_1 RNA_B16_IFNy
- GSM2219666 RNA_B16_IFNy_2 RNA_B16_IFNy
- GSM2219667 RNA_B16_IFNy_3 RNA_B16_IFNy
- GSM2219668 RNA_499_cas9_1 RNA_499_cas9
- GSM2219669 RNA_499_cas9_2 RNA_499_cas9
- GSM2219670 RNA_499_cas9_3 RNA_499_cas9
- GSM2219671 RNA_499_STAT1_KO_1 RNA_499_STAT1_KO
- GSM2219673 RNA_499_STAT1_KO_3 RNA_499_STAT1_KO
- GSM2411968 RNA_499_AGKO_3 RNA_499_AGKO
- GSM2411969 RNA_499_AGKO_5 RNA_499_AGKO
- GSM2411970 RNA_499_AGKO_6 RNA_499_AGKO
- GSM2411971 RNA_499_CRISPR_1 RNA_499_CRISP
- GSM2411972 RNA_499_CRISPR_2 RNA_499_CRISP
- GSM2411973 RNA_499_CRISPR_4 RNA_499_CRISP
- GSM2411974 RNA_499_IFNARKO_1 RNA_499_IFNARKO
- GSM2411975 RNA_499_IFNARKO_2 RNA_499_IFNARKO
- GSM2411976 RNA_499_IFNARKO_3 RNA_499_IFNARKO
- GSM2411977 RNA_499_IFNARKO_4 RNA_499_IFNARKO
- GSM2411978 RNA_499_IFNGRKO_1 RNA_499_IFNGRKO
- GSM2411979 RNA_499_IFNGRKO_2 RNA_499_IFNGRKO
- GSM2411980 RNA_499_IFNGRKO_3 RNA_499_IFNGRKO
- GSM2411981 RNA_499_IFNGRKO_4 RNA_499_IFNGRKO
- GSM2411982 RNA_499_STAT1KO_21 RNA_499_STAT1KO
- GSM2411983 RNA_499_STAT1KO_22 RNA_499_STAT1KO
- GSM2411984 RNA_499_STAT1KO_23 RNA_499_STAT1KO
- GSM2411985 RNA_499_STAT1KO_24 RNA_499_STAT1KO
- GSE235113 Tumor cell intrinsic type I interferon signaling dictates CD47-SIRPα blockade immunotherapy via metabolic reprograming. 22 samples shares interferon, blockade, program
- GSE235112 Tumor cell intrinsic type I interferon signaling dictates CD47-SIRPα blockade immunotherapy via metabolic reprograming [dataset 2] 17 samples shares interferon, blockade, program
- GSE254919 Extracellular vesicles from obese visceral adipose promote pancreatic cancer development and resistance to immune checkpoint blockade therapy [ATAC-seq] 12 samples shares resistance, checkpoint, blockade
- GSE301138 Combining p53 mRNA nanotherapy with immune checkpoint blockade reprograms the immune microenvironment for effective cancer therapy 11 samples shares checkpoint, blockade, program
- GSE334497 TROP2/claudin program mediates immune exclusion to impede checkpoint blockade in breast cancer 10 samples shares checkpoint, blockade, program
- GSE319397 Particle Reprogramming of the TLR–Ferroptosis Axis and Immunometabolic Pathways Inhibits Myeloid Suppression to Improve Checkpoint Blockade in Prostate Cancer 9 samples shares checkpoint, blockade, program
- GSE299686 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [bulk RNA-seq] 178 samples shares checkpoint, blockade
- GSE293819 Monitoring systemic immune responses to checkpoint inhibition in breast cancer reveals host responses and mechanisms of resistance 142 samples shares resistance, checkpoint
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.