AP-1 Mediates Cellular Adaptation and Memory Formation [Bulk RNA-seq]
RNA-seq (gene expression) · human · 192 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)
- Samples
- 192 samples: 192 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE311827_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 PRJNA1370972 and SRA study SRP649769. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 192 sample titles: 192 distinct titles with little repetition. 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.
- GSM9332805 Sample_1_dexamethasone_pretreatno_DMSO_1
- GSM9332806 Sample_2_dexamethasone_pretreatno_DMSO_1
- GSM9332807 Sample_3_dexamethasone_pretreatno_DMSO_1
- GSM9332808 Sample_4_dexamethasone_pretreatno_Dex
- GSM9332809 Sample_5_dexamethasone_pretreatno_Dex
- GSM9332810 Sample_6_dexamethasone_pretreatno_Dex
- GSM9332811 Sample_7_dexamethasone_pretreatno_T_1
- GSM9332812 Sample_8_dexamethasone_pretreatno_T_1
- GSM9332813 Sample_9_dexamethasone_pretreatno_T_1
- GSM9332814 Sample_10_dexamethasone_pretreatno_Dex_T
- GSM9332815 Sample_11_dexamethasone_pretreatno_Dex_T
- GSM9332816 Sample_12_dexamethasone_pretreatno_Dex_T
- GSM9332817 Sample_13_dexamethasone_pretreatyes_pre_DMSO_1
- GSM9332818 Sample_14_dexamethasone_pretreatyes_pre_DMSO_1
- GSM9332819 Sample_15_dexamethasone_pretreatyes_pre_DMSO_1
- GSM9332820 Sample_16_dexamethasone_pretreatyes_pre_Dex
- GSM9332821 Sample_17_dexamethasone_pretreatyes_pre_Dex
- GSM9332822 Sample_18_dexamethasone_pretreatyes_pre_Dex
- GSM9332823 Sample_19_dexamethasone_pretreatyes_pre_T_1
- GSM9332824 Sample_20_dexamethasone_pretreatyes_pre_T_1
- GSM9332825 Sample_21_dexamethasone_pretreatyes_pre_T_1
- GSM9332826 Sample_22_dexamethasone_pretreatyes_pre_Dex_T
- GSM9332827 Sample_23_dexamethasone_pretreatyes_pre_Dex_T
- GSM9332828 Sample_24_dexamethasone_pretreatyes_pre_Dex_T
- GSM9332829 Sample_25_dexamethasone_pretreatno_T_8_1
- GSM9332830 Sample_26_dexamethasone_pretreatno_T_8_1
- GSM9332831 Sample_27_dexamethasone_pretreatno_T_8_1
- GSM9332832 Sample_28_dexamethasone_pretreatno_Dex_T_8
- GSM9332833 Sample_29_dexamethasone_pretreatno_Dex_T_8
- GSM9332834 Sample_30_dexamethasone_pretreatno_Dex_T_8
- GSM9332835 Sample_31_dexamethasone_pretreatno_T_5224_1
- GSM9332836 Sample_32_dexamethasone_pretreatno_T_5224_1
- GSM9332837 Sample_33_dexamethasone_pretreatno_T_5224_1
- GSM9332838 Sample_34_dexamethasone_pretreatno_Dex_T_5224
- GSM9332839 Sample_35_dexamethasone_pretreatno_Dex_T_5224
- GSM9332840 Sample_36_dexamethasone_pretreatno_Dex_T_5224
- GSM9332841 Sample_37_dexamethasone_pretreatyes_T_8_1
- GSM9332842 Sample_38_dexamethasone_pretreatyes_T_8_1
- GSM9332843 Sample_39_dexamethasone_pretreatyes_T_8_1
- GSM9332844 Sample_40_dexamethasone_pretreatyes_Dex_T_8
+ 152 more — browse all 192 samples with per-sample file links →
- GSE311829 AP-1 Mediates Cellular Adaptation and Memory Formation [ATAC-seq] 18 samples shares ap-1, adaptation, formation, mediates, cellular, memory
- GSE247690 Cellular adaptation to cancer therapy along a resistance continuum [scRNA-seq: PDX] 17 samples shares adaptation, cellular, rna-seq
- GSE267597 AP-1 Mediates Oncogenic Transcription and Predicts Fatality in Lung Squamous Cell Carcinoma Patients [ChIP-seq] 36 samples shares ap-1, mediates
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares adaptation, rna-seq
- GSE113619 Time series integrative analysis of RNA-Seq and miRNA expression data reveals key biologic pathways during keloid formation [RNA-seq] 64 samples shares formation, rna-seq
- GSE312942 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-seq] 36 samples shares formation, rna-seq
- GSE253091 The Small Extracellular Vesicle-Mediated Intercellular Transformation of CXCR1Low to CXCR1High Tumor Cells Promotes the Progression of Head and Neck Squamous Cell Carcinoma 36 samples shares formation, cellular
- GSE328216 NSD2 Degradation Remediates the Oncogenic Cistrome in t(4;14) Multiple Myeloma [RNA-seq] 24 samples shares mediates, 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.