MYC-FACT Interactions Drive Z-DNA Formation to Modulate Transcriptional Dynamics [RNA-seq CC & CL]
RNA-seq (gene expression) · human · 16 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
- 16 samples: 8 conditions, mostly in duplicateGroups 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 GSE290659_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 PRJNA1229495 and SRA study SRP566911. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8818952 rnaseq_zdna1_CC_1 rnaseq_zdna1_CC
- GSM8818953 rnaseq_zdna1_CC_2 rnaseq_zdna1_CC
- GSM8818954 rnaseq_zdna1_CL_1 rnaseq_zdna1_CL
- GSM8818955 rnaseq_zdna1_CL_2 rnaseq_zdna1_CL
- GSM8818956 rnaseq_zdna2_CC_1 rnaseq_zdna2_CC
- GSM8818957 rnaseq_zdna2_CC_2 rnaseq_zdna2_CC
- GSM8818958 rnaseq_zdna2_CL_1 rnaseq_zdna2_CL
- GSM8818959 rnaseq_zdna2_CL_2 rnaseq_zdna2_CL
- GSM8818960 rnaseq_zdna3_CC_1 rnaseq_zdna3_CC
- GSM8818961 rnaseq_zdna3_CC_2 rnaseq_zdna3_CC
- GSM8818962 rnaseq_zdna3_CL_1 rnaseq_zdna3_CL
- GSM8818963 rnaseq_zdna3_CL_2 rnaseq_zdna3_CL
- GSM8818964 rnaseq_zdna4_CC_1 rnaseq_zdna4_CC
- GSM8818965 rnaseq_zdna4_CC_2 rnaseq_zdna4_CC
- GSM8818966 rnaseq_zdna4_CL_1 rnaseq_zdna4_CL
- GSM8818967 rnaseq_zdna4_CL_2 rnaseq_zdna4_CL
- GSE270296 TGF-β Signaling Pathway and Cell-Cell Interactions in the Tumor Microenvironment Drive Bladder Cancer Progression after BCG Instillation Treatment: Insights from longitudinal Single-Nucleus RNA-Seq 14 samples shares interactions, rna-seq, drive
- GSE311827 AP-1 Mediates Cellular Adaptation and Memory Formation [Bulk RNA-seq] 192 samples shares formation, 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
- GSE260461 Sex-dependent APOE4 Neutrophil-microglia interactions drive cognitive impairment in Alzheimer's Disease 39 samples shares interactions, drive
- 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
- GSE330070 Loss of Smad4 drives vascular malformations via c-KIT-dependent high shear stress mimicry 24 samples shares formation, drive
- GSE313114 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq dose_response] 21 samples shares formation, rna-seq
- GSE235711 Immune-Epithelial Interactions and Tissue Remodeling in the Inflammatory Respiratory Nasal Tract [scRNA-seq] 20 samples shares interactions, 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.